diff --git a/CNAME b/CNAME index 588576342d0..8b137891791 100644 --- a/CNAME +++ b/CNAME @@ -1 +1 @@ -www.allanlab.org \ No newline at end of file + diff --git a/README.md b/README.md index 0651ae5cf7e..79186ab4a3c 100644 --- a/README.md +++ b/README.md @@ -1,11 +1 @@ -# Allan Lab Website - -This is the website of our academic research group at Leiden University. - -This website is powered by Jekyll and some Bootstrap, Bootwatch. We tried to make it simple yet adaptable, so that it is easy for you to use it as a template. Plese feel free to copy and modify for your own purposes. You don't have to link to us or mention us (but of course we appreciate it). - -Go to *aboutwebsite.md* to learn how to copy and modidy this page for your purpose. - - -Copyright Allan Lab. Code released under the MIT License. - +# Newtork and Data Science Lab Website diff --git a/_config.yml b/_config.yml index d28d0b61a13..8270456c8f4 100644 --- a/_config.yml +++ b/_config.yml @@ -6,7 +6,7 @@ # 'jekyll serve'. If you change this file, please restart the server process. # Site settings -title: The Allan Lab +title: The Network and Data Science Lab at Vanderbilt University email: your-email@domain.com description: > # this means to ignore newlines until "baseurl:" Write an awesome description for your new site here. You can edit this diff --git a/_data/affiliated.yml b/_data/affiliated.yml new file mode 100644 index 00000000000..302907653d4 --- /dev/null +++ b/_data/affiliated.yml @@ -0,0 +1,14 @@ +- name: Yunchao (Lance) Liu + photo: YunchaoLiu.png + info: Computer Science PhD + email: yunchao.liu@vanderbilt.edu + number_educ: 1 + education1: PhD student in Meiler Lab @ VU + education2: + education3: + education4: + education5: + website: https://yunchaoliu.github.io/ + linkedin: https://www.linkedin.com/in/yunchaoliu/ + twitter: https://twitter.com/YunchaoLanceLiu + github: https://github.com/YunchaoLiu diff --git a/_data/alumni_bsc.yml b/_data/alumni_bsc.yml index 6f0d8150a31..d181c551578 100644 --- a/_data/alumni_bsc.yml +++ b/_data/alumni_bsc.yml @@ -1,19 +1 @@ -- name: Vishnu Saj, Spring 2017 - -- name: Arjo Andringa, Spring 2016 - -- name: Joey Braspenning, Spring 2017 - -- name: Tjerk Benschop, Summer 2017 - -- name: Daniëlle van Klink, Spring 2016 - -- name: Margot Leemker, Spring 2017 - -- name: Sietske Lensen, Spring 2017 - -- name: Jasper van Egeraat, Spring 2018 - -- name: Ringo Groenewegen, Spring 2018 - -- name: Amber Vervloet, Spring 2019 +#- name: First Last, Semester Year diff --git a/_data/alumni_members.yml b/_data/alumni_members.yml index 959b3aa2c64..bfafc51a79b 100644 --- a/_data/alumni_members.yml +++ b/_data/alumni_members.yml @@ -1,53 +1,10 @@ -- name: Gijsbert Verdoes - photo: verdoes.jpg - duration: In the Allan Lab 2015 - 2018, now Project manager at the FMD - info: Fine mechanical engineer associated with the FMD working in our group - email: verdoes@fmd.physics.leidenuniv.nl - number_educ: 1 - education1: Leidse instrumentmakers School - education2: - education3: - education4: - -- name: Irene Battisti - photo: irene.jpg - info: PhD student - duration: In the Allan Lab Jan 2015 to June 2019, now R&D scientist at Nearfield Instruments - email: Battisti@Physics.LeidenUniv.nl - number_educ: 3 - education1: Master Padova University - education2: Master thesis at Leiden University with Jan van Ruitenbeek - education3: PhD Leiden University! - -- name: Doohee Cho - photo: Doohee2.jpg - info: Postdoc - duration: In the Allan Lab May 2017 to June 2019, now assistant professor at Yonsei University - email: cho@physics.leidenuniv.nl - number_educ: 4 - education1: B.S. Yonsei University, Korea - education2: PhD Yonsei University, Korea with In-Whan Lyo - education3: Postdoc POSTECH with Han Woong Yeom - education4: Postdoc Rutgers with Sang-Wook Cheong - -- name: Maarten Leeuwenhoek - photo: Maarten.png - info: PhD Student, shared with the Groeblacher lab at TU Delft under a NanoFront grant. - email: M.Leeuwenhoek@tudelft.nl - duration: In the Allan Lab December 2015 to February 2020, now design engineer at ASML - number_educ: 1 - education1: Master Leiden University with Milan Allan - education2: - education3: - education4: - -- name: Freek Groenewoud - photo: Freek.jpg - info: Fine mechanical engineer (also associated with the FMD) - email: Groenewoud@physics.leidenuniv.nl - number_educ: 2 - duration: In the Allan Lab 2018 - 2020 - education1: Leidse Instrumentmaker School - education2: Mechanical Engineer , Hogeschool Delft - education3: - education4: +#- name: First Last +# photo: image.jpg +# duration: Start - End, Now ... +# info: Role info +# email: email address +# number_educ: 1 +# education1: school +# education2: +# education3: +# education4: diff --git a/_data/alumni_msc.yml b/_data/alumni_msc.yml index 6d916c558d2..d181c551578 100644 --- a/_data/alumni_msc.yml +++ b/_data/alumni_msc.yml @@ -1,21 +1 @@ -- name: Maarten Leeuwenhoek, Spring 2015 - -- name: Koen M Bastiaans, Spring 2015 - -- name: Farshaad Hoeseni, Fall 2015 - -- name: Oliver Ostojic, Spring 2016 - -- name: Tjerk Benschop, Spring 2016 - -- name: Bert Visscher, Fall 2017 - -- name: Ahmad Jamalzada, Fall 2017 - -- name: Corne Koks, Fall 2018 - -- name: Damian Bouwmeester, Summer 2019 - -- name: Rosanne Wijgman, Fall 2019 - -- name: Amber Mozes, Fall 2020 +#- name: First Last, Semester Year diff --git a/_data/alumni_visitors.yml b/_data/alumni_visitors.yml index f19aed49872..d181c551578 100644 --- a/_data/alumni_visitors.yml +++ b/_data/alumni_visitors.yml @@ -1,13 +1 @@ -- name: Nikolaos Iliopoulos, Spring 2016 - -- name: Vitaly Fedoseev, all of 2016 - -- name: Alexander Vanstone, Spring 2016 - -- name: Ramakrishna Aluru, Summer 2018 - -- name: Changwei Zou, Spring 2018 - -- name: Kemal Demir, Summer 2019 - -- name: Vincent Stalman, 2019 +#- name: First Last, Semester Year diff --git a/_data/bs.yml b/_data/bs.yml new file mode 100644 index 00000000000..c288afcea83 --- /dev/null +++ b/_data/bs.yml @@ -0,0 +1,29 @@ +- name: Macharia Kanyatte + photo: MachariaKanyatte.png + info: Electrical Engineering BS + email: macharia.m.kanyatte@vanderbilt.edu + number_educ: 1 + education1: Tennessee Louis Stokes Alliance Program + education2: + education3: + education4: + education5: + website: 0 + linkedin: https://www.linkedin.com/in/macharia-kanyatte/ + twitter: 0 + github: 0 + +- name: Leyao (Laura) Wang + photo: laura.jpg + info: Computer Science + Math BS + email: leyao.wang@vanderbilt.edu + number_educ: 0 + education1: + education2: + education3: + education4: + education5: + website: 0 + linkedin: https://www.linkedin.com/in/leyao-wang-77ab45262/ + twitter: 0 + github: 0 diff --git a/_data/faculty.yml b/_data/faculty.yml new file mode 100644 index 00000000000..10ca0c728f3 --- /dev/null +++ b/_data/faculty.yml @@ -0,0 +1,18 @@ +#education can be bullets such as prev positions or links + +- name: Tyler Derr + photo: TylerDerr.png + info: Assistant Professor of Computer Science + email: tyler.derr@vanderbilt.edu + number_educ: 2 + education1: Teaching and Affiliate Faculty Member, Data Science Institute + education2: Faculty Fellow, Frist Center for Autism and Innovation + education3: + education4: + education5: + website: http://www.TylerDerr.com + scholar: 0 + scholar2: https://scholar.google.com/citations?user=et6IhFcAAAAJ + linkedin: https://www.linkedin.com/in/tylersnetwork + twitter: https://twitter.com/TylersNetwork + github: 0 diff --git a/_data/former.yml b/_data/former.yml new file mode 100644 index 00000000000..f92b8cde2c9 --- /dev/null +++ b/_data/former.yml @@ -0,0 +1,196 @@ +- name: Ben Van Sleen + photo: BenVanSleen.png + info: Computer Science MS + email: benjamin.h.van.sleen@vanderbilt.edu + number_educ: 3 + education1: DSI-SRP Fellow (Summer 2021) + education2: Computer Engineering & Economics BS + education3: Summer 2021 - 2023 + education4: + education5: + website: 0 + linkedin: https://www.linkedin.com/in/benvansleen + twitter: 0 + github: https://github.com/benvansleen + +- name: Emily Doehring + photo: EmilyDoehring.png + info: Computer Science BS + email: emily.h.doehring@vanderbilt.edu + number_educ: 1 + education1: 2022 + education2: + education3: + education4: + education5: + website: 0 + linkedin: https://www.linkedin.com/in/emily-doehring/ + twitter: 0 + github: 0 + +- name: Norman Jetmundsen + photo: NormanJetmundsen.png + info: Computer Science BS + email: zxl499@mocs.utc.edu + number_educ: 1 + education1: Frist Center Intern (Summer 2021) + education2: + education3: + education4: + education5: + website: 0 + linkedin: 0 + twitter: 0 + github: 0 + +- name: Kaleb Briggs + photo: KalebBriggs.png + info: Computer Information Systems BS + email: + number_educ: 1 + education1: Frist Center Intern (Summer 2021) + education2: + education3: + education4: + education5: + website: 0 + linkedin: 0 + twitter: 0 + github: 0 + + +- name: Aaron Brookhouse + photo: AaronBrookhouse.png + info: Electrical Engineering BS + email: + number_educ: 2 + education1: Remote from Michigan State University + education2: Nominated for CRA Outstanding Undergraduate Research Award + education3: + education4: + education5: + website: 0 + linkedin: 0 + twitter: 0 + github: 0 + +- name: Xinran (Nancy) Pan + photo: XinranPan.png + info: High School Student + email: + number_educ: 2 + education1: Summer 2021 + education2: Next position - BS at CMU + education3: + education4: + education5: + website: 0 + linkedin: 0 + twitter: 0 + github: 0 + + +- name: Trevor Pillow + photo: TrevorPillow.png + info: Computer Science BS + email: trevor.pillow@vanderbilt.edu + number_educ: 1 + education1: VUSRP Fellow (Summer 2021) + education2: + education3: + education4: + education5: + website: 0 + linkedin: 0 + twitter: 0 + github: 0 + +- name: Chet Weissberg + photo: ChetWeissberg.png + info: Computer Science BS + email: chet.l.weissberg@vanderbilt.edu + number_educ: 1 + education1: DSI-SRP Fellow (Summer 2021) + education2: + education3: + education4: + education5: + website: https://github.com/chet-faitherofaidan-lordofthehighseas + linkedin: 0 + twitter: 0 + github: 0 + +- name: Sam Libaire + photo: SamLibaire.png + info: Computer Science BS + email: samuel.p.libaire@vanderbilt.edu + number_educ: 1 + education1: Clark Scholarship Program (Summer 2021) + education2: + education3: + education4: + education5: + website: 0 + linkedin: https://www.linkedin.com/in/sam-libaire-79720b173/ + twitter: 0 + github: https://github.com/samliba + +- name: Ao Qu + photo: NoPhoto.png + info: Computer Science, Economics, & Mathematics BS + email: ao.qu@vanderbilt.edu + number_educ: 1 + education1: Fall 2021 + education2: + education3: + education4: + education5: + website: 0 + linkedin: 0 + twitter: 0 + github: 0 + +- name: Cole Sawyer + photo: ColeSawyer.png + info: Computer Science MS + email: cole.g.sawyer@vanderbilt.edu + number_educ: 1 + education1: Fall 2020 - Summer 2021 + education2: + education3: + education4: + education5: + website: 0 + linkedin: https://www.linkedin.com/in/cole-s-396a879b/ + twitter: 0 + github: http://github.com/sawyercg + +- name: Kayla Johnson + photo: KaylaJohnson.png + info: Data Science MS + email: kayla.johnson.1@vanderbilt.edu + number_educ: 2 + education1: Awarded the NISE Graduate Trainee Fellowship + education2: Spring 2021 - Spring 2022 + education3: + education4: + education5: + website: 0 + linkedin: https://www.linkedin.com/in/kayla-johnson-832695187/ + twitter: 0 + github: https://github.com/kaylajohnson1 + +- name: Shivam Agarwal + photo: ShivamAgarwal.png + info: Electronics and Communications Engineering B.Tech + email: + number_educ: 2 + education1: Remote from Manipal Institute of Technology + education2: Next Position - MS/PhD at UIUC + education3: + education4: + education5: + website: 0 + linkedin: 0 + twitter: 0 + github: 0 diff --git a/_data/former_bs.yml b/_data/former_bs.yml new file mode 100644 index 00000000000..cc1f0c9eae8 --- /dev/null +++ b/_data/former_bs.yml @@ -0,0 +1,15 @@ +- name: Jack O'Keefe + photo: JackOKeefe.png + info: Computer Science BS, Economics BS + email: jack.m.okeefe@vanderbilt.edu + number_educ: 0 + education1: + education2: + education3: + education4: + education5: + website: 0 + linkedin: 0 + twitter: 0 + github: 0 + diff --git a/_data/hs.yml b/_data/hs.yml new file mode 100644 index 00000000000..8b137891791 --- /dev/null +++ b/_data/hs.yml @@ -0,0 +1 @@ + diff --git a/_data/interns.yml b/_data/interns.yml new file mode 100644 index 00000000000..8b137891791 --- /dev/null +++ b/_data/interns.yml @@ -0,0 +1 @@ + diff --git a/_data/ms.yml b/_data/ms.yml new file mode 100644 index 00000000000..631140b2aa7 --- /dev/null +++ b/_data/ms.yml @@ -0,0 +1,75 @@ +- name: Catherine Yang + photo: CatherineYang.png + info: Computer Science BS+MS + email: catherine.y.yang@vanderbilt.edu + number_educ: 0 + education1: + education2: + education3: + education4: + education5: + website: 0 + linkedin: https://www.linkedin.com/in/catherine-yang127/ + twitter: 0 + github: 0 + +- name: Xin (Allen) Wang + photo: XinWang.png + info: Computer Science MS + email: xin.wang.1@vanderbilt.edu + number_educ: 1 + education1: Vanderbilt Engineering Graduate Fellowship Award + education2: + education3: + education4: + education5: + website: https://github.com/xwang38438 + linkedin: 0 + twitter: 0 + github: 0 + +- name: Qinwen Ge + photo: QinwenGe.jpg + info: Computer Science MS + email: qinwen.ge@vanderbilt.edu + number_educ: 1 + education1: Vanderbilt Engineering Graduate Fellowship Award + education2: + education3: + education4: + education5: + website: 0 + linkedin: https://www.linkedin.com/in/qinwen-ge/ + twitter: 0 + github: 0 + +- name: Xuhui (Daniel) Zhan + photo: XuhuiZhan.png + info: Data Science MS + email: xuhui.zhan@vanderbilt.edu + number_educ: 0 + education1: + education2: + education3: + education4: + education5: + website: https://xuhuizhan5.github.io/ + linkedin: https://www.linkedin.com/in/danielzhandatascience/ + twitter: 0 + github: 0 + +- name: Fanhao Zhou + photo: NoPhoto.png + info: Computer Science MS + email: fanhao.zhou@vanderbilt.edu + number_educ: 0 + education1: + education2: + education3: + education4: + education5: + website: 0 + linkedin: https://www.linkedin.com/in/%E5%87%A1%E7%9A%93-%E5%91%A8-569ba7291/ + twitter: 0 + github: 0 + diff --git a/_data/news.yml b/_data/news.yml index 4326e26fb95..23e36436815 100644 --- a/_data/news.yml +++ b/_data/news.yml @@ -1,162 +1,417 @@ +- date: 5/2024 + headline: "Yuying starts her Summer'24 research internship at Visa Research!" -- date: 22. January 2021 - headline: "Koen wins the Ehrenfest-Afanassjewa prize for best physics thesis of the Netherlands!" +- date: 4/2024 + headline: "Lance's team won 1st Place in VU's AI Showcase by the Data Science Institute!" -- date: 21. January 2021 - headline: "New paper on arXiv, on Cooper pairs above Tc" +- date: 4/2024 + headline: "Our tutorial on ''Data Quality-Aware Graph Machine Learning'' is now online and was presented at SDM'24!" -- date: 16. January 2021 - headline: "Our YSR paper is out, in collaboration with Copenhagen." +- date: 4/2024 + headline: "Yu receives the Best Doctoral Forum Poster Runner-Up Award at SDM'24!" -- date: 08. December 2020 - headline: "Our new paper is out, in collaboration with the groups of Baumberger, Perry and Mackenzie." +- date: 4/2024 + headline: "Anne is awarded the Department of Energy (DOE) Computational Science Graduate Fellowship!" -- date: 02. November 2020 - headline: "Maarten's paper is published in Microsyst Nanoeng." +- date: 4/2024 + headline: "Yuying's paper ''Fairness and Diversity in Recommender Systems: A Survey'' is accepted at ACM TIST!" -- date: 15. October 2020 - headline: "Welcome Jiasen!" +- date: 3/2024 + headline: "Catherine successfully defended her MS thesis ''An Analysis of Local Neighborhood-based Paradoxes in Signed Social Networks!''" -- date: 29. September 2020 - headline: "TGB paper (led by ICFO and Geneva) is in Nature Physics! See also coverage by Dorine Schenk in NRC" +- date: 3/2024 + headline: "Tyler and Yu are invited to serve