| 2026 | AAAI | VFCionX: Bridging Large and Small Models for Robust Vulnerability-Fixing Commit Identification. | Xing Cui, Jingzheng Wu, Wenxiang Ou, Tianyue Luo, Zhiyuan Li, Xiang Ling |
| 2026 | DATE | SimFuzz: Similarity-guided Block-level Mutation for RISC-V Processor Fuzzing. | Hao Lyu, Jingzheng Wu, Xiang Ling, Yicheng Zhong, Zhiyuan Li, Tianyue Luo |
| 2026 | KSEM | Towards Graph-Based Code Generation: Competition-Level Coding Agents with Graph-Based Reasoning and Backtracking. | Huidi Zhu, Jingzheng Wu, Xiang Ling, Tianyue Luo, Chen Zhao |
| 2025 | APSEC | PyReach: A Multi-Agent Framework for Vulnerability Reachability Analysis in Python. | Yueqin Wang, Jingzheng Wu, Xiang Ling, Tianyue Luo, Xu Wang |
| 2025 | EASE | Version-level Third-Party Library Detection in Android Applications via Class Structural Similarity. | Bolin Zhou, Jingzheng Wu, Xiang Ling, Tianyue Luo, Jingkun Zhang |
| 2025 | ESEM | We Know What You're Looking For: Recommendation for Large-Scale Open Source Software. | Xing Cui, Jingzheng Wu, Xiang Ling, Tianyue Luo |
| 2025 | ICSE | Exploring Large Language Models for Analyzing Open Source License Conflicts: How Far Are We? | Xing Cui, Jingzheng Wu, Xiang Ling, Tianyue Luo, Mutian Yang, Wenxiang Ou |
| 2025 | ICSE | The Seeds of the Future Sprout from History: Fuzzing for Unveiling Vulnerabilities in Prospective Deep-Learning Libraries. | Zhiyuan Li, Jingzheng Wu, Xiang Ling, Tianyue Luo, Zhiqing Rui, Yanjun Wu |
| 2025 | ISSRE | CECoder: Fine-Grained Code Element Retrieval for Repository-Level Code Generation. | Yiming He, Jingzheng Wu, Xiang Ling, Tianyue Luo, Mutian Yang, Chen Zhao |
| 2024 | EASE | VulDL: Tree-based and Graph-based Neural Networks for Vulnerability Detection and Localization. | Jingzheng Wu, Xiang Ling, Xu Duan, Tianyue Luo, Mutian Yang |
| 2024 | ICSE | When Large Language Models Confront Repository-Level Automatic Program Repair: How Well They Done? | Yuxiao Chen, Jingzheng Wu, Xiang Ling, Changjiang Li, Zhiqing Rui, Tianyue Luo, Yanjun Wu |
| 2024 | SP | APP-Miner: Detecting API Misuses via Automatically Mining API Path Patterns. | Jiasheng Jiang, Jingzheng Wu, Xiang Ling, Tianyue Luo, Sheng Qu, Yanjun Wu |
| 2023 | ICPADS | Automatic Program Repair via Learning Edits on Sequence Code Property Graph. | Xiaoyu Li, Jingzheng Wu, Xiang Ling, Tianyue Luo, Yanjun Wu |
| 2023 | ICSE | An Empirical Study of License Conflict in Free and Open Source Software. | Xing Cui, Jingzheng Wu, Yanjun Wu, Xu Wang, Tianyue Luo, Sheng Qu, Xiang Ling, Mutian Yang |
| 2022 | ISSTA | A large-scale empirical analysis of the vulnerabilities introduced by third-party components in IoT firmware. | Binbin Zhao, Shouling Ji, Jiacheng Xu, Yuan Tian, Qiuyang Wei, Qinying Wang, Chenyang Lyu, Xuhong Zhang, Changting Lin, Jingzheng Wu, Raheem Beyah |
| 2021 | ISSRE | MultiCode: A Unified Code Analysis Framework based on Multi-type and Multi-granularity Semantic Learning. | Xu Duan, Jingzheng Wu, Mengnan Du, Tianyue Luo, Mutian Yang, Yanjun Wu |
| 2021 | QRS | A Large-Scale Study on Vulnerabilities in Linux using Vtopia. | Yanjie Shao, Yanjun Wu, Mutian Yang, Tianyue Luo, Jingzheng Wu |
| 2020 | CCS | Information Leakage by Model Weights on Federated Learning. | Xiaoyun Xu, Jingzheng Wu, Mutian Yang, Tianyue Luo, Xu Duan, Weiheng Li, Yanjun Wu, Bin Wu |
| 2019 | IJCAI | VulSniper: Focus Your Attention to Shoot Fine-Grained Vulnerabilities. | Xu Duan, Jingzheng Wu, Shouling Ji, Zhiqing Rui, Tianyue Luo, Mutian Yang, Yanjun Wu |