An empirical study of bug report field reassignment. - Xin Xia 001; David Lo 001; Ming Wen 001; Emad Shihab; Bo Zhou 010 (CSMR-WCRE, 2014)

Locus: locating bugs from software changes. - Ming Wen 001; Rongxin Wu; Shing-Chi Cheung (ASE, 2016)

An Empirical Analysis of the Influence of Fault Space on Search-Based Automated Program Repair. - Ming Wen 001; Junjie Chen 003; Rongxin Wu; Dan Hao 001; Shing-Chi Cheung (CoRR, 2017)

Context-aware patch generation for better automated program repair. - Ming Wen 001; Junjie Chen 003; Rongxin Wu; Dan Hao 001; Shing-Chi Cheung (ICSE, 2018)

Do the dependency conflicts in my project matter? - Ying Wang 038; Ming Wen 001; Zhenwei Liu 001; Rongxin Wu; Rui Wang; Bo Yang; Hai Yu 001; Zhiliang Zhu 001; Shing-Chi Cheung (ESEC/SIGSOFT FSE, 2018)

Attention Please: Consider Mockito when Evaluating Newly Released Automated Program Repair Techniques. - Shangwen Wang; Ming Wen 001; Deheng Yang; Xiaoguang Mao (CoRR, 2018)

ChangeLocator: locate crash-inducing changes based on crash reports. - Rongxin Wu; Ming Wen 001; Shing-Chi Cheung; Hongyu Zhang 002 (Empir. Softw. Eng., 2018)

Attention Please: Consider Mockito when Evaluating Newly Proposed Automated Program Repair Techniques. - Shangwen Wang; Ming Wen 001; Xiaoguang Mao; Deheng Yang (EASE, 2019)

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 001; Liqian Chen; Xin Yi; Xiaoguang Mao (ESEM, 2019)

Could I have a stack trace to examine the dependency conflict issue? - Ying Wang 038; Ming Wen 001; Rongxin Wu; Zhenwei Liu 001; Shin Hwei Tan; Zhiliang Zhu 001; Hai Yu 001; Shing-Chi Cheung (ICSE, 2019)

Exposing library API misuses via mutation analysis. - Ming Wen 001; Yepang Liu 001; Rongxin Wu; Xuan Xie; Shing-Chi Cheung; Zhendong Su 001 (ICSE, 2019)

Exploring and exploiting the correlations between bug-inducing and bug-fixing commits. - Ming Wen 001; Rongxin Wu; Yepang Liu 001; Yongqiang Tian 001; Xuan Xie; Shing-Chi Cheung; Zhendong Su 001 (ESEC/SIGSOFT FSE, 2019)

Testing Deep Learning Models for Image Analysis Using Object-Relevant Metamorphic Relations. - Yongqiang Tian 001; Shiqing Ma; Ming Wen 001; Yepang Liu 001; Shing-Chi Cheung; Xiangyu Zhang 001 (CoRR, 2019)

Understanding the Non-Repairability Factors of Automated Program Repair Techniques. - Bo Lin; Shangwen Wang; Ming Wen 001; Zhang Zhang 005; Hongjun Wu; Yihao Qin; Xiaoguang Mao (APSEC, 2020)

EvalDNN: a toolbox for evaluating deep neural network models. - Yongqiang Tian 001; Zhihua Zeng; Ming Wen 001; Yepang Liu 001; Tzu-yang Kuo; Shing-Chi Cheung (ICSE (Companion Volume), 2020)

Watchman: monitoring dependency conflicts for Python library ecosystem. - Ying Wang 038; Ming Wen 001; Yepang Liu 001; Yibo Wang 008; Zhenming Li; Chao Wang; Hai Yu 001; Shing-Chi Cheung; Chang Xu 001; Zhiliang Zhu 001 (ICSE, 2020)

Boosting automated program repair with bug-inducing commits. - Ming Wen 001; Yepang Liu 001; Shing-Chi Cheung (ICSE (NIER), 2020)

An Exploratory Study of Bugs in Extended Reality Applications on the Web. - Shuqing Li 001; Yechang Wu; Yi Liu 069; Dinghua Wang; Ming Wen 001; Yida Tao; Yulei Sui; Yepang Liu 001 (ISSRE, 2020)

Automated Patch Correctness Assessment: How Far are We? - Shangwen Wang; Ming Wen 001; Bo Lin; Hongjun Wu; Yihao Qin; Deqing Zou; Xiaoguang Mao; Hai Jin 001 (ASE, 2020)

