Lingming Zhang

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 97

Top Venues

Publications

Wenhan Wang, Chenyuan Yang, Zhijie Wang, Yuheng Huang, Zhaoyang Chu, Da Song, Lingming Zhang, An Ran Chen, Lei Ma
TESTEVAL: Benchmarking Large Language Models for Test Case Generation. CoRR (2024)
Chenyuan Yang, Yinlin Deng, Jiayi Yao, Yuxing Tu, Hanchi Li, Lingming Zhang
Fuzzing Automatic Differentiation in Deep-Learning Libraries. CoRR (2023)
Jiawei Liu, Jinkun Lin, Fabian Ruffy, Cheng Tan, Jinyang Li, Aurojit Panda, Lingming Zhang
NNSmith: Generating Diverse and Valid Test Cases for Deep Learning Compilers. ASPLOS (2) (2023)
Chunqiu Steven Xia, Lingming Zhang
Conversational Automated Program Repair. CoRR (2023)
Jiawei Liu, Jinjun Peng, Yuyao Wang, Lingming Zhang
NeuRI: Diversifying DNN Generation via Inductive Rule Inference. CoRR (2023)
Yue Zhao, Lingming Zhang, Yang Liu, Deyu Meng, Zhiming Cui, Chenqiang Gao, Xinbo Gao, Chunfeng Lian, Dinggang Shen
Two-Stream Graph Convolutional Network for Intra-Oral Scanner Image Segmentation. IEEE Trans. Medical Imaging 41 (4) (2022)
Anjiang Wei, Yinlin Deng, Chenyuan Yang, Lingming Zhang
Free Lunch for Testing: Fuzzing Deep-Learning Libraries from Open Source. CoRR (2022)
Samuel Benton, Yuntong Xie, Lan Lu, Mengshi Zhang, Xia Li, Lingming Zhang
Towards Boosting Patch Execution On-the-Fly. ICSE (2022)
Chunqiu Steven Xia, Lingming Zhang
Less training, more repairing please: revisiting automated program repair via zero-shot learning. ESEC/SIGSOFT FSE (2022)
Yue Zhao, Lingming Zhang, Yang Liu, Deyu Meng, Zhiming Cui, Chenqiang Gao, Xinbo Gao, Chunfeng Lian, Dinggang Shen
Two-Stream Graph Convolutional Network for Intra-oral Scanner Image Segmentation. CoRR (2022)
Chunqiu Steven Xia, Lingming Zhang
Less Training, More Repairing Please: Revisiting Automated Program Repair via Zero-shot Learning. CoRR (2022)
Yingquan Zhao, Zan Wang, Junjie Chen, Mengdi Liu, Mingyuan Wu, Yuqun Zhang, Lingming Zhang
History-Driven Test Program Synthesis for JVM Testing. ICSE (2022)
Samuel Benton, Xia Li, Yiling Lou, Lingming Zhang
Evaluating and Improving Unified Debugging. IEEE Trans. Software Eng. 48 (11) (2022)
Yinlin Deng, Chenyuan Yang, Anjiang Wei, Lingming Zhang
Fuzzing deep-learning libraries via automated relational API inference. ESEC/SIGSOFT FSE (2022)
Fabrizio Pastore, Lingming Zhang
Message from the Program Co-Chairs: ISSRE 2022. ISSRE (2022)
Jiawei Liu, Yuxiang Wei, Sen Yang, Yinlin Deng, Lingming Zhang
Coverage-guided tensor compiler fuzzing with joint IR-pass mutation. Proc. ACM Program. Lang. 6 (OOPSLA) (2022)
Kejie Xu, Yue Zhao, Lingming Zhang, Chenqiang Gao, Hong Huang
Spectral-Spatial Residual Graph Attention Network for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Yinlin Deng, Chenyuan Yang, Anjiang Wei, Lingming Zhang
Fuzzing Deep-Learning Libraries via Automated Relational API Inference. CoRR (2022)
Mingyuan Wu, Ling Jiang, Jiahong Xiang, Yanwei Huang, Heming Cui, Lingming Zhang, Yuqun Zhang
One Fuzzing Strategy to Rule Them All. ICSE (2022)
Zhengran Zeng, Hanzhuo Tan, Haotian Zhang, Jing Li, Yuqun Zhang, Lingming Zhang
