Shangwen Wang - RankMe

97 papers A* 13A 16B 2C 4Journal 55Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AdaptEval: A Benchmark for Evaluating Large Language Models on Code Snippet Adaptation. CoRR Tanghaoran Zhang, Xinjun Mao, Shangwen Wang, Yuxin Zhao, Yao Lu, Jin Zhang, Zhang Zhang, Kang Yang, Yue Yu
2026	J	`jnl`	Atomizer: An LLM-based Collaborative Multi-Agent Framework for Intent-Driven Commit Untangling. CoRR Kangchen Zhu, Zhiliang Tian, Shangwen Wang, Mingyue Leng, Xiaoguang Mao
2026	J	`jnl`	Coding in a Bubble? Evaluating LLMs in Resolving Context Adaptation Bugs During Code Adaptation. CoRR Tanghaoran Zhang, Xinjun Mao, Shangwen Wang, Yuxin Zhao, Yao Lu, Zezhou Tang, Wenyu Xu, Longfei Sun, Changrong Xie, Kang Yang, Yue Yu
2026	A*	`conf`	EMSEdit: Efficient Multi-Step Meta-Learning-based Model Editing. WWW Xiaopeng Li, Shasha Li, Xi Wang, Shezheng Song, Bin Ji, Shangwen Wang, Jun Ma, Xiaodong Liu, Mina Liu, Jie Yu
2026	J	`jnl`	Mitigating sensitive information leakage in LLMs4Code through machine unlearning. Neural Networks Shanzhi Gu, Zhaoyang Qu, Ruotong Geng, Mingyang Geng, Shangwen Wang, Chuanfu Xu, Haotian Wang, Zhipeng Lin, Dezun Dong
2025	J	`jnl`	A Little Help Goes a Long Way: Tutoring LLMs in Solving Competitive Programming Through Hints. IEEE Trans. Software Eng. Yating Zhang, Wei Dong, Jiaxin Liu, Shangwen Wang, Deze Wang, Tiecheng Ma, Yiwei Li, Kang Yang
2025	A*	`conf`	AdaptEval: A Benchmark for Evaluating Large Language Models on Code Snippet Adaptation. ASE Tanghaoran Zhang, Xinjun Mao, Shangwen Wang, Yuxin Zhao, Yao Lu, Jin Zhang, Zhang Zhang, Kang Yang, Yue Yu
2025	J	`jnl`	AutoRIC: Automated Neural Network Repairing Based on Constrained Optimization. ACM Trans. Softw. Eng. Methodol. Xinyu Sun, Wanwei Liu, Shangwen Wang, Tingyu Chen, Ye Tao, Xiaoguang Mao
2025	J	`jnl`	CARLDA: An Approach for Stack Overflow API Mention Recognition Driven by Context and LLM-Based Data Augmentation. J. Softw. Evol. Process. Zhang Zhang, Xinjun Mao, Shangwen Wang, Kang Yang, Tanghaoran Zhang, Yao Lu
2025	J	`jnl`	Divide-and-Conquer: Automating Code Revisions via Localization-and-Revision. ACM Trans. Softw. Eng. Methodol. Shangwen Wang, Bo Lin, Liqian Chen, Xiaoguang Mao
2025	J	`jnl`	Don't Complete It! Preventing Unhelpful Code Completion for Productive and Sustainable Neural Code Completion Systems. ACM Trans. Softw. Eng. Methodol. Zhensu Sun, Xiaoning Du, Fu Song, Shangwen Wang, Mingze Ni, Li Li, David Lo
2025	J	`jnl`	Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation. CoRR Bo Lin, Shangwen Wang, Liqian Chen, Xiaoguang Mao
2025	J	`jnl`	Exploring the Security Threats of Retriever Backdoors in Retrieval-Augmented Code Generation. CoRR Tian Li, Bo Lin, Shangwen Wang, Yusong Tan
2025	J	`jnl`	Fairness Is Not Just Ethical: Performance Trade-Off via Data Correlation Tuning to Mitigate Bias in ML Software. CoRR Ying Xiao, Shangwen Wang, Sicen Liu, Dingyuan Xue, Xian Zhan, Yepang Liu, Jie M. Zhang
