About Me

Yingwei Ma (马迎伟) is a Technial Staff at RL Team @ Moonshot AI. His research focuses on Software Engineering and Large Language Model. He publishes papers and serves as a program committee for various leading conferences such as ICML/ICLR/NeurIPS. Currently, he focuses on using agent techniques (or Agentic LLM) to solve end-to-end software engineering problems.

News

• [2025.06] Introducing Kimi-Dev: A Strong and Open-source Coding LLM for Issue Resolution. [Github] [Huggingface]
• [2025.06] I won the ACM SIGSOFT Distinguished Paper Award.
• [2025.03] One patent on code processing method has been published.
• [2025.03] Alibaba LingmaAgent has been accepted by FSE’25 Industry.
• [2025.01] One paper has been accepted by ICLR’25.
• [2025.01] Two patents on code processing and intelligent software development methods have been published.
• [2024.12] One paper has been accepted by ISSTA’25.
• [2024.09] One paper has been accepted by NeurIPS’24.
• [2024.06] Alibaba Lingma Agent obtained SOTA on SWE-Bench Lite.
• [2024.01] One paper has been accepted by ICLR’24 (Spotlight, top 5%).
• [2023.05] One paper has been accepted by Internetware’23.
• [2023.03] I won the IEEE TCSE Distinguished Paper Award.
• [2023.03] Two papers have been accepted by SANER’23.
• [2022.09] I won the Outstanding Students of the School of Computer Science, National University of Defense Technology.

Publication

Preprints:

• [arxiv'25] Yingwei Ma, Binhua Li, Yihong Dong, Xue Jiang, Rongyu Cao, Fei Huang, Yongbin Li, Thinking Longer, Not Larger: Enhancing Software Engineering Agents via Scaling Test-Time Compute. arXiv preprint arXiv:2503.23803. [paper]

• [arxiv'25] Bo Yang, Qingping Yang, Yingwei Ma, Runtao Liu, UTMath: Math Evaluation with Unit Test via Reasoning-to-Coding Thoughts. arXiv preprint arXiv:2411.07240. [paper]

• [arxiv'24] Yalan Lin, Yingwei Ma, Rongyu Cao, Binhua Li, Fei Huang, Xiaodong Gu, Yongbin Li, LLMs as Continuous Learners: Improving the Reproduction of Defective Code in Software Issues. arXiv preprint arXiv:2411.13941. [paper]

• [arxiv'24] Zhenyu Pan, Rongyu Cao, Yongchang Cao, Yingwei Ma, Binhua Li, Fei Huang, Han Liu, Yongbin Li, Codev-Bench: How Do LLMs Understand Developer-Centric Code Completion?. arXiv preprint arXiv:2410.01353. [paper]

Peer-Reviewed:

• [FSE'25] Yingwei Ma, Qingping Yang, Rongyu Cao, Binhua Li, Fei Huang, Yongbin Li, Alibaba LingmaAgent: Improving Automated Issue Resolution via Comprehensive Repository Exploration. arXiv preprint arXiv:2406.01422. FSE’25, CCF-A. Accepted as an Industry Full Paper. [paper]

• [ISSTA'25] Yingwei Ma, Rongyu Cao, Yongchang Cao, Yue Zhang, Jue Chen, Yibo Liu, Yuchen Liu, Binhua Li, Fei Huang, Yongbin Li, Lingma SWE-GPT: An Open Development-Process-Centric Language Model for Automated Software Improvement. The ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA’25), CCF-A. (ACM SIGSOFT Distinguished Paper Award) [paper]

• [ICLR'24 Spotlight] Yingwei Ma, Yue Liu, Yue Yu, Yuanliang Zhang, Yu Jiang, Changjian Wang, Shanshan Li, At Which Training Stage Does Code Data Help LLMs Reasoning?. The 12th International Conference on Learning Representations (ICLR-24) , Vienna Austria, May 7th-11th, 2024. (Spotlight, top 5%) [paper]

• [SANER'23] Yingwei Ma, Yue Yu, Shanshan Li, Zhouyang Jia, Jun Ma, Rulin Xu, Wei Dong and Xiangke Liao, MulCS: Towards a Unified Code Representation for Multilingual Code Search. 30th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), Macao SAR, China, March 21st-24th, 2023.(IEEE TCSE Distinguished Paper Award) [paper]

• [ICLR'25] Jie Cheng, Ruixi Qiao, Yingwei Ma, Gang Xiong, Qinghai Miao, Binhua Li, Yongbin Li, Yisheng Lv, Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining. The Thirteenth International Conference on Learning Representations (ICLR-25) [paper]

• [ICML'25] Yue Liu, Xiaoxin He, Miao Xiong, Yingwei Ma, Jiaheng Zhang, Bryan Hooi, FLIPATTACK: JAILBREAK LLMS VIA FLIPPING. (ICML-25) [paper]

• [NeurIPS'24] Yue Liu, Shihao Zhu, Jun Xia, Yingwei Ma, Jian Ma, Wenliang Zhong, Xinwang Liu, Guannan Zhang, Kejun Zhang, End-to-end learnable clustering for intent learning in recommendation. The 38th Annual Conference on Neural Information Processing Systems (NeurIPS-24) [paper]

Patents

• [2025] Yingwei Ma. 异常数据复现方法以及异常代码复现方法 (Abnormal data reproduction method and abnormal code reproduction method). Patent Application No. CN119166410B, Alibaba (China) Co., Ltd. (Application Date: 2025.02.14, Publication Date: 2025.02.14)
• [2024] Yingwei Ma. 代码处理方法以及代码修复测试方法 (Code Processing Method and Code Repair Testing Method). Patent Application No. CN118760612A, Alibaba (China) Co., Ltd. (Application Date: 2024.09.04, Publication Date: 2024.10.11)
• [2024] Yingwei Ma. 代码处理模型训练、代码任务处理以及代码开发方法 (Code Processing Model Training, Code Task Processing and Code Development Method). Patent Application No. CN118860900A, Alibaba (China) Co., Ltd. (Application Date: 2024.09.19, Publication Date: 2024.10.29)

Education

• [2021.9-2023.12]

  M.E. in National University of Defense Technology (NUDT).

  Supervisor: Prof. Shanshan Li

• [2017.9-2021.6]

  B.E. in Yanshan University(YSU) at Qinhuangdao, Hebei Province.

  Supervisor: Prof. Fengda Zhao

Academic Service

• Program committee for EXPRESS@ISSTA’25
• Reviewer for ICML’25, ICLR’25, NeurIPS’25
• Reviewer for NeurIPS’24, ICLR’24
• Reviewer for EMNLP’23