Shang Yang
PhD Candidate
Cambridge, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolShang Yang is a PhD candidate in EECS at MIT with six years of experience bridging advanced electronic engineering and computational research. Trained at Tsinghua University (BEng in Electronic Engineering) and now pursuing doctoral work at MIT, he blends rigorous theoretical foundations with hands-on experimental skills. Based in Cambridge, MA, he focuses on cutting-edge problems at the intersection of hardware and systems research. Though early in his academic career, his trajectory indicates a strong aptitude for translating complex engineering concepts into reproducible research. Colleagues can expect a researcher comfortable in both Chinese and American academic environments, capable of navigating international collaborations.
6 years of coding experience
Doctor of Philosophy - PhD, EECS, Doctor of Philosophy - PhD, EECS at Massachusetts Institute of TechnologyBachelor, Electronic Engineering, Bachelor, Electronic Engineering at Tsinghua University
Github Skills (25)
pytorch9
inference-engine9
point-cloud9
deep-learning8
inference8
acceleration8
nodejs7
nlp6
tvm6
javascript6
hpc-applications5
simulation5
llm4
graphical-user-interface4
language-model4
Programming languages (4)
Github contributions (5)
mit-han-lab/llm-awq
Jun 2023 - Mar 2025
[MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
Contributions:17 reviews, 46 PRs, 63 pushes in 1 year 10 months
mit-han-lab/omniserve
May 2024 - Mar 2025
[MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Serving with Unified Sparse Attention
Contributions:13 PRs, 18 pushes, 16 branches in 10 months
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