Xin Yin (殷鑫) is the fourth-year Ph.D. student at Zhejiang University, supervised by Prof. Chao Ni. I was grateful to intern or collaborate at ByteDance, Tongyi Lab, and MSRA. I was the core developer of the Code Genesis project in MS-Agent (ModelScope Team, Tongyi Lab) . My research interest includes Large Language Model, Software Testing, and Coding Agent. I have published papers at the top international conferences such as FSE/ISSTA/ICSE/ASE/CVPR/EMNLP/AAAI. I developed a few well-known approaches including:
- SVulD (FSE’23) and MVulD (TOSEM’25): Vulnerability Detection
- [1] (TSE’24) and [2] (EMSE’25): Empirical Study of Vulnerability
- CodeGPTSensor+: LLM-generated Code Detection
- ThinkRepair (ISSTA’24) and ReduceFix (ICSE’26): Program Repair
- Rectifier and RepoTransAgent: Code Translation
- AUGER (ICSE’25), RATester (ASE’25), CasModaTest (ISSRE’25), and JUnitGenie (ASE’25, ICSE’26 Demos): Unit Test Generation
- SolEval (EMNLP’25) and PrefGen (ASE’25): Smart Contract Generation
- READ (CVPR’25) and UGround: Reasoning Segmentation
- SepPrune (AAAI’26): Speech Separation
- CodeGenesis and RepoGenesis: Coding Agent
In 2026, I will lead or participate in the following research topics:
- Software Testing: Unit Test Generation
- Large Language Models (LLMs): Coding Agent
- Lightweight Training Framework
🔥 News
- 2026.02: 🎉 We released Code Genesis project in MS-Agent (ModelScope Team, Tongyi Lab)
!
- 2025.12: 🎉 One paper was accepted by JSS 2025!
- 2025.12: 🎉 One paper was accepted by ICSE 2026!
- 2025.11: 🎉 One paper was accepted by AAAI 2026!
- 2025.10: 🎉 I am awarded National Scholarship!
- 2025.09: 🎉 Two papers were accepted by ASE 2025!
- 2025.09: 🎉 One paper was accepted by EMSE 2025!
- 2025.08: 🎉 Two papers were accepted by EMNLP 2025 Main!
- 2025.08: 🎉 One paper was accepted by ASE 2025!
- 2025.06: 🎉 I am funded by Zhejiang University’s Program for Cultivating Outstanding Doctoral Dissertations!
- 2025.04: 🎉 One paper was accepted by TOSEM 2025!
- 2025.02: 🎉 One paper was accepted by CVPR 2025!
- 2024.10: 🎉 One paper was accepted by ICSE 2025!
- 2024.09: 🎉 One paper was accepted by TSE 2024!
- 2024.07: 🎉 One paper was accepted by ISSTA 2024!
- 2023.05: 🎉 One paper was accepted by FSE 2023!
📝 Publications
# denotes co-first author or first student author
Representative papers: 11 CCF-A papers, 2 TH-CPL-A papers, 2 JCR-Q1 papers
Selected Publications
- Improving the Ability of Pre-trained Language Model by Imparting Large Language Model’s Experience.
Xin Yin, Chao Ni, Xinrui Li, Xiaohu Yang.
In Journal of Systems and Software (JSS’25). (JCR-Q1) - Enhancing LLM’s Ability to Generate More Repository-Aware Unit Tests Through Precise Context Injection.
Xin Yin, Chao Ni, Xinrui Li, Liushan Chen, Guojun Ma, Xiaohu Yang.
In Proceedings of the 40th IEEE/ACM Automated Software Engineering Conference (ASE’25). (CCF-A) - Learning-based Models for Vulnerability Detection: An Extensive Study.
Chao Ni, Xin Yin#, Liyu Shen, Shaohua Wang.
In Empirical Software Engineering (EMSE’25). (JCR-Q1) - Abundant Modalities Offer More Nutrients: Multi-Modal-Based Function-level Vulnerability Detection.
Chao Ni, Xin Yin#, Xinrui Li, Xiaodan Xu, Zhi Yu.