MockSniffer: Characterizing and Recommending Mocking Decisions for Unit Tests. - Hengcheng Zhu 001; Lili Wei 001; Ming Wen 001; Yepang Liu 001; Shing-Chi Cheung; Qin Sheng; Cui Zhou (ASE, 2020)

How Do Python Framework APIs Evolve? An Exploratory Study. - Zhaoxu Zhang; Hengcheng Zhu 001; Ming Wen 001; Yida Tao; Yepang Liu 001; Yingfei Xiong 001 (SANER, 2020)

SemMT: A Semantic-based Testing Approach for Machine Translation Systems. - Jialun Cao; Meiziniu Li; Yeting Li; Ming Wen 001; Shing-Chi Cheung (CoRR, 2020)

How Well Do Change Sequences Predict Defects? Sequence Learning from Software Changes. - Ming Wen 001; Rongxin Wu; Shing-Chi Cheung (IEEE Trans. Software Eng., 2020)

MockSniffer. - Hengcheng Zhu 001; Lili Wei 001; Ming Wen 001; Yepang Liu 001; Shing-Chi Cheung; Qin Sheng; Cui Zhou (Zenodo, 2020)

Characterizing and Detecting Configuration Compatibility Issues in Android Apps. - Huaxun Huang; Ming Wen 001; Lili Wei 001; Yepang Liu 001; Shing-Chi Cheung (ASE, 2021)

Characterizing Transaction-Reverting Statements in Ethereum Smart Contracts. - Lu Liu; Lili Wei 001; Wuqi Zhang; Ming Wen 001; Yepang Liu 001; Shing-Chi Cheung (ASE, 2021)

Why Do Developers Remove Lambda Expressions in Java? - Mingwei Zheng; Jun Yang; Ming Wen 001; Hengcheng Zhu 001; Yepang Liu 001; Hai Jin 001 (ASE, 2021)

Lightweight global and local contexts guided method name recommendation with prior knowledge. - Shangwen Wang; Ming Wen 001; Bo Lin; Xiaoguang Mao (ESEC/SIGSOFT FSE, 2021)

Understanding and Facilitating the Co-Evolution of Production and Test Code. - Sinan Wang; Ming Wen 001; Yepang Liu 001; Ying Wang 038; Rongxin Wu (SANER, 2021)

Fast Test Input Generation for Finding Deviated Behaviors in Compressed Deep Neural Network. - Yongqiang Tian 001; Wuqi Zhang; Ming Wen 001; Shing-Chi Cheung; Chengnian Sun; Shiqing Ma; Yu Jiang 001 (CoRR, 2021)

To what extent do DNN-based image classification models make unreliable inferences? - Yongqiang Tian 001; Shiqing Ma; Ming Wen 001; Yepang Liu 001; Shing-Chi Cheung; Xiangyu Zhang 001 (Empir. Softw. Eng., 2021)

Historical Spectrum Based Fault Localization. - Ming Wen 001; Junjie Chen 003; Yongqiang Tian 001; Rongxin Wu; Dan Hao 001; Shi Han; Shing-Chi Cheung (IEEE Trans. Software Eng., 2021)

DeepFD: Automated Fault Diagnosis and Localization for Deep Learning Programs. - Jialun Cao; Meiziniu Li; Xiao Chen; Ming Wen 001; Yongqiang Tian 001; Bo Wu 018; Shing-Chi Cheung (ICSE, 2022)

Isolating Compiler Optimization Faults via Differentiating Finer-grained Options. - Jing Yang 051; Yibiao Yang; Maolin Sun; Ming Wen 001; Yuming Zhou; Hai Jin 001 (SANER, 2022)

Attention: Not Just Another Dataset for Patch-Correctness Checking. - Yuehan Wang; Jun Yang; Yiling Lou; Ming Wen 001; Lingming Zhang 001 (CoRR, 2022)

MEMO: Coverage-guided Model Generation For Deep Learning Library Testing. - Meiziniu Li; Jialun Cao; Yongqiang Tian 001; Tsz On Li; Ming Wen 001; Shing-Chi Cheung (CoRR, 2022)

Demystifying Ethereum account diversity: observations, models and analysis. - Chaofan Wang; Xiaohai Dai; Jiang Xiao; Chenchen Li; Ming Wen 001; Bingbing Zhou; Hai Jin 001 (Frontiers Comput. Sci., 2022)

SemMT: A Semantic-Based Testing Approach for Machine Translation Systems. - Jialun Cao; Meiziniu Li; Yeting Li; Ming Wen 001; Shing-Chi Cheung; Haiming Chen 001 (ACM Trans. Softw. Eng. Methodol., 2022)