as Student Travel Award Chair at CIKM'24!" -- date: 14. September 2020 - headline: "Maarten's paper is published in PRB." +- date: 3/2024 + headline: "Yu is awarded Vanderbilt's Outstanding Doctoral Student Award! (one of three for the whole university)" -- date: 05. September 2020 - headline: "Our new paper on twisted bilayer graphene is on arXiv." +- date: 3/2024 + headline: "Yu will join University of Oregon as a Tenure-track Assistant Professor in Computer Science starting Fall'24!" -- date: 18. March 2020 - headline: "LION made a nice video about Koen and his research." +- date: 2/2024 + headline: "Laura is selected for the 2024 Vanderbilt Undergraduate Summer Research Program (VUSRP)!" -- date: 8. January 2020 - headline: "Irene wins discoverer of the year by the faculty of Science! (Press release)!" +- date: 2/2024 + headline: "Yu's paper ''Knowledge Graph-based Session Recommendation with Session-Adaptive Propagation'' is accepted at WWW'24!" -- date: 10. December 2019 - headline: "Koen defends his PhD with a cum laude (top 5%)!" +- date: 1/2024 + headline: "Yuying's paper ''Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness'' is accepted at WWW'24!" + +- date: 1/2024 + headline: "Tyler is invited to give a talk ''Network Science for Social Good'' in the Frist Center Salon Series!" + +- date: 1/2024 + headline: "Yu's paper ''A Topological Perspective on Demystifying GNN-Based Link Prediction Performance'' is accepted at ICLR'24!" -- date: 5. September 2019 - headline: "The noise doubling paper is published in Phys. Rev. B!" +- date: 2023 + headline: "YEAR" -- date: 25. August 2019 - headline: "Doohee got an assistant professor job at Yonsei University!" +- date: 11/2023 + headline: "Tyler receives Vanderbilt's Provost Immersion Grant for Faculty!" -- date: 25. July 2019 - headline: "The inhomogeneous superfluid paper is published in Nature!" +- date: 12/2023 + headline: "Yu's paper ''Knowledge Graph Prompting for Multi-Document Question Answering'' received the Best Paper Award in the New Frontiers of Graph ML workshop at NeurIPS’24!" -- date: 15. July 2019 - headline: "We imaged the doubling of shot noise due to Andreev reflections in a STM, posted on arXiv." +- date: 12/2023 + headline: "Yuying's paper ''Leveraging Opposite Gender Interaction Ratio as a Path Towards Fairness in Online Dating Recommendations Based on User Sexual Orientation'' is accepted at AAAI'24!" -- date: 24. May 2019 - headline: "The smart tip paper is finally published ! A collaboration with the Gröblacher Lab at TU Delft." +- date: 12/2023 + headline: "Yu's paper ''Knowledge Graph Prompting for Multi-Document Question Answering'' is accepted at AAAI'24!" -- date: 08. May 2019 - headline: "Irene defends her PhD!" +- date: 11/2023 + headline: "Our tutorial ''Data Quality-Aware Graph Machine Learning'' led by Yu, is accepted at SDM'24!" -- date: 08. May 2019 - headline: "Dome makes it on the University website. " +- date: 11/2023 + headline: "Tyler invited to serve as an Associate Editor of Tsinghua Science and Technology!" -- date: 13. December 2018 - headline: "Our paper about how to construct an STM is in Review of Scientific Instruments. " +- date: 11/2023 + headline: "Lance is selected as a Finalist in Vanderbilt's 3MT Competition!" -- date: 08. October 2018 - headline: "We discovered charge trapping in a high-Tc superconductor! Publication in Nature Physics. " +- date: 11/2023 + headline: "Tyler is invited to serve as Student Travel Award Chair at KDD'24!" -- date: 27. September 2018 - headline: "Our MHz amplifier for STM is published in Review of Scientific Instruments. " +- date: 11/2023 + headline: "Our Machine Learning on Graphs (MLoG) Workshop was accepted at WSDM'24 (currently on its 5th iteration)!" -- date: 16. May 2018 - headline: "Milan, Koen and Irene talk about superconductivity in Made in Leiden." +- date: 11/2023 + headline: "Our paper ''An In-depth Analysis of the Broken Ties on Twitter'' is accepted at IEEE BigData'23!" -- date: 4. May 2018 - headline: "Welcome Ram!" +- date: 11/2023 + headline: "Tyler gave an invited talk ''Data-Centric AI for Real-World Graph Applications'' at the ORNL Core Universities AI Workshop at Georgia Tech!" -- date: 5.-9. March 2018 - headline: "Irene and Milan are at the March Meeting (Talk Tue 10am, session E45)" +- date: 10/2023 + headline: "Our preprint A Topological Perspective on Demystifying GNN-Based Link Prediction Performance is now online!" -- date: 13. November 2017 - headline: " New paper published in collaboration with the group of Jan van Ruitenbeek" +- date: 11/2023 + headline: "Tyler is invited to serve as Publicity Chair for DSAA'24!" -- date: 10. November 2017 - headline: "Doohee makes the third place at the LION Image Award. " +- date: 10/2023 + headline: "Yu's intern paper Knowledge Graph Prompting for Multi-Document Question Answering was accepted to NeurIPS 2023 GLFrontiers Workshop!" -- date: 9. October 2017 - headline: "We contributed to Miguel and Jan's new paper. " +- date: 9/2023 + headline: "Our preprint A Survey of Graph Unlearning is now online!" -- date: 12. August 2017 - headline: "We got an ERC starting grant." +- date: 9/2023 + headline: "Our paper ''NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics'' is accepted at NeurIPS'23 Benchmark and Dataset Track!" -- date: 10. August 2017 - headline: "Our paper is published in SciPost Physics." +- date: 9/2023 + headline: "Yuying accepts her return offer to join Visa Research as a PhD research intern for Summer'24!" -- date: 17. - 21. July 2017 - headline: "Milan wins the Bryan R. Coles prize at SCES 2017, Prague. Koen received the best poster presentation award. " +- date: 9/2023 + headline: "Yu's internship work with Adobe has been transformed into a medium article ''Knowledge Graph Prompting: A New Approach for Multi-Document Question Answering'' + and it's now online!" -- date: 17. - 21. July 2017 - headline: "Koen, Maarten and Milan will be at SCES 2017, Prague. Come check out our posters on Tuesday&Thursday and talk on Thursday!" +- date: 9/2023 + headline: "Tyler gave an invited talk ''Enhancing Graph Neural Networks with Data Quality-Aware Learning'' at the Institute for Artificial Intelligence, Tsinghua University!" -- date: 18. June 2017 - headline: "Paper on poor electronic screening published in PRB as Editors' selection! " +- date: 9/2023 + headline: "Tyler invited to serve as an Associate Editor of IEEE Transactions on Big Data!" -- date: 15. May 2017 - headline: Welcome Doohee! +- date: 8/2023 + headline: "Welcome new MS members!
Qinwen and Xin (Allen) join NDS Lab" -- date: 13. - 17. March 2017 - headline: Koen & Irene give talks at the APS March Meeting in New Orleans. +- date: 8/2023 + headline: "Welcome new BS members!
Leyao join NDS Lab" -- date: 27. January - 3. March 2017 - headline: "We are looking forward to co-hosting the workshop on unconventional superconductivity at the Lorentz center. " +- date: 8/2023 + headline: "Our preprint A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications is now online!" -- date: 17-18. January 2017 - headline: Irene, Koen, Maarten and Milan will be at Physics@Veldhoven 2017. (Talk at PT6.1 and poster at P9.022). +- date: 8/2023 + headline: "Tyler invited to serve as Student Travel Award Chair at WSDM'24!" -- date: 25. November 2016 - headline: "We are part of a newly granted Vrije Programma on strange metals, together with the groups of Hussey, Golden, vHeumen, Zaanen, Schalm, Stoof and Vandoren, see press release. We also got a Projectruimte." +- date: 8/2023 + headline: "Bo will join the NDS Lab as a new PhD in Spring 2024!" -- date: 19. September 2016 - headline: " Our first paper from Leiden is online at Nature Physics! " +- date: 8/2023 + headline: "Anne receives the Provost's Graduate Fellowship and will join the VeriVITAL and NDS Labs as a new PhD in Fall 2023!" -- date: 12. September 2016 - headline: Koen is at Correl16, Julich. +- date: 8/2023 + headline: "Xueqi will join the NDS Lab as a transfer PhD in Fall'23 and had received Vanderbilt's IBM Fellowship Award!" -- date: 01. July 2016 - headline: Milan is at the strongly correlated electron GRC 2016. +- date: 8/2023 + headline: "Yuying's KDD'23 Blog article ''Progress and Promise for The Shifting Landscape of Gender in STEM'' is now online!" -- date: 24. June 2016 - headline: Felix Baumberger is visiting. +- date: 7/2023 + headline: "Our preprint Fairness and Diversity in Recommender Systems: A Survey is now online!" -- date: 17. June 2016 - headline: Irene is at SNS2016. +- date: 6/2023 + headline: "Tyler is awarded the NSF CAREER Award!" -- date: 28. April 2016 - headline: Our results on the Mott & pseudo gap physics posted on arXiv ! +- date: 6/2023 + headline: "Tyler gave an invited talk ''Towards Data-Centric Graph Learning for Real-World Applications'' at Max Planck Institute for Mathematics in the Sciences (MPI MiS)!" -- date: 14. May 2016 - headline: Ivan Bozovic is visiting. +- date: 6/2023 + headline: "Yuying and Catherine receive Student Travel Awards to participate at KDD'23!" -- date: 17. March 2016 - headline: Koen, Irene & Vitaly present a poster at Sun Sailing Science. +- date: 6/2023 + headline: "Catherine's paper ''The Friendship Paradox: An Analysis on Signed Social Networks with Positive and Negative Links'' was accepted to KDD'23 Undergraduate Consortium!" -- date: 17. Jan 2016 - headline: "We discover electronic order and pseudogap in a non-cuprate materal! " +- date: 6/2023 + headline: "Yuying's paper ''Fair Online Dating Recommendations for Sexually Fluid Users via Leveraging Opposite Gender Interaction Ratio'' was accepted to MLG Workshop at KDD'23!" -- date: 01. Jan 2016 - headline: Welcome Vitaly! +- date: 6/2023 + headline: "Our preprint NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics was accepted to the Workshop on Graph Learning Benchmarks at KDD'23 and is now online with new datasets, code, and documentation!" -- date: 17. June 2015 - headline: Welcome Kees! +- date: 6/2023 + headline: "Tyler gave an invited talk ''Advanced Graph Analytics for Real-World Applications'' in the Griffiss Institute's Tech Talks at Air Force Research Lab Information Directorate!" -- date: 17. June 2015 - headline: "Maarten wins the LION image award! Check out his submission." +- date: 5/2023 + headline: "Yuying is awarded Vanderbilt's C. F. Chen Best Paper Runner-Up Award in Computer Science for her paper Fairness and Explainability: Bridging the Gap Towards Fair Model Explanations!" -- date: 17. June 2015 - headline: " We win a Vidi grant: 800kEUR to invest in science! (Leiden news, FOM news item) " +- date: 4/2023 + headline: "Yu is awarded Vanderbilt's 2023 Graduate Leadership Anchor Award for Research!" -- date: 01. Sept 2015 - headline: "Welcome Koen and Maarten: from Master- to PhD-students" +- date: 4/2023 + headline: "Tyler gave an invited talk ''Creating and Leveraging Knowledge Graphs in Real-World Applications'' at ACM Web Conference during Knowledge Graph Day!" -- date: 17. June 2015 - headline: "We got our commercial STM from Unisoku, and we are already busy modifying." +- date: 3/2023 + headline: "Tyler was selected for the Visiting Faculty Research Program (VFRP) of The Air Force Research Laboratory's Information Directorate (AFRL/RI) and its Information Institute (II)!" + +- date: 3/2022 + headline: "Yuying is accepted to present her work ''Learning Beyond Utility for Social Good: Fairness, Explainability, and Diversity'' at SDM'23 Doctoral Forum and received a student travel award!" -- date: 01. Jan 2015 - headline: Welcome Irene, Gijsbert & Milan — our lab is officially starting! +- date: 3/2023 + headline: "Lance gave an invited talk at Molecular Modeling and Drug Discovery (M2D2) organized by Mila and Valance Discovery presenting his work MolKGNN!" + +- date: 3/2023 + headline: "CFP: Our workshop Machine Learning on Graphs (MLoG) is accepted to IEEE ICDM'23!" + +- date: 3/2023 + headline: "Yuying's paper ADEPT: Autoencoder with Differentially Expressed Genes and Imputation for a Robust Spatial Transcriptomics Clustering is accepted for presentation at RECOMB-Seq 2023 and publication in iScience!" + +- date: 1/2023 + headline: "Welcome new BS members!
Macharia join NDS Lab" + +- date: 1/2023 + headline: "Yu's paper Collaboration-Aware Graph Convolutional Network for Recommender Systems is accepted at TheWebConf'23!" + +- date: 1/2023 + headline: "Yuying passes her Preliminary Exam!" + +- date: 1/2023 + headline: "Yu is awarded The American Bureau of Shipping Scholarship!" + +- date: 2022 + headline: "YEAR" + +- date: 12/2022 + headline: "Yuying accepts her offer to join Visa Research as a PhD research intern for Summer'23!" + +- date: 12/2022 + headline: "Yu accepts his offer to join Adobe as a PhD research intern for Summer'23!" + +- date: 12/2022 + headline: "Yuying and Lance are awarded AAAI-23 Student Scholarships and selected as volunteers!" + +- date: 11/2022 + headline: "Tyler gave a keynote at the ICDM'22 International Workshop on Knowledge Graphs on ''Overcoming Data Quality Issues in Graph Learning''!" + +- date: 11/2022 + headline: "Lance's first paper in NDS lab Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure Relationship Modeling in Drug Discovery is accepted at AAAI'23!" + +- date: 11/2022 + headline: "Yuying's paper Fairness and Explainability: Bridging the Gap Towards Fair Model Explanations is accepted at AAAI'23!" + +- date: 11/2022 + headline: "Tyler gave invited talks on ''Overcoming Data Quality Issues in Graph Learning'' at ORNL Core Universities AI Workshop (at Virginia Tech), Shandong University, North Carolina State University!" + +- date: 10/2022 + headline: Yu's paper ''Demystify Degree-related Bias in Link Prediction'' is accepted to ICDM'22 Machine Learning on Graphs (MLoG) Workshop and received their NSF Student Travel Award!" + +- date: 9/2022 + headline: "Shivam's paper THINK: Temporal Hypergraph Hyperbolic Network is accepted at IEEE ICDM'22!" + +- date: 8/2022 + headline: "Tyler invited to serve as Publicity Chair at KDD'23!" + +- date: 8/2022 + headline: "Lance's preprint Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure Relationship Modeling in Drug Discovery is now online!" + +- date: 8/2022 + headline: "Tyler gave an invited talk ''Machine Learning on Graphs'' at Oak Ridge National Laboratory!" + +- date: 8/2022 + headline: "Yu's paper Imbalanced Graph Classification via Graph-of-Graph Neural Networks is accepted at ACM CIKM'22!" + +- date: 7/2022 + headline: "Yu's preprint Collaboration-Aware Graph Convolutional Networks for Recommendation Systems is now online!" + +- date: 6/2022 + headline: "Tyler invited to serve as Associate Editor for Elsevier Big Data Research!" + +- date: 6/2022 + headline: "Yu's paper Distance-wise Prototypical Graph Neural Network for Imbalanced Node Classification is accepted to MLG Workshop at KDD'22" + +- date: 6/2022 + headline: "Yuying's first paper in NDS Lab ''Inferring EHR Utilization Workflows through Audit Logs'' is accepted to AMIA'22!" + +- date: 5/2022 + headline: "Yu's first-author paper Fair View Graph Neural Network for Fair Node Representation Learning is accepted to KDD'22!" + +- date: 5/2022 + headline: "3 papers accepted to KDD'22!" + +- date: 5/2022 + headline: "Our research was highlighted in VU Provost C. Cybele Raver's keynote at The Vanderbilt Summit on Modern Conflict!" + +- date: 4/2022 + headline: "CFP: Our workshop Graph Techniques for Adversarial Activity Analytics (GTA3) is accepted to IEEE BigData'22!" + +- date: 5/2022 + headline: "Yu awarded Vanderbilt's C. F. Chen Best Paper Award in Computer Science for his paper Tree Decomposed Graph Neural Network!" + +- date: 4/2022 + headline: "CFP: Our workshop Machine Learning on Graphs (MLoG) is accepted to IEEE ICDM'22!" + +- date: 3/2022 + headline: "Yi receives the Dean's Graduate Fellowship Award and will join NDS Lab as a new PhD in Fall 2022!" + +- date: 1/2022 + headline: "Yuying and Yu receive Student Travel Awards to present at SDM'22!" + +- date: 3/2022 + headline: "Lance receives Nvidia Academic Hardware Grant for his project on Interpretable 3D Graph Neural Networks for Drug Discovery!" + +- date: 3/2022 + headline: "Yu accepts his offer to join The Home Depot's Data Science group as a research intern for Summer'22!" + +- date: 3/2022 + headline: "Tyler receives Outstanding PC Member Award at WSDM'22! (Credit to NDS subreviewers Yu, Yuying, Lance, Zhaoqing)" + +- date: 3/2022 + headline: "Yuying is accepted to present her work Bridging the Gap between Fairness and Explainability at SDM'22 Doctoral Forum!" + +- date: 3/2022 + headline: "Yu is accepted to present his work on Overcoming Data Quality Issues for Graph Neural Networks at SDM'22 Doctoral Forum!" + +- date: 3/2022 + headline: "Our book chapter Graph Neural Networks: Self-supervised Learning is published in the new edited Springer book Graph Neural Networks: Foundations, Frontiers, and Applications!" + +- date: 2/2022 + headline: "Our open-source library ChemicalX: A Deep Learning Library for Drug Pair Scoring is released in collaboration with AstraZeneca and Harvard Medical School (and accepted at KDD'22)!" + +- date: 1/2022 + headline: "Yu is accepted to present his work on Fair Graph Representation Learning with Imbalanced and Biased Data at WSDM'22 Doctoral Consortium!" + +- date: 1/2022 + headline: "Yu receives NSF Student Travel Award to present at WSDM'22!" + +- date: 1/2022 + headline: "Yu passes his Preliminary Exam!" + +- date: 2021 + headline: "YEAR" + +- date: 12/2021 + headline: "Lance passes his Qualifying Exam!" + +- date: 12/2021 + headline: "CFP: Machine Learning on Complex Graphs with Tyler as Topic Editor for Frontiers in Big Data" + +- date: 12/2021 + headline: "Our preprint Imbalanced Graph Classification via Graph-of-Graph Neural Networks is now online!" + +- date: 11/2021 + headline: "CFP: Our workshop Machine Learning on Graphs (MLoG) is accepted to ACM WSDM'22!" + +- date: 10/2021 + headline: "Our preprint Distance-wise Prototypical Graph Neural Network for Imbalanced Node Classification is now online!" + +- date: 9/2021 + headline: "Our survey preprint Graph Neural Networks: Self-supervised Learning is now online!" + +- date: 8/2021 + headline: "Welcome new BS members!
