Yingwei Ma

According to our database, Yingwei Ma authored at least 34 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation.

Jia Feng, Zhanyue Qin, Cuiyun Gao, Ruiqi Wang, Chaozheng Wang, Yingwei Ma, Xiaoyuan Xie

CoRR, April, 2026

Scaling Coding Agents via Atomic Skills.

Yingwei Ma, Yue Liu, Xinlong Yang, Yanhao Li, Kelin Fu, Yibo Miao, Yuchong Xie, Zhexu Wang, Shing-Chi Cheung

CoRR, April, 2026

DockSmith: Scaling Reliable Coding Environments via an Agentic Docker Builder.

Jiaran Zhang, Luck Ma, Yanhao Li, Fanqi Wan, Di Qi, Xu Zhao, Jieyi Hou, Zhe Xie, Mengqiang Ren, Xin Wu, Zhewei Huang, Liangyu Chen, Yingwei Ma, Qi Han, Xiangyu Zhang

CoRR, February, 2026

ExtendAttack: Attacking Servers of LRMs via Extending Reasoning.

Zhenhao Zhu, Yue Liu, Zhiwei Xu, Yingwei Ma, Hongcheng Gao, Nuo Chen, Yanpei Guo, Wenjie Qu, Huiying Xu, Zifeng Kang, Xinzhong Zhu, Jiaheng Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Large Language Model Unlearning for Source Code.

Xue Jiang, Yihong Dong, Huangzhao Zhang, Tangxinyu Wang, Zheng Fang, Yingwei Ma, Rongyu Cao, Binhua Li, Zhi Jin, Wenpin Jiao, Yongbin Li, Ge Li

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Multi-Docker-Eval: A 'Shovel of the Gold Rush' Benchmark on Automatic Environment Building for Software Engineering.

Kelin Fu, Tianyu Liu, Zeyu Shang, Yingwei Ma, Jian Yang, Jiaheng Liu, Kaigui Bian

CoRR, December, 2025

Kimi-Dev: Agentless Training as Skill Prior for SWE-Agents.

Zonghan Yang, Shengjie Wang, Kelin Fu, Wenyang He, Weimin Xiong, Yibo Liu, Yibo Miao, Bofei Gao, Yejie Wang, Yingwei Ma, Yanhao Li, Yue Liu, Zhenxing Hu, Kaitai Zhang, Shuyi Wang, Huarong Chen, Flood Sung, Yang Liu, Yang Gao, Zhilin Yang, Tianyu Liu

CoRR, September, 2025

RL-PLUS: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy Optimization.

Yihong Dong, Xue Jiang, Yongding Tao, Huanyu Liu, Kechi Zhang, Lili Mou, Rongyu Cao, Yingwei Ma, Jue Chen, Binhua Li, Zhi Jin, Fei Huang, Yongbin Li, Ge Li

CoRR, August, 2025

Format-Adapter: Improving Reasoning Capability of LLMs by Adapting Suitable Format.

Dingzirui Wang, Xuanliang Zhang, Rongyu Cao, Longxu Dou, Xianzhen Luo, Yingwei Ma, Qingfu Zhu, Wanxiang Che, Binhua Li, Fei Huang, Yongbin Li

CoRR, June, 2025

Large Language Model Unlearning for Source Code.

Xue Jiang, Yihong Dong, Zheng Fang, Yingwei Ma, Tangxinyu Wang, Rongyu Cao, Binhua Li, Zhi Jin, Wenpin Jiao, Yongbin Li, Ge Li

CoRR, June, 2025

ExtendAttack: Attacking Servers of LRMs via Extending Reasoning.

Zhenhao Zhu, Yue Liu, Yingwei Ma, Hongcheng Gao, Nuo Chen, Yanpei Guo, Wenjie Qu, Huiying Xu, Xinzhong Zhu, Jiaheng Zhang

CoRR, June, 2025

Efficient Reasoning via Chain of Unconscious Thought.

Ruihan Gong, Yue Liu, Wenjie Qu, Mingzhe Du, Yufei He, Yingwei Ma, Yulin Chen, Xiang Liu, Yi Wen, Xinfeng Li, Ruidong Wang, Xinzhong Zhu, Bryan Hooi, Jiaheng Zhang

CoRR, May, 2025

Thinking Longer, Not Larger: Enhancing Software Engineering Agents via Scaling Test-Time Compute.

Yingwei Ma, Binhua Li, Yihong Dong, Xue Jiang, Rongyu Cao, Jue Chen, Fei Huang, Yongbin Li

CoRR, March, 2025

SWE-GPT: A Process-Centric Language Model for Automated Software Improvement.

Yingwei Ma, Rongyu Cao, Yongchang Cao, Yue Zhang, Jue Chen, Yibo Liu, Yuchen Liu, Binhua Li, Fei Huang, Yongbin Li

Proc. ACM Softw. Eng., 2025

Alibaba LingmaAgent: Improving Automated Issue Resolution via Comprehensive Repository Exploration.

