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czg1225/README.md

Hello! My name is Zigeng Chen (陈子赓).

I am a Ph.D. student at xML LAB @ National University of Singapore, advised by professor Xinchao Wang. Before joining the xML Lab, I earned my Bachelor's degree in Communication Engineering from Soochow University and my Master's degree in Electrical Engineering from the National University of Singapore. My current research interests focus on Efficient Generative AI.

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  1. VeriThinker VeriThinker Public

    VeriThinker: Learning to Verify Makes Reasoning Model Efficient

    Python 41 1

  2. CoDe CoDe Public

    [CVPR 2025] CoDe: Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient

    Python 102 2

  3. AsyncDiff AsyncDiff Public

    [NeurIPS 2024] AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising

    Python 203 12

  4. SlimSAM SlimSAM Public

    [NeurIPS 2024] SlimSAM: 0.1% Data Makes Segment Anything Slim

    Python 328 19

  5. Awesome-Efficient-Segment-Anything Awesome-Efficient-Segment-Anything Public

    One summary of efficient segment anything models

    96