General

Li Yang

Professor-level Senior Engineer

Institute of Software, Chinese Academy of Sciences

Email: yangli2017@iscas.ac.cn

Research Areas

Intelligent method for software development, AI4SE & SE4AI, Blockchain

Education

PhD, Institute of Software, Chinese Academy of Sciences

Experience

Service

IEEE Transactions on Software Engineering Reviewer

IJCNN 2025 Technical Program Committee Member

MSR 2025 Program Committee Member

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


Publications

   
Selected Papers

*=Corresponding Author

[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. ETAPS 2025 International Joint Conferences On Theory and Practice of Software

[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.

 


Students

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  

现指导学生

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  

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