Ao and Emily join NDS Lab" + +- date: 7/2021 + headline: "Yu's first paper Tree Decomposed Graph Neural Network in NDS Lab is accepted to ACM CIKM'21!" + +- date: 7/2021 + headline: "3 papers accepted to ACM CIKM'21!" + +- date: 7/2021 + headline: "1 paper accepted to ACM Hypertext'21!" + +- date: 7/2021 + headline: "Kayla receives NISE Fellowship through the Frist Center!" + +- date: 6/2021 + headline: "Tyler receives Best Reviewer Award at ICWSM'21!" + +- date: 5/2021 + headline: "Kayla and Yuying receive ICWSM Scholarships to participate in ICWSM'21!" + +- date: 5/2021 + headline: "1 paper accepted to KDD'21!" + +- date: 4/2021 + headline: "Zhaoqing receives the Dean's Graduate Fellowship Award and will join NDS Lab as a new PhD in Spring 2022!" + +- date: 4/2021 + headline: "Yuying receives the IBM Fellowship Award and will join NDS Lab as a new PhD in Fall 2021!" + +- date: 4/2021 + headline: "Yu receives a Student Travel Award and Tyler receives Early Career Travel Award to attend SDM'21 supported by NSF!" + +- date: 4/2021 + headline: "Welcome new BS member!
Sam joins NDS Lab" + +- date: 4/2021 + headline: "Chet and Ben receive DSI-SRP fellowship for summer 2021!" + +- date: 3/2021 + headline: "Trevor receives VUSRP fellowship for summer 2021!" + +- date: 3/2021 + headline: "Yu accepted to present his work at SDM'21 Doctoral Forum!" + +- date: 2/2021 + headline: "Tyler receives Teaching Innovation Award from the School of Engineering at VU!" + +- date: 2/2021 + headline: "Welcome new MS member!
Kayla joins NDS Lab" + +- date: 2/2021 + headline: "Welcome new BS member!
Chet joins NDS Lab" + +- date: 2/2021 + headline: "Tutorial on GNNs given at AAAI'21!" + +- date: 1/2021 + headline: "Yu awarded free registration and volunteer position at IJCAI'20!" + +- date: 1/2021 + headline: "Welcome new PhD member!
Yu join NDS Lab" + +- date: 2020 + headline: "YEAR" + +- date: 12/2020 + headline: "1 paper accepted to AAAI'21!" + +- date: 12/2020 + headline: "Welcome new BS members!
Ben, Jack, and Trevor join NDS Lab" + +- date: 12/2020 + headline: "Welcome new MS member!
Cole joins NDS Lab" + +- date: 10/2020 + headline: "1 paper accepted to WSDM'21!" + +- date: 10/2020 + headline: "1 paper accepted to ICDE'21!" + +- date: 8/2020 + headline: "Tyler gave an invited keynote at DLG-KDD'20 / MLG'20!" + +- date: 8/2020 + headline: "Tutorial on GNNs given at KDD'20!" + +- date: 8/2020 + headline: "1 paper accepted to IEEE TALE'20!" + +- date: 8/2020 + headline: "1 paper accepted to ICDM'20!" + +- date: 8/2020 + headline: "Tyler joins VU and establishes NDS Lab!" diff --git a/_data/phd.yml b/_data/phd.yml new file mode 100644 index 00000000000..79354e8ea35 --- /dev/null +++ b/_data/phd.yml @@ -0,0 +1,91 @@ +#education can be bullets such as prev positions or links + +- name: Yu Wang + photo: YuWang.jpg + info: Computer Science PhD + email: yu.wang.1@vanderbilt.edu + number_educ: 4 + education1: Vanderbilt Russell G. Hamilton Graduate Scholars Award + education2: 2024 - VU Outstanding Doctoral Student Award + education3: 2023 - VU Graduate Leadership Anchor Award in Research + education4: 2022 - VU C.F. Chen Best Paper Award in CS + education5: + website: https://yuwvandy.github.io/ + linkedin: https://www.linkedin.com/in/wang-yu-63359a196/ + twitter: https://twitter.com/YuWVandy + github: https://github.com/YuWVandy + +- name: Yuying Zhao + photo: YuyingZhao.png + info: Computer Science PhD + email: yuying.zhao@vanderbilt.edu + number_educ: 2 + education1: Vanderbilt IBM Fellowship Award + education2: 2023 - VU C.F. Chen Best Paper Runner-up Award in CS + education3: + education4: + education5: + website: https://yuyingzhao.github.io/ + linkedin: https://www.linkedin.com/in/yy-zhao/ + twitter: 0 + github: https://github.com/YuyingZhao + +- name: Yunchao (Lance) Liu + photo: YunchaoLiu.png + info: Computer Science PhD + email: yunchao.liu@vanderbilt.edu + number_educ: 4 + education1: Co-advised with Meiler Lab @ VU + education2: 2024 - 1st Place VU's AI Showcase + education3: 2023 - Vanderbilt's 3MT Finalist + education4: 2022 - Awarded Nvidia Academic Hardware Grant + education5: + website: https://yunchaoliu.github.io/ + linkedin: https://www.linkedin.com/in/yunchaoliu/ + twitter: https://twitter.com/YunchaoLanceLiu + github: https://github.com/YunchaoLiu + +- name: Xueqi Cheng + photo: XueqiCheng.png + info: Computer Science PhD + email: xueqi.cheng@vanderbilt.edu + number_educ: 2 + education1: Vanderbilt IBM Fellowship Award + education2: Vanderbilt Engineering Graduate Fellowship Award + education3: + education4: + education5: + website: https://xueqic.github.io/ + linkedin: https://www.linkedin.com/in/xqc/ + twitter: 0 + github: https://github.com/XueqiC + +- name: Anne Tumlin + photo: Anne.jpg + info: Computer Science PhD + email: anne.m.tumlin@vanderbilt.edu + number_educ: 4 + education1: Co-advised with VeriVITAL Lab @ VU + education2: DOE Computational Science Graduate Fellowship + education3: Vanderbilt Russell G. Hamilton Graduate Scholars Award + education4: Vanderbilt Provost Graduate Fellowship + education5: + website: https://atumlin.github.io/ + linkedin: https://www.linkedin.com/in/anne-tumlin-176a551ab/ + twitter: 0 + github: https://github.com/atumlin + +- name: Bo Ni + photo: BoNi.png + info: Computer Science PhD + email: bo.ni@vanderbilt.edu + number_educ: 0 + education1: + education2: + education3: + education4: + education5: + website: https://arstanley.github.io/ + linkedin: https://www.linkedin.com/in/bo-n-a54213123/ + twitter: 0 + github: https://github.com/arstanley diff --git a/_data/pictures_Leiden.yml b/_data/pictures_Leiden.yml deleted file mode 100644 index a86e9249844..00000000000 --- a/_data/pictures_Leiden.yml +++ /dev/null @@ -1,34 +0,0 @@ -- title: pic1_description - image: DSC_0366.JPG -- title: pic1_description - image: DSC_0368.JPG -- title: pic_description - image: 20150918_145800.jpg -- title: pic1_description - image: DSC_0030.jpg -- title: pic1_description - image: DSC_0051.jpg -- title: pic1_description - image: DSC_0116.jpg -- title: pic1_description - image: DSC_0119.jpg -- title: pic1_description - image: DSC_0128.jpg -- title: pic1_description - image: DSC_0139.jpg -- title: pic1_description - image: DSC_0636.jpg -- title: pic1_description - image: DSC_0683.jpg -- title: pic1_description - image: DSC_0696.jpg -- title: pic1_description - image: DSC_0757.jpg -- title: pic1_description - image: IMG_4334.jpg -- title: pic1_description - image: IMG_4376.jpg -- title: pic1_description - image: tamagochi.jpg -- title: pic1_description - image: tmp2-2.jpg diff --git a/_data/pictures_NDS.yml b/_data/pictures_NDS.yml new file mode 100644 index 00000000000..38d277d481d --- /dev/null +++ b/_data/pictures_NDS.yml @@ -0,0 +1,26 @@ +#- title: pic1_description +# image: pic1.JPG + +- title: Spring 2024 - NDS Lab Lunch and Games + image: Lab_Event_S24_games.png + +- title: Spring 2023 - NDS Lab PhD TopGolf + image: Lab_Event_S23_golfing.png + +- title: Spring 2023 - NDS Lab PhD TopGolf + image: Lab_Event_S23_golfing1.png + +- title: Spring 2023 - NDS Lab PhD TopGolf + image: Lab_Event_S23_golfing2.png + +- title: Summer 2022 - NDS Lab PhD BBQ + image: Lab_Event_S22_lunch.png + +- title: Summer 2021 BBQ - NDS Lab and friends group photo + image: Lab_BBQ_F21_group.png + +- title: Summer 2021 BBQ - NDS Lab and friends playing disk golf + image: Lab_BBQ_F21_frisbee_disk_golf.png + +- title: Summer 2021 BBQ - NDS Lab and friends playing lawn darts + image: Lab_BBQ_F21_lawn_darts.png diff --git a/_data/publist.yml b/_data/publist.yml index 62755e55d58..c6c2e1886c9 100644 --- a/_data/publist.yml +++ b/_data/publist.yml @@ -1,331 +1,17 @@ -- title: "Direct evidence for Cooper pairing without a spectral gap in a disordered superconductor above Tc" - image: TiNHigh.png - description: We use our atomic-scale scanning tunneling noise setup on a disordered superconductor, and discover a state above TC that, much like an ordinary metal, has no (pseudo)gap, but carries charge via paired electrons. - authors: KM Bastiaans, D Chatzopoulos, J-F Ge, D Cho, WO Tromp, JM van Ruitenbeek, MH Fischer, PJ de Visser, DJ Thoen, EFC Driessen, TM Klapwijk, MP Allan - link: - url: https://arxiv.org/abs/2101.08535 - display: arXiv:2101.08535 (2021) - highlight: 1 - -- title: "Spatially dispersing Yu-Shiba-Rusinov states in the unconventional superconductor FeTe0.55Se0.45" - image: YSR.png - description: We report on a peculiar, spatially dispersing YSR state in Fe(Se,Te) that can be tuned by the tip. - authors: D Chatzopoulos, Doohee Cho, KM Bastiaans, GO Steffensen, D Bouwmeester, A Akbari, Genda Gu, J Paaske, BM Andersen, MP Allan - link: - url: https://www.nature.com/articles/s41467-020-20529-x - display: Nature Communications 12, 298 (2021) - highlight: 1 - -- title: "Multi-Atom Quasiparticle Scattering Interference for Superconductor Energy-Gap Symmetry Determination" - image: TBG_ARPES.png - description: - authors: R Sharma, A Kreisel, MA Sulangi, J Böker, A Kostin, MP Allan, H Eisaki, AE Böhmer, PC Canfield, I Eremin, JC Davis, PJ Hirschfeld, PO Sprau - link: - url: https://dx.doi.org/10.1038/s41535-020-00303-4 - display: npj Quantum Mater. 6, 7 (2021) - highlight: 0 - news2: - -- title: "Mapping local heterogeneity in open twisted bilayer graphene devices" - image: TBG_SL.png - description: Why is there so much variation in TBG devices? And are open devices more disordered than encapsulated ones? We introduce a new method to continuously map inhomogeneities of a moiré lattice and apply it to open-device TBG to show that twist angle variation is small over areas of hundreds of nm. - authors: T Benschop*, TA de Jong*, P Stepanov*, Xiaobo Lu, V Stalman, SJ van der Molen, DK Efetov, MP Allan - link: - url: https://arxiv.org/abs/2008.13766 - display: arXiv:2008.13766 (2020) - highlight: 1 - news2: - -- title: "Direct comparison of ARPES, STM, and quantum oscillation data for band structure determination in Sr2RhO4" - image: Direct.png - authors: I Battisti, WO Tromp, S Riccò, RS Perry, AP Mackenzie, A Tamai, F Baumberger, MP Allan - description: We directly test the consistency of results from these three techniques by comparing data from the correlated metal Sr2RhO4. Using ARPES, STM, and quantum oscillations, we find good agreement for the Fermi surface topography and carrier effective masses. Hence, the apparent absence of such an agreement in other quantum materials, including the cuprates, suggests that the electronic states in these materials are of different, non-Fermi liquid-like nature. Collaboration with the groups of Baumberger, Perry, and Mackenzie. - link: - url: https://www.nature.com/articles/s41535-020-00292-4 - display: npj Quantum Materials 5, 91 (2020) - highlight: 1 - news2: - -- title: "Fabrication of on-chip probes for double-tip scanning tunneling microscopy" - image: TBG_ARPES.png - authors: M Leeuwenhoek, F Groenewoud, K van Oosten, T Benschop, MP Allan, S Gröblacher - description: - link: - url: https://www.nature.com/articles/s41378-020-00209-y - display: Microsyst Nanoeng 6, 99 (2020) - highlight: 0 - news2: - -- title: "Modeling Green's functions measurements with two-tip scanning tunneling microscopy" - image: TBG_ARPES.png - description: A first paper from the TBG collaboration is online, with beautiful data from the Baumberger group in Geneva, and great devices from the Efetov group at ICFO. We measured STM on the device. - authors: M Leeuwenhoek, S Gröblacher, MP Allan, YaM Blanter - link: - url: https://journals.aps.org/prb/abstract/10.1103/PhysRevB.102.115416 - display: PRB 102, 115416 (2020) - highlight: 0 - news2: - -- title: "Observation of flat bands in twisted bilayer graphene" - image: TBG_ARPES.png - description: A first paper from the TBG collaboration is online, with beautiful data from the Baumberger group in Geneva, and great devices from the Efetov group at ICFO. We measured STM on the device. - authors: S Lisi*, X Lu*, T Benschop*, TA de Jong*, Petr S, JR Duran, F Margot, I Cucchi, E Cappelli, A Hunter, A Tamai, V Kandyba, A Giampietri, A Barinov, J Jobst, V Stalman, M Leeuwenhoek, K Watanabe, T Taniguchi, L Rademaker, SJ van der Molen, MP Allan, DK Efetov, F Baumberger - link: - url: https://www.nature.com/articles/s41567-020-01041-x - display: Nature Physics (2020) - highlight: 1 - news2: News coverage by NRC - -- title: "A strongly inhomogeneous superfluid in an iron-based superconductor" - image: STS_news.png - description: We succeeded in measuring the superfluid density with atomic resolution on an unconventional superconductor! In contrast to expectations for conventional superconductors, we find that the superfluid densisty is strongly inhomogeneous in FeTe0.55Se0.45. - authors: D Cho* & KM Bastiaans* & D Chatzopoulos*, GD Gu, MP Allan - link: - url: https://www.nature.com/articles/s41586-019-1408-8 - display: Nature 571, 541 (2019) - highlight: 1 - news2: - -- title: "Nanofabricated tips as a platform for double-tip and device based scanning tunneling microscopy" - image: SmartPub.png - description: We introduce a platform for bringing new, device-based functionality to STM, with the goal of utilizing decades of progress in device engineering for the field of scanning probe. - authors: M Leeuwenhoek, RA Norte, KM Bastiaans, Doohee Cho, I Battisti, YaM Blanter, S Gröblacher, MP Allan - link: - url: https://iopscience.iop.org/article/10.1088/1361-6528/ab1c7f/pdf - display: Nanotechnology 30, 335702 (2019) - highlight: 1 - news2: See also our papers on the theoretical modeling of such measurements, and the paper about fabrication. - -- title: "Imaging doubled shot noise in a Josephson scanning tunneling microscope" - image: PbSpub.png - description: We have imaged the doubling of the current noise due to Andreev reflections in a Josephson scanning tunneling microscope. - authors: KM Bastiaans, D Cho, D Chatzopoulos, M Leeuwenhoek, C Koks, MP Allan - link: - url: https://journals.aps.org/prb/abstract/10.1103/PhysRevB.100.104506 - display: Phys. Rev. B 100, 104506 (2019) - highlight: 1 - news2: - -- title: "Definition of design guidelines, construction and performance of an ultra-stable scanning tunneling microscope for spectroscopic imaging" - image: DomePub.png - description: Our first completely home-built STM is alive! And it has the world’s highest resonance frequency. - authors: I Battisti, G Verdoes, K van Oosten, KM Bastiaans, and MP Allan - link: - url: https://aip.scitation.org/doi/10.1063/1.5064442 - display: Rev. Sci. Instrum. 