Xin Yin (殷鑫) is the third-year Ph.D. student at Zhejiang University, supervised by Prof. Chao Ni. I also obtained Bachelor’s degree at Central South University.

My research interest includes Large Language Model, Software Testing, and Software Security. I have published papers at the top international conferences such as FSE/ISSTA/ICSE/CVPR. I developed a few well-known approaches including:

• SVulD and MVulD: Vulnerability Detection
• CodeGPTSensor+: LLM-generated Code Detection
• ThinkRepair: Program Repair
• Rectifier: Code Translation
• AUGER and RATester: Unit Test Generation

In 2025, I will lead or participate in the following research topics:

• Software Testing: Unit Test Generation
• Large Language Models (LLMs): Knowledge Editing

🔥 News

• 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!

📝 Selected Publications

# denotes co-first author or first student author
Representative papers: 6 CCF-A papers

Peer-Reviewed

• Abundant Modalities Offer More Nutrients: Multi-Modal-Based Function-level Vulnerability Detection.
  Chao Ni, Xin Yin#, Xiaodan Xu.
  In ACM Transactions on Software Engineering and Methodology (TOSEM’25). (CCF-A)
• Reasoning to Attend: Try to Understand How <SEG> Token Works.
  Rui Qian, Xin Yin, Dejing Dou.
  In Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR’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)

Preprints

• Learning to Align Human Code Preferences.
  Xin Yin, Chao Ni, Liushan Chen, Xiaohu Yang, Arxiv
• Detecting LLM-generated Code with Subtle Modification by Adversarial Training.
  Xin Yin, Xinrui Li, Chao Ni, Xiaodan Xu, Xiaohu Yang, Arxiv
• Enhancing LLM’s Ability to Generate More Repository-Aware Unit Tests Through Precise Contextual Information Injection.
  Xin Yin, Chao Ni, Xinrui Li, Liushan Chen, Guojun Ma, Xiaohu Yang, Arxiv
• Improving the Ability of Pre-trained Language Model by Imparting Large Language Model’s Experience.
  Xin Yin, Chao Ni, Xinrui Li, Xiaohu Yang, Arxiv
• Rectifier: Code Translation with Corrector via LLMs.
  Xin Yin, Chao Ni, Tien N. Nguyen, Shaohua Wang, Xiaohu Yang, Arxiv
• Learning-based Models for Vulnerability Detection: An Extensive Study.
  Chao Ni, Xin Yin#, Liyu Shen, Xiaodan Xu, Shaohua Wang, Arxiv
• RepoTransAgent: Multi-Agent LLM Framework for Repository-Aware Code Translation.
  Ziqi Guan, Xin Yin#, Zhiyuan Peng, Chao Ni, Arxiv
• A Preference-Driven Methodology for High-Quality Solidity Code Generation.
  Zhiyuan Peng, Xin Yin#, Chenhao Ying, Chao Ni, Yuan Luo, Arxiv
• MulChain: Enabling Advanced Cross-Modal Queries in Hybrid-Storage Blockchains.
  Zhiyuan Peng, Xin Yin#, Gang Wang, Chenhao Ying, Chao Ni, Wei Chen, Xikun Jiang, Yibin Xu, Yuan Luo, Arxiv
• SolEval: Benchmarking Large Language Models for Repository-level Solidity Smart Contract Generation.
  Zhiyuan Peng, Xin Yin#, Rui Qian, Peiqin Lin, Yongkang Liu, Chenhao Ying, Yuan Luo, Arxiv
• 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, Arxiv
• Pros and Cons! Evaluating ChatGPT on Software Vulnerability.
  Xin Yin, Arxiv

💬 Academic Services

• Journal Reviewer: IEEE Transactions on Software Engineering (TSE), 2025.

📖 Educations

• 2022.09 - Present, Ph.D. student, Zhejiang University.
• 2018.09 - 2022.06, Bachelor, Central South University.

💻 Internships

• 2024.06 - Present, State Key Laboratory of Blockchain and Data Security, Hangzhou.
• 2023.07 - 2023.10, Software Engineering Application Technology Lab at Huawei, Hangzhou.