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Mingzhe Du — most-cited papers & profile · AI for Code
← authors
·
overview
Mingzhe Du
20
papers ·
55
citations ·
0
h-index
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Mercury: A Code Efficiency Benchmark for Code Large Language Models
2024 · 7 citations
CodeArena: A Collective Evaluation Platform for LLM Code Generation
2025 · 2 citations
Measuring the Influence of Incorrect Code on Test Generation
2024 · 2 citations
Secure Code Generation via Online Reinforcement Learning with Vulnerability Reward Model
2026
CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models
2026
SWE-Perf: Can Language Models Optimize Code Performance on Real-World Repositories?
2025
SWE-Perf: Can Language Models Optimize Code Performance on Real-World Repositories?
2025
EffiBench-X: A Multi-Language Benchmark for Measuring Efficiency of LLM-Generated Code
2025
Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization
2025
Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization
2025
Top co-authors
Qian Liu
· 6
See-Kiong Ng
· 6
Dong Huang
· 5
Xinyi He
· 4
Zejun Ma
· 4
Terry Yue Zhuo
· 3
Yue Liu
· 3
Yuhao Qing
· 3
Anh Tuan Luu
· 2
Bin Ji
· 2
Boyu Zhu
· 2
Jie M. Zhang
· 2
Topics
Code Generation
Code Models
Software Engineering
Testing
Code Translation
Program Repair
Bug Detection