| 2026 | ACL | RepoDistill: Distilling Repository Knowledge through Compression-Aware Budget Allocation and Policy Optimization. | Xin Yin, Zixiang Ding, Yiang Zhang, Qiang Wang, Rui Wang, Chao Ni, Zhe Cui |
| 2026 | ICDE | Efficient Meta-Path Constrained Reachability Query on Heterogeneous Information Networks. | Chao Ni, Zi Chen, Long Yuan, Bolong Zheng, Lu Qin |
| 2025 | APSEC | Reliable Code Generation with Test Case Prioritization and Cognitive Validation. | Lingyun Huang, Xin Yin, Xinrui Li, Chao Ni |
| 2025 | APSEC | Enhancing Commit Classification for Software Maintenance with Adversarial Learning. | Xinrui Li, Xin Yin, Chao Ni |
| 2025 | ICSE | What You See is What You Get: Attention-Based Self-Guided Automatic Unit Test Generation. | Xin Yin, Chao Ni, Xiaodan Xu, Xiaohu Yang |
| 2025 | ISSRE | A Cascaded Pipeline for Self-Directed, Model-Agnostic Unit Test Generation via LLMs. | Chao Ni, Xiaoya Wang, Xin Yin, Liushan Chen, Guojun Ma |
| 2024 | APSEC | Automatic Commit Range Identification of Untagged Version. | Yan Zhu, Lingfeng Bao, Chengjie Chen, Lexiao Zhang, Xin Yin, Chao Ni |
| 2024 | ISSTA | ThinkRepair: Self-Directed Automated Program Repair. | Xin Yin, Chao Ni, Shaohua Wang, Zhenhao Li, Limin Zeng, Xiaohu Yang |
| 2024 | MSR | MegaVul: A C/C++ Vulnerability Dataset with Comprehensive Code Representations. | Chao Ni, Liyu Shen, Xiaohu Yang, Yan Zhu, Shaohua Wang |
| 2023 | MSR | Boosting Just-in-Time Defect Prediction with Specific Features of C/C++ Programming Languages in Code Changes. | Chao Ni, Xiaodan Xu, Kaiwen Yang, David Lo |
| 2022 | ISSRE | Detecting and Defending CSRF at API-Level. | Shun Wang, Chao Ni, Jianbo Wang, Changhai Nie |
| 2020 | SEKE | Revisiting Dependence Cluster Metrics based Defect Prediction. | Qiguo Huang, Xiang Chen, Zhengliang Li, Chao Ni, Qing Gu |
| 2019 | SEKE | Multi-project Regression based Approach for Software Defect Number Prediction. | Qiguo Huang, Chao Ni, Xiang Chen, Qing Gu, Kaibo Cao |
| 2017 | COMPSAC | FeSCH: A Feature Selection Method using Clusters of Hybrid-data for Cross-Project Defect Prediction. | Chao Ni, Wangshu Liu, Qing Gu, Xiang Chen, Daoxu Chen |