Intelligent method for software development, AI4SE & SE4AI, Blockchain

PhD, Institute of Software, Chinese Academy of Sciences

DBLP page: https://dblp.org/pid/09/3925-15.html

Google scholar page: https://scholar.google.com/citations?user=KmQBU1IAAAAJ

Neurocomputing Reviewer

Journal of Systems Architecture Reviewer

MSR 2027 Program Committee Member

Pattern Recognition Reviewer

Information and Software Technology Reviewer

IEEE Transactions on Dependable and Secure Computing Reviewer

IJCNN 2027 Reviewer

China CDC Weekly Reviewer

Journal of Systems & Software Reviewer

ACM Transactions on Software Engineering and Methodology Reviewer

ACL ARR Area Chair

MSR 2026 Program Committee Member

IEEE TrustCom-2025 Program Committee Member

ACL 2025/EMNLP 2025 Reviewer

IEEE Transactions on Software Engineering Reviewer

IJCNN 2025 Technical Program Committee Member

MSR 2025 Program Committee Member, Distinguished Reviewer

IEEE TrustCom-2024 Program Committee Member

ACL 2024/EMNLP 2024/NAACL 2025 Reviewer 

WiNLP workshop @EMNLP 2024 Reviewer 

IJCNN 2024 Technical Program Committee Member 

International Neural Network Society Member

   

*=Corresponding Author #=Contributed Equally

[TOSEM 2026] Hang Yuan#, Lei Yu#, Zhirong Huang, Jingyuan Zhang, Shiqi Cheng, Li Yang*, Fengjun Zhang, Jiajia Ma, Chun Zuo. MOS: Towards Effective Smart Contract Vulnerability Detection through Mixture-of-Experts Tuning of Large Language Models. ACM Transactions on Software Engineering and Methodology, 2026

[JSS 2026] Xizhi Hou, Jiayue Tang, Zihan Hua, Yifei Liu, Hang Yuan, Li Yang*, Jiadong Xu, Fengjun Zhang, Chun Zuo. History Matters: Automatically Estimating Code Quality in Multi-round Reviews via Context-Aware Prompt-Tuning. The Journal of Systems & Software, Volume 244, February 2027,113110, https://doi.org/10.1016/j.jss.2026.113110.

[ASE 2026] Junyi Lu, Mengyao Lyu*, Jiahui Wu, Lei Yu, Chengwei Liu, Fengjun Zhang, Li Yang*, Chun Zuo, Yang Liu. ATLAS: Agentic Taxonomy of LArge-Scale Software Ecosystems.  In Proceedings of the 41st IEEE/ACM International Conference on Automated Software Engineering, pp. 386-397. 2026.

[TVCG 2026] X. Wang, J. Zhang, L. Yu, Z Huang, J. Ma, S. Cheng, Z. Zhou, X. Ma, J. Xu, P. Wang, L. Yang*, F. Zhang*. Strunkmap: An Abstract Approach to Understand Spatiotemporal Density Distribution. IEEE Transactions on Visualization and Computer Graphics. 32(7): 6889-6906 (2026)

[ISSTA 2026a] Y. Liu, X. Hou, L. Yang*, H. Liu, C. Zhu, F. Zhang, C. Zuo. E4R-Reviewer: Effective and Explainable Automated Code Review via End-to-End Reasoning-Guided Alignment. Proceedings of the ACM on Software Engineering, Volume 3, Issue ISSTA Article No.: ISSTA005, Pages 102 - 126 https://doi.org/10.1145/3832096.

[ISSTA 2026b] L. Yu, P. Wang, J. Xu, J. Zhang, X. Wang, J. Ma, L. Yang*, C. Deng, Z. Wang, F. Zhang*. BashCoder-R1: Towards Robust and Explainable Bash Script Generation with Robustness-Aware Group Relative Policy Optimization. Proceedings of the ACM on Software Engineering, Volume 3, Issue ISSTA Article No.: ISSTA003, Pages 54 - 76. https://doi.org/10.1145/3832094

[COMPSAC 2026] Jia Xu, Lei Yu, Peng Wang, Li Yang, Changzhi Deng, Dongxing Teng, Yusheng Liu and Fengjun Zhang. Stepwise PCTL Generation with Closed-Loop Validation for Automated SysML Activity Diagram Verification. The 50th IEEE Computers, Software, and Applications Conference.

[FSE 2026a] Yu, Lei, Jingyuan Zhang, Xin Wang, Li Yang*, Fengjun Zhang*, Peng Wang, Jia Xu, and Jiajia Ma. "Bash-Commenter: Leveraging Syntax-Aware Preference Optimization to Reinforce Large Language Model for Bash Code Comment Generation." Proceedings of the ACM on Software Engineering 3, no. FSE (2026): 2117-2140.

[FSE 2026b] Yu, Lei, Jingyuan Zhang, Xin Wang, Li Yang*, Fengjun Zhang*, and Jiajia Ma. "Smartcoder-r1: Towards secure and explainable smart contract generation with security-aware group relative policy optimization." Proceedings of the ACM on Software Engineering 3, no. FSE (2026): 2165-2188.