2025	J	`jnl`	GTE: learning code AST representation efficiently and effectively. Sci. China Inf. Sci. Yihao Qin, Shangwen Wang, Bo Lin, Kang Yang, Xiaoguang Mao
2025	A*	`conf`	Give LLMs a Security Course: Securing Retrieval-Augmented Code Generation via Knowledge Injection. CCS Bo Lin, Shangwen Wang, Yihao Qin, Liqian Chen, Xiaoguang Mao
2025	J	`jnl`	Give LLMs a Security Course: Securing Retrieval-Augmented Code Generation via Knowledge Injection. CoRR Bo Lin, Shangwen Wang, Yihao Qin, Liqian Chen, Xiaoguang Mao
2025	—	`conf`	Identifying Knowledge Editing Types in Large Language Models. KDD (2) Xiaopeng Li, Shasha Li, Shangwen Wang, Shezheng Song, Bin Ji, Huijun Liu, Jun Ma, Jie Yu
2025	A	`conf`	Improving API Knowledge Comprehensibility: A Context-Dependent Entity Detection and Context Completion Approach Using LLM. SANER Zhang Zhang, Xinjun Mao, Shangwen Wang, Kang Yang, Tanghaoran Zhang, Fei Gao, Xunhui Zhang
2025	A*	`conf`	Instruct or Interact? Exploring and Eliciting LLMs' Capability in Code Snippet Adaptation Through Prompt Engineering. ICSE Tanghaoran Zhang, Yue Yu, Xinjun Mao, Shangwen Wang, Kang Yang, Yao Lu, Zhang Zhang, Yuxin Zhao
2025	J	`jnl`	Keep It Simple: Self-Adaptive Code Graph Simplification for Accurate Vulnerability Detection. IEEE Trans. Software Eng. Xin Peng, Shangwen Wang, Yihao Qin, Bo Lin, Liqian Chen, Jieren Cheng, Xiaoguang Mao
2025	B	`conf`	LSAQ: Layer-Specific Adaptive Quantization for Large Language Model Deployment. IJCNN Binrui Zeng, Bin Ji, Xiaodong Liu, Jie Yu, Shasha Li, Jun Ma, Xiaopeng Li, Shangwen Wang, Xinran Hong, Yongtao Tang
2025	A	`conf`	Large Language Models Are Qualified Benchmark Builders: Rebuilding Pre-Training Datasets for Advancing Code Intelligence Tasks. ICPC Kang Yang, Xinjun Mao, Shangwen Wang, Yanlin Wang, Tanghaoran Zhang, Bo Lin, Yihao Qin, Zhang Zhang, Yao Lu, Kamal Al-Sabahi
2025	J	`jnl`	Large Language Models are Qualified Benchmark Builders: Rebuilding Pre-Training Datasets for Advancing Code Intelligence Tasks. CoRR Kang Yang, Xinjun Mao, Shangwen Wang, Yanlin Wang, Tanghaoran Zhang, Bo Lin, Yihao Qin, Zhang Zhang, Yao Lu, Kamal Al-Sabahi
2025	J	`jnl`	Large Language Models-Aided Program Debloating. CoRR Bo Lin, Shangwen Wang, Yihao Qin, Liqian Chen, Xiaoguang Mao
2025	J	`jnl`	Large Language Models-Aided Program Debloating. IEEE Trans. Software Eng. Bo Lin, Shangwen Wang, Yihao Qin, Liqian Chen, Xiaoguang Mao
2025	A*	`conf`	Learning Feasible Causal Algorithmic Recourse: A Prior Structural Knowledge Free Approach. WWW Haotian Wang, Hao Zou, Xueguang Zhou, Shangwen Wang, Wenjing Yang, Peng Cui
2025	A*	`conf`	Let the Code Speak: Incorporating Program Dynamic State for Better Method-Level Fault Localization. ASE Yihao Qin, Shangwen Wang, Bo Lin, Xin Peng, Sheng Ouyang, Liqian Chen, Xiaoguang Mao
