Faculty Profiles - TIAN Yongqiang | The Hong Kong University of Science and Technology

Yongqiang TIAN
田永強

PhD in Computer Science and Engineering
The Hong Kong University of Science and Technology, 2023

Research Assistant Professor
Department of Computer Science and Engineering

Google Scholar

51iYgNAAAAAJ

ORCID

0000-0003-1644-2965

Scopus ID

57210932766

Research Interest

Software engineering
Testing and debugging
Open source software
Software security

Publications

2024 2

LPR: Large Language Models-Aided Program Reduction

33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, ISSTA 2024 / Association for Computing Machinery. New York, NY, United States : Association for Computing Machinery, 2024, p. 261-273
Zhang, Mengxiao; Tian, Yongqiang; Xu, Zhenyang; Dong, Yiwen; Tan, Shin Hwei; Sun, Chengnian
Conference paper

Towards Understanding the Bugs in Solidity Compiler

ISSTA 2024 - Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis / Association for Computing Machinery. New York, NY, United States : Association for Computing Machinery, 2024, p. 1312-1324
Ma, Haoyang; Zhang, Wuqi; Shen, Qingchao; Tian, Yongqiang; Chen, Junjie; Cheung, Shing Chi
Conference paper

2023 12

Bash in the Wild: Language Usage, Code Smells, and Bugs

ACM Transactions on Software Engineering and Methodology, v. 32, (1), February 2023, article number 8, p. 1-22
Dong, Yiwen; Li, Zheyang; Tian, Yongqiang; Sun, Chengnian; Godfrey, Michael W.; Nagappan, Meiyappan
Article

COMET: Coverage-guided Model Generation For Deep Learning Library Testing

ACM Transactions on Software Engineering and Methodology, v. 32, (5), September 2023, article number 127, p. 1-34
Li, Meiziniu; Cao, Jialun; Tian, Yongqiang; Li, Tsz On; Wen, Ming; Cheung, Shing Chi
Article

Finding Deviated Behaviors of the Compressed DNN Models for Image Classifications

ACM Transactions on Software Engineering and Methodology, v. 32, (5), July 2023, article number 128, p. 1-32
Tian, Yongqiang; Zhang, Wuqi; Wen, Ming; Cheung, Shing Chi; Sun, Chengnian; Ma, Shiqing; Jiang, Yu
Article

On the Caching Schemes to Speed Up Program Reduction

ACM Transactions on Software Engineering and Methodology, v. 33, (1), November 2023, article number 17, p. 1-30
Tian, Yongqiang; Zhang, Xueyan; Dong, Yiwen; Xu, Zhenyang; Zhang, Mengxiao; Jiang, Yu; Cheung, Shing Chi; Sun, Chengnian
Article

Pushing the Limit of 1-Minimality of Language-Agnostic Program Reduction

Proceedings of the ACM on Programming Languages, v. 7, (OOPSLA1), April 2023, article number 97, p. 636-664
Xu, Zhenyang; Tian, Yongqiang; Zhang, Mengxiao; Zhao, Gaosen; Jiang, Yu; Sun, Chengnian
Article

Toward actionable testing of deep learning models

Science China Information Sciences, v. 66, (7), June 2023, article number 176101
Xiong, Yingfei; Tian, Yongqiang; Liu, Yepang; Cheung, Shing Chi
Article

Ad Hoc Syntax-Guided Program Reduction

ESEC/FSE 2023: Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering / Association for Computing Machinery. New York, NY : Association for Computing Machinery, 2023, p. 2137-2141
Tian, Jia Le; Zhang, Mengxiao; Xu, Zhenyang; Tian, Yongqiang; Dong, Yiwen; Sun, Chengnian
Conference paper

Compilation Consistency Modulo Debug Information

ASPLOS 2023: Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2, v. 2, January 2023, p. 146-158
Wang, Theodore Luo; Tian, Yongqiang; Dong, Yiwen; Xu, Zhenyang; Sun, Chengnian
Conference paper

CoopHance: Cooperative Enhancement for Robustness of Deep Learning Systems

ISSTA 2023: Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis / Association for Computing Machinery. New York, NY : Association for Computing Machinery, 2023, p. 753-765
Zhang, Quan; Tian, Yongqiang; Ding, Yifeng; Li, Shanshan; Sun, Chengnian; Jiang, Yu; Sun, Jiaguang
Conference paper