89, 123705 (2018) - highlight: 1 - news2: - -- title: "Charge trapping and super-Poissonian noise centres in a cuprate superconductor" - image: Pub_BCl.png - description: Using our newly developed noise-spectroscopy technique we discover charge trapping in a cuprate high-temperature superconductor. - authors: KM Bastiaans* & D Cho*, T Benschop, I Battisti, Y Huang, MS Golden, Q Dong, Y Jin, J Zaanen, MP Allan - link: - url: https://www.nature.com/articles/s41567-018-0300-z - display: Nature Physics 14, 1183 (2018) - highlight: 1 - news1: Instrument details in Rev. Sci. Instrum. 89, 093709 (2018) - news2: See also quantum universe (in dutch), Phys.org , Leiden University news, UvA news. - -- title: "Amplifier for scanning tunneling microscopy at MHz frequencies" - image: Fano.png - description: We develop, build and test a novel amplifier circuit capable of measuring the tunneling current in the MHz regime while simultaneously performing conventional STM measurements. We are looking forward to performing scanning noise spectroscopy on quantum materials! - authors: KM Bastiaans, T Benschop, D Chatzopoulos, D Cho, Q Dong, Y Jin, MP Allan - link: - url: https://aip.scitation.org/doi/10.1063/1.5043267 - display: Rev. Sci. Instrum. 89, 093709 (2018) - highlight: 0 - news2: - -- title: "Revisiting quasiparticle scattering interference in high-temperature superconductors: the problem of narrow peaks" - image: dummy.png - description: "" - authors: MA Sulangi, MP Allan, J Zaanen - link: - url: https://journals.aps.org/prb/abstract/10.1103/PhysRevB.96.134507 - display: PRB 96, 134507 (2017) - highlight: 0 - news2: Coverd in Superconductor Week, November 30, 2017 Vol. 31, No. 10 - -- title: Robust procedure for creating and characterizing the atomic structure of scanning tunneling microscope tips - image: dummy.png - description: "" - authors: S Tewari, KM Bastiaans, MP Allan, JM van Ruitenbeek - link: - url: http://www.beilstein-journals.org/bjnano/content/pdf/2190-4286-8-238.pdf - display: Beilstein J. Nanotechnol. 8, 2389 (2017) - highlight: 0 - news2: - -- title: Creating better superconductors by periodic nanopatterning - image: SCAUweb.jpg - description: - We propose an approach to transform a ‘pristine’ material into a better (meta-) superconductor by making use of modern fabrication techniques -- designing and engineering the electronic properties of thin films via periodic patterning on the nanoscale. - authors: - MP Allan, MH Fischer, O Ostojic, A Andringa - link: - url: https://scipost.org/SciPostPhys.3.2.010/pdf - display: SciPost Phys. 3, 010 (2017) - highlight: 1 - -- title: Poor electronic screening in lightly doped Mott insulators observed with scanning tunneling microscopy - image: TIBB.png - description: - We develop a simple model to interpret STM results on lightly doped Mott insulators, and find that the effective Mott gap measured by STM correspons to the one measured with other techniques when taking into account the poor electronic screeing. - authors: - I Battisti, V Fedoseev, KM Bastiaans, A de la Torre, RS Perry, F Baumberger, MP Allan - link: - url: https://journals.aps.org/prb/abstract/10.1103/PhysRevB.95.235141 - display: Phys. Rev. B 95, 235141, Editors' suggestion (2017) - highlight: 0 - -- title: Universality of pseudo gap and emergent order in lightly doped Mott insulators - image: Mott_phase_sep.jpg - description: - We discover of electronic order, pseudo gap phase separation and an impurity-band Mott transition in an iridate compound, cuprate-style. Along the way, we gained unique knowledge on how a Mott state collapses. - authors: - I. Battisti* & K.M. Bastiaans*, V. Fedoseev, A. de la Torre, N. Iliopoulos, A. Tamai, E.C. Hunter, R.S. Perry, J. Zaanen, F. Baumberger, M.P. Allan - link: - url: http://www.nature.com/nphys/journal/vaop/ncurrent/full/nphys3894.html - display: Nature Physics 13, 21 (2017) - highlight: 1 - news2: See also Leiden University news by Erik Arends, Phys.org - -- title: Identifying the fingerprint of antiferromagnetic spin fluctuations in iron pnictide superconductors - image: Pub_FP.png - description: - Both the density of states and the QPI dispersion of LiFeAs shows signatures of electron-boson coupling. Comparing these with fingerprints of different boson couplings to conclude that these signatures stem from AF spin fluctuations. - authors: - MP Allan* & Kyungmin Lee* & AW Rost*, MH Fischer, F Massee, K Kihou, C-H Lee, A Iyo, H Eisaki, T-M Chuang, AP Mackenzie, JC Davis, DJ Scalapino, E-A Kim - link: - url: http://www.nature.com/nphys/journal/v11/n2/full/nphys3187.html - display: Nature Physics 11, 177 (2015) - highlight: 1 - news1: - news2: See also Cornell Chronicle by Anne Ju, Phys.org - -- title: Direct evidence for a magnetic f-electron mediated Cooper pairing mechanism of heavy fermion superconductivity in CeCoIn5 - image: dummy.png - description: "" - authors: - J Van Dyke, F Massee, MP Allan, JC Davis, C Petrovic, and DK Morr - link: - url: http://www.pnas.org/content/111/32/11663 - display: PNAS 111, 11663 (2014) - highlight: 0 - news1: News item in Science - news2: - -- title: Imaging Cooper pairing of heavy fermions in CeCoIn5 - image: Pub_CeCoIn5.png - description: - The heavy Fermion superconductor CeCoIn5 has a d-wave gap with nodes along the (1,1) direction, as we find using QPI. - authors: - MP Allan* & F Massee*, DK Morr, J van Dyke, AW Rost, AP Mackenzie, C Petrovic, JC Davis - link: - url: http://www.nature.com/nphys/journal/vaop/ncurrent/abs/nphys2671.html - display: Nature Physics 9, 468 (2013) - highlight: 1 - news1: Featured in 'News and Views' by L Taillefer - news2: See also Phys.org, DoE headliner - -- title: Formation of heavy d-electron quasiparticles in Sr3Ru2O7 - image: Pub_327.png - description: - Using APRES, we find that the bands in Sr3Ru2O7 look more like in heavy fermion material than in a normal metal. We present a detailed investigation into the formation of this particular electronic structure. - authors: - MP Allan, A Tamai, E Rozbicki, MH Fischer, J Voss, PDC King, W Meevasana, S Thirupathaiah, E Rienks, J Fink, A Tennant, RS Perry, JF Mercure, MA Wang, J Lee, CJ Fennie, E-A Kim, MJ Lawler, KM Shen, AP Mackenzie, Z-X Shen, F Baumberger - link: - url: http://iopscience.iop.org/1367-2630/15/6/063029 - display: New Journal of Physics 15, 063029 (2013) - highlight: 1 - news: Video abstract available - -- title: Anisotropic impurity states, quasiparticle scattering and nematic transport in underdoped Ca(Fe1−xCox)2As2 - image: Pub_nemat2b.png - description: - We elucidate on the formation of the electronic nematic state in Co-CaFe2As2, finding that the Cobalt dopant atoms play a key role. - authors: - MP Allan, T-M Chuang, F Massee, Y Xie, N Ni, SL Bud’ko, GS Boebinger, Q Wang, DS Dessau, PC Canfield, MS Golden, JC Davis - highlight: 1 - link: - url: http://www.nature.com/nphys/journal/v9/n4/full/nphys2544.html - display: Nature Physics 9, 220 (2013) - news2: See also Tech Connect by Jennifer Rocha, Phys.org by Bill Steele - -- title: Anisotropic energy gaps of iron-based superconductivity from intraband quasiparticle interference in LiFeAs - image: Pub_LiFeAs.png - description: - In contrast to earlier photoemission reports, we show that the gaps in iron based superconductors are not isotropic but modulated with angle. - authors: - MP Allan⋆ & AW Rost⋆, AP Mackenzie, Y Xie, JC Davis, K Kihou, CH Lee, A Iyo, H Eisaki, T-M Chuang - link: - url: http://www.sciencemag.org/content/336/6081/563 - display: Science 336, 563 (2012) - highlight: 1 - news2: See also Cornell Cornincle by Bill Steele, Eureka Alert - -- title: How Kondo-holes create intense nanoscale heavy-fermion hybridization disorder - image: dummy.png - description: "" - authors: MH Hamidian, AR Schmidt, IA Firmo, MP Allan, P Bradley, JD Garrett, TJ Williams, GM Luke, Y Dubi, AV Balatsky, JC Davis - link: - url: http://www.pnas.org/content/108/45/18233 - display: PNAS 108, 18233 (2011) - highlight: 0 - news2: - -- title: Nematic electronic structure in the “parent” state of the iron-based superconductor Ca(Fe1−xCox)2As2 - image: Pub_nemat1.png - description: - We discovered an electronic nematic in the iron based superconductor Co-CaFe2As2! This state is by now confirmed and quite well characterized by transport, photoemission, and more SI-STM experiments. - authors: - T-M Chuang* & MP Allan*, J Lee, Y Xie, N Ni, SL Bud’ko, GS Boebinger PC Canfield, JC Davis - link: - url: http://www.sciencemag.org/content/327/5962/181 - display: Science 327, 181 (2010) - highlight: 1 - news1: Featured in a ‘Perspective’ by E Fradkin & SA Kivelson - news2: See also Article on NewScientist by Colin Barras - -- title: Heavy d-electron quasiparticle interference and real-space electronic structure of Sr3Ru2O7 - image: Pub_hBN.png - description: - QPI in Sr327. - authors: Jinho Lee* & M. P. Allan*, M. A.Wang, J. Farrell, S. A. Grigera, F. Baumberger, J. C. Davis and A. P. Mackenzie - link: - url: https://www.nature.com/nphys/journal/v5/n11/full/nphys1397.html - display: Nature Physics 5, 800 (2009) - highlight: 0 - -- title: Fermi surface and van Hove singularities in the itinerant metamagnet Sr3Ru2O7 - image: Pub_hBN.png - description: - We determine the Fermi surface of Sr327. - authors: - A Tamai, MP Allan, JF Mercure, W Meevasana, R Dunkel, DH Lu, RS Perry, AP Mackenzie, David J Singh, Z-X Shen, F Baumberger - link: - url: http://journals.aps.org/prl/abstract/10.1103/PhysRevLett.101.026407 - display: Phys. Rev. Lett. 101, 026407 (2008) - highlight: 0 - -- title: Tunable self-assembly of one-dimensional nanostructures with orthogonal directions - image: Pub_hBN.png - description: - Hexagonal boron nitride shows fancy superstructures on the Mo(111) surface. - authors: - MP Allan, S Berner, M Corso, T Greber, J Osterwalder - link: - url: http://www.nanoscalereslett.com/content/2/2/94 - display: Nanoscale Research Letters 2, 94 (2007) - highlight: 1 - -- title: Photoelectron Diffraction for a Look inside Nanostructures - image: dummy.png - description: "" - authors: - J Osterwalder, A Tamai, W Auwärter; MP Allan, T Greber - link: - url: hhttp://www.ingentaconnect.com/content/scs/chimia/2006/00000060/00000011/art00013 - display: CHIMIA 11, 759 (2006) - highlight: 0 +#- title: "Title and image for highlight 1/0" +# image: TiNHigh.png +# description: Description for highlight +# authors: authors +# link: +# url: url +# display: url text eg conf (year) +# highlight: 1 + +#- title: "Title and image for highlight 1/0" +# image: TiNHigh.png +# description: Description for highlight +# authors: authors +# link: +# url: url +# display: url text eg conf (year) +# highlight: 0 diff --git a/_data/students.yml b/_data/students.yml deleted file mode 100644 index 9631739f6c9..00000000000 --- a/_data/students.yml +++ /dev/null @@ -1,44 +0,0 @@ -#- name: -# photo: rock.jpg -# info: -# email: -# number_educ: -# education1: -# education2: -# education3: -# education4: - -- name: Rebecca Gharibaan - photo: rock.jpg - info: Master student - email: R.Gharibaan@student.tudelft.nl - number_educ: 0 - education1: - -- name: Rémi Claessen - photo: rock.jpg - info: Master student - email: remi.c60000@gmail.com - number_educ: 0 - education1: - -- name: Maialen Larrazabal Ortego - photo: rock.jpg - info: Master student - email: m.ortego.larrazabal@umail.leidenuniv.nl - number_educ: 0 - education1: - -- name: Sergio Barquero Pierantoni - photo: rock.jpg - info: Master student - email: s.barquero.pierantoni@umail.leidenuniv.nl - number_educ: 0 - education1: - -- name: Evert Stolte - photo: rock.jpg - info: Master student - email: evert_3aug@hotmail.com - number_educ: 0 - education1: diff --git a/_data/team_members.yml b/_data/team_members.yml deleted file mode 100644 index bbbdb94196f..00000000000 --- a/_data/team_members.yml +++ /dev/null @@ -1,92 +0,0 @@ -- name: Milan P Allan - photo: Milan.jpg - info: Associate professor, started Jan 2015 - email: milan.allan@gmail.com - number_educ: 5 - education1: Master ETHZ, Diplomarbeit with J Osterwalder, University of Zurich - education2: PhD St Andrews (while at Cornell University) with Felix Baumberger and JC Davis - education3: Postdoc Cornell - education4: ETH fellow at ETHZ with Andreas Wallraff - education5: Bryan R. Coles Prize 2017 - -- name: Jianfeng (Jacky) Ge - photo: Jacky.jpg - info: Postdoc, started Oct 2019 - email: ge@Physics.LeidenUniv.nl - number_educ: 3 - education1: Postdoc with Jenny Hoffman, Harvard University - education2: Ph.D. with Jinfeng Jia, Shanghai Jiao Tong University - education3: B.S. East China University of Science and Technology - -- name: Koen M Bastiaans - photo: Koen.jpg - info: Postdoc, started Sep 2015 - email: Bastiaans@Physics.LeidenUniv.nl - number_educ: 2 - education1: PhD with Milan Allan, Leiden University - education2: Master Leiden University with Milan Allan - -- name: Jiasen Niu - photo: Jiasen.png - info: Postdoc, started Oct 2020 - email: niu@physics.leidenuniv.nl - number_educ: 2 - education1: Ph.D. with Xi Lin and Jian Wei, Peking University - education2: BSc Jilin University - -- name: Damianos Chatzopoulos - photo: Damianos.jpg - info: PhD Student, started December 2017 - email: chatzopoulos@Physics.LeidenUniv.nl - number_educ: 2 - education1: Bachelor National and Kapodistrian University of Athens with D Syvridis - education2: Master TU Delft with Herre van der Zant - education3: - -- name: Willem Tromp - photo: website_pic_willem.jpg - info: PhD Student, started September 2018 - email: WTromp@physics.leidenuniv.nl - number_educ: 1 - education1: Master Leiden University with Felix Baumberger, Milan Allan - education2: - education3: - education4: - -- name: Tjerk Benschop - photo: tjeruk.jpg - info: PhD Student, started November 2018 - email: benschop@physics.leidenuniv.nl - number_educ: 2 - education1: Master Leiden University with Milan Allan - education2: Casimir PhD grant - education3: - education4: - -- name: Kees van Oosten - photo: DSC_1032.JPG - info: FFine mechanical engineer (also associated with the FMD) - email: Oosten@fmd.physics.leidenuniv.nl - number_educ: 2 - education1: Leidse instrumentmakers School - education2: Associate degree Mechanical Engineering, Hogeschool Arnhem Nijmegen - -- name: Hugo van Bohemen - photo: hugo.jpg - info: Fine mechanical engineer (also associated with the FMD) - email: h.s.m.van.bohemen@physics.leidenuniv.nl - number_educ: 1 - education1: Leidse Instrumentmakers School - education2: - education3: - education4: - -- name: "This could be you !" - photo: rock.jpg - info: See openings for more info - email: milan.allan@gmail.com - number_educ: 0 - education1: - education2: - education3: - education4: diff --git a/_includes/analytics.html b/_includes/analytics.html index 833e7a8d40e..cfe11999d3a 100644 --- a/_includes/analytics.html +++ b/_includes/analytics.html @@ -4,7 +4,7 @@ m=s.getElementsByTagName(o)[0];a.async=1;a.src=g;m.parentNode.insertBefore(a,m) })(window,document,'script','https://www.google-analytics.com/analytics.js','ga'); - ga('create', 'UA-82472331-1', 'auto'); + ga('create', 'UA-XXXXX-Y', 'auto'); ga('send', 'pageview'); - \ No newline at end of file + diff --git a/_includes/footer.html b/_includes/footer.html index 83c32077761..6ab1eceb315 100644 --- a/_includes/footer.html +++ b/_includes/footer.html @@ -4,27 +4,25 @@
-