2025	J	`jnl`	MiSum: Multi-modality Heterogeneous Code Graph Learning for Multi-intent Binary Code Summarization. Proc. ACM Softw. Eng. Kangchen Zhu, Zhiliang Tian, Shangwen Wang, Weiguo Chen, Zixuan Dong, Mingyue Leng, Xiaoguang Mao
2025	J	`jnl`	Mitigating Sensitive Information Leakage in LLMs4Code through Machine Unlearning. CoRR Ruotong Geng, Mingyang Geng, Shangwen Wang, Haotian Wang, Zhipeng Lin, Dezun Dong
2025	A*	`conf`	Model Editing for LLMs4Code: How Far are we? ICSE Xiaopeng Li, Shangwen Wang, Shasha Li, Jun Ma, Jie Yu, Xiaodong Liu, Jing Wang, Bin Ji, Weimin Zhang
2025	J	`jnl`	Smoke and Mirrors: Jailbreaking LLM-based Code Generation via Implicit Malicious Prompts. CoRR Sheng Ouyang, Yihao Qin, Bo Lin, Liqian Chen, Xiaoguang Mao, Shangwen Wang
2025	J	`jnl`	SoapFL: A Standard Operating Procedure for LLM-Based Method-Level Fault Localization. IEEE Trans. Software Eng. Yihao Qin, Shangwen Wang, Yiling Lou, Jinhao Dong, Kaixin Wang, Xiaoling Li, Xiaoguang Mao
2025	J	`jnl`	Step More: Going Beyond Single Backpropagation in Meta Learning Based Model Editing. CoRR Xiaopeng Li, Shasha Li, Xi Wang, Shezheng Song, Bin Ji, Shangwen Wang, Jun Ma, Xiaodong Liu, Mina Liu, Jie Yu
2025	C	`conf`	Trace: Test Repair via Agent-based Context Extraction with LLMs. APSEC Jingxiang Tu, Bo Lin, Yihao Qin, Shangwen Wang, Liqian Chen, Xiaoguang Mao
2024	J	`jnl`	AgentFL: Scaling LLM-based Fault Localization to Project-Level Context. CoRR Yihao Qin, Shangwen Wang, Yiling Lou, Jinhao Dong, Kaixin Wang, Xiaoling Li, Xiaoguang Mao
2024	A	`conf`	CAREER: Context-Aware API Recognition with Data Augmentation for API Knowledge Extraction. ICPC Zhang Zhang, Xinjun Mao, Shangwen Wang, Kang Yang, Yao Lu
2024	J	`jnl`	Fault Localization from the Semantic Code Search Perspective. CoRR Yihao Qin, Shangwen Wang, Yan Lei, Zhuo Zhang, Bo Lin, Xin Peng, Liqian Chen, Xiaoguang Mao
2024	J	`jnl`	Fusing Code Searchers. IEEE Trans. Software Eng. Shangwen Wang, Mingyang Geng, Bo Lin, Zhensu Sun, Ming Wen, Yepang Liu, Li Li, Tegawendé F. Bissyandé, Xiaoguang Mao
2024	J	`jnl`	Identifying Knowledge Editing Types in Large Language Models. CoRR Xiaopeng Li, Shangwen Wang, Shezheng Song, Bin Ji, Huijun Liu, Shasha Li, Jun Ma, Jie Yu
2024	J	`jnl`	Instruct or Interact? Exploring and Eliciting LLMs' Capability in Code Snippet Adaptation Through Prompt Engineering. CoRR Tanghaoran Zhang, Yue Yu, Xinjun Mao, Shangwen Wang, Kang Yang, Yao Lu, Zhang Zhang, Yuxin Zhao
2024	J	`jnl`	Keep It Simple: Towards Accurate Vulnerability Detection for Large Code Graphs. CoRR Xin Peng, Shangwen Wang, Yihao Qin, Bo Lin, Liqian Chen, Xiaoguang Mao
2024	J	`jnl`	LSAQ: Layer-Specific Adaptive Quantization for Large Language Model Deployment. CoRR Binrui Zeng, Bin Ji, Xiaodong Liu, Jie Yu, Shasha Li, Jun Ma, Xiaopeng Li, Shangwen Wang, Xinran Hong
