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Zzz (¦3[▓▓] | Research Scientist @ NVIDIA | Previous @ NUS & ZJU
Hi there! I'm Gongfan Fang, a Research Scientist at NVIDIA, where I'm working on LLMs. I recently completed my Ph.D. at the xML Lab, National University of Singapore, under the supervision of Prof. Xinchao Wang. Prior to that, I received my B.Eng. (2019) and M.Eng. (2022) from Zhejiang University under the supervision of Prof. Mingli Song.
My research focuses on Efficient Deep Learning. I am the creator of Torch-Pruning, an open-source framework for structured pruning and acceleration. And I also received the 2024 ByteDance Scholarship.


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[CVPR 2023] DepGraph: Towards Any Structural Pruning; LLMs, Vision Foundation Models, etc.
Python
3.4k
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[NeurIPS 2025] Thinkless: LLM Learns When to Think
Python
259
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[NeurIPS 24 Spotlight] MaskLLM: Learnable Semi-structured Sparsity for Large Language Models
Python
192
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[CVPR 2024] DeepCache: Accelerating Diffusion Models for Free
Python
966
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Fast and differentiable MS-SSIM and SSIM for pytorch.
Python
1.3k
127
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[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
1.1k
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