Context-Aware Code Change Embedding for Better Patch Correctness Assessment. - Bo Lin; Shangwen Wang; Ming Wen 001; Xiaoguang Mao (ACM Trans. Softw. Eng. Methodol., 2022)

Aroc: An Automatic Repair Framework for On-Chain Smart Contracts. - Hai Jin 001; Zeli Wang; Ming Wen 001; Weiqi Dai; Yu Zhu; Deqing Zou (IEEE Trans. Software Eng., 2022)

Will Dependency Conflicts Affect My Program's Semantics? - Ying Wang 038; Rongxin Wu; Chao Wang; Ming Wen 001; Yepang Liu 001; Shing-Chi Cheung; Hai Yu 001; Chang Xu 001; Zhiliang Zhu 001 (IEEE Trans. Software Eng., 2022)

Detecting JVM JIT Compiler Bugs via Exploring Two-Dimensional Input Spaces. - Haoxiang Jia; Ming Wen 001; Zifan Xie; Xiaochen Guo; Rongxin Wu; Maolin Sun; Kang Chen; Hai Jin 001 (ICSE, 2023)

Validating SMT Solvers via Skeleton Enumeration Empowered by Historical Bug-Triggering Inputs. - Maolin Sun; Yibiao Yang; Ming Wen 001; Yongcong Wang; Yuming Zhou; Hai Jin 001 (ICSE, 2023)

Understanding the Threats of Upstream Vulnerabilities to Downstream Projects in the Maven Ecosystem. - Yulun Wu; Zeliang Yu; Ming Wen 001; Qiang Li; Deqing Zou; Hai Jin 001 (ICSE, 2023)

Comparing the Performance of Different Code Representations for Learning-based Vulnerability Detection. - Yuting Zhang; Jiahao Zhu; Yixin Yang; Ming Wen 001; Hai Jin 001 (Internetware, 2023)

ConfFix: Repairing Configuration Compatibility Issues in Android Apps. - Huaxun Huang; Chi Xu; Ming Wen 001; Yepang Liu 001; Shing-Chi Cheung (ISSTA, 2023)

Precise and Efficient Patch Presence Test for Android Applications against Code Obfuscation. - Zifan Xie; Ming Wen 001; Haoxiang Jia; Xiaochen Guo; Xiaotong Huang; Deqing Zou; Hai Jin 001 (ISSTA, 2023)

Effective Concurrency Testing for Go via Directional Primitive-Constrained Interleaving Exploration. - Zongze Jiang; Ming Wen 001; Yixin Yang; Chao Peng 002; Ping Yang; Hai Jin 001 (ASE, 2023)

SMT Solver Validation Empowered by Large Pre-Trained Language Models. - Maolin Sun; Yibiao Yang; Yang Wang 165; Ming Wen 001; Haoxiang Jia; Yuming Zhou (ASE, 2023)

Testing Coreference Resolution Systems without Labeled Test Sets. - Jialun Cao; Yaojie Lu 001; Ming Wen 001; Shing-Chi Cheung (ESEC/SIGSOFT FSE, 2023)

An Extensive Study on Adversarial Attack against Pre-trained Models of Code. - Xiaohu Du; Ming Wen 001; Zichao Wei; Shangwen Wang; Hai Jin 001 (ESEC/SIGSOFT FSE, 2023)

Understanding the Bug Characteristics and Fix Strategies of Federated Learning Systems. - Xiaohu Du; Xiao Chen; Jialun Cao; Ming Wen 001; Shing-Chi Cheung; Hai Jin 001 (ESEC/SIGSOFT FSE, 2023)

Natural Language to Code: How Far Are We? - Shangwen Wang; Mingyang Geng; Bo Lin; Zhensu Sun; Ming Wen 001; Yepang Liu 001; Li Li 029; Tegawendé F. Bissyandé; Xiaoguang Mao (ESEC/SIGSOFT FSE, 2023)

Heterogeneous Testing for Coverage Profilers Empowered with Debugging Support. - Yibiao Yang; Maolin Sun; Yang Wang 165; Qingyang Li; Ming Wen 001; Yuming Zhou (ESEC/SIGSOFT FSE, 2023)

A Large-Scale Empirical Review of Patch Correctness Checking Approaches. - Jun Yang; Yuehan Wang; Yiling Lou; Ming Wen 001; Lingming Zhang 001 (ESEC/SIGSOFT FSE, 2023)