2024	A*	`conf`	Large Language Models are Few-Shot Summarizers: Multi-Intent Comment Generation via In-Context Learning. ICSE Mingyang Geng, Shangwen Wang, Dezun Dong, Haotian Wang, Ge Li, Zhi Jin, Xiaoguang Mao, Xiangke Liao
2024	—	`conf`	Learning Feasible Causal Algorithmic Recourse without Prior Structure. ICDM (Workshops) Haotian Wang, Hao Zou, Xueguang Zhou, Shangwen Wang, Long Lan, Wenjing Yang, Peng Cui
2024	J	`jnl`	Model Editing for LLMs4Code: How Far are We? CoRR Xiaopeng Li, Shangwen Wang, Shasha Li, Jun Ma, Jie Yu, Xiaodong Liu, Jing Wang, Bin Ji, Weimin Zhang
2024	A	`conf`	One Size Does Not Fit All: Multi-granularity Patch Generation for Better Automated Program Repair. ISSTA Bo Lin, Shangwen Wang, Ming Wen, Liqian Chen, Xiaoguang Mao
2024	J	`jnl`	There are More Fish in the Sea: Automated Vulnerability Repair via Binary Templates. CoRR Bo Lin, Shangwen Wang, Liqian Chen, Xiaoguang Mao
2024	A*	`conf`	When Neural Code Completion Models Size up the Situation: Attaining Cheaper and Faster Completion through Dynamic Model Inference. ICSE Zhensu Sun, Xiaoning Du, Fu Song, Shangwen Wang, Li Li
2024	J	`jnl`	When Neural Code Completion Models Size up the Situation: Attaining Cheaper and Faster Completion through Dynamic Model Inference. CoRR Zhensu Sun, Xiaoning Du, Fu Song, Shangwen Wang, Li Li
2023	J	`jnl`	An Empirical Study on Using Large Language Models for Multi-Intent Comment Generation. CoRR Mingyang Geng, Shangwen Wang, Dezun Dong, Haotian Wang, Ge Li, Zhi Jin, Xiaoguang Mao, Xiangke Liao
2023	A	`conf`	An Extensive Study of the Structure Features in Transformer-based Code Semantic Summarization. ICPC Kang Yang, Xinjun Mao, Shangwen Wang, Yihao Qin, Tanghaoran Zhang, Yao Lu, Kamal Al-Sabahi
2023	—	`conf`	An Extensive Study on Adversarial Attack against Pre-trained Models of Code. ESEC/SIGSOFT FSE Xiaohu Du, Ming Wen, Zichao Wei, Shangwen Wang, Hai Jin
2023	J	`jnl`	An Extensive Study on Adversarial Attack against Pre-trained Models of Code. CoRR Xiaohu Du, Ming Wen, Zichao Wei, Shangwen Wang, Hai Jin
2023	J	`jnl`	CCT5: A Code-Change-Oriented Pre-Trained Model. CoRR Bo Lin, Shangwen Wang, Zhongxin Liu, Yepang Liu, Xin Xia, Xiaoguang Mao
2023	—	`conf`	CCT5: A Code-Change-Oriented Pre-trained Model. ESEC/SIGSOFT FSE Bo Lin, Shangwen Wang, Zhongxin Liu, Yepang Liu, Xin Xia, Xiaoguang Mao
2023	—	`conf`	Don't Complete It! Preventing Unhelpful Code Completion for Productive and Sustainable Neural Code Completion Systems. ICSE Companion Zhensu Sun, Xiaoning Du, Fu Song, Shangwen Wang, Mingze Ni, Li Li
2023	J	`jnl`	Enhancing Code Intelligence Tasks with ChatGPT. CoRR Kang Yang, Xinjun Mao, Shangwen Wang, Tanghaoran Zhang, Bo Lin, Yanlin Wang, Yihao Qin, Zhang Zhang, Xiaoguang Mao
2023	J	`jnl`	FITNESS: A Causal De-correlation Approach for Mitigating Bias in Machine Learning Software. CoRR Ying Xiao, Shangwen Wang, Sicen Liu, Dingyuan Xue, Xian Zhan, Yepang Liu
