Publications

A full list is available at Google Scholar, DBLP

* indicates that the first authors are mentored by me.

  1. [ICSE'26] Optimization-Aware Test Generation for Deep Learning Compilers .
    Qingchao Shen, Zan Wang, Haoyang Ma, Yongqiang Tian, Lili Huang, Zibo Xiao, Junjie Chen, Shing-Chi Cheung
    in the 48th International Conference on Software Engineering (ICSE), 2026.
  2. [ICSE'26] Bounded Exhaustive Random Program Generation for Testing Solidity Compilers .
    Haoyang Ma, Alastair Donaldson, Qingchao Shen, Yongqiang Tian, Junjie Chen, Shing-Chi Cheung
    in the 48th International Conference on Software Engineering (ICSE), 2026.
  3. [ASE'25] Latra: A Template-Based Language-Agnostic Transformation Framework for Effective Program Reduction .
    Zhenyang Xu, Yiran Wang, Yongqiang Tian, Mengxiao Zhang, Chengnian Sun
    in the 40th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2025.
  4. [OOPSLA'25] Boosting Program Reduction with the Missing Piece of Syntax-Guided Transformations.
    Zhenyang Xu, Yongqiang Tian, Mengxiao Zhang, Chengnian Sun
    in the ACM SIGPLAN International Conference on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA), 2025.
  5. [FSE'25] An Empirical Study of Bugs in Data Visualization Libraries.
    Weiqi Lu, Yongqiang Tian, Xiaohan Zhong, Haoyang Ma, Zhenyang Xu, Shing-Chi Cheung, Chengnian Sun
    in ACM International Conference on the Foundations of Software Engineering (FSE'25), 2025.
  6. [ICSE'25] Toward a Better Understanding of Probabilistic Delta Debugging.
    Mengxiao Zhang, Zhenyang Xu, Yongqiang Tian, Xinru Cheng, Chengnian Sun
    in 47th IEEE/ACM International Conference on Software Engineering (ICSE'25) , 2025.
  7. [ICSE'25] WDD: Weighted Delta Debugging.
    Xintong Zhou, Zhenyang Xu, Mengxiao Zhang, Yongqiang Tian, Chengnian Sun
    in 47th IEEE/ACM International Conference on Software Engineering (ICSE'25) , 2025.
  8. [TOSEM] T-Rec: Fine-Grained Language-Agnostic Program Reduction Guided by Lexical Syntax.
    Zhenyang Xu, Yongqiang Tian*, Mengxiao Zhang, Jiarui Zhang, Puzhuo Liu, Yu Jiang, Chengnian Sun
    in ACM Transactions on Software Engineering and Methodology (TOSEM), 2025.
  9. [TOSEM] Enhancing Differential Testing With LLMs For Testing Deep Learning Libraries. .
    Meiziniu Li, Dongze Li, Jianmeng Liu, Jialun Cao, Yongqiang Tian, Shing-Chi Cheung.
    in ACM Transactions on Software Engineering and Methodology (TOSEM), 2025.
  10. [ICSE'25] A Tale of Two DL Cities: When Library Tests Meet Compiler.
    Qingchao Shen, Yongqiang Tian, Haoyang Ma, Junjie Chen, Lili Huang, Ruifeng Fu, Shing-Chi Cheung, Zan Wang
    in 47th IEEE/ACM International Conference on Software Engineering (ICSE'25) , 2025.
  11. [ISSTA'24] Towards Understanding the Bugs in Solidity Compiler.
    Haoyang Ma, Wuqi Zhang, Qingchao Shen, Yongqiang Tian*, Junjie Chen, Shing-Chi Cheung
    in 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA) , 2024.
  12. [ISSTA'24] LPR: Large Language Models-Aided Program Reduction.
    Mengxiao Zhang, Yongqiang Tian*, Zhenyang Xu, Yiwen Dong, Shin Hwei Tan, Chengnian Sun
    in 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA) , 2024.
    A preprint version is available here.
  13. [TOSEM] On the Caching Schemes to Speed Up Program Reduction.
    Yongqiang Tian, Xueyan Zhang, Yiwen Dong, Zhenyang Xu, Mengxiao Zhang, Yu Jiang, Shing-Chi Cheung, Chengnian Sun
    published in ACM Transactions on Software Engineering and Methodology (TOSEM), 2023.
  14. [TOSEM] Finding Deviated Behaviors of the Compressed DNN Models for Image Classifications.
    Yongqiang Tian, Wuqi Zhang, Ming Wen, Shing-Chi Cheung, Chengnian Sun, Shiqing Ma, Yu Jiang
    published in ACM Transactions on Software Engineering and Methodology (TOSEM), 2023.
  15. [IJCAI'23] Revisiting the Evaluation of Deep Learning-Based Compiler Testing.
    Yongqiang Tian, Zhenyang Xu, Yiwen Dong, Chengnian Sun, Shing-Chi Cheung
    in The 32nd International Joint Conference on Artificial Intelligence (IJCAI), 2023.
  16. [ESEC/FSE'23] PPR: Pairwise Program Reduction.
    Mengxiao Zhang, Zhenyang Xu, Yongqiang Tian*, Yu Jiang, Chengnian Sun
