Yongqiang Tian

51 papers A* 7A 5Journal 29Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Enhancing Differential Testing with LLMs for Testing Deep Learning Libraries.
ACM Trans. Softw. Eng. Methodol.
Meiziniu Li, Dongze Li, Jianmeng Liu, Jialun Cao, Yongqiang Tian, Shing-Chi Cheung
2026 — conf
LPO: Discovering Missed Peephole Optimizations with Large Language Models.
ASPLOS (2)
Zhenyang Xu, Hongxu Xu, Yongqiang Tian, Xintong Zhou, Chengnian Sun
2025 A* conf
A Tale of Two DL Cities: When Library Tests Meet Compiler.
ICSE
Qingchao Shen, Yongqiang Tian, Haoyang Ma, Junjie Chen, Lili Huang, Ruifeng Fu, Shing-Chi Cheung, Zan Wang
2025 J jnl
An Empirical Study of Bugs in Data Visualization Libraries.
CoRR
Weiqi Lu, Yongqiang Tian, Xiaohan Zhong, Haoyang Ma, Zhenyang Xu, Shing-Chi Cheung, Chengnian Sun
2025 J jnl
An Empirical Study of Bugs in Data Visualization Libraries.
Proc. ACM Softw. Eng.
Weiqi Lu, Yongqiang Tian, Xiaohan Zhong, Haoyang Ma, Zhenyang Xu, Shing-Chi Cheung, Chengnian Sun
2025 J jnl
Beyond Memorization: Evaluating the True Type Inference Capabilities of LLMs for Java Code Snippets.
CoRR
Yiwen Dong, Zhenyang Xu, Yongqiang Tian, Chengnian Sun
2025 J jnl
Boosting Program Reduction with the Missing Piece of Syntax-Guided Transformations.
Proc. ACM Program. Lang.
Zhenyang Xu, Yongqiang Tian, Mengxiao Zhang, Chengnian Sun
2025 J jnl
Bounded Exhaustive Random Program Generation for Testing Solidity Compilers and Analyzers.
CoRR
Haoyang Ma, Alastair F. Donaldson, Qingchao Shen, Yongqiang Tian, Junjie Chen, Shing-Chi Cheung
2025 — conf
Kitten: A Simple Yet Effective Baseline for Evaluating LLM-Based Compiler Testing Techniques.
ISSTA Companion
Yuanmin Xie, Zhenyang Xu, Yongqiang Tian, Min Zhou, Xintong Zhou, Chengnian Sun
2025 J jnl
LLM-Powered Detection of Price Manipulation in DeFi.
CoRR
Lu Liu, Wuqi Zhang, Lili Wei, Hao Guan, Yongqiang Tian, Yepang Liu
2025 A* conf
Latra: A Template-Based Language-Agnostic Transformation Framework for Effective Program Reduction.
ASE
Zhenyang Xu, Yiran Wang, Yongqiang Tian, Mengxiao Zhang, Chengnian Sun
2025 J jnl
Leveraging Large Language Models to Detect Missed Peephole Optimizations.
CoRR
Zhenyang Xu, Hongxu Xu, Yongqiang Tian, Xintong Zhou, Chengnian Sun
2025 J jnl
Optimization-Aware Test Generation for Deep Learning Compilers.
CoRR
Qingchao Shen, Zan Wang, Haoyang Ma, Yongqiang Tian, Lili Huang, Zibo Xiao, Junjie Chen, Shing-Chi Cheung
2025 J jnl
T-Rec: Fine-Grained Language-Agnostic Program Reduction Guided by Lexical Syntax.
ACM Trans. Softw. Eng. Methodol.
Zhenyang Xu, Yongqiang Tian, Mengxiao Zhang, Jiarui Zhang, Puzhuo Liu, Yu Jiang, Chengnian Sun
2025 A* conf
Toward a Better Understanding of Probabilistic Delta Debugging.
ICSE
Mengxiao Zhang, Zhenyang Xu, Yongqiang Tian, Xinru Cheng, Chengnian Sun
2025 A* conf
WDD: Weighted Delta Debugging.
ICSE
Xintong Zhou, Zhenyang Xu, Mengxiao Zhang, Yongqiang Tian, Chengnian Sun
2024 J jnl
A Tale of Two DL Cities: When Library Tests Meet Compiler.
