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xuyang-liu16/README.md

🌈 I am a second-year Master's student at Sichuan University, under the supervision of Prof. Honggang Chen. Currently, I am working as a research intern at Taobao & Tmall Group, focusing on Efficient MLLM. Previously, I had the honor of visiting MiLAB at Westlake University, supervised by Prof. Donglin Wang. I am very glad to be supervised and collaborated with Dr. Siteng Huang from DAMO Academy and Asst. Prof. Linfeng Zhang from SJTU.

My research interests span Efficient Multi-modal Large Language Models, including:

πŸ“’ Recently, I am focusing on Acceleration of Generative Models. Feel free to reach out to me at liuxuyang@stu.scu.edu.cn, if you are interested in collaborating with me.

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  1. Awesome-Generation-Acceleration Awesome-Generation-Acceleration Public

    πŸ“š Collection of awesome generation acceleration resources.

    72 3

  2. VGDiffZero VGDiffZero Public

    [ICASSP 2024] VGDiffZero: Text-to-image Diffusion Models Can Be Zero-shot Visual Grounders

    Python 12 1

  3. Shenyi-Z/ToCa Shenyi-Z/ToCa Public

    Accelerating Diffusion Transformers with Token-wise Feature Caching

    Python 36 1

  4. liuting20/DARA liuting20/DARA Public

    [ICME 2024 Oral] DARA: Domain- and Relation-aware Adapters Make Parameter-efficient Tuning for Visual Grounding

    Python 17