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ORCIDMing Wen 0001
文明
Person information
- affiliation: Huazhong University of Science and Technology, School of Cyber Science and Engineering, Wuhan, China
- affiliation (PhD 2019): Hong Kong University of Science and Technology, Hong Kong
- unicode name: 文明
Other persons with the same name
- Ming Wen — disambiguation page
- Ming Wen 0002 — Tsinghua University, Department of Automation, Beijing, China
- Ming Wen 0003
![[0000-0002-8672-2199]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-8672-2199")
— Central South University, College of Chemistry and Chemical Engineering, Changsha, China - Ming Wen 0004 — University of Electronic Science and Technology of China, School of Information and Communication Engineering, Chengdu, China
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2020 – today
- 2024
[j17]Shangwen Wang, Mingyang Geng, Bo Lin, Zhensu Sun, Ming Wen, Yepang Liu, Li Li, Tegawendé F. Bissyandé, Xiaoguang Mao:
Fusing Code Searchers. IEEE Trans. Software Eng. 50(7): 1852-1866 (2024)- [c45]Xiaohu Du, Ming Wen, Jiahao Zhu, Zifan Xie, Bin Ji, Huijun Liu, Xuanhua Shi, Hai Jin:
Generalization-Enhanced Code Vulnerability Detection via Multi-Task Instruction Fine-Tuning. ACL (Findings) 2024: 10507-10521 - [c44]Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xuedong Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo Ghosh, Xuchao Zhang, Chaoyun Zhang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Tianyin Xu:
Automatic Root Cause Analysis via Large Language Models for Cloud Incidents. EuroSys 2024: 674-688 - [c43]Bo Lin, Shangwen Wang, Ming Wen, Liqian Chen, Xiaoguang Mao:
One Size Does Not Fit All: Multi-granularity Patch Generation for Better Automated Program Repair. ISSTA 2024: 1554-1566 - [c42]Zeliang Yu, Ming Wen, Xiaochen Guo, Hai Jin:
Maltracker: A Fine-Grained NPM Malware Tracker Copiloted by LLM-Enhanced Dataset. ISSTA 2024: 1759-1771 - [c41]Kang Chen, Ming Wen, Haoxiang Jia, Rongxin Wu, Hai Jin:
Towards Effective and Efficient Error Handling Code Fuzzing Based on Software Fault Injection. SANER 2024: 320-331 - [c40]Yixin Yang, Ming Wen, Xiang Gao, Yuting Zhang, Hailong Sun:
Reducing False Positives of Static Bug Detectors Through Code Representation Learning. SANER 2024: 681-692 - [i16]Xiaohu Du, Ming Wen, Jiahao Zhu, Zifan Xie, Bin Ji, Huijun Liu, Xuanhua Shi, Hai Jin:
Generalization-Enhanced Code Vulnerability Detection via Multi-Task Instruction Fine-Tuning. CoRR abs/2406.03718 (2024) - 2023
- [j16]Ming Wen, Yongcong Wang, Yifan Xia, Hai Jin:
Evaluating seed selection for fuzzing JavaScript engines. Empir. Softw. Eng. 28(6): 133 (2023) - [j15]Shangwen Wang, Bo Lin, Zhensu Sun, Ming Wen, Yepang Liu, Yan Lei, Xiaoguang Mao:
Two Birds with One Stone: Boosting Code Generation and Code Search via a Generative Adversarial Network. Proc. ACM Program. Lang. 7(OOPSLA2): 486-515 (2023) - [j14]Jia Yang, Cai Fu, Fengyang Deng, Ming Wen, Xiaowei Guo, Chuanhao Wan:
Toward Interpretable Graph Tensor Convolution Neural Network for Code Semantics Embedding. ACM Trans. Softw. Eng. Methodol. 32(5): 115:1-115:40 (2023) - [j13]Meiziniu Li, Jialun Cao, Yongqiang Tian, Tsz On Li, Ming Wen, Shing-Chi Cheung:
