👋 About Me
I’m a Member of Technical Staff at AMD, where I build LLM agents.
My research interests center on large language models, and I’m driven by curiosity about how complex systems work and how we can make AI systems more capable and efficient.
🎓 Education
- Sep 2024 - May 2026, MS in CS, University of Wisconsin-Madison.
- Sep 2020 - Jun 2024, BEng in CS (IEEE Honor Class), Shanghai Jiao Tong University.
📖 Selected Publications
SWE-Edit: Rethinking Code Editing for Efficient SWE-Agent
Y. Zhang, J. Pei, K. Li, et al.
GitHub | Preprint, 2026
R-KV: Redundancy-aware KV Cache Compression for Reasoning Models
Z. Cai, W. Xiao, H. Sun, C. Luo, Y. Zhang, K. Wan, et al.
PDF | GitHub | NeurIPS, 2025
Dissecting Human and LLM Preferences
J. Li, F. Zhou, S. Sun, Y. Zhang, H. Zhao, P. Liu
PDF | GitHub | ACL, 2024
Pygmtools: A Python Graph Matching Toolkit
R. Wang, Z. Guo, W. Pan, J. Ma, Y. Zhang, et al.
PDF | GitHub | JMLR, 2024
C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models
Y. Huang*, Y. Bai*, Z. Zhu, J. Zhang, J. Zhang, T. Su, J. Liu, C. Lv, Y. Zhang, J. Lei, Y. Fu, M. Sun, J. He
PDF | GitHub | NeurIPS (Datasets and Benchmarks track), 2023
🧑🌾 Work Experience
- Member of Technical Staff, AMD, Jun 2026 - Present
- Research Scientist Intern, AMD, Jan 2026 - Jun 2026
- Applied Scientist Intern, Microsoft, Jun 2025 – Dec 2026
- Applied Scientist Intern, Amazon Web Services (AWS), Mar 2024 – Aug 2024
- Research Intern, Shanghai AI Lab, Jul 2023 – Oct 2023
🏆 Awards
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Shanghai Outstanding Graduate (top 5%), 2024
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Ubiquant Scholarship (awarded to 10 students across SJTU), 2023
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SJTU Outstanding Student Scholarship (top 10%), 2020-2023
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Longfor Foundation Scholarship (top 5%), 2021