[ICPC 2026] L. Yu, P. Wang, J. Zhang, X.Wang, J. Xu, L. Yang*, C. Deng, J. Ma, F. Zhang*. SQL-Commenter: Aligning Large Language Models for SQL Comment Generation with Direct Preference Optimization. The 34th IEEE/ACM International Conference on Program Comprehension.

[AAAI 2026] Zhang, J., Wang, X., Yu, L., Yang, L*., & Zhang, F*. (2026). Binary Message Passing for Generalizable Semi-Supervised Graph Anomaly Detection. Proceedings of the AAAI Conference on Artificial Intelligence, 40(19), 16334-16342. https://doi.org/10.1609/aaai.v40i19.38671

[ASE 2025] Hang Yuan, Xizhi Hou, Lei Yu, Li Yang*, Jiayue Tang, Jiadong Xu, Yifei Liu, Fengjun Zhang, Chun Zuo. Leveraging Mixture-of-Experts Framework for Smart Contract Vulnerability Repair with Large Language Model. The 40th IEEE/ACM International Conference on Automated Software Engineering.

[NeurIPS 2025] Zhang, Jingyuan, Xin Wang, Lei Yu, Zhirong Huang, Li Yang*, and Fengjun Zhang*. "Restricted Global-Aware Graph Filters Bridging GNNs and Transformer for Node Classification." Advances in Neural Information Processing Systems 38 (2026): 162403-162429.

[ISSRE 2025a] Jiayue Tang, Li Yang*, Lei Yu, Junyi Lu, Zhirong Huang, Fengjun Zhang and Chun Zuo. Breaking Task Isolation: Enhancing Code Review Automation with Mixture-of-Experts Large Language Models. In 2025 IEEE 36th International Symposium on Software Reliability Engineering (ISSRE), pp. 227-238. IEEE, 2025.

[ISSRE 2025b] Shiqi Cheng, Chenjie Shen, Li Yang*, Lei Yu, Fengjun Zhang and Chun Zuo. AUVANA: An Efficient and Automatic Approach to Variable Rename Refactoring via Large Pre-trained Language Model. In 2025 IEEE 36th International Symposium on Software Reliability Engineering (ISSRE), pp. 288-299. IEEE, 2025.

[TKDD 2025] Jingyuan Zhang, Lei Yu, Zhirong Huang, Li Yang*, Fengjun Zhang*. Topology Augmented Multi-Band and Multi-Scale Filtering for Graph Anomaly Detection. ACM Transactions on Knowledge Discovery from Data 19, no. 8 (2025): 1-27. https://doi.org/10.1145/3748727

[SEKE 2025] Yifei Liu, Junyi Lu, Li Yang*, Yang Wang, Zheng Zhang, Xiaoxiao Ma, Jiajia Ma, Fengjun Zhang, Chun Zuo. EXE-Reviewer: Towards EXplainable and Effective Review Comments Generation. The 37th International Conference on Software Engineering & Knowledge Engineering(SEKE 2025).

[ICSME 2025] Lei Yu#, Shiqi Cheng#, Zhirong Huang, Jingyuan Zhang, Chenjie Shen, Junyi Lu, Li Yang*, Fengjun Zhang*, Jiajia Ma. SAEL: Leveraging Large Language Models with Adaptive Mixture-of-Experts for Smart Contract Vulnerability Detection. 41st IEEE International Conference on Software Maintenance and Evolution.

[ICML 2025 spotlight] Junyi Lu, Lili Jiang, Xiaojia Li, Jianbing Fang, Fengjun Zhang, Li Yang*, Chun Zuo. Towards Practical Defect-Focused Automated Code Review. Forty-second International Conference on Machine Learning.

[ISSTA 2025] Lei Yu, Zhirong Huang, Hang Yuan, Shiqi Cheng, Li Yang*, Fengjun Zhang*, Chenjie Shen, Jiajia Ma, Jingyuan Zhang, Junyi Lu, Chun Zuo. Smart-LLaMA-DPO: Reinforced Large Language Model for Explainable Smart Contract Vulnerability Detection. Proceedings of the ACM on Software Engineering, Volume 2, Issue ISSTA, Article No.: ISSTA009, Pages 182 – 205. https://doi.org/10.1145/3728878

[FASE@ETAPS 2025] Junyi Lu, Xiaojia Li, Zihan Hua, Lei Yu, Shiqi Cheng, Li Yang*, Fengjun Zhang, Chun Zuo. DeepCRCEval: Revisiting the Evaluation of Code Review Comment Generation, In: Boronat, A., Fraser, G. (eds) Fundamental Approaches to Software Engineering. FASE 2025. 43-64. Lecture Notes in Computer Science, vol 15693. Springer, Cham. https://doi.org/10.1007/978-3-031-90900-9_3

[ASEJ 2024] Junyi Lu, Zhangyi Li, Chenjie Shen, Li Yang*, Chun Zuo. Exploring the Impact of Code Review Factors on the Code Review Comment Generation, Automated Software Engineering 31(2): 71 (2024). https://doi.org/10.1007/s10515-024-00469-2

[IJCNN 2024] C. Shen, J. Zhu, L. Yu, L. Yang* and C. Zuo, "Dependency-Aware Method Naming Framework with Generative Adversarial Sampling," 2024 International Joint Conference on Neural Networks (IJCNN), Yokohama, Japan, 2024, pp. 1-8, doi: 10.1109/IJCNN60899.2024.10651109.

