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VainF/readme.md

My name is Gongfan Fang, currently a last-year Ph.D. Candidate at the xML Lab @ National University of Singapore, under the supervision of Prof. Xinchao Wang (Presidential Young Professor) . Before joining xML Lab, I earned my Bachelor’s degree in 2019 and completed my Master’s degree in 2022 at the Visual Intelligence and Pattern Analysis (VIPA) Lab @ Zhejiang University, adviced by Prof. Mingli Song.

My research focuses on LLMs, Diffusion and Efficient Generative Models. My previous work includes Hybrid Reasoning LLM, Efficient LLM, and Fast Diffusion Transformers. I'm also actively contributing to several projects such as Torch-Pruning, a top framework for compressing foundation models.

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I'm currently on the job market and open to both academic and industrial opportunities. Please feel free to reach out via email (gongfan at u.nus.edu) if there’s a potential fit.

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  1. Torch-Pruning Torch-Pruning Public

    [CVPR 2023] DepGraph: Towards Any Structural Pruning; LLMs, Vision Foundation Models, etc.

    Python 3k 352

  2. Thinkless Thinkless Public

    [Preprint 2025] Thinkless: LLM Learns When to Think

    Python 175 12

  3. NVlabs/MaskLLM NVlabs/MaskLLM Public

    [NeurIPS 24 Spotlight] MaskLLM: Learnable Semi-structured Sparsity for Large Language Models

    Python 168 12

  4. TinyFusion TinyFusion Public

    [CVPR 2025 Highlight] TinyFusion: Diffusion Transformers Learned Shallow

    Python 123 1

  5. horseee/DeepCache horseee/DeepCache Public

    [CVPR 2024] DeepCache: Accelerating Diffusion Models for Free

    Python 897 44

  6. horseee/LLM-Pruner horseee/LLM-Pruner Public

    [NeurIPS 2023] LLM-Pruner: On the Structural Pruning of Large Language Models. Support Llama-3/3.1, Llama-2, LLaMA, BLOOM, Vicuna, Baichuan, TinyLlama, etc.

    Python 1k 122