- 👋 Hi, I’m a 1st-year Ph.D. student at HKUST and got my B.E. degree from Beihang University.
- 👀 I’m interested in Efficient AIGC (e.g., training and inference acceleration for large generative models).
- 🌱 I’m currently a research intern at SenseTime Research, and previously at Microsoft Research Asia and SenseTime Research.
- 📫 If you have any questions, feel free to reach out at yh4717023@gmail.com.
🎯
Focusing
Ph.D. @ HKUST; B.Eng @ BUAA
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The Hong Kong University of Science and Technology
- Hong Kong SAR
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22:08
(UTC +08:00) - https://harahan.github.io/
- https://orcid.org/0009-0002-7898-8402
Highlights
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ModelTC/awesome-lm-system
ModelTC/awesome-lm-system PublicSummary of system papers/frameworks/codes/tools on training or serving large model
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ModelTC/llmc
ModelTC/llmc Public[EMNLP 2024 Industry Track] This is the official PyTorch implementation of "LLMC: Benchmarking Large Language Model Quantization with a Versatile Compression Toolkit".
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ModelTC/TFMQ-DM
ModelTC/TFMQ-DM Public[CVPR 2024 Highlight] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models".
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ModelTC/HarmoniCa
ModelTC/HarmoniCa Public[ICML 2025] This is the official PyTorch implementation of "HarmoniCa: Harmonizing Training and Inference for Better Feature Caching in Diffusion Transformer Acceleration".
Python 4
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