| 2026 | ACL | ExecVerify: White-Box RL with Verifiable Stepwise Rewards for Code Execution Reasoning. | Lingxiao Tang, He Ye, Zhaoyang Chu, Muyang Ye, Zhongxin Liu, Xiaoxue Ren, Lingfeng Bao |
| 2026 | SANER | Can LLMs Keep Up with Library Changes? An Exploratory Study on LLM-Generated Code. | Xiangrong Lin, Jiakun Liu, Lingfeng Bao |
| 2025 | ISSTA | Code2API: A Tool for Generating Reusable APIs from Stack Overflow Code Snippets. | Yubo Mai, Zhipeng Gao, Xing Hu, Lingfeng Bao, Jingyuan Chen, Jianling Sun |
| 2025 | QRS | AISum4DCR: A Multi-Topic Dialog Summarization Approach for Developer Chat Rooms Integrating AI Chain and Prompt Engineering. | Ye Wang, Chaoqun Dai, Siyuan Zhou, Qiao Huang, Lingfeng Bao |
| 2025 | RE | ConSum4DCR: A Q&A Knowledge Extraction Method for Developer Chatroom Environments. | Yankun Jin, Ye Wang, Qiao Huang, Lingfeng Bao, Siyuan Zhou, Bo Jiang |
| 2024 | APSEC | Analyzing and Detecting Toxicities in Developer Online Chatrooms: A Fine-Grained Taxonomy and Automated Detection Approach. | Junyi Tian, Lingfeng Bao, Shengyi Pan, Xing Hu |
| 2024 | APSEC | Automatic Commit Range Identification of Untagged Version. | Yan Zhu, Lingfeng Bao, Chengjie Chen, Lexiao Zhang, Xin Yin, Chao Ni |
| 2024 | ICDE | Robust Auto-Scaling with Probabilistic Workload Forecasting for Cloud Databases. | Haitian Hang, Xiu Tang, Jianling Sun, Lingfeng Bao, David Lo, Haoye Wang |
| 2024 | ICSE | Towards More Practical Automation of Vulnerability Assessment. | Shengyi Pan, Lingfeng Bao, Jiayuan Zhou, Xing Hu, Xin Xia, Shanping Li |
| 2024 | MSR | A Large-Scale Empirical Study of Open Source License Usage: Practices and Challenges. | Jiaqi Wu, Lingfeng Bao, Xiaohu Yang, Xin Xia, Xing Hu |
| 2023 | ICSE | Fine-grained Commit-level Vulnerability Type Prediction by CWE Tree Structure. | Shengyi Pan, Lingfeng Bao, Xin Xia, David Lo, Shanping Li |
| 2023 | ICSE | Patchmatch: A Tool for Locating Patches of Open Source Project Vulnerabilities. | Kedi Shen, Yun Zhang, Lingfeng Bao, Zhiyuan Wan, Zhuorong Li, Minghui Wu |
| 2022 | ICSE | V-SZZ: Automatic Identification of Version Ranges Affected by CVE Vulnerabilities. | Lingfeng Bao, Xin Xia, Ahmed E. Hassan, Xiaohu Yang |
| 2022 | ICSE | Code Reviewer Recommendation in Tencent: Practice, Challenge, and Direction. | Qiuyuan Chen, Dezhen Kong, Lingfeng Bao, Chenxing Sun, Xin Xia, Shanping Li |
| 2019 | ICSE | On reliability of patch correctness assessment. | Xuan-Bach Dinh Le, Lingfeng Bao, David Lo, Xin Xia, Shanping Li, Corina S. Pasareanu |
| 2018 | APSEC | Categorizing and Predicting Invalid Vulnerabilities on Common Vulnerabilities and Exposures. | Qiuyuan Chen, Lingfeng Bao, Li Li, Xin Xia, Liang Cai |
| 2018 | COMPSAC | Characterizing Common and Domain-Specific Package Bugs: A Case Study on Ubuntu. | Xiaoxue Ren, Qiao Huang, Xin Xia, Zhenchang Xing, Lingfeng Bao, David Lo |
| 2018 | ICECCS | Towards Mining Comprehensive Android Sandboxes. | Tien-Duy B. Le, Lingfeng Bao, David Lo, Debin Gao, Li Li |
| 2018 | ICSE | Inference of development activities from interaction with uninstrumented applications. | Lingfeng Bao, Zhenchang Xing, Xin Xia, David Lo, Ahmed E. Hassan |
| 2018 | ICSE | Measuring program comprehension: a large-scale field study with professionals. | Xin Xia, Lingfeng Bao, David Lo, Zhenchang Xing, Ahmed E. Hassan, Shanping Li |
| 2018 | ISSRE | A Smart Context-Aware Program Assistant Based on Dynamic Programming Event Modeling. | Xuejiao Zhao, Hongwei Li, Yutian Tang, Dongjing Gao, Lingfeng Bao, Ching-Hung Lee |
| 2017 | MSR | Who will leave the company?: a large-scale industry study of developer turnover by mining monthly work report. | Lingfeng Bao, Zhenchang Xing, Xin Xia, David Lo, Shanping Li |
| 2016 | ISSRE | Combining Word Embedding with Information Retrieval to Recommend Similar Bug Reports. | Xinli Yang, David Lo, Xin Xia, Lingfeng Bao, Jianling Sun |
| 2016 | MSR | How android app developers manage power consumption?: an empirical study by mining power management commits. | Lingfeng Bao, David Lo, Xin Xia, Xinyu Wang, Cong Tian |
| 2016 | SAC | BPMiner: mining developers' behavior patterns from screen-captured task videos. | Jing Li, Lingfeng Bao, Zhenchang Xing, Xinyu Wang, Bo Zhou |
| 2015 | ICSE | scvRipper: Video Scraping Tool for Modeling Developers' Behavior Using Interaction Data. | Lingfeng Bao, Jing Li, Zhenchang Xing, Xinyu Wang, Bo Zhou |