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

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

[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. The 41th IEEE/ACM International Conference on Automated Software Engineering.

[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. The 35th SIGSOFT International Symposium on Software Testing and Analysis.

[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. The 35th SIGSOFT International Symposium on Software Testing and Analysis.

[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