© 2016 Allan Lab. Site made with Jekyll; copy and modify it for your own research group.

-

We are part of the Leiden Institute of Physics at Leiden University.

- +

© 2020 NDS Lab. Website layout adapted from The Allan Lab's template.

-
- Funding:
- - Vidi and Projectruimte grants from NWO
- - Frontier of Nanosciences, a gravity program from NWO - - ERC starting grant -
-
+
Contact:
- Oort building, Leiden University
- Niels Bohrweg 2
- 2333 CA Leiden
- Netherlands
- (Maps, Directions) + Feathingill-Jacobs Hall, Vanderbilt University
+ 400 24th Ave S
+ Nashville, TN 37212
+ (See us on Google Maps) +
+
+
+
+ + +
diff --git a/_includes/head.html b/_includes/head.html index 8377eab8f32..a7b0ba976c9 100644 --- a/_includes/head.html +++ b/_includes/head.html @@ -6,7 +6,8 @@ - + + {% if jekyll.environment == 'production' %} {% include analytics.html %} diff --git a/_includes/header.html b/_includes/header.html index 83cb6589011..f97bd725ed6 100644 --- a/_includes/header.html +++ b/_includes/header.html @@ -1,24 +1,25 @@ - +{% endif %} +
+
+ + + + + + +## Interns +{% assign number_printed = 0 %} +{% for member in site.data.interns %} + +{% assign even_odd = number_printed | modulo: 2 %} + +{% if even_odd == 0 %} +
+{% endif %} + +
+ +

{{ member.name }}

+ {{ member.info }} +
    + + {% if member.number_educ == 0 %} + {% endif %} + + {% if member.number_educ == 1 %} +
  • {{ member.education1 }}
    • + {% endif %} + + {% if member.number_educ == 2 %} +
  • {{ member.education1 }}
    • +
  • {{ member.education2 }}
    • + {% endif %} + + {% if member.number_educ == 3 %} +
  • {{ member.education1 }}
    • +
  • {{ member.education2 }}
    • +
  • {{ member.education3 }}
    • + {% endif %} + + {% if member.number_educ == 4 %} +
  • {{ member.education1 }}
    • +
  • {{ member.education2 }}
    • +
  • {{ member.education3 }}
    • +
  • {{ member.education4 }}
    • + {% endif %} + + {% if member.number_educ == 5 %} +
  • {{ member.education1 }}
    • +
  • {{ member.education2 }}
    • +
  • {{ member.education3 }}
    • +
  • {{ member.education4 }}
    • +
  • {{ member.education5 }}
    • + {% endif %} + +
+ + + + + +
+ +{% assign number_printed = number_printed | plus: 1 %} + +{% if even_odd == 1 %} +
+{% endif %} + +{% endfor %} + +{% assign even_odd = number_printed | modulo: 2 %} +{% if even_odd == 1 %} + +{% endif %} +
+
+ + + + + + + + + + +## High School +{% assign number_printed = 0 %} +{% for member in site.data.hs %} + +{% assign even_odd = number_printed | modulo: 2 %} + +{% if even_odd == 0 %} +
+{% endif %} + +
+ +

{{ member.name }}

+ {{ member.info }} +
    + + {% if member.number_educ == 0 %} + {% endif %} + + {% if member.number_educ == 1 %} +
  • {{ member.education1 }}
    • + {% endif %} + + {% if member.number_educ == 2 %} +
  • {{ member.education1 }}
    • +
  • {{ member.education2 }}
    • + {% endif %} + + {% if member.number_educ == 3 %} +
  • {{ member.education1 }}
    • +
  • {{ member.education2 }}
    • +
  • {{ member.education3 }}
    • + {% endif %} + + {% if member.number_educ == 4 %} +
  • {{ member.education1 }}
    • +
  • {{ member.education2 }}
    • +
  • {{ member.education3 }}
    • +
  • {{ member.education4 }}
    • + {% endif %} + + {% if member.number_educ == 5 %} +
  • {{ member.education1 }}
    • +
  • {{ member.education2 }}
    • +
  • {{ member.education3 }}
    • +
  • {{ member.education4 }}
    • +
  • {{ member.education5 }}
    • + {% endif %} + +
+ + + + + +
+ +{% assign number_printed = number_printed | plus: 1 %} + +{% if even_odd == 1 %} +
+{% endif %} + +{% endfor %} + +{% assign even_odd = number_printed | modulo: 2 %} +{% if even_odd == 1 %} + +{% endif %} +
+
+ + + + + + + + +## Former Members +{% assign number_printed = 0 %} +{% for member in site.data.former %} + +{% assign even_odd = number_printed | modulo: 2 %} + +{% if even_odd == 0 %} +
+{% endif %} + +
+ +

{{ member.name }}

+ {{ member.info }} +
    + + {% if member.number_educ == 0 %} + {% endif %} + + {% if member.number_educ == 1 %} +
  • {{ member.education1 }}
    • + {% endif %} + + {% if member.number_educ == 2 %} +
  • {{ member.education1 }}
    • +
  • {{ member.education2 }}
    • + {% endif %} + + {% if member.number_educ == 3 %} +
  • {{ member.education1 }}
    • +
  • {{ member.education2 }}
    • +
  • {{ member.education3 }}
    • + {% endif %} + + {% if member.number_educ == 4 %} +
  • {{ member.education1 }}
    • +
  • {{ member.education2 }}
    • +
  • {{ member.education3 }}
    • +
  • {{ member.education4 }}
    • + {% endif %} + + {% if member.number_educ == 5 %} +
  • {{ member.education1 }}
    • +
  • {{ member.education2 }}
    • +
  • {{ member.education3 }}
    • +
  • {{ member.education4 }}
    • +
  • {{ member.education5 }}
    • + {% endif %} + +
+ + + + + +
+ +{% assign number_printed = number_printed | plus: 1 %} + +{% if even_odd == 1 %} +
+{% endif %} + +{% endfor %} + +{% assign even_odd = number_printed | modulo: 2 %} +{% if even_odd == 1 %} + +{% endif %} + + + + + + + + + + + + + + + diff --git a/_pages/pictures.md b/_pages/pictures.md deleted file mode 100644 index 5956a68e384..00000000000 --- a/_pages/pictures.md +++ /dev/null @@ -1,78 +0,0 @@ ---- -title: "Allan Lab - Pictures" -layout: piclay -excerpt: "Allan Lab -- Pictures" -permalink: /pictures/ ---- - -# Pictures -Jump to: [Leiden](#leiden), [ETHZ](#ethz), [Cornell](#cornell), [St Andrews](#st-andrews) - - -## Leiden - -#### Timelapse of our STM assembling [(see LION news item)](https://www.physics.leidenuniv.nl/index.php?id=11573&news=867&type=lion&ln=EN): - - -#### Gallery -(Right-click *'view image'* to see a larger image.) -{% assign number_printed = 0 %} -{% for pic in site.data.pictures_Leiden %} - -{% assign even_odd = number_printed | modulo: 4 %} - -{% if even_odd == 0 %} -
-{% endif %} - -
- -
- -{% assign number_printed = number_printed | plus: 1 %} - -{% if even_odd > 2 %} -
-{% endif %} - - -{% endfor %} - -{% assign even_odd = number_printed | modulo: 4 %} -{% if even_odd == 1 %} - -{% endif %} - -{% if even_odd == 2 %} - -{% endif %} - -{% if even_odd == 3 %} - -{% endif %} - -

 

