👋 About Me
I’m a second-year CS PhD student at University of Wisconsin-Madison. I completed my B.Eng in Computer Science (IEEE Honor Class) at Shanghai Jiao Tong University, where I was fortunate to work with Prof. Pengfei Liu and Prof. Junxian He.
My research focuses on large language models, particularly in developing intelligent coding agents. I’m driven by curiosity about how complex systems work and how we can make AI systems more capable and efficient.
🎓 Educations
- 2024.09 - (now), Ph.D. in CS, University of Wisconsin-Madison.
- 2020.09 - 2024.06, B.Eng in CS (IEEE Honor Class), Shanghai Jiao Tong University.
- 2023.02 - 2023.07, Exchange Student in CS, EPFL.
📖 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
- Research Scientist Intern, AMD, Jan 2025 – Present
- Applied Scientist Intern, Microsoft, Jun 2025 – Jan 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