About Me

Dr. Ye Wang
Associate Professor
School of Computer Science and Technology
Zhejiang Gongshang University (ZJGSU)（浙江工商大学）
Address: 18# Xuezheng Street, Hangzhou 310018, Zhejiang, China

Email:  yewang [at] zjgsu.edu.cn
Github: https://github.com/YeWang2025/


Ye Wang is an Associate Professor in the School of Computer Science and Technology at Zhejiang Gongshang University, a member of the China Computer Federation (CCF), and an executive committee member of the Software Engineering Special Committee. She graduated from Zhejiang University with a Bachlor in Software Engineering and PhD degree in Computer Science and Technology. Her main research areas include intelligent software engineering, artificial intelligence, natural language processing, and service computing. She has led projects funded by the National Natural Science Foundation of China, Zhejiang Provincial Natural Science Foundation, and the Tongxiang Artificial Intelligence Research Institute of Zhejiang Province. She has also been a key contributor to more than ten national and provincial-level research projects. She has published over 40 papers in journals such as IJHCS, SCIS, REJ, IST, IoT, JSEP and so on.

Last modified: 10/09/2025

What's New

Publications

Journal Publications

  1. CCF A [TSE'25] Hydra-Reviewer: A Holistic Multi-Agent System for Automatic Code Review Comment Generation.
    Xiaoxue Ren, Chaoqun Dai, Qiao Huang, Ye Wang, Chao Liu, Bo Jiang.
    IEEE Transactions on Software Engineering, 2025. DOI: 10.1109/TSE.2025.3621462
  2. CCF B[REJ] Enhancing Requirements Traceability Links Recovery: A Novel Approach with T-SimCSE.
    Y. Wang, W Wang, K Hu, Q Huang, L Zhao.
    （accepted）
  3. CCF B [JSEP'25] Why Not Fix This Bug? Characterizing and Identifying Bug‐Tagged Issues That Are Truly Fixed by Developers.
    Ye Wang, Zhengru Han, Qiao Huang, Bo Jiang.
    Journal of Software: Evolution and Process, 2025.DOI: 10.1002/smr.70008
  4. CCF B [JSEP'25] Exploring ChatGPT's Potential in Java API Method Recommendation: An Empirical Study.
    Y. Wang, W. Xue, Q. Huang, B. Jiang, Hua Zhang.
    Journal of Software: Evolution and Process, 2025. DOI: 10.1002/smr.2765
  5. CCF B[Neural Networks'24] MV-SHIF: Multi-view symmetric hypothesis inference fusion network for emotion-cause pair extraction in documents.
    Cheng Yang, Hua Zhang, Bi Chen, Bo Jiang, Ye Wang.
    Neural Networks, 2024, 175: 106283.
  6. JCR Q1[ESWA'24] A deep learning-based approach to similarity calculation for UML use case models.
    S Song,Y Wang, X Wang, et al.
    Expert Systems with Applications, 2024, 251: 123927.
  7. JCR Q2[Engineering Applications of Artificial Intelligence'24] Query-induced multi-task decomposition and enhanced learning for aspect-based sentiment quadruple prediction.
    Hua Zhang, Xiawen Song, Xiaohui Jia, Zeqi Chen, Bi Chen, Bo Jiang, Ye Wang.
    Engineering Applications of Artificial Intelligence, 2024, 133: 108609.
  8. CCF A[SCIS'23] Deep learning-based open API recommendation for Mashup development.
    Ye Wang, J Chen, Q Huang, et al.
    Science China Information Sciences, 2023, 66: 172102.
  9. CCF B[Information and Software Technology'23] PAREI: A progressive approach for Web API recommendation by combining explicit and implicit information.
    Y Wang, A Zhou, Q Huang, et al.
    Information and Software Technology, 2023, 162: 107269. DOI: 10.1016/j.infsof.2023.107269
  10. CCF B[IEEE Internet of Things Journal'23] PPMM-DA: Privacy-Preserving Multidimensional and Multisubset Data Aggregation With Differential Privacy for Fog-Based Smart Grids.
    Shuai Zhao, Shuhua Xu, Song Han, Siqi Ren,Ye Wang, et al.
    IEEE Internet of Things Journal, 2023, 11(4): 6096-6110.
  11. JCR Q1[Information Fusion'23] ReCoMIF: Reading comprehension based multi-source information fusion network for Chinese spoken language understanding.
    Bo Xie, Xiaohui Jia, Xiawen Song, Hua Zhang, Bi Chen, Bo Jiang, Ye Wang, Yun Pan.
    Information Fusion, 2023, 96: 192-201.
  12. JCR Q1 [ESWA'22] Open APIs recommendation with an ensemble-based multi-feature model.
    Y Wang, J Chen, Q Huang, et al.
    Expert Systems with Applications, 2022, 196: 116574.DOI: 10.1016/j.eswa.2022.116574
  13. CCF B[REJ'19] Eliciting user requirements for e-collaboration systems: a proposal for a multi-perspective modeling approach.
    Y Wang, L Zhao.
    in Requirements Engineering, 24(2): 205-229, 2019.
  14. CCF C[IJSEKE'19] PASER: A Pattern-based approach to service requirements analysis.
    Y Wang, T Wang, J Sun.
    in International Journal of Software Engineering and Knowledge Engineering, 29(04): 547-576, 2019.
  15. CCF A[SCIS'18] Anti-chain based algorithms for timed/probabilistic refinement checking.
    T Wang, T Chen, Y Liu, Y Wang.
    in Science China Information Sciences, 61(5):52-105, 2018.
  16. CCF A[IJHCS'13] PLANT: A pattern language for transforming scenarios into requirements models.
    Y. Wang, L. Zhao, X. Wang, X. Yang, S. Supakkul.
    International Journal of Human-Computer Studies, 2013, 71(11): 1026–1043.
  17. JCR Q2 [Expert Syst'13] Deriving problem frames from business process and object analysis models.
    X. Wang, J. Sun, X. Yang, Y. Wang, S. Li, A.J. Kavs.
    Expert Systems: The Journal of Knowledge Engineering, 2013, 30(3): 200–214.
  18. CCF C[IJSEKE'13] ProQRASS: A process-based approach to quality requirements analysis for service systems.
    Y. Wang, X. Yang, X. Wang, A.J. Kavs.
    International Journal of Software Engineering and Knowledge Engineering, 2013, 23(7): 943-962.
  19. CCF B[Softw Pract Exp'12] Satisfying quality requirements in the design of a partition-based, distributed stock trading system.
    X. Yang, L. Zhao, X. Wang, Y. Wang, J. Sun, A.J. Cristoforo.
    Software: Practice and Experience, 2012, 42(2): 131–157.

