| 2025 | AAAI | Maintaining Fairness in Logit-based Knowledge Distillation for Class-Incremental Learning. | Zijian Gao, Shanhao Han, Xingxing Zhang, Kele Xu, Dulan Zhou, Xinjun Mao, Yong Dou, Huaimin Wang |
| 2025 | CVPR | Knowledge Memorization and Rumination for Pre-trained Model-based Class-Incremental Learning. | Zijian Gao, Wangwang Jia, Xingxing Zhang, Dulan Zhou, Kele Xu, Dawei Feng, Yong Dou, Xinjun Mao, Huaimin Wang |
| 2025 | ICSE | Instruct or Interact? Exploring and Eliciting LLMs' Capability in Code Snippet Adaptation Through Prompt Engineering. | Tanghaoran Zhang, Yue Yu, Xinjun Mao, Shangwen Wang, Kang Yang, Yao Lu, Zhang Zhang, Yuxin Zhao |
| 2025 | SEKE | ConflictLens: an LLM-Based Method for Detecting Semantic Merge Conflicts. | Longfei Sun, Yao Lu, Xinjun Mao, Tanghaoran Zhang, Zhang Zhang, Huiping Zhou |
| 2025 | SEKE | Decoding Serverless Security: Exploring Developer Challenges and Solutions from Stack Overflow. | Changrong Xie, Yang Zhang, Xinjun Mao, Huiping Zhou |
| 2025 | SANER | Improving API Knowledge Comprehensibility: A Context-Dependent Entity Detection and Context Completion Approach Using LLM. | Zhang Zhang, Xinjun Mao, Shangwen Wang, Kang Yang, Tanghaoran Zhang, Fei Gao, Xunhui Zhang |
| 2024 | APSEC | An Empirical Study of Cross-Project Pull Request Recommendation in GitHub. | Wenyu Xu, Yao Lu, Xunhui Zhang, Tanghaoran Zhang, Bo Lin, Xinjun Mao |
| 2023 | APSEC | Understanding Developers' Contribution Motivation in Stack Overflow: A Systematic Review. | Yi Yang, Xinjun Mao |
| 2023 | APSEC | MUSE: A Multi-Feature Semantic Fusion Method for ROS Node Search Based on Knowledge Graph. | Yuxin Zhao, Xinjun Mao, Tanghaoran Zhang, Zhang Zhang |
| 2023 | ICASSP | Complementary Learning System Based Intrinsic Reward in Reinforcement Learning. | Zijian Gao, Kele Xu, Hongda Jia, Tianjiao Wan, Bo Ding, Dawei Feng, Xinjun Mao, Huaimin Wang |
| 2023 | ICCBR | An Integrated Approach to Predicting the Influence of Reputation Mechanisms on Q&A Communities. | Yi Yang, Xinjun Mao, Menghan Wu |
| 2023 | SEKE | An Effective Method for Constructing Knowledge Graph to Search Reusable ROS Nodes (S). | Yuxin Zhao, Xinjun Mao, Sun Bo, Tanghaoran Zhang, Shuo Yang |
| 2022 | COMPSAC | Towards An Efficient Searching Approach of ROS Message by Knowledge Graph. | Sun Bo, Xinjun Mao, Shuo Yang, Long Chen |
| 2022 | SEKE | The Maintenance of Top Frameworks and Libraries Hosted on GitHub: An Empirical Study. | Yi Huang, Xinjun Mao, Zhang Zhang |
| 2021 | ICRA | Towards Adjoint Sensing and Acting Schemes and Interleaving Task Planning for Robust Robot Plan. | Shuo Yang, Xinjun Mao, Shuo Wang, Huaiyu Xiao, Yuanzhou Xue |
| 2021 | SEKE | An Efficient ROS Package Searching Approach Powered By Knowledge Graph. | Long Chen, Xinjun Mao, Yinyuan Zhang, Shuo Yang, Shuo Wang |
| 2020 | APSEC | Software Engineering for Autonomous Robot: Challenges, Progresses and Opportunities. | Xinjun Mao, Hao Huang, Shuo Wang |