An extensive study on pre-trained models for program understanding and generation. ISSTA (2022)
Yuehan Wang, Jun Yang, Yiling Lou, Ming Wen, Lingming Zhang
Attention: Not Just Another Dataset for Patch-Correctness Checking. CoRR (2022)
Quanjun Zhang, Yuan Zhao, Weisong Sun, Chunrong Fang, Ziyuan Wang, Lingming Zhang
Program Repair: Automated vs. Manual. CoRR (2022)
Anjiang Wei, Yinlin Deng, Chenyuan Yang, Lingming Zhang
Free Lunch for Testing: Fuzzing Deep-Learning Libraries from Open Source. ICSE (2022)
Jiawei Liu, Yuxiang Wei, Sen Yang, Yinlin Deng, Lingming Zhang
Coverage-Guided Tensor Compiler Fuzzing with Joint IR-Pass Mutation. CoRR (2022)
Chunqiu Steven Xia, Yuxiang Wei, Lingming Zhang
Practical Program Repair in the Era of Large Pre-trained Language Models. CoRR (2022)
Jiawei Liu, Jinkun Lin, Fabian Ruffy, Cheng Tan, Jinyang Li, Aurojit Panda, Lingming Zhang
Finding Deep-Learning Compilation Bugs with NNSmith. CoRR (2022)
Zhao Tian, Junjie Chen, Qihao Zhu, Junjie Yang, Lingming Zhang
Learning to Construct Better Mutation Faults. ASE (2022)
Mingyuan Wu, Ling Jiang, Jiahong Xiang, Yuqun Zhang, Guowei Yang, Huixin Ma, Sen Nie, Shi Wu, Heming Cui, Lingming Zhang
Evaluating and Improving Neural Program-Smoothing-based Fuzzing. ICSE (2022)
Yinlin Deng, Chunqiu Steven Xia, Haoran Peng, Chenyuan Yang, Lingming Zhang
Fuzzing Deep-Learning Libraries via Large Language Models. CoRR (2022)
Runxiang Cheng, Lingming Zhang, Darko Marinov, Tianyin Xu
Test-case prioritization for configuration testing. ISSTA (2021)
Mengshi Zhang, Yaoxian Li, Xia Li, Lingchao Chen, Yuqun Zhang, Lingming Zhang, Sarfraz Khurshid
An Empirical Study of Boosting Spectrum-Based Fault Localization via PageRank. IEEE Trans. Software Eng. 47 (6) (2021)
Yiling Lou, Qihao Zhu, Jinhao Dong, Xia Li, Zeyu Sun, Dan Hao, Lu Zhang, Lingming Zhang
Boosting coverage-based fault localization via graph-based representation learning. ESEC/SIGSOFT FSE (2021)
Zhengran Zeng, Yuqun Zhang, Haotian Zhang, Lingming Zhang
Deep just-in-time defect prediction: how far are we? ISSTA (2021)
Yiling Lou, Samuel Benton, Dan Hao, Lu Zhang, Lingming Zhang
How Does Regression Test Selection Affect Program Repair? An Extensive Study on 2 Million Patches. CoRR (2021)
Lingchao Chen, Yicheng Ouyang, Lingming Zhang
Fast and Precise On-the-fly Patch Validation for All. ICSE (2021)
Xia Li, Jiajun Jiang, Samuel Benton, Yingfei Xiong, Lingming Zhang
A Large-scale Study on API Misuses in the Wild. ICST (2021)
Samuel Benton, Mengshi Zhang, Xia Li, Lingming Zhang
Self-Boosted Automated Program Repair. CoRR (2021)
Yue Zhao, Lingming Zhang, Chongshi Yang, Yingyun Tan, Yang Liu, Pengcheng Li, Tianhao Huang, Chenqiang Gao
3D Dental model segmentation with graph attentional convolution network. Pattern Recognit. Lett. 152 (2021)
Qiaoyi Chen, Yue Zhao, Yang Liu, Yongqing Sun, Chongshi Yang, Pengcheng Li, Lingming Zhang, Chenqiang Gao
MSLPNet: multi-scale location perception network for dental panoramic X-ray image segmentation. Neural Comput. Appl. 33 (16) (2021)
Lingming Zhang, Yue Zhao, Deyu Meng, Zhiming Cui, Chenqiang Gao, Xinbo Gao, Chunfeng Lian, Dinggang Shen