Empowering Practical Root Cause Analysis by Large Language Models for Cloud Incidents. - Yinfang Chen; Huaibing Xie; Minghua Ma; Yu Kang 006; Xin Gao; Liu Shi; Yunjie Cao; Xuedong Gao; Hao Fan; Ming Wen 001; Jun Zeng 006; Supriyo Ghosh; et al. (CoRR, 2023)

Effective Isolation of Fault-Correlated Variables via Statistical and Mutation Analysis. - Ming Wen 001; Zifan Xie; Kaixuan Luo; Xiao Chen; Yibiao Yang; Hai Jin 001 (IEEE Trans. Software Eng., 2023)

ESEC/FSE 2023 Artifact for "Heterogeneous Testing for Coverage Profilers Empowered with Debugging Support". - Yibiao Yang; Maolin Sun; Yang Wang 165; Qingyang Li; Ming Wen 001; Yuming Zhou (Zenodo, 2023)

ESEC/FSE 2023 Artifact for "Heterogeneous Testing for Coverage Profilers Empowered with Debugging Support". - Yibiao Yang; Maolin Sun; Yang Wang 165; Qingyang Li; Ming Wen 001; Yuming Zhou (Zenodo, 2023)

ESEC/FSE 2023 Artifact for "Heterogeneous Testing for Coverage Profilers Empowered with Debugging Support". - Yibiao Yang; Maolin Sun; Yang Wang 165; Qingyang Li; Ming Wen 001; Yuming Zhou (Zenodo, 2023)

ESEC/FSE 2023 Artifact for "Heterogeneous Testing for Coverage Profilers Empowered with Debugging Support". - Yibiao Yang; Maolin Sun; Yang Wang 165; Qingyang Li; Ming Wen 001; Yuming Zhou (Zenodo, 2023)

ESEC/FSE 2023 Artifact for "Heterogeneous Testing for Coverage Profilers Empowered with Debugging Support". - Yibiao Yang; Maolin Sun; Yang Wang 165; Qingyang Li; Ming Wen 001; Yuming Zhou (Zenodo, 2023)

COMET: Coverage-guided Model Generation For Deep Learning Library Testing. - Meiziniu Li; Jialun Cao; Yongqiang Tian 001; Tsz On Li; Ming Wen 001; Shing-Chi Cheung (ACM Trans. Softw. Eng. Methodol., 2023)

Finding Deviated Behaviors of the Compressed DNN Models for Image Classifications. - Yongqiang Tian 001; Wuqi Zhang; Ming Wen 001; Shing-Chi Cheung; Chengnian Sun; Shiqing Ma; Yu Jiang 001 (ACM Trans. Softw. Eng. Methodol., 2023)

Toward Interpretable Graph Tensor Convolution Neural Network for Code Semantics Embedding. - Jia Yang; Cai Fu; Fengyang Deng; Ming Wen 001; Xiaowei Guo; Chuanhao Wan (ACM Trans. Softw. Eng. Methodol., 2023)

Two Birds with One Stone: Boosting Code Generation and Code Search via a Generative Adversarial Network. - Shangwen Wang; Bo Lin; Zhensu Sun; Ming Wen 001; Yepang Liu 001; Yan Lei; Xiaoguang Mao (Proc. ACM Program. Lang., 2023)

Evaluating seed selection for fuzzing JavaScript engines. - Ming Wen 001; Yongcong Wang; Yifan Xia; Hai Jin 001 (Empir. Softw. Eng., 2023)

Pre-implementation Method Name Prediction for Object-oriented Programming. - Shangwen Wang; Ming Wen 001; Bo Lin; Yepang Liu 001; Tegawendé F. Bissyandé; Xiaoguang Mao (ACM Trans. Softw. Eng. Methodol., 2023)

Generalization-Enhanced Code Vulnerability Detection via Multi-Task Instruction Fine-Tuning. - Xiaohu Du; Ming Wen 001; Jiahao Zhu; Zifan Xie; Bin Ji 002; Huijun Liu 003; Xuanhua Shi; Hai Jin 001 (ACL (Findings), 2024)

Validating JVM Compilers via Maximizing Optimization Interactions. - Zifan Xie; Ming Wen 001; Shiyu Qiu; Hai Jin 001 (ASPLOS (4), 2024)

Automatic Root Cause Analysis via Large Language Models for Cloud Incidents. - Yinfang Chen; Huaibing Xie; Minghua Ma; Yu Kang 006; Xin Gao; Liu Shi; Yunjie Cao; Xuedong Gao; Hao Fan; Ming Wen 001; Jun Zeng 006; Supriyo Ghosh; et al. (EuroSys, 2024)