Fuzzing Deep Learning Compilers with HirGen

ISSTA 2023: Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis / Association for Computing Machinery. New York, NY : Association for Computing Machinery, 2023, p. 248-260
Ma, Haoyang; Shen, Qingchao; Tian, Yongqiang; Chen, Junjie; Cheung, Shing Chi
Conference paper

PPR: Pairwise Program Reduction

ESEC/FSE 2023: Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering / Association for Computing Machinery. New York, NY : Association for Computing Machinery, 2023, p. 338-349
Zhang, Mengxiao; Xu, Zhenyang; Tian, Yongqiang; Jiang, Yu; Sun, Chengnian
Conference paper

Revisiting the Evaluation of Deep Learning-Based Compiler Testing

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, v. 2023-August, August 2023, p. 4873-4882
Tian, Yongqiang; Xu, Zhenyang; Dong, Yiwen; Sun, Chengnian; Cheung, Shing Chi
Conference paper

2022 2

DeepFD: Automated Fault Diagnosis and Localization for Deep Learning Programs

ICSE '22: Proceedings of the 44th International Conference on Software Engineering / Association for Computing Machinery. New York, NY : Association for Computing Machinery, 2022, p. 573-585
Cao, Jialun; Li, Meiziniu; Chen, Xiao; Wen, Ming; Tian, Yongqiang; Wu, Bo; Cheung, Shing Chi
Conference paper

SnR: Constraint-Based Type Inference for Incomplete Java Code Snippets

ICSE '22: Proceedings of the 44th International Conference on Software Engineering / Association for Computing Machinery. New York, NY : Association for Computing Machinery, 2022, p. 1982-1993
Dong, Yiwen; Gu, Tianxiao; Tian, Yongqiang; Sun, Chengnian
Conference paper

2021 4

Historical Spectrum based Fault Localization

IEEE Transactions on Software Engineering, v. 47, (11), November 2021, p. 2348-2368
Wen, Ming; Chen, Junjie; Tian, Yongqiang; Wu, Rongxin; Hao, Dan; Han, Shi; Cheung, Shing-chi
Article

To what extent do DNN-based image classification models make unreliable inferences?

Empirical Software Engineering, v. 26, (5), June 2021, article number 84
Tian, Yongqiang; Ma, Shiqing; Wen, Ming; Liu, Yepang; Cheung, Shing-chi; Zhang, Xiangyu
Article

A Comprehensive Study of Deep Learning Compiler Bugs

ESEC/FSE 2021: Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering / Association for Computing Machinery. New York, USA : Association for Computing Machinery, 2021, p. 968-980
Shen, Qingchao; Ma, Haoyang; Chen, Junjie; Tian, Yongqiang; Cheung, Shing Chi; Chen, Xiang
Conference paper

AdvDoor: Adversarial backdoor attack of deep learning system

ISSTA 2021: Proceedings of the 30th ACM SIGSOFT International Symposium on Software Testing and Analysis / Association for Computing Machinery. New York, NY : Association for Computing Machinery, 2021, p. 127-138
Zhang, Quan; Ding, Yifeng; Tian, Yongqiang; Guo, Jianmin; Yuan, Min; Jiang, Yu
Conference paper

2020 1

EvalDNN: A toolbox for evaluating deep neural network models

ICSE '20: Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering: Companion Proceedings, June 2020, article number 3382133, p. 45-48
Tian, Yongqiang; Zeng, Zhihua; Wen, Ming; Liu, Yepang; Kuo, Tzu-yang; Cheung, Shing-Chi
Conference paper

2019 1

Exploring and exploiting the correlations between bug-inducing and bug-fixing commits

ESEC/FSE 2019: Proceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering / Association for Computing Machinery. New York, NY : Association for Computing Machinery, 2019, p. 326-337
Wen, Ming; Wu, Rongxin; Liu, Yepang; Tian, Yongqiang; Xie, Xuan; Cheung, Shing Chi; Su, Zhendong
Conference paper