Conference Papers

  1. CCF C[QRS'25] An Empirical Study On the Short-Term Self-Admitted Technical Debt.
    Q Huang, W Liu, Z Dai, Y Wang, C Lin.
    in Proceedings of the 25th International Conference on Software Quality, Reliability, and Security (QRS 2025), July 19, 2025.
  2. CCF C[QRS'25] AISum4DCR: A Multi-Topic Dialog Summarization Approach for Developer Chat Rooms Integrating AI Chain and Prompt Engineering.
    Y Wang, C Dai, S Zhou, Q Huang, L Bao.
    in Proceedings of the 25th International Conference on Software Quality, Reliability, and Security (QRS 2025), July 19, 2025.
  3. CCF C[APSEC'25] Enhancing Requirement-to-Code Traceability via Chain-of-Thought Prompting in Large Language Models.
    W Wang, Y Wang, Q Huang, B Jiang.
    in Proceedings of the 2025 IEEE Asia-Pacific Software Engineering Conference (APSEC 2025).
  4. CCF C[SCC'17] A semantic-based approach to service clustering from service documents.
    B Jiang, L Ye, J Wang,Y Wang.
    in Proceedings of the 19th IEEE International Conference on Service Computing (SCC’17), Honolulu, Hawaii, USA, June 25-30, 2017, pp. 265-272.
  5. [REPA'16] Using workflow patterns to model and validate service requirements
    Y. Wang, B. Jiang, T. Wang.
    International Workshop on Requirements Patterns (RePa), IEEE, 2016: 281-288.
  6. CCF C[SEKE'14] Efficient points-to analysis for partial call graph construction.
    Z Wan, B Zhou,Y Wang, Y Shen.
    in Proceedings of the 2014 International Conference on Software Engineering & Knowledge Engineering (SEKE’14), Hyatt Regency, Vancouver, Canada, July 1-3, 2014, pp. 416-421.
  7. [REPA'14] Privacy requirements patterns for mobile operating systems
    X. Xuan,Y Wang, S. Li.
    International Workshop on Requirements Patterns (RePa), IEEE, 2014: 39-42.
  8. [APRES'14] The role of requirements engineering practices in agile development: an empirical study.
    X Wang, L Zhao, Y Wang, J Sun.
    in Proceedings of the 2014 Asia Pacific Requirements Engineering Symposium (APRES’14), Auckland, New Zealand, April 28–29, 2014, pp. 195-209.
  9. CCF B[ICWS'12] Optimizing QoS-aware services composition for concurrent processes in dynamic resource-constrained environments.
    Y. Shen, X. Yang, Y. Wang, Z. Ye.
    19th International Conference on Web Services (ICWS), IEEE, 2012: 250-258.

Review Papers

  1. [2023] 软件跟踪链自动化技术研究综述.
    汪烨，胡坤，姜波等.
    in 计算机学报, 2023, 46(09): 1919-1946.DOI: 10.11897/SP.J.1016.2023.01919
  2. [2021] 智能需求获取与建模研究综述.
    汪烨，陈骏武，夏鑫等.
    in 计算机研究与发展，2021，25：681-705.

Funding

  1. 国家自然科学基金青年基金项目, 24万，2015.01-2017.12，主持.
  2. 浙江省自然科学基金探索项目,10万，2021.01-2023.12，主持.
  3. 桐乡市通用人工智能研究院项目(一般项目), 10万，2025.01-2026.12, 主持.

Patents

  1. 姜波，陈骏武，汪烨，宋师哲. 融合深度学习和工作流模式的服务需求冲突检测方法. 中国, CN202110065804.X . 08-22-2023.
  2. 汪烨，胡坤，黄乔，姜波. 基于代码所有权信息和深度学习的软件跟踪能力链恢复方法. 中国, CN202210316741.5 . 03-28-2025.
  3. 汪烨，周澳回，宋师哲，姜波. 基于K-Truss的复杂软件关键模块识别方法. 中国, CN202210262823.6 . 11-26-2024.
  4. 汪烨， 宋师哲，周澳回，姜波. 基于最大公共子图计算的用例图相似性判断方法. 中国, CN202110886966.X . 01-12-2024.


Mailing Address: SCIE Buiding, 18# Xuezheng Street, Hangzhou 310018, Zhejiang, China

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