| 2025 | CVPR | Detection-Friendly Nonuniformity Correction: A Union Framework for Infrared UAV Target Detection. | Houzhang Fang, Xiaolin Wang, Zengyang Li, Lu Wang, Qingshan Li, Yi Chang, Luxin Yan |
| 2023 | ESEM | Understanding Resolution of Multi-Language Bugs: An Empirical Study on Apache Projects. | Zengyang Li, Wenshuo Wang, Sicheng Wang, Peng Liang, Ran Mo |
| 2023 | SEKE | Just-in-Time Defect Severity Prediction (S). | Ran Mo, Yushuo Wang, Yao Zhang, Zengyang Li |
| 2022 | ESEM | Potential Technical Debt and Its Resolution in Code Reviews: An Exploratory Study of the OpenStack and Qt Communities. | Liming Fu, Peng Liang, Zeeshan Rasheed, Zengyang Li, Amjed Tahir, Xiaofeng Han |
| 2022 | SEKE | A Preliminary Study on the Explicitness of Bug Associations. | Zengyang Li, Jieling Xu, Guangzong Cai, Peng Liang, Ran Mo |
| 2022 | SEKE | Decisions in Continuous Integration and Delivery: An Exploratory Study. | Yajing Luo, Peng Liang, Mojtaba Shahin, Zengyang Li, Chen Yang |
| 2021 | EASE | Self-Claimed Assumptions in Deep Learning Frameworks: An Exploratory Study. | Chen Yang, Peng Liang, Liming Fu, Zengyang Li |
| 2021 | ESEM | The Existence and Co-Modifications of Code Clones within or across Microservices. | Ran Mo, Yang Zhao, Qiong Feng, Zengyang Li |
| 2021 | SEKE | Multiclass Classification of Four Types of UML Diagrams from Images Using Deep Learning. | Sergei Shcherban, Peng Liang, Zengyang Li, Chen Yang |
| 2021 | SCAM | Formal Definition and Automatic Generation of Semantic Metrics: An Empirical Study on Bug Prediction. | Ting Hu, Ran Mo, Pu Xiong, Zengyang Li, Qiong Feng |
| 2021 | SETTA | Predicting and Monitoring Bug-Proneness at the Feature Level. | Shaozhi Wei, Ran Mo, Pu Xiong, Siyuan Zhang, Yang Zhao, Zengyang Li |
| 2020 | EASE | Automatic Identification of Decisions from the Hibernate Developer Mailing List. | Xueying Li, Peng Liang, Zengyang Li |
| 2020 | SEKE | An Empirical Investigation on the Relationship Between Bug Severity and Bug Fixing Change Complexity. | Zengyang Li, Dengwei Li, Peng Liang, Ran Mo |
| 2019 | SEKE | Improving Code Generation From Descriptive Text By Combining Deep Learning and Syntax Rules. | Xiangru Tang, Zhihao Wang, Jiyang Qi, Zengyang Li |
| 2018 | SEKE | Automatic Detection of Public Development Projects in Large Open Source Ecosystems: An Exploratory Study on GitHub. | Can Cheng, Bing Li, Zengyang Li, Peng Liang |
| 2018 | SEKE | A Preliminary Investigation of Self-Admitted Refactorings in Open Source Software (S). | Zhang Di, Bing Li, Zengyang Li, Peng Liang |
| 2017 | ICSE | Relating alternate modifications to defect density in software development. | Zengyang Li, Peng Liang, Bing Li |
| 2016 | MODELS | Technical debt in MDE: a case study on GMF/EMF-based projects. | Xiao He, Paris Avgeriou, Peng Liang, Zengyang Li |
| 2013 | SEKE | Recovering Software Architectural Knowledge from Documentation using Conceptual Model. | Mojtaba Shahin, Peng Liang, Zengyang Li |
| 2011 | ECSA | Architectural design decision visualization for architecture design: preliminary results of a controlled experiment. | Mojtaba Shahin, Peng Liang, Zengyang Li |