TSGCNet: Discriminative Geometric Feature Learning With Two-Stream Graph Convolutional Network for 3D Dental Model Segmentation. CVPR (2021)
Qianyang Peng, August Shi, Lingming Zhang
Empirically revisiting and enhancing IR-based test-case prioritization. ISSTA (2020)
Junjie Chen, Haoyang Ma, Lingming Zhang
Enhanced Compiler Bug Isolation via Memoized Search. ASE (2020)
Yiling Lou, Ali Ghanbari, Xia Li, Lingming Zhang, Haotian Zhang, Dan Hao, Lu Zhang
Can automated program repair refine fault localization? a unified debugging approach. ISSTA (2020)
Mingyuan Wu, Yicheng Ouyang, Husheng Zhou, Lingming Zhang, Cong Liu, Yuqun Zhang
Simulee: detecting CUDA synchronization bugs via memory-access modeling. ICSE (2020)
Samuel Benton, Xia Li, Yiling Lou, Lingming Zhang
On the Effectiveness of Unified Debugging: An Extensive Study on 16 Program Repair Systems. ASE (2020)
Lingchao Chen, Foyzul Hassan, Xiaoyin Wang, Lingming Zhang
Taming behavioral backward incompatibilities via cross-project testing and analysis. ICSE (2020)
Junjie Chen, Zhuo Wu, Zan Wang, Hanmo You, Lingming Zhang, Ming Yan
Practical Accuracy Estimation for Efficient Deep Neural Network Testing. ACM Trans. Softw. Eng. Methodol. 29 (4) (2020)
Lingchao Chen, Lingming Zhang
Fast and Precise On-the-fly Patch Validation for All. CoRR (2020)
Lingming Zhang, Yue Zhao, Deyu Meng, Zhiming Cui, Chenqiang Gao, Xinbo Gao, Chunfeng Lian, Dinggang Shen
TSGCNet: Discriminative Geometric Feature Learning with Two-Stream GraphConvolutional Network for 3D Dental Model Segmentation. CoRR (2020)
Husheng Zhou, Wei Li, Zelun Kong, Junfeng Guo, Yuqun Zhang, Bei Yu, Lingming Zhang, Cong Liu
DeepBillboard: systematic physical-world testing of autonomous driving systems. ICSE (2020)
Yiling Lou, Ali Ghanbari, Xia Li, Lingming Zhang, Dan Hao, Lu Zhang
Can Automated Program Repair Refine Fault Localization? CoRR (2019)
Mingyuan Wu, Lingming Zhang, Cong Liu, Shin Hwei Tan, Yuqun Zhang
Automating CUDA Synchronization via Program Transformation. ASE (2019)
Jiajun Jiang, Luyao Ren, Yingfei Xiong, Lingming Zhang
Inferring Program Transformations From Singular Examples via Big Code. ASE (2019)
Yiling Lou, Junjie Chen, Lingming Zhang, Dan Hao
Chapter One - A Survey on Regression Test-Case Prioritization. Adv. Comput. 113 (2019)
Yiling Lou, Junjie Chen, Lingming Zhang, Dan Hao, Lu Zhang
History-driven build failure fixing: how far are we? ISSTA (2019)
Hua Zhong, Lingming Zhang, Sarfraz Khurshid
TestSage: Regression Test Selection for Large-Scale Web Service Testing. ICST (2019)
Jie M. Zhang, Lingming Zhang, Dan Hao, Lu Zhang, Mark Harman
An Empirical Comparison of Mutant Selection Assessment Metrics. ICST Workshops (2019)
Qi Luo, Kevin Moran, Lingming Zhang, Denys Poshyvanyk
How Do Static and Dynamic Test Case Prioritization Techniques Perform on Modern Software Systems? An Extensive Study on GitHub Projects. IEEE Trans. Software Eng. 45 (11) (2019)
Dongyu Mao, Lingchao Chen, Lingming Zhang
An Extensive Study on Cross-Project Predictive Mutation Testing. ICST (2019)
