General

Li Yang

Associate Professor

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

ACL 2024 Reviewer 

IJCNN 2024 Technical Program Committee Member 

International Neural Network Society Member

Publications

   
Papers

*=Corresponding Author

[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): 0-0

[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  

现指导学生

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