Yingwei Ma, Qingping Yang, Rongyu Cao, Binhua Li, Fei Huang, Yongbin Li

Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, 2025

Thinking Longer, Not Larger: Enhancing Software Engineering Agents via Scaling Test-Time Compute.

Yingwei Ma, Yongbin Li, Yihong Dong, Xue Jiang, Yanhao Li, Yue Liu, Rongyu Cao, Jue Chen, Fei Huang, Binhua Li

Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

FlipAttack: Jailbreak LLMs via Flipping.

Yue Liu, Xiaoxin He, Miao Xiong, Jinlan Fu, Shumin Deng, Yingwei Ma, Jiaheng Zhang, Bryan Hooi

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining.

Jie Cheng, Ruixi Qiao, Yingwei Ma, Binhua Li, Gang Xiong, Qinghai Miao, Yongbin Li, Yisheng Lv

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

UTMath: A Benchmark for Math Evaluation with Unit Test.

Bo Yang, Qingping Yang, Yingwei Ma, Runtao Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Safety in Large Reasoning Models: A Survey.

Cheng Wang, Yue Liu, Baolong Bi, Duzhen Zhang, Zhong-Zhi Li, Yingwei Ma, Yufei He, Shengju Yu, Xinfeng Li, Junfeng Fang, Jiaheng Zhang, Bryan Hooi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

LLMs as Continuous Learners: Improving the Reproduction of Defective Code in Software Issues.

Yalan Lin, Yingwei Ma, Rongyu Cao, Binhua Li, Fei Huang, Xiaodong Gu, Yongbin Li

CoRR, 2024

Lingma SWE-GPT: An Open Development-Process-Centric Language Model for Automated Software Improvement.

Yingwei Ma, Rongyu Cao, Yongchang Cao, Yue Zhang, Jue Chen, Yibo Liu, Yuchen Liu, Binhua Li, Fei Huang, Yongbin Li

CoRR, 2024

In-Context Transfer Learning: Demonstration Synthesis by Transferring Similar Tasks.

Dingzirui Wang, Xuangliang Zhang, Qiguang Chen, Longxu Dou, Xiao Xu, Rongyu Cao, Yingwei Ma, Qingfu Zhu, Wanxiang Che, Binhua Li, Fei Huang, Yongbin Li

CoRR, 2024

Codev-Bench: How Do LLMs Understand Developer-Centric Code Completion?

Zhenyu Pan, Rongyu Cao, Yongchang Cao, Yingwei Ma, Binhua Li, Fei Huang, Han Liu, Yongbin Li

CoRR, 2024

How to Understand Whole Software Repository?

Yingwei Ma, Qingping Yang, Rongyu Cao, Binhua Li, Fei Huang, Yongbin Li

CoRR, 2024

Online Differentiable Clustering for Intent Learning in Recommendation.

Yue Liu, Shihao Zhu, Jun Xia, Yingwei Ma, Jian Ma, Wenliang Zhong, Guannan Zhang, Kejun Zhang, Xinwang Liu

CoRR, 2024

End-to-end Learnable Clustering for Intent Learning in Recommendation.

Yue Liu, Shihao Zhu, Jun Xia, Yingwei Ma, Jian Ma, Xinwang Liu, Shengju Yu, Kejun Zhang, Wenliang Zhong

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

At Which Training Stage Does Code Data Help LLMs Reasoning?

Yingwei Ma, Yue Liu, Yue Yu, Yuanliang Zhang, Yu Jiang, Changjian Wang, Shanshan Li

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Language-Enhanced Session-Based Recommendation with Decoupled Contrastive Learning.

Zhipeng Zhang, Piao Tong, Yingwei Ma, Qiao Liu, Xujiang Liu, Xu Luo

CoRR, 2023

MulCS: Towards a Unified Deep Representation for Multilingual Code Search.

Yingwei Ma, Yue Yu, Shanshan Li, Zhouyang Jia, Jun Ma, Rulin Xu, Wei Dong, Xiangke Liao

Proceedings of the IEEE International Conference on Software Analysis, 2023

Automatic Code Annotation Generation Based on Heterogeneous Graph Structure.

Zhijie Jiang, Haixu Xiong, Yingwei Ma, Yao Zhang, Yan Ding, Yun Xiong, Shanshan Li

Proceedings of the IEEE International Conference on Software Analysis, 2023

A Two-Stage Framework for Ambiguous Classification in Software Engineering.

Jiaying Li, Yan Lei, Shanshan Li, Haifang Zhou, Yue Yu, Zhouyang Jia, Yingwei Ma, Teng Wang

Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

Towards Better Multilingual Code Search through Cross-Lingual Contrastive Learning.

Xiangbing Huang, Yingwei Ma, Haifang Zhou, Zhijie Jiang, Yuanliang Zhang, Teng Wang, Shanshan Li

Proceedings of the 14th Asia-Pacific Symposium on Internetware, 2023

2022

Accelerating OCR-Based Widget Localization for Test Automation of GUI Applications.

Ju Qian, Yingwei Ma, Chenghao Lin, Lin Chen

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022