2023	A	`conf`	Interpretation-based Code Summarization. ICPC Mingyang Geng, Shangwen Wang, Dezun Dong, Haotian Wang, Shaomeng Cao, Kechi Zhang, Zhi Jin
2023	—	`conf`	Natural Language to Code: How Far Are We? ESEC/SIGSOFT FSE Shangwen Wang, Mingyang Geng, Bo Lin, Zhensu Sun, Ming Wen, Yepang Liu, Li Li, Tegawendé F. Bissyandé, Xiaoguang Mao
2023	J	`jnl`	Pre-implementation Method Name Prediction for Object-oriented Programming. ACM Trans. Softw. Eng. Methodol. Shangwen Wang, Ming Wen, Bo Lin, Yepang Liu, Tegawendé F. Bissyandé, Xiaoguang Mao
2023	J	`jnl`	Predictive Comment Updating With Heuristics and AST-Path-Based Neural Learning: A Two-Phase Approach. IEEE Trans. Software Eng. Bo Lin, Shangwen Wang, Zhongxin Liu, Xin Xia, Xiaoguang Mao
2023	J	`jnl`	Two Birds with One Stone: Boosting Code Generation and Code Search via a Generative Adversarial Network. Proc. ACM Program. Lang. Shangwen Wang, Bo Lin, Zhensu Sun, Ming Wen, Yepang Liu, Yan Lei, Xiaoguang Mao
2022	J	`jnl`	A fine-grained data set and analysis of tangling in bug fixing commits. Empir. Softw. Eng. Steffen Herbold, Alexander Trautsch, Benjamin Ledel, Alireza Aghamohammadi, Taher Ahmed Ghaleb, Kuljit Kaur Chahal, Tim Bossenmaier, Bhaveet Nagaria, Philip Makedonski, Matin Nili Ahmadabadi, Kristóf Szabados, Helge Spieker, Matej Madeja, Nathaniel Hoy, Valentina Lenarduzzi, Shangwen Wang, Gema Rodríguez-Pérez, Ricardo Colomo-Palacios, Roberto Verdecchia, Paramvir Singh, Yihao Qin, Debasish Chakroborti, Willard Davis, Vijay Walunj, Hongjun Wu, Diego Marcilio, Omar Alam, Abdullah Aldaeej, Idan Amit, Burak Turhan, Simon Eismann, Anna-Katharina Wickert, Ivano Malavolta, Matús Sulír, Fatemeh H. Fard, Austin Z. Henley, Stratos Kourtzanidis, Eray Tuzun, Christoph Treude, Simin Maleki Shamasbi, Ivan Pashchenko, Marvin Wyrich, James C. Davis, Alexander Serebrenik, Ella Albrecht, Ethem Utku Aktas, Daniel Strüber, Johannes Erbel
2022	J	`jnl`	Context-Aware Code Change Embedding for Better Patch Correctness Assessment. ACM Trans. Softw. Eng. Methodol. Bo Lin, Shangwen Wang, Ming Wen, Xiaoguang Mao
2022	A	`conf`	Fine-grained code-comment semantic interaction analysis. ICPC Mingyang Geng, Shangwen Wang, Dezun Dong, Shanzhi Gu, Fang Peng, Weijian Ruan, Xiangke Liao
2022	J	`jnl`	Is this Change the Answer to that Problem? Correlating Descriptions of Bug and Code Changes for Evaluating Patch Correctness. CoRR Haoye Tian, Xunzhu Tang, Andrew Habib, Shangwen Wang, Kui Liu, Xin Xia, Jacques Klein, Tegawendé F. Bissyandé
2022	A*	`conf`	Is this Change the Answer to that Problem?: Correlating Descriptions of Bug and Code Changes for Evaluating Patch Correctness. ASE Haoye Tian, Xunzhu Tang, Andrew Habib, Shangwen Wang, Kui Liu, Xin Xia, Jacques Klein, Tegawendé F. Bissyandé