- -First advertisement. -
- -
- - -## ETHZ -From the [group of Andreas Wallraff](http://www.qudev.ethz.ch/). -
- -
- -## Cornell -From the [group of Seamus JC Davis](http://davisgroup.lassp.cornell.edu). -
- -
- -## St Andrews -From the [group of Felix Baumberger](http://dqmp.unige.ch/baumberger/) (now at University of Geneva). -
- -
diff --git a/_pages/publications.md b/_pages/publications.md index 1f19994b9b3..3bf6a1169e5 100644 --- a/_pages/publications.md +++ b/_pages/publications.md @@ -1,7 +1,7 @@ --- -title: "Allan Lab - Publications" +title: "NDS Lab - Publications" layout: gridlay -excerpt: "Allan Lab -- Publications." +excerpt: "NDS Lab -- Publications." sitemap: false permalink: /publications/ --- @@ -9,20 +9,16 @@ permalink: /publications/ # Publications -## Group highlights - -(For a full list see [below](#full-list) or go to [Google Scholar](https://scholar.google.ch/citations?user=TqxYWZsAAAAJ), [ResearcherID](https://www.researcherid.com/rid/D-7763-2012)) - + +You may also see our work on [Google Scholar](https://scholar.google.com/citations?user=et6IhFcAAAAJ). ## Full List +### Recent Preprints and Submissions + +[Robust Graph Neural Networks via Unbiased Aggregation](https://arxiv.org/pdf/2311.14934.pdf)\ +Ruiqi Feng, Zhichao Hou, Tyler Derr, Xiaorui Liu. \ +arXiv preprint arXiv:2311.14934 (2023). + +[A Topological Perspective on Demystifying GNN-Based Link Prediction Performance](https://arxiv.org/pdf/2310.04612.pdf)\ +Yu Wang, Tong Zhao, Yuying Zhao, Yunchao Liu, Xueqi Cheng, Neil Shah, Tyler Derr. \ +arXiv preprint arXiv:2310.04612 (2023). + +[A Survey of Graph Unlearning](https://arxiv.org/abs/2310.02164)\ +Anwar Said, Tyler Derr, Mudassir Shabbir, Waseem Abbas, and Xenofon Koutsoukos. \ +arXiv preprint arXiv:2310.02164 (2023). + +[A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications](https://arxiv.org/abs/2308.16375)\ +Yi Zhang, Yuying Zhao, Zhaoqing Li, Xueqi Cheng, Yu Wang, Olivera Kotevska, Philip S. Yu, and Tyler Derr. \ +arXiv preprint arXiv:2308.16375 (2023). + +[Fairness and Diversity in Recommender Systems: A Survey](https://arxiv.org/abs/2307.04644)\ +Yuying Zhao, Yu Wang, Yunchao Liu, Xueqi Cheng, Charu Aggarwal, and Tyler Derr. \ +arXiv preprint arXiv:2307.04644 (2023). + +[Integrating Expert Knowledge with Deep Learning Improves QSAR Models for CADD Modeling](https://www.biorxiv.org/content/10.1101/2023.04.17.537185v1.abstract)\ +Yunchao "Lance" Liu, Rocco Moretti, Yu Wang, Bobby Bodenheimer, Tyler Derr, Jens Meiler. \ +bioRxiv preprint (2023). + +[Distance-wise Prototypical Graph Neural Network for Imbalanced Node Classification](https://yuwvandy.github.io/paper/dpgnn.pdf)\ +Yu Wang, Charu Aggarwal, and Tyler Derr\ +arXiv preprint arXiv:2110.12035 (2021). + +### Publications in 2024 + +[Knowledge Graph Prompting for Multi-Document Question Answering](https://arxiv.org/abs/2308.11730)\ +Yu Wang, Nedim Lipka, Ryan A. Rossi, Alexa Siu, Ruiyi Zhang, Tyler Derr. \ +In Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI), Vancouver, CA, February 20-27, 2024. + +[Fairness-Aware Graph Neural Networks: A Survey](https://arxiv.org/abs/2307.03929)\ +April Chen, Ryan A. Rossi, Namyong Park, Puja Trivedi, Yu Wang, Tong Yu, Sungchul Kim, Franck Dernoncourt, Nesreen K. Ahmed. \ +In Proceedings of the 40th IEEE Transactions on Knowledge and Data Engineering (TKDE), Utrecht, Netherlands, May 13 - 17, 2024. + +### Publications in 2023 + +[Fair Online Dating Recommendations for Sexually Fluid Users via Leveraging Opposite Gender Interaction Ratio](https://www.mlgworkshop.org/2023/papers/MLG__KDD_2023_paper_22.pdf)\ +Yuying Zhao, Yu Wang, Yi Zhang, Pamela Wisniewski, Charu Aggarwal, Tyler Derr.\ +non-archival version accepted at Mining and Learning on Graphs (MLG) Workshop at KDD 2023. + +An In-depth Analysis of the Broken Ties on Twitter\ +Kiana Kheiri, Muhammad Fawad Akbar Khan, Tyler Derr, and Hamid Karimi.\ +In Proceedings of the IEEE International Conference on Big Data (Big Data), Sorrento, Italy, December 15-18, 2023. + +[NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics](https://arxiv.org/abs/2306.06202)\ +Anwar Said, Roza G. Bayrak, Tyler Derr, Mudassir Shabbir, Daniel Moyer, Catie Chang, Xenofon Koutsoukos.\ +Advances in Neural Information Processing (NeurIPS), New Orleans, LA, USA, December 10 - 16, 2023. + +[Enhanced Graph Neural Networks with Ego-Centric Spectral Subgraph Embeddings Augmentation](https://arxiv.org/abs/2310.12169)\ +Anwar Said, Mudassir Shabbir, Tyler Derr, Waseem Abbas, and Xenofon Koutsoukos. +In Proceedings of the 22nd IEEE International Conference on Machine Learning and Applications (ICMLA), Jacksonville, FL, USA, December 15-17, 2023. + +Adversarial Attacks for Black-box Recommender Systems via Copying Transferable Cross-domain User Profiles\ +Wenqi Fan, Xiangyu Zhao, Qing Li, Tyler Derr, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang.\ +IEEE Transactions on Knowledge and Data Engineering, 2023. + +ADEPT: Autoencoder with Differentially Expressed Genes and Imputation for a Robust Spatial Transcriptomics Clustering\ +Yunfei Hu\*, Yuying Zhao\*, Curtis T. Schunk, Yingxiang Ma, Tyler Derr, and Xin Maizie Zhou.\ +iScience, 2023. (also accepted and presented at RECOMB-Seq, Istanbul, Turkey, April 14-15, 2023) + +[Collaboration-Aware Graph Convolutional Network for Recommender Systems](https://arxiv.org/abs/2207.06221)\ +Yu Wang, Yuying Zhao, Yi Zhang, Tyler Derr.\ +In Proceedings of the ACM Web Conference 2023 (TheWebConf), Austin, TX, USA, April 30 - May 4, 2023. + +[Fairness and Explainability: Briding the Gap Towards Fair Model Explanations](https://arxiv.org/abs/2212.03840)\ +Yuying Zhao, Yu Wang, Tyler Derr.\ +In Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI), Washington, DC, USA, February 7-14, 2023. + +[Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure Relationship Modeling in Drug Discovery](https://www.biorxiv.org/content/10.1101/2022.08.24.505155v1.full.pdf)\ +Yunchao “Lance” Liu, Yu Wang, Oanh Vu, Rocco Moretti, Bobby Bodenheimer, Jens Meiler, Tyler Derr.\ +In Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI), Washington, DC, USA, February 7-14, 2023. + +### Publications in 2022 + +[Degree-related Bias in Link Prediction](https://tylersnetwork.github.io/papers/icdmw22-degreebiaslinkpred.pdf)\ +Yu Wang and Tyler Derr.\ +In Proceedings of the 22nd International Conference on Data Mining Workshop (ICDMW) Machine Learning on Graphs (MLoG), Orlando, FL, USA, November 28 - December 1, 2022. + +[THINK: Temporal Hypergraph Hyperbolic Network](https://tylersnetwork.github.io/papers/icdm22-think.pdf)\ +Shivam Agarwal, Ramit Sawhney, Megh Thakkar, Preslav Nakov, Jiawei Han, and Tyler Derr.\ +In Proceedings of the 22nd International Conference on Data Mining (ICDM), Orlando, FL, USA, November 28 - December 1, 2022. + +[Decision Boundaries of Deep Neural Networks](https://arxiv.org/abs/1912.11460)\ +Hamid Karimi and Tyler Derr.\ +In Proceedings of the 21th IEEE International Conference on Machine Learning and Applications (ICMLA), Nassau, The Bahamas, December 12-15, 2022. + +[Enhancing Individual Fairness through Propensity Score Matching](https://nds-vu.github.io/publications/)\ +Hamid Karimi, Muhammad Fawad Akbar Khan, Haochen Liu, Tyler Derr, and Hui Liu.\ +In Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics (DSAA), Virtual, October 13-16, 2022. + +[Imbalanced Graph Classification via Graph-of-Graph Neural Networks](https://arxiv.org/pdf/2112.00238.pdf)\ +Yu Wang, Yuying Zhao, Neil Shah, and Tyler Derr.\ +In Proceedings of the 31th ACM International Conference on Information and Knowledge Management (CIKM), Atlanta, GA, USA, October 17-21, 2022. + +[Inferring EHR Utilization Workflows through Audit Logs](https://nds-vu.github.io/publications/)\ +Xinmeng Zhang\*, Yuying Zhao\*, Chao Yan, Tyler Derr, and You Chen.\ +AMIA Annual Symposium Proceedings. Vol. 2022. American Medical Informatics Association, Washington D.C., USA, November 5-9, 2022. + +[Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute +Leakage](https://arxiv.org/pdf/2206.03426.pdf)\ +Yu Wang, Yuying Zhao, Yushun Dong, Huiyuan Chen, Jundong Li, and Tyler Derr.\ +In Proceedings of the 28th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Washington D.C., USA, August 14-18, 2022 + +[On Structural Explanation of Bias in Graph Neural Networks](https://arxiv.org/pdf/2206.12104.pdf)\ +Yushun Dong, Song Wang, Yu Wang, Tyler Derr, and Jundong Li.\ +In Proceedings of the 28th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Washington D.C., USA, August 14-18, 2022 + +[ChemicalX: A Deep Learning Library for Drug Pair Scoring](https://arxiv.org/pdf/2202.05240.pdf)\ +Benedek Rozemberczki, Charles Hoyt, Anna Gogleva, Piotr Grabowski, Klas Karis, Andrej Lamov, Andriy Nikolov, Sebastian Nilsson, Michael Ughetto, Yu Wang, Tyler Derr, and Benjamin Gyori.\ +In Proceedings of the 28th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Washington D.C., USA, August 14-18, 2022 + +[Fair Graph Representation Learning with Imbalanced and Biased Data](https://dl.acm.org/doi/pdf/10.1145/3488560.3502218)\ +Yu Wang.\ +Proceedings of the 15th ACM International Conference on Web Search and Data Mining (WSDM), Virtual Conf., February 21-25, 2022 + +[Graph Neural Networks: Self-supervised Learning](https://graph-neural-networks.github.io/gnnbook_Chapter18.html)\ +Yu Wang, Wei Jin, and Tyler Derr\ +Graph Neural Networks: Foundations, Frontiers, and Applications (Lingfei Wu, Peng Cui, Jian Pei, and Liang Zhao (Eds.)), Springer, Chapter 18. 2022 + +### Publications in 2021 + +[Tree Decomposed Graph Neural Network](https://tylersnetwork.github.io/papers/cikm21-tree_decomposed_gnn.pdf)\ +Yu Wang and Tyler Derr\ +In Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM), Virtual Conf., November 1-5, 2021 + +[Deep Adversarial Network Alignment](https://tylersnetwork.github.io/papers/deep_adversarial_network_alignment.pdf)\ +Tyler Derr, Hamid Karimi, Xiaorui Liu, Jiejun Xu, and Jiliang Tang\ +In Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM), Virtual Conf., November 1-5, 2021 + +[Graph Feature Gating Network](https://nds-vu.github.io/publications/)\ +Wei Jin, Xiaorui Liu, Yao Ma, Tyler Derr, Charu Aggarwal and Jiliang Tang\ +In Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM), Virtual Conf., November 1-5, 2021 + +[Road to the White House: Analyzing the Relations Between Mainstream and Social Media During the U.S. Presidential Primaries](https://arxiv.org/pdf/2009.09307.pdf)\ +Aaron Brookhouse\*, Tyler Derr\* , Hamid Karimi\*, H. Russell Bernard, and Jiliang Tang\ +In Proceedings of the 32nd ACM Conference on Hypertext and Social Media, Virtual Conf., August 30 - September 2, 2021 + +[Interpretable Visual Understanding with Cognitive Attention Network](https://tylersnetwork.github.io/papers/icann21-visual_understanding_cognitive_attention_ntework.pdf)\ +Xuejiao Tang, Wenbin Zhang, Yi Yu, Kea Turner, Tyler Derr, Mengyu Wang, Eirini Ntoutsi\ +In Proceedings of the 30th International Conference on Artificial Neural Networks (ICANN), Virtual Conf., September 14-17, 2021 + + +[Graph Adversarial Attack via Rewiring](https://arxiv.org/pdf/1906.03750.pdf)\ +Yao Ma, Suhang Wang, Tyler Derr, Lingfei Wu, and Jiliang Tang\ +In Proceedings of the 27th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD), Singapore (Virtual Conf.), August 14-18, 2021 + +[Stock Selection via Spatiotemporal Hypergraph Attention Network: A Learning to Rank Approach](https://tylersnetwork.github.io/papers/aaai21-hypergraph_attention_stock_selection.pdf)\ +Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Tyler Derr, Rajiv Shah\ +In Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI), Virtual Conf., February 2-9, 2021 + +[Node Similarity Preserving Graph Convolutional Networks](https://tylersnetwork.github.io/papers/wsdm21-node_similarity_preserving_gcn.pdf)\ +Wei Jin, Tyler Derr, Yiqi Wang, Yao Ma, Zitao Liu, Jiliang Tang\ +In Proceedings of the 14th ACM International Conference on Web Search and Data Mining (WSDM), Jerusalem, Israel, March 8-12, 2021 + + +[CopyAttack: Attacking Black-box Recommendations via Copying Cross-domain User Profiles](https://tylersnetwork.github.io/papers/icde21-recsys_crossdomain_user_copy_attack.pdf)\ +Wenqi Fan, Tyler Derr, Xiangyu Zhao,Yao Ma,Hui Liu, Jianping Wang, Jiliang Tang, Qing Li\ +In Proceedings of the IEEE 37th International Conference on Data Engineering (ICDE), Chania, Greece, April 19-22, 2021 + + +### Publications in 2020 + +[Understanding and Promoting Teacher Connections in Online Social Media: A Case Study on Pinterest](https://tylersnetwork.github.io/papers/tale20-promoting_teacher_connections_online.pdf)\ +Hamid Karimi, Kaitlin T. Torphy, Tyler Derr, Kenneth A. Frank, and Jiliang Tang\ +In Proceedings of the IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE), Takamatsu, Japan, December 8-11, 2020 + +[Deep Graph Learning: Foundations, Advances and Applications](https://ai.tencent.com/ailab/ml/KDD-Deep-Graph-Learning.html)\ +Yu Rong, Tingyang Xu, Junzhou Huang, Wenbing Huang, Hong Cheng, Yao Ma, Yiqi Wang, Tyler Derr, Lingfei Wu, Tengfei Ma\ +Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD), San Diego, USA, August 22-27, 2020 + +[Learning from Incomplete Labeled Data via Adversarial Data Generation](https://tylersnetwork.github.io/papers/icdm20-incomplete_labeled_data_learning.pdf)\ +Wentao Wang, Tyler Derr, Yao Ma, Suhang Wang, Hui Liu, Zitao Liu, and Jiliang Tang\ +In Proceedings of the 18th International Conference on Data Mining (ICDM), Sorrento, Italy, November 17-20, 2020 + +[Online Academic Course Performance Prediction using Relational Graph Convolutional Neural Network](https://tylersnetwork.github.io/papers/edm20-online_course_prediction_gnn.pdf)\ +Tyler Derr\*, Hamid Karimi\*, Jiangtao Huang, and Jiliang Tang\ +In Proceedings of 13th International Conference on Educational Data Mining (EDM), Ifrane, Morocco, July 10-13, 2020 + +[Characterizing Teacher Connections in Online Social Media: A Case Study on Pinterest](https://tylersnetwork.github.io/papers/lats20-teacher_connections_on_pinterest.pdf)\ +Hamid Karimi, Kaitlin T. Torphy, Tyler Derr, Kenneth A. Frank, and Jiliang Tang\ +(Work-in-Progress) In Proceedings of the 7th Learning@ Scale (L@S), Atlanta, USA, August 12-14, 2020 + +[Towards Improving Sample Representativeness of Teachers on Online Social Media: A Case Study on Pinterest](https://tylersnetwork.github.io/papers/aied20-improving_teacher_representativeness_online.pdf)\ +Hamid Karimi, Tyler Derr, Kaitlin T. Torphy, Kenneth A. Frank, and Jiliang Tang\ +In Proceedings of the 21st International Conference on Artificial Intelligence in Education (AIED), Ifran, Morocco, July 6-10, 2020 + +[Link and Interaction Polarity Predictions in Signed Networks](https://tylersnetwork.github.io/papers/snam20-link_interaction_polarity_prediction.pdf)\ +Tyler Derr, Zhiwei Wang, Jamell Dacon, and Jiliang Tang\ +Social Network Analysis and Mining. 10(18). 2020 + +[ROSE: Role-based Signed Network Embedding](https://tylersnetwork.github.io/papers/www20-rolebased_signed_embedding.pdf)\ +Amin Javari, Tyler Derr, Pouya Esmalian, Jiliang Tang, and Kevin Chen-Chuan Chang\ +In Proceedings of the 29th International Conference on The World Wide Web (WWW), Taipei, Taiwan, April 20-24, 2020 + +[A Deep Model for Predicting Online Course Performance](https://tylersnetwork.github.io/papers/aaai-ai4edu2020-predicting_online_course_performance.pdf)\ +Hamid Karimi\*, Jiangtao Huang\*, Tyler Derr\ +Workshop on Artificial Intelligence for Education (AI4EDU) at the 34th AAAI Conference on Artificial Intelligence (AAAI), New York, USA, February 7-12, 2020 + +[Epidemic Graph Convolutional Network](https://tylersnetwork.github.io/papers/wsdm20-epidemic_gcn.pdf)\ +Tyler Derr, Yao Ma, Wenqi Fan, Xiarui Liu, Charu Aggarwal, and Jiliang Tang\ +In Proceedings of the 13th ACM International Conference on Web Search and Data Mining (WSDM), Houston, USA, February 3-7, 2020 + +[Network Analysis with Negative Links](https://tylersnetwork.github.io/papers/wsdm20-network_analysis_with_negative_links.pdf)\ +Tyler Derr\ +In Proceedings of the 13th ACM International Conference on Web Search and Data Mining (WSDM), Houston, USA, February 3-7, 2020 + +### Publications in 2019 + +[Balance in Signed Bipartite Networks](https://tylersnetwork.github.io/papers/cikm2019-signed_bipartite_networks.pdf)\ +Tyler Derr, Cassidy Johnson, Yi Chang, and Jiliang Tang\ +In Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM), Beijing, China, November 3-7, 2019 + + +[Multi-Factor Congressional Vote Prediction](https://tylersnetwork.github.io/papers/asonam19-congressional_vote_prediction.pdf)\ +Tyler Derr\*, Hamid Karimi\*, Aaron Brookhouse, and Jiliang Tang\ +In Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Vancouver, Canada, August 27-30, 2019 + +[Deep Adversarial Social Recommendation](https://tylersnetwork.github.io/papers/ijcai19-adversarial_social_recommendation.pdf)\ +Wenqi Fan, Tyler Derr, Yao Ma, Qing Li, Jiliang Tang, and Jianping Wang\ +In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI), Macao, China, August 10-16, 2019 + +[A Roadmap for Incorporating Online Social Media in Educational Research](https://tylersnetwork.github.io/papers/tcr2019_social_media_in_education_research.pdf)\ +Hamid Karimi, Tyler Derr, Kaitlin T. Torphy, Kenneth A. Frank, and Jiliang Tang\ +In Teachers College Record Volume 121 Number 14, 2019 + +### Publications 2018 and before + +[Signed Graph Convolutional Networks](https://tylersnetwork.github.io/papers/icdm18-signed_graph_convolutional.pdf)\ +Tyler Derr, Yao Ma, and Jiliang Tang\ +In Proceedings of the 18th International Conference on Data Mining (ICDM), Singapore, November 17-20, 2018 + + +[Congresional Vote Analysis Using Signed Networks](https://tylersnetwork.github.io/papers/icdmw218-congressional_analysis_signed_networks.pdf)\ +Tyler Derr and Jiliang Tang\ +In Proceedings of the 18th International Conference on Data Mining Workshops (ICDMW), Singapore, November 17-20, 2018 + +[Signed Network Modeling Based on Structural Balance Theory](https://arxiv.org/pdf/1710.09485.pdf)\ +Tyler Derr, Charu Aggarwal, and Jiliang Tang\ +In Proceedings of the 27th ACM International Conference on Information and Knowledge Management (CIKM), Turin, Italy, October 22-26, 2018 + +[Opinions Power Opinions: Joint Link and Interaction Polarity Predictions in Signed Networks](https://ieeexplore.ieee.org/abstract/document/8508263)\ +Tyler Derr, Zhiwei Wang, and Jiliang Tang\ +In Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Barcelona, Spain, August 28-31, 2018 + +[Relevance Measurements in Online Signed Social Networks](https://tylersnetwork.github.io/papers/mlg18-signed_relevance_measurements.pdf)\ +Tyler Derr, Chenxing Wang, Suhang Wang, and Jiliang Tang\ +KDD 14th International Workshop on Mining and Learning with Graphs (MLG), London, United Kingdom, August 20, 2018 + +[Understanding and Predicting Weight Loss with Mobile Social Networking Data](https://tylersnetwork.github.io/papers/cikm17-weightloss.pdf)\ +Zhiwei Wang, Tyler Derr, Dawei Yin, and Jiliang Tang\ +In Proceedings of the 26th ACM International Conference on Information and Knowledge Management (CIKM), 2017 + + {% for publi in site.data.publist %} {{ publi.title }}
diff --git a/_pages/research.md b/_pages/research.md index c74d434911b..365e8b7bd59 100644 --- a/_pages/research.md +++ b/_pages/research.md @@ -1,46 +1,13 @@ --- -title: "Allan Lab - Research" +title: "NDS Lab - Research" layout: textlay -excerpt: "Allan Lab -- Research" +excerpt: "NDS Lab -- Research" sitemap: false permalink: /research/ --- # Research -Our overarching goal is to explore and understand new quantum states of electronic matter on the atomic scale. To do so, we use and develop novel spectroscopic-imaging scanning tunneling microscopy (SI-STM) tools to visualize the relevant quantum mechanical degrees of freedom. +Please see our member's personal sites for more information regarding our research. -Our goal is to build instruments and develop techniques that enable us to address the questions we find most interesting. This is possible thanks also to Milan's broad background with different research themes and technologies: he learned his trade in [Seamus Davis’ SI-STM lab](http://davisgroup.lassp.cornell.edu/) and with [Felix Baumberger](http://dpmc.unige.ch/gr_baumberger/index.html), and later moved as an [ETH fellow](http://www.ethfellows.ethz.ch/) to [Andreas Wallraff’s qudev lab](http://www.qudev.ethz.ch/) where he investigated coupled cavity arrays in circuit QED. We further have group members with different background and interests, working together on physics and instrumentation. - -Here are some themes and techniques that we currently work on: - -**Scanning tunneling noise spectroscopy (STNS).** We have developed a novel cryogenic MHz amplifier that allows us to measure not only the average tunneling current, but also its fluctuation! This has many applications: one can detect the fluctuations of the electronic states, peculiar tunneling processes, and shot noise. We have used this instrument to discover charge trapping in the insulating layer of the cuprates, connected to the c-axis mystery, and to measure the doubling of the charge due to Andreev processes to the superfluid in a lead sample. - - -**Mott physics and high-temperature superconductivity.** Questions of interest include: (i), How does the Mott state collapse upon doping and how is this related to the complex phase diagram of high-temperature superconductors? (ii), What is the strange metal phase seen in correlated electron systems? Is this an exotic long-range entangled state? What is the mechanism of dissipation in that state? (iii), Why is the transition temperature in high-temperature superconductors so high? We have worked on iridates, rhodates, and cuprates. - -**Nanofabricated "Smart Tips"**. -![]({{ site.url }}{{ site.baseurl }}/images/respic/SmartTip.png){: style="width: 250px; float: left; margin: 0px 10px"} -One of the  projects back from my job-proposal is to develop nanofabricated STM tips. The idea behind these “smart tips” is to use the technologies that were developed over decades in nanofabrication and make them available for scanning probe by using a nano-device instead of the traditional STM tungsten tip. One gains the flexibility of using different functionalities that are known from the fields of nanofabrication and mesoscopic physics. We are collaborating with the group Simon Groeblacher at TU Delft to realize this concept, benefitting from their unparalleled micro/nano fabrication know how.  A prototype of a smart tip is shown to the left. See publications in Microsyst Nanoeng, Nanotechnology, and PRB. - -**Josephson STM.** Josephson STM has the ability to gain insight into spatial variations of the order parameter, or superfluid density. We have managed to, for the first time, use JSTM with atomic resolution on a quantum material. -We have used atomic-resolution Josephson scanning tunneling microscopy to reveal a strongly inhomogeneous superfluid in the iron-based superconductor FeTe0.55Se0.45. The results and their implications are published in Nature. - -We also detected and investigated a quite particular YSR state in the same material. - -**Ultra-stable SI-STM instrument.** ![]({{ site.url }}{{ site.baseurl }}/images/respic/STMHead.png){: style="width: 250px; float: right; margin: 0px 10px"} -For SI-STM, having the most stable STM head is key. We have used finite element simulations, good choices in material science, and craftsmanship to build the most stable STM head in the world, to our knowledge. See publication in RSI. - - -**Strange Metals.** The strange metal phase might be the most mysterious phase of high-temperature superconductors. Here, the electrical resistivity grows linearly with temperature T in large areas of the phase diagram, with a mean free path that diminishes to a fraction of the interatomic distance. T-linear resistivity is often associated with quantum critical points and marginal-Fermi-liquid physics. In strange metals, the mystery seems to go even further: we deal with something that looks like a quantum critical phase over an extended range of the phase diagram instead of cumulating in a point. There exists no consistent theory for strange metals, leading to more adventurous new approaches including the holographic theories that use insights from quantum gravity to explain strange metals (a recent textbook on this was written by our colleagues at Leiden University, Schalm and Zaanen). -We are part of the 'Strange Metal consortium NL' that includes the groups of Hussey, Golden, van Heumen, Zaanen, Schalm, Stoof and Vandoren.  - -**Magnetic fluctuations and electron spin resonance.** -![]({{ site.url }}{{ site.baseurl }}/images/respic/SpinFluc.png){: style="width: 70%; float: center; margin: 10px"} - -**Twisted bilayer graphene and other material with super-periodicities.** -We have proposed that artificial super-periodicities can lead to improved superconductivity, both because of increased density of states and because of phase space arguments (see image from our SciPost publication below). Perhaps for different reasons, twisted bilayer graphene has been shown to superconduct! We are investigate this material with the groups of Efetov, Baumberger, and van der Molen. - -![]({{ site.url }}{{ site.baseurl }}/images/respic/SciPost.png){: style="width: 70%; float: center; margin: 0px"} - -### ... and more. + diff --git a/_pages/team.md b/_pages/team.md deleted file mode 100644 index 0a89d3d3e9a..00000000000 --- a/_pages/team.md +++ /dev/null @@ -1,196 +0,0 @@ ---- -title: "Allan Lab - Team" -layout: gridlay -excerpt: "Allan Lab: Team members" -sitemap: false -permalink: /team/ ---- - -# Group Members - - **We are looking for new PhD students, Postdocs, and Master students to join the team** [(see openings)]({{ site.url }}{{ site.baseurl }}/vacancies) **!** - - -Jump to [staff](#staff), [master and bachelor students](#master-and-bachelor-students), [alumni](#alumni), [administrative support](#administrative-support), [lab visitors](#lab-visitors). - -## Staff -{% assign number_printed = 0 %} -{% for member in site.data.team_members %} - -{% assign even_odd = number_printed | modulo: 2 %} - -{% if even_odd == 0 %} -
-{% endif %} - -
- -

