| 2026 | WWW | EMSEdit: Efficient Multi-Step Meta-Learning-based Model Editing. | Xiaopeng Li, Shasha Li, Xi Wang, Shezheng Song, Bin Ji, Shangwen Wang, Jun Ma, Xiaodong Liu, Mina Liu, Jie Yu |
| 2025 | APSEC | Trace: Test Repair via Agent-based Context Extraction with LLMs. | Jingxiang Tu, Bo Lin, Yihao Qin, Shangwen Wang, Liqian Chen, Xiaoguang Mao |
| 2025 | CCS | Give LLMs a Security Course: Securing Retrieval-Augmented Code Generation via Knowledge Injection. | Bo Lin, Shangwen Wang, Yihao Qin, Liqian Chen, Xiaoguang Mao |
| 2025 | IJCNN | LSAQ: Layer-Specific Adaptive Quantization for Large Language Model Deployment. | Binrui Zeng, Bin Ji, Xiaodong Liu, Jie Yu, Shasha Li, Jun Ma, Xiaopeng Li, Shangwen Wang, Xinran Hong, Yongtao Tang |
| 2025 | ICSE | Model Editing for LLMs4Code: How Far are we? | Xiaopeng Li, Shangwen Wang, Shasha Li, Jun Ma, Jie Yu, Xiaodong Liu, Jing Wang, Bin Ji, Weimin Zhang |
| 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 | KDD | Identifying Knowledge Editing Types in Large Language Models. | Xiaopeng Li, Shasha Li, Shangwen Wang, Shezheng Song, Bin Ji, Huijun Liu, Jun Ma, Jie Yu |
| 2025 | WWW | Learning Feasible Causal Algorithmic Recourse: A Prior Structural Knowledge Free Approach. | Haotian Wang, Hao Zou, Xueguang Zhou, Shangwen Wang, Wenjing Yang, Peng Cui |
| 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 | ICDM | Learning Feasible Causal Algorithmic Recourse without Prior Structure. | Haotian Wang, Hao Zou, Xueguang Zhou, Shangwen Wang, Long Lan, Wenjing Yang, Peng Cui |
| 2024 | ICSE | Large Language Models are Few-Shot Summarizers: Multi-Intent Comment Generation via In-Context Learning. | Mingyang Geng, Shangwen Wang, Dezun Dong, Haotian Wang, Ge Li, Zhi Jin, Xiaoguang Mao, Xiangke Liao |
| 2024 | ICSE | When Neural Code Completion Models Size up the Situation: Attaining Cheaper and Faster Completion through Dynamic Model Inference. | Zhensu Sun, Xiaoning Du, Fu Song, Shangwen Wang, Li Li |
| 2024 | ISSTA | One Size Does Not Fit All: Multi-granularity Patch Generation for Better Automated Program Repair. | Bo Lin, Shangwen Wang, Ming Wen, Liqian Chen, Xiaoguang Mao |
| 2023 | ICSE | Don't Complete It! Preventing Unhelpful Code Completion for Productive and Sustainable Neural Code Completion Systems. | Zhensu Sun, Xiaoning Du, Fu Song, Shangwen Wang, Mingze Ni, Li Li |
| 2021 | ISSRE | Peculiar: Smart Contract Vulnerability Detection Based on Crucial Data Flow Graph and Pre-training Techniques. | Hongjun Wu, Zhuo Zhang, Shangwen Wang, Yan Lei, Bo Lin, Yihao Qin, Haoyu Zhang, Xiaoguang Mao |
| 2020 | APSEC | Understanding the Non-Repairability Factors of Automated Program Repair Techniques. | Bo Lin, Shangwen Wang, Ming Wen, Zhang Zhang, Hongjun Wu, Yihao Qin, Xiaoguang Mao |
| 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 | ICSE | On the efficiency of test suite based program repair: A Systematic Assessment of 16 Automated Repair Systems for Java Programs. | Kui Liu, Shangwen Wang, Anil Koyuncu, Kisub Kim, Tegawend F. Bissyand, Dongsun Kim, Peng Wu, Jacques Klein, Xiaoguang Mao, Yves Le Traon |
| 2019 | EASE | Attention Please: Consider Mockito when Evaluating Newly Proposed Automated Program Repair Techniques. | Shangwen Wang, Ming Wen, Xiaoguang Mao, Deheng Yang |
| 2019 | ESEM | How Different Is It Between Machine-Generated and Developer-Provided Patches? : An Empirical Study on the Correct Patches Generated by Automated Program Repair Techniques. | Shangwen Wang, Ming Wen, Liqian Chen, Xin Yi, Xiaoguang Mao |
| 2019 | SEKE | Multi-Location Program Repair Strategies Learned from Successful Experience (S). | Shangwen Wang, Xiaoguang Mao, Nan Niu, Xin Yi, Anbang Guo |
| 2018 | ICSR | A Hybrid Approach for Tag Hierarchy Construction. | Shangwen Wang, Tao Wang, Xiaoguang Mao, Gang Yin, Yue Yu |