2022	J	`jnl`	Learning to Prevent Profitless Neural Code Completion. CoRR Zhensu Sun, Xiaoning Du, Fu Song, Shangwen Wang, Mingze Ni, Li Li
2022	A	`conf`	On the Way to Microservices: Exploring Problems and Solutions from Online Q&A Community. SANER Menghan Wu, Yang Zhang, Jiakun Liu, Shangwen Wang, Zhang Zhang, Xin Xia, Xinjun Mao
2022	A	`conf`	Peeler: Learning to Effectively Predict Flakiness without Running Tests. ICSME Yihao Qin, Shangwen Wang, Kui Liu, Bo Lin, Hongjun Wu, Li Li, Xiaoguang Mao, Tegawendé F. Bissyandé
2022	A	`conf`	Recommending Base Image for Docker Containers based on Deep Configuration Comprehension. SANER Yinyuan Zhang, Yang Zhang, Xinjun Mao, Yiwen Wu, Bo Lin, Shangwen Wang
2022	A*	`conf`	Reentrancy Vulnerability Detection and Localization: A Deep Learning Based Two-phase Approach. ASE Zhuo Zhang, Yan Lei, Meng Yan, Yue Yu, Jiachi Chen, Shangwen Wang, Xiaoguang Mao
2021	A	`conf`	Automated Comment Update: How Far are We? ICPC Bo Lin, Shangwen Wang, Kui Liu, Xiaoguang Mao, Tegawendé F. Bissyandé
2021	J	`jnl`	Beep: Fine-grained Fix Localization by Learning to Predict Buggy Code Elements. CoRR Shangwen Wang, Kui Liu, Bo Lin, Li Li, Jacques Klein, Xiaoguang Mao, Tegawendé F. Bissyandé
2021	—	`conf`	Lightweight global and local contexts guided method name recommendation with prior knowledge. ESEC/SIGSOFT FSE Shangwen Wang, Ming Wen, Bo Lin, Xiaoguang Mao
2021	A	`conf`	On the Impact of Flaky Tests in Automated Program Repair. SANER Yihao Qin, Shangwen Wang, Kui Liu, Xiaoguang Mao, Tegawendé F. Bissyandé
2021	A	`conf`	Peculiar: Smart Contract Vulnerability Detection Based on Crucial Data Flow Graph and Pre-training Techniques. ISSRE Hongjun Wu, Zhuo Zhang, Shangwen Wang, Yan Lei, Bo Lin, Yihao Qin, Haoyu Zhang, Xiaoguang Mao
2020	C	`conf`	An Empirical Study on the Influence of Social Interactions for the Acceptance of Answers in Stack Overflow. APSEC Zhang Zhang, Xinjun Mao, Yao Lu, Shangwen Wang, Jinyu Lu
2020	A*	`conf`	Automated Patch Correctness Assessment: How Far are We? ASE Shangwen Wang, Ming Wen, Bo Lin, Hongjun Wu, Yihao Qin, Deqing Zou, Xiaoguang Mao, Hai Jin
2020	J	`jnl`	Large-Scale Manual Validation of Bug Fixing Commits: A Fine-grained Analysis of Tangling. CoRR Steffen Herbold, Alexander Trautsch, Benjamin Ledel, Alireza Aghamohammadi, Taher Ahmed Ghaleb, Kuljit Kaur Chahal, Tim Bossenmaier, Bhaveet Nagaria, Philip Makedonski, Matin Nili Ahmadabadi, Kristóf Szabados, Helge Spieker, Matej Madeja, Nathaniel Hoy, Valentina Lenarduzzi, Shangwen Wang, Gema Rodríguez-Pérez, Ricardo Colomo-Palacios, Roberto Verdecchia, Paramvir Singh, Yihao Qin, Debasish Chakroborti, Willard Davis, Vijay Walunj, Hongjun Wu, Diego Marcilio, Omar Alam, Abdullah Aldaeej, Idan Amit, Burak Turhan, Simon Eismann, Anna-Katharina Wickert, Ivano Malavolta, Matús Sulír, Fatemeh H. Fard, Austin Z. Henley, Stratos Kourtzanidis, Eray Tuzun, Christoph Treude, Simin Maleki Shamasbi, Ivan Pashchenko, Marvin Wyrich, James C. Davis, Alexander Serebrenik, Ella Albrecht, Ethem Utku Aktas, Daniel Strüber, Johannes Erbel