{{ member.name }}

- {{ member.info }} -
    - - {% if member.number_educ == 1 %} -
  • {{ member.education1 }}
    • - {% endif %} - - {% if member.number_educ == 2 %} -
  • {{ member.education1 }}
    • -
  • {{ member.education2 }}
    • - {% endif %} - - {% if member.number_educ == 3 %} -
  • {{ member.education1 }}
    • -
  • {{ member.education2 }}
    • -
  • {{ member.education3 }}
    • - {% endif %} - - {% if member.number_educ == 4 %} -
  • {{ member.education1 }}
    • -
  • {{ member.education2 }}
    • -
  • {{ member.education3 }}
    • -
  • {{ member.education4 }}
    • - {% endif %} - - {% if member.number_educ == 5 %} -
  • {{ member.education1 }}
    • -
  • {{ member.education2 }}
    • -
  • {{ member.education3 }}
    • -
  • {{ member.education4 }}
    • -
  • {{ member.education5 }}
    • - {% endif %} - -
-
- -{% assign number_printed = number_printed | plus: 1 %} - -{% if even_odd == 1 %} -
-{% endif %} - -{% endfor %} - -{% assign even_odd = number_printed | modulo: 2 %} -{% if even_odd == 1 %} - -{% endif %} - - - - -## Master and Bachelor Students -{% assign number_printed = 0 %} -{% for member in site.data.students %} - -{% assign even_odd = number_printed | modulo: 2 %} - -{% if even_odd == 0 %} -
-{% endif %} - -
-

{{ member.name }}

- {{ member.info }} -
    - - {% if member.number_educ == 1 %} -
  • {{ member.education1 }}
    • - {% endif %} - - {% if member.number_educ == 2 %} -
  • {{ member.education1 }}
    • -
  • {{ member.education2 }}
    • - {% endif %} - - {% if member.number_educ == 3 %} -
  • {{ member.education1 }}
    • -
  • {{ member.education2 }}
    • -
  • {{ member.education3 }}
    • - {% endif %} - - {% if member.number_educ == 4 %} -
  • {{ member.education1 }}
    • -
  • {{ member.education2 }}
    • -
  • {{ member.education3 }}
    • -
  • {{ member.education4 }}
    • - {% endif %} - -
-
- -{% assign number_printed = number_printed | plus: 1 %} - -{% if even_odd == 1 %} -
-{% endif %} - -{% endfor %} - -{% assign even_odd = number_printed | modulo: 2 %} -{% if even_odd == 1 %} - -{% endif %} - - -## Alumni - -{% assign number_printed = 0 %} -{% for member in site.data.alumni_members %} - -{% assign even_odd = number_printed | modulo: 2 %} - -{% if even_odd == 0 %} -
-{% endif %} - -
- -

{{ member.name }}

- {{ member.duration }}
Role: {{ member.info }} -
    - -
-
- -{% assign number_printed = number_printed | plus: 1 %} - -{% if even_odd == 1 %} -
-{% endif %} - -{% endfor %} - -{% assign even_odd = number_printed | modulo: 2 %} -{% if even_odd == 1 %} - -{% endif %} - -## Former visitors, BSc/ MSc students -
- -
-

Visitors

-{% for member in site.data.alumni_visitors %} -{{ member.name }} -{% endfor %} -
- -
-

Master students

-{% for member in site.data.alumni_msc %} -{{ member.name }} -{% endfor %} -
- -
-

