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intellistream · Sep 13, 2024 · 0df6241 · 0df6241
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diff --git a/_data/news.yml b/_data/news.yml
@@ -1,3 +1,6 @@
+- date: 14/June/2024
+  headline: "Our new work on Sesame has been accepted to ICDM 2024 regular track. <b> MOStream: A Modular and Self-Optimizing Data Stream Clustering Algorithm</b>. Congrats to visiting students Zhengru Wang and Xin Wang."
+
 - date: 14/June/2024
   headline: "Our Sesame Python API package has been released to pypi: <a href='https://pypi.org/project/pysame'>https://pypi.org/project/pysame</a>. Sesame is scalable stream mining library on modern hardware written in C++ By now Sesame contains several representative real-world stream clustering algorithms and synthetic algorithms. <a href='https://dl.acm.org/doi/abs/10.1145/3589307'>Sesame was first announced in SIGMOD 2023.</a>"
 

diff --git a/_data/phds.yml b/_data/phds.yml
@@ -14,7 +14,7 @@
 
 - name: Junyao Dong (co-sup with Long Cheng)
   photo: user.png
-  info: "(M.Eng) Starting in Aug 2024"
+  info: "(M.Eng) Started in Aug 2024"
   email: 
   number_educ: 1
-  education1: B.Sc. in Computer Science, Guangdong University of Foreign Studies (2021)
+  education1: B.Sc. in Computer Science, Guangdong University of Foreign Studies (2021)
diff --git a/_data/presentations.json b/_data/presentations.json
@@ -372,5 +372,16 @@
     "link": "https://ntu-sg.zoom.us/j/89265052203?pwd=vcr3cH2PeacWKSAGbKMRhHgMv9iiZq.1",
     "notes": "",
     "categories": ["Vector Database", "Vector Join", "GPU Acceleration"]
+  },
+  {
+    "presenter": "Zhao Dandan",
+    "paper": "工业大数据下的复杂过程故障诊断研究",
+    "date": "2024-09-06",
+    "day": "Friday",
+    "time": "4:30PM-5:00PM (Singapore Time)",
+    "slides": "",
+    "link": "https://ntu-sg.zoom.us/j/89265052203?pwd=vcr3cH2PeacWKSAGbKMRhHgMv9iiZq.1",
+    "notes": "",
+    "categories": ["Fault Diagnosis", "Industrial Big Data"]
   }
 ]
diff --git a/_data/publist.yml b/_data/publist.yml
@@ -1,3 +1,13 @@
+- title: "MOStream: A Modular and Self-Optimizing Data Stream Clustering Algorithm"
+  image: 
+  description: 
+  authors: Zhengru Wang, Xin Wang, Shuhao Zhang
+  url: https://arxiv.org/abs/2309.04799
+  venue: ICDM
+  display: International Conference on Data Mining (ICDM)
+  year: 2024
+  highlight: 0
+
 - title: "MorphStream: Adaptive Scheduling for Scalable Transactional Stream Processing on Multicores"
   image: morphstream.png
   description: |

diff --git a/_pages/home.md b/_pages/home.md
@@ -55,7 +55,7 @@ Our group focuses on the design and optimization of high-performance stream proc
 - **[EMNLP'23]** [SentiStream: A Co-Training Framework for Adaptive Online Sentiment Analysis in Evolving Data Streams](https://aclanthology.org/2023.emnlp-main.380)
 
 ## Stream Data Mining
-- **[arXiv'24]** [MOStream: A Modular and Self-Optimizing Data Stream Clustering Algorithm](http://arxiv.org/abs/2309.04799)
+- **[ICDM'24]** [MOStream: A Modular and Self-Optimizing Data Stream Clustering Algorithm](http://arxiv.org/abs/2309.04799)
 - **[SIGMOD'23]** [Data Stream Clustering: An In-depth Empirical Study](https://doi.org/10.1145/3589307)
 - **[BigMM'19]** [TraV: an Interactive Trajectory Exploration System for Massive Data Sets](https://ieeexplore.ieee.org/document/8919445)