In ACM Transactions on Software Engineering and Methodology (TOSEM’25). (CCF-A) - What You See Is What You Get: Attention-based Self-guided Automatic Unit Test Generation.
Xin Yin, Chao Ni, Xiaodan Xu, Xiaohu Yang.
In Proceedings of the 47th IEEE/ACM International Conference on Software Engineering (ICSE’25). (CCF-A) - Multitask-based Evaluation of Open-Source LLM on Software Vulnerability.
Xin Yin, Chao Ni, Shaohua Wang.
In IEEE Transactions on Software Engineering (TSE’24). (CCF-A) - ThinkRepair: Self-Directed Automated Program Repair.
Xin Yin, Chao Ni, Shaohua Wang, Zhenhao Li, Limin Zeng, Xiaohu Yang.
In Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA’24). (CCF-A) - Distinguishing Look-Alike Innocent and Vulnerable Code by Subtle Semantic Representation Learning and Explanation.
Chao Ni, Xin Yin#, Kaiwen Yang, Dehai Zhao, Zhenchang Xing, Xin Xia.
In Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (FSE’23). (CCF-A)
Selected Collaborative Publications
- Input Reduction Enhanced LLM-based Program Repair.
Boyang Yang, Luyao Ren, Xin Yin, Jiadong Ren, Haoye Tian, Shunfu Jin.
In Proceedings of the 48th IEEE/ACM International Conference on Software Engineering (ICSE’26). (CCF-A) - JUnitGenie: A Framework for Path-Sensitive Unit Test Generation with Large Language Models.
Dianshu Liao, Xin Yin, Shidong Pan, Chao Ni, Zhenchang Xing, Xiaoyu Sun.
In 48th IEEE/ACM International Conference on Software Engineering (ICSE’26 Demonstrations Track). (CCF-A) - SepPrune: Structured Pruning for Efficient Deep Speech Separation.
Yuqi Li, Kai Li, Xin Yin, Zhifei Yang, Junhao Dong, Zeyu Dong, Chuanguang Yang, Yingli Tian, Yao Lu.
In Proceedings of the 40th Annual AAAI Conference on Artificial Intelligence (AAAI’26). (CCF-A) - Navigating the Labyrinth: Path-Sensitive Unit Test Generation with Large Language Models.
Dianshu Liao, Xin Yin, Shidong Pan, Chao Ni, Zhenchang Xing, Xiaoyu Sun.
In Proceedings of the 40th IEEE/ACM Automated Software Engineering Conference (ASE’25). (CCF-A) - Pre-training CLIP against Data Poisoning with Optimal Transport-based Matching and Alignment.
Tong Zhang, Kuofeng Gao, Jiawang Bai, Leo Yu Zhang, Xin Yin, Zonghui Wang, Shouling Ji, Wenzhi Chen.
In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP’25 Main). (TH-CPL-A) - SolEval: Benchmarking Large Language Models for Repository-level Solidity Smart Contract Generation.
Zhiyuan Peng, Xin Yin#, Rui Qian, Peiqin Lin, YongKang Liu, Hao Zhang, Chenhao Ying, Yuan Luo.
In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP’25 Main). (TH-CPL-A) - PrefGen: A Preference-Driven Methodology for Secure Yet Gas-Efficient Smart Contract Generation.
Zhiyuan Peng, Xin Yin#, Zijie Zhou, Chenhao Ying, Chao Ni, Yuan Luo.
In Proceedings of the 40th IEEE/ACM Automated Software Engineering Conference (ASE’25). (CCF-A) - Reasoning to Attend: Try to Understand How <SEG> Token Works.
Rui Qian, Xin Yin, Dejing Dou.
In Proceedings of the 2025 IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR’25). (CCF-A)
🎖 Honors and Awards
- 2025.10, 浙江大学国家奖学金 (National Scholarship)
- 2025.06, 浙江大学争创优秀博士学位论文资助
💬 Academic Services
- Journal Reviewer: IEEE Transactions on Software Engineering (TSE), Automated Software Engineering (ASE)
- Conference Reviewer: ICSE 2026 (Shadow PC), AAAI 2026 (PC), ICLR 2026