2020	J	`jnl`	On the Efficiency of Test Suite based Program Repair: A Systematic Assessment of 16 Automated Repair Systems for Java Programs. CoRR Kui Liu, Shangwen Wang, Anil Koyuncu, Kisub Kim, Tegawendé F. Bissyandé, Dongsun Kim, Peng Wu, Jacques Klein, Xiaoguang Mao, Yves Le Traon
2020	A*	`conf`	On the efficiency of test suite based program repair: A Systematic Assessment of 16 Automated Repair Systems for Java Programs. ICSE Kui Liu, Shangwen Wang, Anil Koyuncu, Kisub Kim, Tegawendé F. Bissyandé, Dongsun Kim, Peng Wu, Jacques Klein, Xiaoguang Mao, Yves Le Traon
2020	C	`conf`	Understanding the Non-Repairability Factors of Automated Program Repair Techniques. APSEC Bo Lin, Shangwen Wang, Ming Wen, Zhang Zhang, Hongjun Wu, Yihao Qin, Xiaoguang Mao
2019	A	`conf`	Attention Please: Consider Mockito when Evaluating Newly Proposed Automated Program Repair Techniques. EASE Shangwen Wang, Ming Wen, Xiaoguang Mao, Deheng Yang
2019	J	`jnl`	Dissection on Java Organs in GitHub Repositories. IEEE Access Shangwen Wang, Xiaoguang Mao, Xin Yi
2019	J	`jnl`	History-Driven Fix for Code Quality Issues. IEEE Access Jiangtao Xue, Xinjun Mao, Yao Lu, Yue Yu, Shangwen Wang
2019	A	`conf`	How Different Is It Between Machine-Generated and Developer-Provided Patches? : An Empirical Study on the Correct Patches Generated by Automated Program Repair Techniques. ESEM Shangwen Wang, Ming Wen, Liqian Chen, Xin Yi, Xiaoguang Mao
2019	J	`jnl`	How Different Is It Between Machine-Generated and Developer-Provided Patches? An Empirical Study on The Correct Patches Generated by Automated Program Repair Techniques. CoRR Shangwen Wang, Ming Wen, Liqian Chen, Xin Yi, Xiaoguang Mao
2019	C	`conf`	Multi-Location Program Repair Strategies Learned from Successful Experience (S). SEKE Shangwen Wang, Xiaoguang Mao, Nan Niu, Xin Yi, Anbang Guo
2018	B	`conf`	A Hybrid Approach for Tag Hierarchy Construction. ICSR Shangwen Wang, Tao Wang, Xiaoguang Mao, Gang Yin, Yue Yu
2018	A	`conf`	An Empirical Study on the Effect of Dynamic Slicing on Automated Program Repair Efficiency. ICSME Anbang Guo, Xiaoguang Mao, Deheng Yang, Shangwen Wang
2018	J	`jnl`	An Initial Step Towards Organ Transplantation Based on GitHub Repository. IEEE Access Shangwen Wang, Xiaoguang Mao, Yue Yu
2018	J	`jnl`	An Initial Step Towards Organ Transplantation Based on GitHub Repository. CoRR Shangwen Wang, Xiaoguang Mao, Yue Yu
2018	J	`jnl`	Attention Please: Consider Mockito when Evaluating Newly Released Automated Program Repair Techniques. CoRR Shangwen Wang, Ming Wen, Deheng Yang, Xiaoguang Mao
2018	J	`jnl`	Multi-Location Program Repair: Roads Ahead. CoRR Shangwen Wang, Xiaoguang Mao, Nan Niu, Xin Yi, Anbang Guo