One Size Does Not Fit All: Multi-granularity Patch Generation for Better Automated Program Repair. - Bo Lin; Shangwen Wang; Ming Wen 001; Liqian Chen; Xiaoguang Mao (ISSTA, 2024)

Maltracker: A Fine-Grained NPM Malware Tracker Copiloted by LLM-Enhanced Dataset. - Zeliang Yu; Ming Wen 001; Xiaochen Guo; Hai Jin 001 (ISSTA, 2024)

Towards Understanding the Effectiveness of Large Language Models on Directed Test Input Generation. - Zongze Jiang; Ming Wen 001; Jialun Cao; Xuanhua Shi; Hai Jin 001 (ASE, 2024)

Effective Vulnerable Function Identification based on CVE Description Empowered by Large Language Models. - Yulun Wu; Ming Wen 001; Zeliang Yu; Xiaochen Guo; Hai Jin 001 (ASE, 2024)

How Does Code Optimization Impact Third-party Library Detection for Android Applications? - Zifan Xie; Ming Wen 001; Tinghan Li; Yiding Zhu; Qinsheng Hou; Hai Jin 001 (ASE, 2024)

Unveiling the Characteristics and Impact of Security Patch Evolution. - Zifan Xie; Ming Wen 001; Zichao Wei; Hai Jin 001 (ASE, 2024)

Towards Effective and Efficient Error Handling Code Fuzzing Based on Software Fault Injection. - Kang Chen; Ming Wen 001; Haoxiang Jia; Rongxin Wu; Hai Jin 001 (SANER, 2024)

Reducing False Positives of Static Bug Detectors Through Code Representation Learning. - Yixin Yang; Ming Wen 001; Xiang Gao 012; Yuting Zhang; Hailong Sun 001 (SANER, 2024)

Validating JVM Compilers via Maximizing Optimization Interactions. - Zifan Xie; Ming Wen 001; Shiyu Qiu; Hai Jin 001 (Zenodo, 2024)

Validating JVM Compilers via Maximizing Optimization Interactions. - Zifan Xie; Ming Wen 001; Shiyu Qiu; Hai Jin 001 (Zenodo, 2024)

Fusing Code Searchers. - Shangwen Wang; Mingyang Geng; Bo Lin; Zhensu Sun; Ming Wen 001; Yepang Liu 001; Li Li 029; Tegawendé F. Bissyandé; Xiaoguang Mao (IEEE Trans. Software Eng., 2024)

Unveiling the Characteristics and Impact of Security Patch Evolution. - Zifan Xie; Ming Wen 001; Zichao Wei; Hai Jin 001 (Zenodo, 2024)

Multi-Turn Jailbreaking Large Language Models via Attention Shifting. - Xiaohu Du; Fan Mo 004; Ming Wen 001; Tu Gu; Huadi Zheng; Hai Jin 001; Jie Shi (AAAI, 2025)

CRUXEVAL-X: A Benchmark for Multilingual Code Reasoning, Understanding and Execution. - Ruiyang Xu; Jialun Cao; Yaojie Lu 001; Ming Wen 001; Hongyu Lin; Xianpei Han; Ben He; Shing-Chi Cheung; Le Sun 001 (ACL (1), 2025)

SemBIC: Semantic-Aware Identification of Bug-Inducing Commits. - Xiao Chen; Hengcheng Zhu 001; Jialun Cao; Ming Wen 001; Shing-Chi Cheung (Proc. ACM Softw. Eng., 2025)

Statement-Level Adversarial Attack on Vulnerability Detection Models via Out-of-Distribution Features. - Xiaohu Du; Ming Wen 001; Haoyu Wang; Zichao Wei; Hai Jin 001 (Proc. ACM Softw. Eng., 2025)

CXXCrafter: An LLM-Based Agent for Automated C/C++ Open Source Software Building. - Zhengmin Yu; Yuan Zhang 009; Ming Wen 001; Yinan Nie; Wenhui Zhang; Min Yang 002 (Proc. ACM Softw. Eng., 2025)

An Empirical Study of Production Incidents in Generative AI Cloud Services. - Haoran Yan; Yinfang Chen; Minghua Ma; Ming Wen 001; Shan Lu 001; Shenglin Zhang; Tianyin Xu; Rujia Wang; Chetan Bansal; Saravan Rajmohan; Chaoyun Zhang; Dongmei Zhang 001 (CoRR, 2025)

A study on prompt design, advantages and limitations of ChatGPT for deep learning program repair. - Jialun Cao; Meiziniu Li; Ming Wen 001; Shing-Chi Cheung (Autom. Softw. Eng., 2025)