    in ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE), 2023.
  17. [ESEC/FSE'23 Tool] Ad Hoc Syntax-Guided Program Reduction.
    Jia Le Tian, Mengxiao Zhang, Zhenyang Xu, Yongqiang Tian, Yiwen Dong, Chengnian Sun.
    in ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE Tool), 2023.
  18. [ISSTA'23] CoopHance: Cooperative Enhancement for Robustness of Deep Learning Systems.
    Quan Zhang, Yongqiang Tian*, Yifeng Ding, Shanshan Li, Chengnian Sun, Yu Jiang, Jiaguang Sun
    in ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2023.
  19. [ISSTA'23] Fuzzing Deep Learning Compilers with HirGen.
    Haoyang Ma, Qingchao Shen, Yongqiang Tian, Junjie Chen, Shing-Chi Cheung
    in ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2023.
  20. [TOSEM'23] COMET: Coverage-guided Model Generation For Deep Learning Library Testing.
    Meiziniu Li, Jialun Cao, Yongqiang Tian, Tsz On Li, Ming Wen, Shing-Chi Cheung
    published in ACM Transactions on Software Engineering and Methodology (TOSEM), 2023.
  21. [OOPSLA'23] Pushing the Limit of 1-Minimality of Language-Agnostic Program Reduction.
    Zhenyang Xu, Yongqiang Tian, Mengxiao Zhang, Gaosen Zhao, Yu Jiang, Chengnian Sun
    in the ACM SIGPLAN International Conference on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA), 2023.
  22. [ASPLOS'23] Compilation Consistency Modulo Debug Information.
    Theodore Luo Wang, Yongqiang Tian, Yiwen Dong, Zhenyang Xu, Chengnian Sun
    in the 28th Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2023.
  23. [SCIS] Towards Actionable Testing of Deep Learning Models.
    Yingfei Xiong, Yongqiang Tian*, Yepang Liu, Shing-Chi Cheung
    published in Science China Information Sciences, 2023.
  24. [TOSEM] Bash in the Wild: Language Usage, Code Smells, and Bugs.
    Yiwen Dong, Zheyang Li, Yongqiang Tian, Chengnian Sun, Michael Godfrey, Meiyappan Nagappan
    published in ACM Transactions on Software Engineering and Methodology, Volume 32, Issue 1, Article No. 8, pp 1–22.
  25. [ICSE'22] SnR: Constraint-Based Type Inference for Incomplete Java Code Snippets.
    Yiwen Dong, Tianxiao Gu, Yongqiang Tian, Chengnian Sun
    in the 44th International Conference on Software Engineering, 2022.
  26. [ICSE'22] DeepFD: Automated Fault Diagnosis and Localization for Deep Learning Programs.
    Jialun Cao, Meiziniu LI, Xiao Chen, Ming Wen, Yongqiang Tian, Bo Wu, Shing-Chi Cheung
    in the 44th International Conference on Software Engineering, 2022.
  27. [EMSE'21, ICSE'22 Journal-first] To What Extent Do DNN-based Image Classification Models Make Unreliable Inferences?
    Yongqiang Tian, Shiqing Ma, Ming Wen, Yepang Liu, Shing-Chi Cheung, Xiangyu Zhang
    in Empirical Software Engineering, 26, Article number: 84, 2021. [Paper] [Website]
    Note: The name of its arXiv version is Testing Deep Learning Models for Image Analysis Using Object-Relevant Metamorphic Relations.
  28. [ESEC/FSE'21] A Comprehensive Study of Deep Learning Compiler Bugs.
    Qingchao Shen, Haoyang Ma, Junjie Chen, Yongqiang Tian, Shing-Chi Cheung, Xiang Chen
    in The ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE'21), 2021. (Acceptance ratio 24.5% = 97/396)
  29. [ISSTA'21] AdvDoor: Adversarial Backdoor Attack of Deep Learning System.
    Quan Zhang, Yifeng Ding, Yongqiang Tian, Jianmin Guo, Min Yuan, Yu Jiang
    in ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2021 (Acceptance ratio 21.9% = 51/233)
  30. [ICSE'20 Demo] EvalDNN: A Toolbox for Evaluating Deep Neural Network Models.
    Yongqiang Tian, Zhihua Zeng, Ming Wen, Yepang Liu, Tzu-yang Kuo, Shing-Chi Cheung
    in The 42nd International Conference on Software Engineering (ICSE 2020 Demos), 2020
  31. [TSE] Historical Spectrum based Fault Localization.
    Ming Wen, Junjie Chen, Yongqiang Tian, Rongxin Wu, Dan Hao, Shi Han, Shing-Chi Cheung
    in IEEE Transactions on Software Engineering, 2021
  32. [ESEC/FSE’19] Exploring and Exploiting the Correlations between Bug-Inducing and Bug-Fixing Commits.
    Ming Wen, Rongxin Wu, Yepang Liu, Yongqiang Tian, Xuan Xie, Shing-Chi Cheung, Zhendong Su
    in The ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE), 2019.

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