Ali Ghanbari, Samuel Benton, Lingming Zhang
Practical program repair via bytecode mutation. ISSTA (2019)
Jie M. Zhang, Lingming Zhang, Dan Hao, Meng Wang, Lu Zhang
Do Pseudo Test Suites Lead to Inflated Correlation in Measuring Test Effectiveness? ICST (2019)
Ali Ghanbari, Lingming Zhang
PraPR: Practical Program Repair via Bytecode Mutation. ASE (2019)
Jie Zhang, Lingming Zhang, Mark Harman, Dan Hao, Yue Jia, Lu Zhang
Predictive Mutation Testing. IEEE Trans. Software Eng. 45 (9) (2019)
Junjie Chen, Jiaqi Han, Peiyi Sun, Lingming Zhang, Dan Hao, Lu Zhang
Compiler bug isolation via effective witness test program generation. ESEC/SIGSOFT FSE (2019)
Zheng Dong, Cong Liu, Soroush Bateni, Zelun Kong, Liang He, Lingming Zhang, Ravi Prakash, Yuqun Zhang
A General Analysis Framework for Soft Real-Time Tasks. IEEE Trans. Parallel Distributed Syst. 30 (6) (2019)
Samuel Benton, Ali Ghanbari, Lingming Zhang
Defexts: a curated dataset of reproducible real-world bugs for modern JVM languages. ICSE (Companion Volume) (2019)
Xia Li, Wei Li, Yuqun Zhang, Lingming Zhang
DeepFL: integrating multiple fault diagnosis dimensions for deep fault localization. ISSTA (2019)
Mingyuan Wu, Husheng Zhou, Lingming Zhang, Cong Liu, Yuqun Zhang
Characterizing and Detecting CUDA Program Bugs. CoRR (2019)
Haoran Wu, Xingya Wang, Jiehui Xu, Weiqin Zou, Lingming Zhang, Zhenyu Chen
Mutation Testing for Ethereum Smart Contract. CoRR (2019)
August Shi, Milica Hadzi-Tanovic, Lingming Zhang, Darko Marinov, Owolabi Legunsen
Reflection-aware static regression test selection. Proc. ACM Program. Lang. 3 (OOPSLA) (2019)
Zixin Li, Haoran Wu, Jiehui Xu, Xingya Wang, Lingming Zhang, Zhenyu Chen
MuSC: A Tool for Mutation Testing of Ethereum Smart Contract. ASE (2019)
Junjie Chen, Wenxiang Hu, Lingming Zhang, Dan Hao, Sarfraz Khurshid, Lu Zhang
Learning to Accelerate Symbolic Execution via Code Transformation. ECOOP (2018)
Ali Ghanbari, Lingming Zhang
Practical Program Repair via Bytecode Mutation. CoRR (2018)
Xianglong Kong, Lingming Zhang, W. Eric Wong, Bixin Li
The impacts of techniques, programs and tests on automated program repair: An empirical study. J. Syst. Softw. 137 (2018)
Alex Groce, Josie Holmes, Darko Marinov, August Shi, Lingming Zhang
An extensible, regular-expression-based tool for multi-language mutant generation. ICSE (Companion Volume) (2018)
Lingming Zhang
Hybrid regression test selection. ICSE (2018)
Mengshi Zhang, Yuqun Zhang, Lingming Zhang, Cong Liu, Sarfraz Khurshid
DeepRoad: GAN-based Metamorphic Autonomous Driving System Testing. CoRR (2018)
Husheng Zhou, Wei Li, Yuankun Zhu, Yuqun Zhang, Bei Yu, Lingming Zhang, Cong Liu
DeepBillboard: Systematic Physical-World Testing of Autonomous Driving Systems. CoRR (2018)
Junjie Chen, Yiling Lou, Lingming Zhang, Jianyi Zhou, Xiaoleng Wang, Dan Hao, Lu Zhang
Optimizing test prioritization via test distribution analysis. ESEC/SIGSOFT FSE (2018)
Lingchao Chen, Lingming Zhang
Speeding up Mutation Testing via Regression Test Selection: An Extensive Study. ICST (2018)
Jie Zhang, Dan Hao, Lingming Zhang, Lu Zhang
To Detect Abnormal Program Behaviours via Mutation Deduction. ICST Workshops (2018)