[JOS 2024] HUA Zi-Han, YANG Li*, LU Jun-Yi, ZUO Chun. Survey of Code Review Automation Research. Ruan Jian Xue Bao/Journal of Software, 2024,35(7):3265-3290

[ISSRE 2023a] Junyi Lu, Lei Yu, Li Yang*, Xiaojiao Li, Chun Zuo. LLaMA-Reviewer: Advancing Code Review Automation with Large Language Models through Parameter-Efficient Fine-Tuning, 2023 IEEE 34th International Symposium on Software Reliability Engineering (ISSRE), Florence, Italy, 2023, pp. 647-658, doi: 10.1109/ISSRE59848.2023.00026.

[ISSRE 2023b] Lei Yu, Junyi Lu, Xianglong Liu, Li Yang*, Fengjun Zhang, Jiajia Ma. PSCVFinder: A Prompt-Tuning Based Framework for Smart Contract Vulnerability Detection, 2023 IEEE 34th International Symposium on Software Reliability Engineering (ISSRE), Florence, Italy, 2023, pp. 556-567, doi: 10.1109/ISSRE59848.2023.00030

[IJCNN 2023a] Yuan zhe Yang, Li Yang*, Lingwei Li, Xiaoxiao Ma, Lei Yu and Chun Zuo. DccGraph: Detecting Criminal Communities with Augmented Criminal Network Construction and Graph Neural Network, 2023 International Joint Conference on Neural Networks (IJCNN), Gold Coast, Australia, 2023, pp. 1-8, doi: 10.1109/IJCNN54540.2023.10191121.

[IJCNN 2023b] Lei Yu, Feng jun Zhang, Jia jia Ma, Li Yang* and Yuan zhe Yang. Who are the Money Launderers? Money Laundering Detection on Blockchain via Mutual Learning-Based Graph Neural Network, 2023 International Joint Conference on Neural Networks (IJCNN), Gold Coast, Australia, 2023, pp. 1-8, doi: 10.1109/IJCNN54540.2023.10191217.

[SEKE 2023] Zeshan Xu, Jie Zhu, Li Yang* and Chun Zuo. Mining the Relationship between Object-Relational Mapping Performance Anti-patterns and Code Clones, The 35th International Conference on Software Engineering & Knowledge Engineering(SEKE 2023)

[ICPC 2023] J. Zhu, L. Li, L. Yang*, X. Ma and C. Zuo, "Automating Method Naming with Context-Aware Prompt-Tuning," in 2023 IEEE/ACM 31st International Conference on Program Comprehension (ICPC), Melbourne, Australia, 2023 pp. 203-214. doi: 10.1109/ICPC58990.2023.00035

[ESEC/FSE 2022] Lingwei Li, Li Yang*, Huaxi Jiang, Jun Yan, Tiejian Luo, Zihan Hua, Geng Liang, and Chun Zuo. 2022. AUGER: automatically generating review comments with pre-training models. In Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2022). Association for Computing Machinery, New York, NY, USA, 1009–1021. https://doi.org/10.1145/3540250.3549099

[COMPSAC 2022] M. Li, L. Yang*, Q. Xia, M. Fang, G. Liang and C. Zuo, "STPChain: a Crowdsourced Software Engineering Method for Software Traceability and Fine-grained Privacy Based on Blockchain," 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC), Los Alamitos, CA, USA, 2022, pp. 849-859, doi: 10.1109/COMPSAC54236.2022.00135.

[APSEC 2021] H. Jiang, J. Zhu, L. Yang*, G. Liang and C. Zuo, "DeepRelease: Language-agnostic Release Notes Generation from Pull Requests of Open-source Software," 2021 28th Asia-Pacific Software Engineering Conference (APSEC), Taipei, Taiwan, 2021, pp. 101-110, doi: 10.1109/APSEC53868.2021.00018.

已指导学生

李梦晗  硕士研究生  083500-软件工程  

杨远哲  硕士研究生  083500-软件工程  

祝捷  硕士研究生  083500-软件工程  

花子涵  硕士研究生  083500-软件工程  

唐嘉玥  硕士研究生  083500-软件工程  

现指导学生

刘一飞  硕士研究生  085405-软件工程  

侯熙致  硕士研究生  083500-软件工程  

徐嘉栋  硕士研究生  085400-电子信息  

刘桓  硕士研究生  085405-软件工程  

朱辰  硕士研究生  083500-软件工程