COMET: Coverage-guided Model Generation For Deep Learning Library Testing. ACM Trans. Softw. Eng. Methodol. 32(5): 127:1-127:34 (2023) - [j12]Yongqiang Tian, Wuqi Zhang, Ming Wen, Shing-Chi Cheung, Chengnian Sun, Shiqing Ma, Yu Jiang:
Finding Deviated Behaviors of the Compressed DNN Models for Image Classifications. ACM Trans. Softw. Eng. Methodol. 32(5): 128:1-128:32 (2023) - [j11]Shangwen Wang, Ming Wen, Bo Lin, Yepang Liu, Tegawendé F. Bissyandé, Xiaoguang Mao:
Pre-implementation Method Name Prediction for Object-oriented Programming. ACM Trans. Softw. Eng. Methodol. 32(6): 157:1-157:35 (2023) - [j10]Ming Wen, Zifan Xie, Kaixuan Luo, Xiao Chen, Yibiao Yang, Hai Jin:
Effective Isolation of Fault-Correlated Variables via Statistical and Mutation Analysis. IEEE Trans. Software Eng. 49(4): 2053-2068 (2023) - [c39]Haoxiang Jia, Ming Wen, Zifan Xie, Xiaochen Guo, Rongxin Wu, Maolin Sun, Kang Chen, Hai Jin:
Detecting JVM JIT Compiler Bugs via Exploring Two-Dimensional Input Spaces. ICSE 2023: 43-55 - [c38]Maolin Sun, Yibiao Yang, Ming Wen, Yongcong Wang, Yuming Zhou, Hai Jin:
Validating SMT Solvers via Skeleton Enumeration Empowered by Historical Bug-Triggering Inputs. ICSE 2023: 69-81 - [c37]Yulun Wu, Zeliang Yu, Ming Wen, Qiang Li, Deqing Zou, Hai Jin:
Understanding the Threats of Upstream Vulnerabilities to Downstream Projects in the Maven Ecosystem. ICSE 2023: 1046-1058 - [c36]Yuting Zhang, Jiahao Zhu, Yixin Yang, Ming Wen, Hai Jin:
Comparing the Performance of Different Code Representations for Learning-based Vulnerability Detection. Internetware 2023: 174-184 - [c35]Zifan Xie, Ming Wen, Haoxiang Jia, Xiaochen Guo, Xiaotong Huang, Deqing Zou, Hai Jin:
Precise and Efficient Patch Presence Test for Android Applications against Code Obfuscation. ISSTA 2023: 347-359 - [c34]Huaxun Huang, Chi Xu, Ming Wen, Yepang Liu, Shing-Chi Cheung:
ConfFix: Repairing Configuration Compatibility Issues in Android Apps. ISSTA 2023: 514-525 - [c33]Maolin Sun, Yibiao Yang, Yang Wang, Ming Wen, Haoxiang Jia, Yuming Zhou:
SMT Solver Validation Empowered by Large Pre-Trained Language Models. ASE 2023: 1288-1300 - [c32]Zongze Jiang, Ming Wen, Yixin Yang, Chao Peng, Ping Yang, Hai Jin:
Effective Concurrency Testing for Go via Directional Primitive-Constrained Interleaving Exploration. ASE 2023: 1364-1376 - [c31]Jialun Cao, Yaojie Lu, Ming Wen, Shing-Chi Cheung:
Testing Coreference Resolution Systems without Labeled Test Sets. ESEC/SIGSOFT FSE 2023: 107-119 - [c30]Shangwen Wang, Mingyang Geng, Bo Lin, Zhensu Sun, Ming Wen, Yepang Liu, Li Li, Tegawendé F. Bissyandé, Xiaoguang Mao:
Natural Language to Code: How Far Are We? ESEC/SIGSOFT FSE 2023: 375-387 - [c29]Xiaohu Du, Ming Wen, Zichao Wei, Shangwen Wang, Hai Jin:
An Extensive Study on Adversarial Attack against Pre-trained Models of Code. ESEC/SIGSOFT FSE 2023: 489-501 - [c28]Yibiao Yang, Maolin Sun, Yang Wang, Qingyang Li, Ming Wen, Yuming Zhou:
Heterogeneous Testing for Coverage Profilers Empowered with Debugging Support. ESEC/SIGSOFT FSE 2023: 670-681 - [c27]Jun Yang, Yuehan Wang, Yiling Lou, Ming Wen, Lingming Zhang:
A Large-Scale Empirical Review of Patch Correctness Checking Approaches. ESEC/SIGSOFT FSE 2023: 1203-1215 - [c26]Xiaohu Du, Xiao Chen, Jialun Cao, Ming Wen, Shing-Chi Cheung, Hai Jin:
Understanding the Bug Characteristics and Fix Strategies of Federated Learning Systems. ESEC/SIGSOFT FSE 2023: 1358-1370 - [i15]Jialun Cao, Meiziniu Li, Ming Wen, Shing-Chi Cheung:
A study on Prompt Design, Advantages and Limitations of ChatGPT for Deep Learning Program Repair. CoRR abs/2304.08191 (2023) - [i14]Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xuedong Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo Ghosh, Xuchao Zhang, Chaoyun Zhang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang:
Empowering Practical Root Cause Analysis by Large Language Models for Cloud Incidents. CoRR abs/2305.15778 (2023) - [i13]Xiaohu Du, Ming Wen, Zichao Wei, Shangwen Wang, Hai Jin:
An Extensive Study on Adversarial Attack against Pre-trained Models of Code. CoRR abs/2311.07553 (2023) - 2022
- [j9]Chaofan Wang, Xiaohai Dai, Jiang Xiao, Chenchen Li, Ming Wen, Bingbing Zhou, Hai Jin:
Demystifying Ethereum account diversity: observations, models and analysis. Frontiers Comput. Sci. 16(4): 164505 (2022) - [j8]Jialun Cao, Meiziniu Li, Yeting Li, Ming Wen, Shing-Chi Cheung, Haiming Chen:
SemMT: A Semantic-Based Testing Approach for Machine Translation Systems. ACM Trans. Softw. Eng. Methodol. 31(2): 34e:1-34e:36 (2022) - [j7]Bo Lin, Shangwen Wang, Ming Wen, Xiaoguang Mao:
Context-Aware Code Change Embedding for Better Patch Correctness Assessment. ACM Trans. Softw. Eng. Methodol. 31(3): 51:1-51:29 (2022) - [j6]Ying Wang, Rongxin Wu, Chao Wang, Ming Wen, Yepang Liu, Shing-Chi Cheung, Hai Yu, Chang Xu, Zhiliang Zhu:
Will Dependency Conflicts Affect My Program's Semantics? IEEE Trans. Software Eng. 48(7): 2295-2316 (2022) - [j5]Hai Jin, Zeli Wang, Ming Wen, Weiqi Dai, Yu Zhu, Deqing Zou:
Aroc: An Automatic Repair Framework for On-Chain Smart Contracts. IEEE Trans. Software Eng. 48(11): 4611-4629 (2022) - [c25]Jialun Cao, Meiziniu Li, Xiao Chen, Ming Wen, Yongqiang Tian, Bo Wu, Shing-Chi Cheung:
DeepFD: Automated Fault Diagnosis and Localization for Deep Learning Programs. ICSE 2022: 573-585 - [c24]Jing Yang, Yibiao Yang, Maolin Sun, Ming Wen, Yuming Zhou, Hai Jin:
Isolating Compiler Optimization Faults via Differentiating Finer-grained Options. SANER 2022: 481-491 - [i12]Jialun Cao, Meiziniu Li, Xiao Chen, Ming Wen, Yongqiang Tian, Bo Wu, Shing-Chi Cheung:
DeepFD: Automated Fault Diagnosis and Localization for Deep Learning Programs. CoRR abs/2205.01938 (2022) - [i11]Yuehan Wang, Jun Yang, Yiling Lou, Ming Wen, Lingming Zhang:
Attention: Not Just Another Dataset for Patch-Correctness Checking. CoRR abs/2207.06590 (2022) - [i10]Meiziniu Li, Jialun Cao, Yongqiang Tian, Tsz On Li, Ming Wen, Shing-Chi Cheung:
MEMO: Coverage-guided Model Generation For Deep Learning Library Testing. CoRR abs/2208.01508 (2022) - 2021
- [j4]Yongqiang Tian, Shiqing Ma, Ming Wen, Yepang Liu, Shing-Chi Cheung, Xiangyu Zhang:
To what extent do DNN-based image classification models make unreliable inferences? Empir. Softw. Eng. 26(4): 84 (2021) - [j3]Ming Wen, Junjie Chen, Yongqiang Tian, Rongxin Wu, Dan Hao, Shi Han, Shing-Chi Cheung:
Historical Spectrum Based Fault Localization. IEEE Trans. Software Eng. 47(11): 2348-2368 (2021) - [c23]Mingwei Zheng, Jun Yang, Ming Wen, Hengcheng Zhu, Yepang Liu, Hai Jin:
Why Do Developers Remove Lambda Expressions in Java? ASE 2021: 67-78 - [c22]Huaxun Huang, Ming Wen, Lili Wei, Yepang Liu, Shing-Chi Cheung:
Characterizing and Detecting Configuration Compatibility Issues in Android Apps. ASE 2021: 517-528 - [c21]Lu Liu, Lili Wei, Wuqi Zhang, Ming Wen, Yepang Liu, Shing-Chi Cheung:
Characterizing Transaction-Reverting Statements in Ethereum Smart Contracts. ASE 2021: 630-641 - [c20]Shangwen Wang, Ming Wen, Bo Lin, Xiaoguang Mao:
Lightweight global and local contexts guided method name recommendation with prior knowledge. ESEC/SIGSOFT FSE 2021: 741-753 - [c19]Sinan Wang, Ming Wen, Yepang Liu, Ying Wang, Rongxin Wu:
Understanding and Facilitating the Co-Evolution of Production and Test Code. SANER 2021: 272-283 - [i9]Lu Liu, Lili Wei, Wuqi Zhang, Ming Wen, Yepang Liu, Shing-Chi Cheung:
Characterizing Transaction-Reverting Statements in Ethereum Smart Contracts. CoRR abs/2108.10799 (2021) - [i8]Huaxun Huang, Ming Wen, Lili Wei, Yepang Liu, Shing-Chi Cheung:
Characterizing and Detecting Configuration Compatibility Issues in Android Apps. CoRR abs/2109.00300 (2021) - [i7]Yongqiang Tian, Wuqi Zhang, Ming Wen, Shing-Chi Cheung, Chengnian Sun, Shiqing Ma, Yu Jiang:
Fast Test Input Generation for Finding Deviated Behaviors in Compressed Deep Neural Network. CoRR abs/2112.02819 (2021) - 2020
- [j2]Ming Wen, Rongxin Wu, Shing-Chi Cheung:
How Well Do Change Sequences Predict Defects? Sequence Learning from Software Changes. IEEE Trans. Software Eng. 46(11): 1155-1175 (2020) - [c18]Bo Lin, Shangwen Wang, Ming Wen, Zhang Zhang, Hongjun Wu, Yihao Qin, Xiaoguang Mao:
Understanding the Non-Repairability Factors of Automated Program Repair Techniques. APSEC 2020: 71-80 - [c17]Yongqiang Tian, Zhihua Zeng, Ming Wen, Yepang Liu, Tzu-yang Kuo, Shing-Chi Cheung:
EvalDNN: a toolbox for evaluating deep neural network models. ICSE (Companion Volume) 2020: 45-48 - [c16]Ming Wen, Yepang Liu, Shing-Chi Cheung:
Boosting automated program repair with bug-inducing commits. ICSE (NIER) 2020: 77-80 - [c15]Ying Wang, Ming Wen, Yepang Liu, Yibo Wang, Zhenming Li, Chao Wang, Hai Yu, Shing-Chi Cheung, Chang Xu, Zhiliang Zhu:
Watchman: monitoring dependency conflicts for Python library ecosystem. ICSE 2020: 125-135 - [c14]Shuqing Li, Yechang Wu, Yi Liu, Dinghua Wang, Ming Wen, Yida Tao, Yulei Sui, Yepang Liu:
An Exploratory Study of Bugs in Extended Reality Applications on the Web. ISSRE 2020: 172-183 - [c13]Hengcheng Zhu, Lili Wei, Ming Wen, Yepang Liu, Shing-Chi Cheung, Qin Sheng, Cui Zhou:
MockSniffer: Characterizing and Recommending Mocking Decisions for Unit Tests. ASE 2020: 436-447 - [c12]Shangwen Wang, Ming Wen, Bo Lin, Hongjun Wu, Yihao Qin, Deqing Zou, Xiaoguang Mao, Hai Jin:
Automated Patch Correctness Assessment: How Far are We? ASE 2020: 968-980 - [c11]Zhaoxu Zhang, Hengcheng Zhu, Ming Wen, Yida Tao, Yepang Liu, Yingfei Xiong:
How Do Python Framework APIs Evolve? An Exploratory Study. SANER 2020: 81-92 - [d1]Hengcheng Zhu, Lili Wei, Ming Wen, Yepang Liu, Shing-Chi Cheung, Qin Sheng, Cui Zhou:
MockSniffer. Zenodo, 2020
- [i6]Ying Wang, Rongxin Wu, Chao Wang, Ming Wen, Yepang Liu, Shing-Chi Cheung, Hai Yu, Chang Xu, Zhiliang Zhu:
Will Dependency Conflicts Affect My Program's Semantics? CoRR abs/2006.07633 (2020) - [i5]Jialun Cao, Meiziniu Li, Yeting Li, Ming Wen, Shing-Chi Cheung:
SemMT: A Semantic-based Testing Approach for Machine Translation Systems. CoRR abs/2012.01815 (2020)
2010 – 2019
- 2019
- [c10]Shangwen Wang, Ming Wen, Xiaoguang Mao, Deheng Yang:
Attention Please: Consider Mockito when Evaluating Newly Proposed Automated Program Repair Techniques. EASE 2019: 260-266 - [c9]Shangwen Wang, Ming Wen, Liqian Chen, Xin Yi, Xiaoguang Mao:
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 2019: 1-12 - [c8]Ying Wang, Ming Wen, Rongxin Wu, Zhenwei Liu, Shin Hwei Tan, Zhiliang Zhu, Hai Yu, Shing-Chi Cheung:
Could I have a stack trace to examine the dependency conflict issue? ICSE 2019: 572-583 - [c7]Ming Wen, Yepang Liu, Rongxin Wu, Xuan Xie, Shing-Chi Cheung, Zhendong Su:
Exposing library API misuses via mutation analysis. ICSE 2019: 866-877 - [c6]Ming Wen, Rongxin Wu, Yepang Liu, Yongqiang Tian, Xuan Xie, Shing-Chi Cheung, Zhendong Su:
Exploring and exploiting the correlations between bug-inducing and bug-fixing commits. ESEC/SIGSOFT FSE 2019: 326-337 - [i4]Shangwen Wang, Ming Wen, Liqian Chen, Xin Yi, Xiaoguang Mao:
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 abs/1906.03447 (2019) - [i3]Yongqiang Tian, Shiqing Ma, Ming Wen, Yepang Liu, Shing-Chi Cheung, Xiangyu Zhang:
Testing Deep Learning Models for Image Analysis Using Object-Relevant Metamorphic Relations. CoRR abs/1909.03824 (2019) - 2018
- [j1]Rongxin Wu, Ming Wen, Shing-Chi Cheung, Hongyu Zhang:
ChangeLocator: locate crash-inducing changes based on crash reports. Empir. Softw. Eng. 23(5): 2866-2900 (2018) - [c5]Ming Wen, Junjie Chen, Rongxin Wu, Dan Hao, Shing-Chi Cheung:
Context-aware patch generation for better automated program repair. ICSE 2018: 1-11 - [c4]Rongxin Wu, Ming Wen, Shing-Chi Cheung, Hongyu Zhang:
ChangeLocator: locate crash-inducing changes based on crash reports. ICSE 2018: 536 - [c3]Ying Wang, Ming Wen, Zhenwei Liu, Rongxin Wu, Rui Wang, Bo Yang, Hai Yu, Zhiliang Zhu, Shing-Chi Cheung:
Do the dependency conflicts in my project matter? ESEC/SIGSOFT FSE 2018: 319-330 - [i2]Shangwen Wang, Ming Wen, Deheng Yang, Xiaoguang Mao:
Attention Please: Consider Mockito when Evaluating Newly Released Automated Program Repair Techniques. CoRR abs/1812.05370 (2018) - 2017
- [i1]Ming Wen, Junjie Chen, Rongxin Wu, Dan Hao, Shing-Chi Cheung:
An Empirical Analysis of the Influence of Fault Space on Search-Based Automated Program Repair. CoRR abs/1707.05172 (2017) - 2016
- [c2]Ming Wen, Rongxin Wu, Shing-Chi Cheung:
Locus: locating bugs from software changes. ASE 2016: 262-273 - 2014
- [c1]Xin Xia, David Lo, Ming Wen, Emad Shihab, Bo Zhou:
An empirical study of bug report field reassignment. CSMR-WCRE 2014: 174-183
Coauthor Index
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