Yongqiang Tian

According to our database, Yongqiang Tian authored at least 35 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

ACM Trans. Softw. Eng. Methodol., January, 2024

Deep Dive into Probabilistic Delta Debugging: Insights and Simplifications.

Mengxiao Zhang, Zhenyang Xu, Yongqiang Tian, Xinru Cheng, Chengnian Sun

CoRR, 2024

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

CoRR, 2024

DLLens: Testing Deep Learning Libraries via LLM-aided Synthesis.

Meiziniu Li, Dongze Li, Jianmeng Liu, Jialun Cao, Yongqiang Tian, Shing-Chi Cheung

CoRR, 2024

LPR: Large Language Models-Aided Program Reduction.

Mengxiao Zhang, Yongqiang Tian, Zhenyang Xu, Yiwen Dong, Shin Hwei Tan, Chengnian Sun

Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

Towards Understanding the Bugs in Solidity Compiler.

Haoyang Ma, Wuqi Zhang, Qingchao Shen, Yongqiang Tian, Junjie Chen, Shing-Chi Cheung

Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

2023

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

ACM Trans. Softw. Eng. Methodol., September, 2023

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

Meiziniu Li, Jialun Cao, Yongqiang Tian, Tsz On Li, Ming Wen, Shing-Chi Cheung

ACM Trans. Softw. Eng. Methodol., September, 2023

Artifact for "PPR: Pairwise Program Reduction".

Mengxiao Zhang, Zhenyang Xu, Yongqiang Tian, Yu Jiang, Chengnian Sun

Dataset, August, 2023

Artifact for "Pushing the Limit of 1-Minimality of Language-Agnostic Program Reduction".

Zhenyang Xu, Yongqiang Tian, Mengxiao Zhang, Gaosen Zhao, Yu Jiang, Chengnian Sun

Dataset, July, 2023

Artifact for "Pushing the Limit of 1-Minimality of Language-Agnostic Program Reduction".

Zhenyang Xu, Yongqiang Tian, Mengxiao Zhang, Gaosen Zhao, Yu Jiang, Chengnian Sun

Dataset, July, 2023

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

Zhenyang Xu, Yongqiang Tian, Mengxiao Zhang, Gaosen Zhao, Yu Jiang, Chengnian Sun

Proc. ACM Program. Lang., April, 2023

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

Yiwen Dong, Zheyang Li, Yongqiang Tian, Chengnian Sun, Michael W. Godfrey, Meiyappan Nagappan

ACM Trans. Softw. Eng. Methodol., January, 2023

Lampr: Boosting the Effectiveness of Language-Generic Program Reduction via Large Language Models.

Mengxiao Zhang, Yongqiang Tian, Zhenyang Xu, Yiwen Dong, Shin Hwei Tan, Chengnian Sun

CoRR, 2023

PPR: Pairwise Program Reduction.

Mengxiao Zhang, Zhenyang Xu, Yongqiang Tian, Yu Jiang, Chengnian Sun

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Ad Hoc Syntax-Guided Program Reduction.

Jia Le Tian, Mengxiao Zhang, Zhenyang Xu, Yongqiang Tian, Yiwen Dong, Chengnian Sun

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

CoopHance: Cooperative Enhancement for Robustness of Deep Learning Systems.

Quan Zhang, Yongqiang Tian, Yifeng Ding, Shanshan Li, Chengnian Sun, Yu Jiang, Jiaguang Sun

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

Fuzzing Deep Learning Compilers with HirGen.

Haoyang Ma, Qingchao Shen, Yongqiang Tian, Junjie Chen, Shing-Chi Cheung

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

Revisiting the Evaluation of Deep Learning-Based Compiler Testing.

Yongqiang Tian, Zhenyang Xu, Yiwen Dong, Chengnian Sun, Shing-Chi Cheung

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Compilation Consistency Modulo Debug Information.

Theodore Luo Wang, Yongqiang Tian, Yiwen Dong, Zhenyang Xu, Chengnian Sun

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

HirFuzz: Detecting High-Level Optimization Bugs in DL Compilers via Computational Graph Generation.

Haoyang Ma, Qingchao Shen, Yongqiang Tian, Junjie Chen, Shing-Chi Cheung

CoRR, 2022

MEMO: Coverage-guided Model Generation For Deep Learning Library Testing.

Meiziniu Li, Jialun Cao, Yongqiang Tian, Tsz On Li, Ming Wen, Shing-Chi Cheung

CoRR, 2022

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

Yiwen Dong, Tianxiao Gu, Yongqiang Tian, Chengnian Sun

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

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

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021

Historical Spectrum Based Fault Localization.

Ming Wen, Junjie Chen, Yongqiang Tian, Rongxin Wu, Dan Hao, Shi Han, Shing-Chi Cheung

IEEE Trans. Software Eng., 2021

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

Empir. Softw. Eng., 2021

Fast Test Input Generation for Finding Deviated Behaviors in Compressed Deep Neural Network.

Yongqiang Tian, Wuqi Zhang, Ming Wen, Shing-Chi Cheung, Chengnian Sun, Shiqing Ma, Yu Jiang

CoRR, 2021

A comprehensive study of deep learning compiler bugs.

Qingchao Shen, Haoyang Ma, Junjie Chen, Yongqiang Tian, Shing-Chi Cheung, Xiang Chen

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

AdvDoor: adversarial backdoor attack of deep learning system.

Quan Zhang, Yifeng Ding, Yongqiang Tian, Jianmin Guo, Min Yuan, Yu Jiang

Proceedings of the ISSTA '21: 30th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2021

2020

EvalDNN: a toolbox for evaluating deep neural network models.

Yongqiang Tian, Zhihua Zeng, Ming Wen, Yepang Liu, Tzu-yang Kuo, Shing-Chi Cheung

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Companion Volume, Seoul, South Korea, 27 June, 2020

2019

Testing Deep Learning Models for Image Analysis Using Object-Relevant Metamorphic Relations.

Yongqiang Tian, Shiqing Ma, Ming Wen, Yepang Liu, Shing-Chi Cheung, Xiangyu Zhang

CoRR, 2019

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

Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019

2017

Unveiling performance of NFV software dataplanes.

Zhixiong Niu, Hong Xu, Libin Liu, Yongqiang Tian, Peng Wang, Zhenhua Li

Proceedings of the 2nd Workshop on Cloud-Assisted Networking, 2017

2016

Benchmarking NFV Software Dataplanes.

Zhixiong Niu, Hong Xu, Yongqiang Tian, Libin Liu, Peng Wang, Zhenhua Li

CoRR, 2016

Kuijia: Traffic rescaling in data center WANs.

Che Zhang, Hong Xu, Libin Liu, Zhixiong Niu, Peng Wang, Yongqiang Tian, Chengchen Hu

Proceedings of the 37th IEEE Sarnoff Symposium 2016, Newark, NJ, USA, 2016