| 2020 | APSEC | An Empirical Study on the Influence of Social Interactions for the Acceptance of Answers in Stack Overflow. | Zhang Zhang, Xinjun Mao, Yao Lu, Shangwen Wang, Jinyu Lu |
| 2020 | ICECCS | Gathering GitHub OSS Requirements from Q&A Community: an Empirical Study. | Hao Huang, Yao Lu, Xinjun Mao |
| 2020 | SMC | Towards an Extended POMDP Planning Approach with Adjoint Action Model for Robotic Task. | Shuo Yang, Xinjun Mao, Wanwei Liu |
| 2020 | SEKE | Who Should Close the Questions: Recommending Voters for Closing Questions Based on Tags. | Zhang Zhang, Xinjun Mao, Yao Lu, Jinyu Lu |
| 2020 | SEKE | Exploring CQA User Contributions and Their Influence on Answer Distribution. | Yi Yang, Xinjun Mao, Zixi Xu, Yao Lu |
| 2018 | APWEB | Model and Practice of Crowd-Based Education. | Xinjun Mao, Yao Lu, Liangze Yin, Tao Wang, Gang Yin |
| 2018 | ICSE | Continuous inspection in the classroom: improving students' programming quality with social coding methods. | Yao Lu, Xinjun Mao, Tao Wang, Gang Yin, Zude Li, Huaimin Wang |
| 2018 | SEKE | Accompanying Observation Modes and Software Architecture for Autonomous Robot Software. | Zhe Liu, Xinjun Mao, Shuo Yang |
| 2018 | SEKE | Towards Reference Architecture for a Multi-layer Controlled Self-adaptive Microservice System. | Peini Liu, Xinjun Mao, Shuai Zhang, Fu Hou |
| 2018 | SEKE | A Self-Adaptation Framework of Microservice Systems (S). | Shuai Zhang, Xinjun Mao, Peini Liu, Fu Hou |
| 2018 | UIC | Generalized Nash Equilibrium Model of the Service Provisioning Problem in Multi-Cloud Competitions. | Peini Liu, Xinjun Mao, Fu Hou, Shuai Zhang |
| 2017 | APSEC | A Dual-Loop Control Model and Software Framework for Autonomous Robot Software. | Zhe Liu, Xinjun Mao, Shuo Yang |
| 2017 | APSEC | The Accompanying Behavior Model and Implementation Architecture of Autonomous Robot Software. | Shuo Yang, Xinjun Mao, Zhe Liu, Sen Yang, Jiangtao Xue, Zixi Xu |
| 2017 | DASFAA | Quantitative Analysis of Learning Data in a Programming Course. | Yu Bai, Liqian Chen, Gang Yin, Xinjun Mao, Ye Deng, Tao Wang, Yao Lu, Huaimin Wang |
| 2017 | DASFAA | Using Pull-Based Collaborative Development Model in Software Engineering Courses: A Case Study. | Yao Lu, Xinjun Mao, Gang Yin, Tao Wang, Yu Bai |
| 2017 | ICAART | Deadlock Prevention in Rendezvous Generation for On-demand Inter-robot Resource Delivery. | Yin Chen, Xinjun Mao, Fu Hou |
| 2016 | APSEC | Does the Role Matter? An Investigation of the Code Quality of Casual Contributors in GitHub. | Yao Lu, Xinjun Mao, Zude Li, Yang Zhang, Tao Wang, Gang Yin |
| 2016 | SMC | Combining re-allocating and re-scheduling for dynamic multi-robot task allocation. | Yin Chen, Xinjun Mao, Fu Hou, QiuZhen Wang, Shuo Yang |
| 2015 | SMC | The Roadmap and Challenges of Robot Programming Languages. | Shuo Yang, Xinjun Mao, Binbin Ge, Sen Yang |