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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 Token Reduction for Model Compression. Feel free to reach out to me at [email protected], 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.

    112 3

  2. Awesome-Token-Reduction-for-Model-Compression Awesome-Token-Reduction-for-Model-Compression Public

    πŸ“š Collection of token reduction for model compression resources.

    20 1

  3. GlobalCom2 GlobalCom2 Public

    Compression with Global Guidance: Towards Training-free High-Resolution MLLMs Acceleration

    Python 9

  4. VGDiffZero VGDiffZero Public

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

    Python 13 1

  5. Shenyi-Z/ToCa Shenyi-Z/ToCa Public

    Accelerating Diffusion Transformers with Token-wise Feature Caching

    Python 49 1

  6. liuting20/DARA liuting20/DARA Public

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

    Python 18