Bachelor Students

-{% for member in site.data.alumni_bsc %} -{{ member.name }} -{% endfor %} -
- -
- - -## Administrative Support -Ellie van Rijsewijk is helping us (and other groups) with administration. diff --git a/_pages/tree.png b/_pages/tree.png new file mode 100644 index 00000000000..813111e756b Binary files /dev/null and b/_pages/tree.png differ diff --git a/_pages/tutorials/cikm2024.md b/_pages/tutorials/cikm2024.md new file mode 100644 index 00000000000..b96c912adcb --- /dev/null +++ b/_pages/tutorials/cikm2024.md @@ -0,0 +1,123 @@ +--- +title: "CIKM24" +layout: textlay +excerpt: "CIKM24" +sitemap: false +permalink: /tutorials/cikm24/ +--- + +# Data Quality-aware Graph Machine Learning at CIKM'24 + +## Abstract + +Recent years have witnessed revolutionary success (e.g., large foundational models such as GPT/Stable Diffusion in Language/Image Generation) of shifting from the model-centric perspective, which focuses on developing top-performing models, to the data-centric perspective, emphasizing the quality of the data. Concurrently, the architecture design of graph machine learning (GML) has achieved significant progress with the emergence of Graph Neural Networks (GNNs) and more recent Graph Foundational Models (GFMs). Despite the recent advancements in model-centric architecture design especially for GNNs and GFMs, their heavy reliance on node features and graph structures makes them vulnerable to multiple data quality issues from a data-centric perspective. + + +Graph-structured data, like many other data modalities, suffer from conventional data-quality issues, e.g., imbalance issues where uneven training data across different classes can lead to inconsistent model performance. Even worse, the incorporation of graph structures can potentially exacerbate the aforementioned issues and even bring up new ones. For example, the imbalance issue that initially happens at the quantitative level could also happen at the structural level. These issues not only compromise the practical applications of GML but also present diagnostic challenges due to the complex and abstract nature of graph data, obstructing the progress of data-centric AI in GML. Given the revolutionary success achieved by data-centric AI in other fields, the ubiquity of GML in tremendous real-world applications, and the challenges of applying data-centric AI in GML, our tutorial aims to make a timely contribution by sensitizing the graph ML community towards graph data-quality issues with the following contributions: + +- **Introducing the background, basics, and more recent foundational models in Graph Machine Learning** + +- **Giving a comprehensive overview of discovering/investigating/mitigating/resolving these graph-data quality issues from model/data-centric solutions** + +- **Discussing data-centric research in recent Graph Foundational Models and some crucial challenges for future works** + + + +## Time and Location +Time: TBD
+Location: Boise Centre, Boise, Idaho, USA + +## Tutorial Outline + +
    + +
  • + Introduction and Background +
      +
    • Graph-structured data, Graph Machine Learning and GNNs
      • +
    • Summary of Graph Data Quality Issues
      • +
    +
    • + +
  • + Topology Issues +
      +
    • Global Positional Issues
      • +
    • Local Topology Issues
      • +
    • Missing Graph Issues
      • +
    • Future Directions
      • +
    +
    • + +
  • + Imbalance Issues +
      +
    • Node-level Imbalance
      • +
    • Edge-level Imbalance
      • +
    • Graph-level Imbalance
      • +
    • Future Directions
      • +
    +
    • + +
  • + Bias Issues +
      +
    • Group Fairness on Graphs
      • +
    • Individual Fairness on Graphs
      • +
    • Degree Fairness on Graphs
      • +
    • Future Directions
      • +
    +
    • + +
  • + Limited Labeled Data Issues +
      +
    • Graph Data Augmentations
      • +
    • Self-supervised Learning on Graphs
      • +
    • Future Directions
      • +
    +
    • + + +
  • + Abnormal Graph Data Issues +
      +
    • Missing and Noisy Features
      • +
    • Adversarially Attacked Data
      • +
    • Future Directions
      • +
    +
    • + +
+ +## Summary +Incoming Soon! + +## Slides +Incoming Soon! + +## Speakers Bio's + + +Yu Wang is an incoming Assistant Professor in the Department of Computer Sciences at the University of Oregon. Before joining University of Oregon, he obtained his Ph.D. degree in Computer Science at Vanderbilt University in 2024 under the supervision of Prof. Tyler Derr. His research interests include Graph Data Mining and Data-centric Machine Learning. He received numerous honors including the Best Paper Award in the 2020 Smokey Mountain Data Challenge Competition by ORNL and GLFrontiers Workshop at Neurips'23, Best Doctoral Forum Poster Runner-ups at SDM'24. He actively contributed to the community, both in terms of publishing and serving as PC member/reviewer/organizer such as ICLR, NeurIPS, AAAI, KDD, WWW, CIKM, WSDM, TKDD, TIST. He has contributed to the organization of workshops in WSDM'22/24, and the student travel award chair in CIKM'24. +
+
+ + +Kaize Ding is an Assistant Professor in the Department of Statistics and Data Science at Northwestern University. Before joining Northwestern, he obtained his Ph.D. degree in Computer Science at Arizona State University in 2023 under the supervision of Prof. Huan Liu. His research interests are generally in data mining, machine learning, and natural language processing, with a particular focus on GML, data-efficient learning, and reliable AI. His work has been published in top-tier conferences and journals (e.g., AAAI, EMNLP, IJCAI, KDD, NeurIPS, TheWebConf, and TNNLS), and has been recognized with several prestigious awards, including the AAAI New Faculty Highlights, SDM Best Posters Award, Best Paper Award at the Trustworthy Learning on Graphs workshop, etc. +
+
+ +Xiaorui Liu is an assistant professor in the Computer Science Department at North Carolina State University. He received his Ph.D. degree in Computer Science from Michigan State University in 2022. His research interests include graph machine learning, large-scale machine learning, and trustworthy artificial intelligence. He has published innovative works in top-tier conferences such as NeurIPS, ICML, ICLR, KDD, AISTATS, and SIGIR. He was awarded the ACM SIGKDD Outstanding Dissertation Award (Runner-up) in 2023, Amazon Research Award in 2022, Chinese Government Award for Outstanding Students Abroad in 2022, and Best Paper Honorable Mention Award at ICHI'19. He has organized and co-presented two tutorials related to Graph Machine Learning at KDD'21/23. +
+
+ +Jian Kang is an Assistant Professor in the Department of Computer Science at the University of Rochester. His research aims to develop data mining and machine learning techniques on graphs that are trustworthy and can advance scientific discovery. He was recognized as a Rising Star in Data Science by The University of Chicago, Mavis Future Faculty Fellow by the University of Illinois Urbana-Champaign and top reviewer at multiple conferences (ICML'20, ICLR'21, CIKM'21, NeurIPS'22, LOG'22). He received his Ph.D. in Computer Science from the University of Illinois Urbana-Champaign. He has presented four tutorials on fair graph learning (CIKM'21, KDD'22, SDM'23, SDM'24) and organized two workshops on trustworthy graph learning (CIKM'22, WWW'24). +
+
+ +Ryan Rossi is a Senior Research Scientist at Adobe Research. His research includes machine learning and spans theory, algorithms, and applications of large complex graph data. He has authored over 100 papers published in top-tier conferences/journals such as NeurIPS, ICML, AAAI, KDD, IJCAI, ICLR, COLT, WWW, ICML, WSDM, JMLR, etc. Before joining Adobe Research, he worked at many industrial, government, and academic research labs including Palo Alto Research Center (Xerox PARC), Lawrence Livermore National Laboratory, Naval Research Laboratory, NASA Jet Propulsion Laboratory/Caltech, and University of Massachusetts Amherst. Ryan earned his Ph.D./M.S. in Computer Science at Purdue University. He was a recipient of the National Science Foundation Graduate Research Fellowship, National Defense Science and Engineering Graduate Fellowship, the Purdue Frederick N. Andrews Fellowship, and Bilsland Dissertation Fellowship. He has co-organized many workshops and challenges including the Scientific Figure Captioning Challenge at IJCAI'24. +
+
+ +Tyler Derr is an Assistant Professor in the Department of Computer Science at Vanderbilt University and directs the Network and Data Science (NDS) lab, which conducts research in the areas of data mining and machine learning, with emphasis on (1) social network analysis and recommender systems, (2) deep learning on graphs, (3) responsible and trustworthy AI, and (4) interdisciplinary social good applications. He is actively involved in top conferences in his field, both in terms of publishing and serving as a PC/SPC member, while receiving recognition such as the Best Student Poster Award at SDM’19 and Best Reviewer Awards at ICWSM’19/’21, as well as WSDM’22. He has contributed to the organization of numerous international conferences and workshops, including serving on the organizing committee of KDD (2021-2024), DSAA (2024), and WSDM (2022, 2024), along with co-founding the Machine Learning on Graphs (MLoG) Workshop at WSDM (2022-2024) along with at ICDM (2022-2023). Being passionate about sharing knowledge, he has delivered tutorials on Graph Neural Networks at KDD’20, AAAI’21, and SDM'24. He serves as Associate Editor for four journals including Tsinghua Science and Technology and IEEE Transactions on Big Data. Tyler has received several awards including Vanderbilt's Fall 2020 Teaching Innovation Award from the School of Engineering and the NSF CAREER Award in 2023. diff --git a/_pages/tutorials/sdm24.md b/_pages/tutorials/sdm24.md new file mode 100644 index 00000000000..2aff1e9bf8d --- /dev/null +++ b/_pages/tutorials/sdm24.md @@ -0,0 +1,116 @@ +--- +title: "SDM24" +layout: textlay +excerpt: "SDM24" +sitemap: false +permalink: /tutorials/sdm24/ +--- + +# Data Quality-Aware Graph Machine Learning Tutorial at SDM'24 + +## Abstract + +Recent years have witnessed a significant shift from just model-centric AI, which focuses on developing top-performing models, to also data-centric AI, which emphasizes the quality and refinement of the data used in AI models with most of these efforts in computer vision and natural language processing domains (i.e., image and text). Concurrently, graph machine learning (GML), such as Graph Neural Networks (GNNs) has emerged as a rising approach for analyzing graph-structured data by fusing the topological information via message-passing and the feature information via neural transformation. Despite GML's unprecedented success in pushing the boundary of state-of-the-art performance in graph-based tasks, its strong dependence on node features and graph topology also makes it vulnerable to data-quality issues, which can catastrophically impair GML performance. On the one hand, graph-structured data, like many other data modalities, suffer from conventional data-quality issues, e.g., imbalance and bias. On the other hand, the intrinsic complex and abstract nature of graph topology can potentially exacerbate the aforementioned issues and brings up new ones. For example, the imbalance issue that initially happens at the quantitative level could also occur at the topological level. The inherent bias encoded in the sensitive feature space might get amplified after the message passing in GNNs. These issues severely impair downstream task performance and are challenging to diagnose due to graphs' inherent complexity and abstraction. In view of the criticality and ubiquity of the graph-data quality issues in compromising GML performance, our tutorial aims to make a timely contribution by sensitizing the graph ML community towards graph data-quality issues while (1) introducing the background and motivation behind GML, (2) giving a bird's eye view of existing graph-data quality issues, (3) selectively presenting representative works in studying/solving these issues, and (4) discussing crucial challenges for future work. + +## Time and Location +Time: 3:15 - 5:15 pm (CT)
+Location: Mesquite Room (at The Westin Houston, Memorial City in Houston, TX) + +## Tutorial Outline + +
    + +
  • + Introduction and Background +
      +
    • Graph-structured data, GML, and GNNs
      • +
    • Summary of Graph Data Quality Issues
      • +
    +
    • + +
  • + Topology Issues +
      +
    • Global Positional Issues
      • +
    • Local Topology Issues
      • +
    • Missing Graph Issues
      • +
    • Future Directions
      • +
    +
    • + +
  • + Imbalance Issues +
      +
    • Node-level Imbalance
      • +
    • Edge-level Imbalance
      • +
    • Graph-level Imbalance
      • +
    • Future Directions
      • +
    +
    • + +
  • + Bias Issues +
      +
    • Group Fairness on Graphs
      • +
    • Individiual Fairness on Graphs
      • +
    • Degree Fairness on Graphs
      • +
    • Future Directions
      • +
    +
    • + +
  • + Limited Labeled Data Issues +
      +
    • Graph Data Augmentations
      • +
    • Self-supervised Learning on Graphs
      • +
    • Future Directions
      • +
    +
    • + + +
  • + Abnormal Graph Data Issues +
      +
    • Missing and Noisy Features
      • +
    • Adversarially Attacked Data
      • +
    • Future Directions
      • +
    +
    • + +
+ +## Summary + +
+
+ +## Slides +You can download our slides or see them embedded below. +Download link + + + +## Speakers Bio's + + +Yu Wang is a Ph.D. candidate of Computer Science at Vanderbilt University. His research focuses on data-centric graph machine learning, data-quality aware graph neural networks with applications in recommender systems and information retrieval. He has published in top conferences (e.g., KDD, WWW, WSDM, AAAI and CIKM) and has also served as a program committee member/reviewer at AAAI, SDM, KDD, TKDD, TKDE, etc. He has received numerous awards including Vanderbilt's Graduate Leadership Anchor Award for Research in 2023 and Vanderbilt's C.F. Chen Best Paper Award in 2022. More details are in https://yuwvandy.github.io/. +
+ + +Yijun Tian is a Ph.D. candidate of Computer Science and Engineering at the University of Notre Dame. His research interests lie in graph learning, machine learning, and data science. He focuses on developing GNNs that are knowledge-enhanced, self-supervised, and robust. He has published 20+ papers in top conferences including ICLR, ICML, AAAI, IJCAI, WWW, etc. He has served as program committee member and reviewer at NeurIPS, SDM, CIKM, KDD, AAAI, TKDE, etc. +
+ + +Tong Zhao is a Research Scientist in the User Modeling and Personalization group at Snap Research. He earned a Ph.D. in Computer Science and Engineering at University of Notre Dame in 2022. His research focuses on graph machine learning as well as their applications in real-world use cases. His work has resulted in 30+ conference and journal publications, in top venues such as ICML, ICLR, NeurIPS, KDD, AAAI, WWW, TNNLS, etc. He also was the organizer and presenter at multiple workshops and tutorials on GNNs at KDD'22, ICDM'22, SDM'23, KDD'23, ICDM'23. +
+ + +Xiaorui Liu is an assistant professor in the Computer Science Department at North Carolina State University. He received his Ph.D. degree in Computer Science from Michigan State University in 2022. His research interests include deep learning on graphs, large-scale machine learning, and trustworthy artificial intelligence. He has published innovative works in top-tier conferences such as NeurIPS, ICML, ICLR, KDD, AISTATS, and SIGIR. He was awarded the ACM SIGKDD Outstanding Dissertation Award (Runner-up) in 2023, Amazon Research Award in 2022, Chinese Government Award for Outstanding Students Abroad in 2022, and Best Paper Honorable Mention Award at ICHI'19. He has organized and co-presented two tutorials related to Graph Machine Learning at KDD'21 and KDD'23. More information about him can be found at https://sites.google.com/ncsu.edu/xiaorui/. +
+ + +Jian Kang is an Assistant Professor in the Department of Computer Science at the University of Rochester. His research aims to develop data mining and machine learning techniques on graphs that are trustworthy and can advance scientific discovery. He was recognized as Rising Star in Data Science by The University of Chicago, Mavis Future Faculty Fellow by the University of Illinois Urbana-Champaign and top reviewer at multiple conferences (ICML 2020, ICLR 2021, CIKM 2021, NeurIPS 2022, LOG 2022). He received his Ph.D. in Computer Science from the University of Illinois Urbana-Champaign. He has presented three tutorials on fair graph learning (CIKM 2021, KDD 2022, SDM 2023) and organized one workshop on trustworthy graph learning (CIKM 2022). +
+ + +Tyler Derr is an Assistant Professor in the Department of Computer Science at Vanderbilt University and directs the Network and Data Science (NDS) lab, which conducts research in the areas of data mining and machine learning, with emphasis on (1) social network analysis and recommender systems, (2) deep learning on graphs, (3) responsible and trustworthy AI, and (4) interdisciplinary social good applications. He is actively involved in top conferences in his field, both in terms of publishing and serving as a PC/SPC member, while receiving recognition such as the Best Student Poster Award at SDM’19 and Best Reviewer Awards at ICWSM’19/’21, as well as WSDM’22. He has contributed to the organization of numerous international conferences and workshops, including serving on the organizing committee of KDD (2021-2024), DSAA (2024), and WSDM (2022, 2024), along with co-founding the Machine Learning on Graphs (MLoG) Workshop at WSDM (2022-2024) along with at ICDM (2022-2023). Being passionate about sharing knowledge, he has delivered tutorials on Graph Neural Networks at KDD’20, AAAI’21, and SDM'24. He serves as Associate Editor for four journals including Tsinghua Science and Technology and IEEE Transactions on Big Data. Tyler has received several awards including Vanderbilt's Fall 2020 Teaching Innovation Award from the School of Engineering and the NSF CAREER Award in 2023. More details can be found at http://www.TylerDerr.com. diff --git a/css/main.scss b/css/main.scss index a0371ab7c68..161063873c3 100644 --- a/css/main.scss +++ b/css/main.scss @@ -43,7 +43,7 @@ firstp { .container-fluid { margin-right: auto; margin-left: auto; - max-width: 1000px; /* or 950px */ + max-width: 1000px; /* or 950px originally 1000*/ } /* Home, News */ @@ -91,3 +91,28 @@ firstp { margin-right: 30px; } + +.container-fluid .row { + margin-left: -15px; + margin-right: -15px; + margin-top: 15px; + +} + +/* added for social links */ +.social-links a { + width: 40px; + height: 40px; + border-radius: 50%; + border: 1px solid #cddbe1; + text-align: center; + color: #69acc7; + display: inline-block; + padding-top: 8px; + -webkit-transition: .3s ease; + transition: .3s ease; + } + .social-links a:hover { + background: #69acc7; + border-color: #69acc7; + color: white; } diff --git a/downloads/Call+for+proposals+Veni+2021+-+ENG.pdf b/downloads/Call+for+proposals+Veni+2021+-+ENG.pdf 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