Mengshi Zhang, Yuqun Zhang, Lingming Zhang, Cong Liu, Sarfraz Khurshid
DeepRoad: GAN-based metamorphic testing and input validation framework for autonomous driving systems. ASE (2018)
Qi Luo, Kevin Moran, Lingming Zhang, Denys Poshyvanyk
How Do Static and Dynamic Test Case Prioritization Techniques Perform on Modern Software Systems? An Extensive Study on GitHub Projects. CoRR (2018)
Hao Tang, Di Wang, Yingfei Xiong, Lingming Zhang, Xiaoyin Wang, Lu Zhang
Conditional Dyck-CFL Reachability Analysis for Complete and Efficient Library Summarization. ESOP (2017)
Zheng Dong, Yuchuan Liu, Husheng Zhou, Xusheng Xiao, Yu Gu, Lingming Zhang, Cong Liu
An energy-efficient offloading framework with predictable temporal correctness. SEC (2017)
Junjie Chen, Yanwei Bai, Dan Hao, Lingming Zhang, Lu Zhang, Bing Xie
How Do Assertions Impact Coverage-Based Test-Suite Reduction? ICST (2017)
Xia Li, Lingming Zhang
Transforming programs and tests in tandem for fault localization. Proc. ACM Program. Lang. 1 (OOPSLA) (2017)
Tung Dao, Lingming Zhang, Na Meng
How does execution information help with information-retrieval based bug localization? ICPC (2017)
Mengshi Zhang, Xia Li, Lingming Zhang, Sarfraz Khurshid
Boosting spectrum-based fault localization using PageRank. ISSTA (2017)
Yafeng Lu, Yiling Lou, Shiyang Cheng, Lingming Zhang, Dan Hao, Yangfan Zhou, Lu Zhang
How does regression test prioritization perform in real-world software evolution? ICSE (2016)
Jie Zhang, Ziyi Wang, Lingming Zhang, Dan Hao, Lei Zang, Shiyang Cheng, Lu Zhang
Predictive mutation testing. ISSTA (2016)
Tao Ye, Lingming Zhang, Linzhang Wang, Xuandong Li
An Empirical Study on Detecting and Fixing Buffer Overflow Bugs. ICST (2016)
Jie Zhang, Yiling Lou, Lingming Zhang, Dan Hao, Lu Zhang, Hong Mei
Isomorphic regression testing: executing uncovered branches without test augmentation. SIGSOFT FSE (2016)
Hua Zhong, Lingming Zhang, Sarfraz Khurshid
The comKorat Tool: Unified Combinatorial and Constraint-Based Generation of Structurally Complex Tests. NFM (2016)
Owolabi Legunsen, Farah Hariri, August Shi, Yafeng Lu, Lingming Zhang, Darko Marinov
An extensive study of static regression test selection in modern software evolution. SIGSOFT FSE (2016)
Junjie Chen, Yanwei Bai, Dan Hao, Lingming Zhang, Lu Zhang, Bing Xie, Hong Mei
Supporting oracle construction via static analysis. ASE (2016)
Hua Zhong, Lingming Zhang, Sarfraz Khurshid
Combinatorial generation of structurally complex test inputs for commercial software applications. SIGSOFT FSE (2016)
Xianglong Kong, Lingming Zhang, W. Eric Wong, Bixin Li
Experience report: How do techniques, programs, and tests impact automated program repair? ISSRE (2015)
Xiaoyin Wang, Lingming Zhang, Philip Tanofsky
Experience report: how is dynamic symbolic execution different from manual testing? a study on KLEE. ISSTA (2015)
Shiyu Dong, Oswaldo Olivo, Lingming Zhang, Sarfraz Khurshid
Studying the influence of standard compiler optimizations on symbolic execution. ISSRE (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Lingming Zhang