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HuangOwen/README.md

Hi there πŸ‘‹

Owen Huang's github stats

This is Xijie Huang [HomePage], a Ph.D. student at HKUST CSE.

  • πŸ‘¨β€πŸŽ“ I am a CSE PhD student from HKUST mentored by Prof. Tim CHENG. I also worked with Zechun Liu from Meta Reality Lab.
  • πŸ”­ I worked as a research intern at Snap Research πŸ‘» Santa Monica under the supervision of Jian Ren, working on building efficient diffusion models. I have also conducted a research internship at Microsoft Research Asia (MSRA) under the supervision of Li Lyna Zhang, working on the prompt pruning of LLMs.
  • πŸ§‘β€πŸ« I finished my B.E. at Shanghai Jiaotong University in 2020, where I worked with Prof. Cewu Lu. I visited UCLA as a visiting research intern in 2019, where I worked with Prof. Mani Srivastava.
  • πŸ‘― My research interests lie in LLMs, efficient deep learning, and human-centric computer vision. More concretely, my research interests focus on quantization, pruning, and algorithm-hardware co-design. Don't hesitate to get in touch with me if you are interested in collaborating with me!

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  1. Awesome-LLM-Compression Awesome-LLM-Compression Public

    Awesome LLM compression research papers and tools.

    1.8k 115

  2. QAT-ACS QAT-ACS Public

    [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"

    Python 36 4

  3. Quantization-Variation Quantization-Variation Public

    [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precision"

    Python 46

  4. RoLoRA RoLoRA Public

    [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization

    Python 38 2

  5. CoT-Influx CoT-Influx Public

    [EMNLP 2024] PyTorch implementation of paper "Fewer is More: Boosting LLM Reasoning with Reinforced Context Pruning"

    Python 8

  6. DirtyHarryLYL/Transferable-Interactiveness-Network DirtyHarryLYL/Transferable-Interactiveness-Network Public

    Code for Transferable Interactiveness Knowledge for Human-Object Interaction Detection. (CVPR'19, TPAMI'21)

    Python 236 42