Conference paper 2

LPR: Large Language Models-Aided Program Reduction

33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, ISSTA 2024 / Association for Computing Machinery. New York, NY, United States : Association for Computing Machinery, 2024, p. 261-273
Zhang, Mengxiao; Tian, Yongqiang; Xu, Zhenyang; Dong, Yiwen; Tan, Shin Hwei; Sun, Chengnian

Towards Understanding the Bugs in Solidity Compiler

ISSTA 2024 - Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis / Association for Computing Machinery. New York, NY, United States : Association for Computing Machinery, 2024, p. 1312-1324
Ma, Haoyang; Zhang, Wuqi; Shen, Qingchao; Tian, Yongqiang; Chen, Junjie; Cheung, Shing Chi

Article 6

Bash in the Wild: Language Usage, Code Smells, and Bugs

ACM Transactions on Software Engineering and Methodology, v. 32, (1), February 2023, article number 8, p. 1-22
Dong, Yiwen; Li, Zheyang; Tian, Yongqiang; Sun, Chengnian; Godfrey, Michael W.; Nagappan, Meiyappan

COMET: Coverage-guided Model Generation For Deep Learning Library Testing

ACM Transactions on Software Engineering and Methodology, v. 32, (5), September 2023, article number 127, p. 1-34
Li, Meiziniu; Cao, Jialun; Tian, Yongqiang; Li, Tsz On; Wen, Ming; Cheung, Shing Chi

Finding Deviated Behaviors of the Compressed DNN Models for Image Classifications

ACM Transactions on Software Engineering and Methodology, v. 32, (5), July 2023, article number 128, p. 1-32
Tian, Yongqiang; Zhang, Wuqi; Wen, Ming; Cheung, Shing Chi; Sun, Chengnian; Ma, Shiqing; Jiang, Yu

On the Caching Schemes to Speed Up Program Reduction

ACM Transactions on Software Engineering and Methodology, v. 33, (1), November 2023, article number 17, p. 1-30
Tian, Yongqiang; Zhang, Xueyan; Dong, Yiwen; Xu, Zhenyang; Zhang, Mengxiao; Jiang, Yu; Cheung, Shing Chi; Sun, Chengnian

Pushing the Limit of 1-Minimality of Language-Agnostic Program Reduction

Proceedings of the ACM on Programming Languages, v. 7, (OOPSLA1), April 2023, article number 97, p. 636-664
Xu, Zhenyang; Tian, Yongqiang; Zhang, Mengxiao; Zhao, Gaosen; Jiang, Yu; Sun, Chengnian

Toward actionable testing of deep learning models

Science China Information Sciences, v. 66, (7), June 2023, article number 176101
Xiong, Yingfei; Tian, Yongqiang; Liu, Yepang; Cheung, Shing Chi

Conference paper 6

Ad Hoc Syntax-Guided Program Reduction

ESEC/FSE 2023: Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering / Association for Computing Machinery. New York, NY : Association for Computing Machinery, 2023, p. 2137-2141
Tian, Jia Le; Zhang, Mengxiao; Xu, Zhenyang; Tian, Yongqiang; Dong, Yiwen; Sun, Chengnian

Compilation Consistency Modulo Debug Information

ASPLOS 2023: Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2, v. 2, January 2023, p. 146-158
Wang, Theodore Luo; Tian, Yongqiang; Dong, Yiwen; Xu, Zhenyang; Sun, Chengnian

CoopHance: Cooperative Enhancement for Robustness of Deep Learning Systems

ISSTA 2023: Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis / Association for Computing Machinery. New York, NY : Association for Computing Machinery, 2023, p. 753-765
Zhang, Quan; Tian, Yongqiang; Ding, Yifeng; Li, Shanshan; Sun, Chengnian; Jiang, Yu; Sun, Jiaguang

Fuzzing Deep Learning Compilers with HirGen

ISSTA 2023: Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis / Association for Computing Machinery. New York, NY : Association for Computing Machinery, 2023, p. 248-260
Ma, Haoyang; Shen, Qingchao; Tian, Yongqiang; Chen, Junjie; Cheung, Shing Chi

