Jun Yang

JCL 208

I am a second-year PhD student in Computer Science at University of Chicago, advised by Prof. Kexin Pei and Prof. Shan Lu.

I received my M.S. degree at UIUC advised by Prof. Lingming Zhang in 2024. Prior to that, I obtained my B.S. degree from Huazhong University of Science and Technology in 2022, where I was advised by Prof. Ming Wen.

My research interests are Program Analysis, Test Generation, LLMs for Code, and Proof Generation.

Publications

Synthesizing Performance Constraints for Evaluating and Improving Code Efficiency

Jun Yang, Cheng-Chi Wang, Bogdan Alexandru Stoica, and Kexin Pei

In The Thirty-ninth Annual Conference on Neural Information Processing Systems, 2025
Repoqa: Evaluating Long Context Code Understanding

Jiawei Liu, Jia Le Tian, Vijay Daita, Yuxiang Wei, Yifeng Ding, Yuhan Katherine Wang, Jun Yang, and LINGMING ZHANG

In First Workshop on Long-Context Foundation Models@ ICML 2024, 2024
Benchmarking Automated Program Repair: an Extensive Study on Both Real-World and Artificial Bugs

Yicheng Ouyang, Jun Yang, and Lingming Zhang

In Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024
When Automated Program Repair Meets Regression Testing—an Extensive Study on Two Million Patches

Yiling Lou, Jun Yang, Samuel Benton, Dan Hao, Lin Tan, Zhenpeng Chen, Lu Zhang, and Lingming Zhang

ACM Transactions on Software Engineering and Methodology, 2024
A Large-Scale Empirical Review of Patch Correctness Checking Approaches

Jun Yang, Yuehan Wang, Yiling Lou, Ming Wen, and Lingming Zhang

In Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023
Why Do Developers Remove Lambda Expressions in Java?

Mingwei Zheng, Jun Yang, Ming Wen, Hengcheng Zhu, Yepang Liu, and Hai Jin

In 2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2021