| 2024 | APSEC | A Two-Stage Approach for GitHub Issue Links Identification and Classification. | Yingying He, Wenhua Yang |
| 2024 | ICSE | Comprehensive Semantic Repair of Obsolete GUI Test Scripts for Mobile Applications. | Shaoheng Cao, Minxue Pan, Yu Pei, Wenhua Yang, Tian Zhang, Linzhang Wang, Xuandong Li |
| 2024 | ICSE | Deeply Reinforcing Android GUI Testing with Deep Reinforcement Learning. | Yuanhong Lan, Yifei Lu, Zhong Li, Minxue Pan, Wenhua Yang, Tian Zhang, Xuandong Li |
| 2024 | QRS | An Empirical Study on Python Library Dependency and Conflict Issues. | Xinyu Jia, Yu Zhou, Yasir Hussain, Wenhua Yang |
| 2023 | QRS | Mobile Test Script Generation from Natural Language Descriptions. | Chun Li, Yifan Xiong, Zhong Li, Wenhua Yang, Minxue Pan |
| 2023 | QRS | Git Merge Conflict Resolution Leveraging Strategy Classification and LLM. | Chaochao Shen, Wenhua Yang, Minxue Pan, Yu Zhou |
| 2021 | QRS | Hybrid Collaborative Filtering-Based API Recommendation. | Yongchao Wang, Yu Zhou, Taolue Chen, Jingxuan Zhang, Wenhua Yang, Zhiqiu Huang |
| 2020 | QRS | API Parameter Recommendations Made Effective. | Wenhua Yang |
| 2014 | APSEC | SHAP: Suppressing the Detection of Inconsistency Hazards by Pattern Learning. | Wang Xi, Chang Xu, Wenhua Yang, Ping Yu, Xiaoxing Ma, Jiang Lu |
| 2013 | Middleware | IDEA: improving dependability for self-adaptive applications. | Wenhua Yang, Chang Xu, Linghao Zhang |