PPR: Pairwise Program Reduction

ESEC/FSE 2023: Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering / Association for Computing Machinery. New York, NY : Association for Computing Machinery, 2023, p. 338-349
Zhang, Mengxiao; Xu, Zhenyang; Tian, Yongqiang; Jiang, Yu; Sun, Chengnian

Revisiting the Evaluation of Deep Learning-Based Compiler Testing

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, v. 2023-August, August 2023, p. 4873-4882
Tian, Yongqiang; Xu, Zhenyang; Dong, Yiwen; Sun, Chengnian; Cheung, Shing Chi

Conference paper 2

DeepFD: Automated Fault Diagnosis and Localization for Deep Learning Programs

ICSE '22: Proceedings of the 44th International Conference on Software Engineering / Association for Computing Machinery. New York, NY : Association for Computing Machinery, 2022, p. 573-585
Cao, Jialun; Li, Meiziniu; Chen, Xiao; Wen, Ming; Tian, Yongqiang; Wu, Bo; Cheung, Shing Chi

SnR: Constraint-Based Type Inference for Incomplete Java Code Snippets

ICSE '22: Proceedings of the 44th International Conference on Software Engineering / Association for Computing Machinery. New York, NY : Association for Computing Machinery, 2022, p. 1982-1993
Dong, Yiwen; Gu, Tianxiao; Tian, Yongqiang; Sun, Chengnian

Article 2

Historical Spectrum based Fault Localization

IEEE Transactions on Software Engineering, v. 47, (11), November 2021, p. 2348-2368
Wen, Ming; Chen, Junjie; Tian, Yongqiang; Wu, Rongxin; Hao, Dan; Han, Shi; Cheung, Shing-chi

To what extent do DNN-based image classification models make unreliable inferences?

Empirical Software Engineering, v. 26, (5), June 2021, article number 84
Tian, Yongqiang; Ma, Shiqing; Wen, Ming; Liu, Yepang; Cheung, Shing-chi; Zhang, Xiangyu

Conference paper 2

A Comprehensive Study of Deep Learning Compiler Bugs

ESEC/FSE 2021: Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering / Association for Computing Machinery. New York, USA : Association for Computing Machinery, 2021, p. 968-980
Shen, Qingchao; Ma, Haoyang; Chen, Junjie; Tian, Yongqiang; Cheung, Shing Chi; Chen, Xiang

AdvDoor: Adversarial backdoor attack of deep learning system

ISSTA 2021: Proceedings of the 30th ACM SIGSOFT International Symposium on Software Testing and Analysis / Association for Computing Machinery. New York, NY : Association for Computing Machinery, 2021, p. 127-138
Zhang, Quan; Ding, Yifeng; Tian, Yongqiang; Guo, Jianmin; Yuan, Min; Jiang, Yu

Conference paper 1

EvalDNN: A toolbox for evaluating deep neural network models

ICSE '20: Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering: Companion Proceedings, June 2020, article number 3382133, p. 45-48
Tian, Yongqiang; Zeng, Zhihua; Wen, Ming; Liu, Yepang; Kuo, Tzu-yang; Cheung, Shing-Chi

Conference paper 1

Exploring and exploiting the correlations between bug-inducing and bug-fixing commits

ESEC/FSE 2019: Proceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering / Association for Computing Machinery. New York, NY : Association for Computing Machinery, 2019, p. 326-337
Wen, Ming; Wu, Rongxin; Liu, Yepang; Tian, Yongqiang; Xie, Xuan; Cheung, Shing Chi; Su, Zhendong

Teaching Assignment

COMP1021	Introduction to Computer Science
UROP1100N	Undergraduate Research Opportunities Series 1

No Teaching Assignments

Projects

From January 2022 to December 2024

No Projects.
The application of test case generation and reduction in industry

測試用例生成和縮減在工業界的應用探索 Leading

Huawei Technologies Co., Ltd.
Project Team (HKUST)
TIAN Yongqiang (Lead)
2024 -

Research Interest

Publications

2024 2

2023 12

2022 2

2021 4

2020 1

2019 1

Conference paper 2

Article 6

Conference paper 6

Conference paper 2

Article 2

Conference paper 2

Conference paper 1

Conference paper 1

Teaching Assignment

Projects

From January 2022 to December 2024

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