CoRR
Qingchao Shen, Yongqiang Tian, Haoyang Ma, Junjie Chen, Lili Huang, Ruifeng Fu, Shing-Chi Cheung, Zan Wang
2024 J jnl
DLLens: Testing Deep Learning Libraries via LLM-aided Synthesis.
CoRR
Meiziniu Li, Dongze Li, Jianmeng Liu, Jialun Cao, Yongqiang Tian, Shing-Chi Cheung
2024 J jnl
Deep Dive into Probabilistic Delta Debugging: Insights and Simplifications.
CoRR
Mengxiao Zhang, Zhenyang Xu, Yongqiang Tian, Xinru Cheng, Chengnian Sun
2024 A conf
LPR: Large Language Models-Aided Program Reduction.
ISSTA
Mengxiao Zhang, Yongqiang Tian, Zhenyang Xu, Yiwen Dong, Shin Hwei Tan, Chengnian Sun
2024 J jnl
On the Caching Schemes to Speed Up Program Reduction.
ACM Trans. Softw. Eng. Methodol.
Yongqiang Tian, Xueyan Zhang, Yiwen Dong, Zhenyang Xu, Mengxiao Zhang, Yu Jiang, Shing-Chi Cheung, Chengnian Sun
2024 A conf
Towards Understanding the Bugs in Solidity Compiler.
ISSTA
Haoyang Ma, Wuqi Zhang, Qingchao Shen, Yongqiang Tian, Junjie Chen, Shing-Chi Cheung
2024 J jnl
Towards Understanding the Bugs in Solidity Compiler.
CoRR
Haoyang Ma, Wuqi Zhang, Qingchao Shen, Yongqiang Tian, Junjie Chen, Shing-Chi Cheung
2024 J jnl
WDD: Weighted Delta Debugging.
CoRR
Xintong Zhou, Zhenyang Xu, Mengxiao Zhang, Yongqiang Tian, Chengnian Sun
2023 — conf
Ad Hoc Syntax-Guided Program Reduction.
ESEC/SIGSOFT FSE
Jia Le Tian, Mengxiao Zhang, Zhenyang Xu, Yongqiang Tian, Yiwen Dong, Chengnian Sun
2023 J jnl
Bash in the Wild: Language Usage, Code Smells, and Bugs.
ACM Trans. Softw. Eng. Methodol.
Yiwen Dong, Zheyang Li, Yongqiang Tian, Chengnian Sun, Michael W. Godfrey, Meiyappan Nagappan
2023 J jnl
COMET: Coverage-guided Model Generation For Deep Learning Library Testing.
ACM Trans. Softw. Eng. Methodol.
Meiziniu Li, Jialun Cao, Yongqiang Tian, Tsz On Li, Ming Wen, Shing-Chi Cheung
2023 — conf
Compilation Consistency Modulo Debug Information.
ASPLOS (2)
Theodore Luo Wang, Yongqiang Tian, Yiwen Dong, Zhenyang Xu, Chengnian Sun
2023 A conf
CoopHance: Cooperative Enhancement for Robustness of Deep Learning Systems.
ISSTA
Quan Zhang, Yongqiang Tian, Yifeng Ding, Shanshan Li, Chengnian Sun, Yu Jiang, Jiaguang Sun
2023 J jnl
Finding Deviated Behaviors of the Compressed DNN Models for Image Classifications.
ACM Trans. Softw. Eng. Methodol.
Yongqiang Tian, Wuqi Zhang, Ming Wen, Shing-Chi Cheung, Chengnian Sun, Shiqing Ma, Yu Jiang
2023 A conf
Fuzzing Deep Learning Compilers with HirGen.
ISSTA
Haoyang Ma, Qingchao Shen, Yongqiang Tian, Junjie Chen, Shing-Chi Cheung
2023 J jnl
Lampr: Boosting the Effectiveness of Language-Generic Program Reduction via Large Language Models.
CoRR
Mengxiao Zhang, Yongqiang Tian, Zhenyang Xu, Yiwen Dong, Shin Hwei Tan, Chengnian Sun
2023 — conf
PPR: Pairwise Program Reduction.
ESEC/SIGSOFT FSE
Mengxiao Zhang, Zhenyang Xu, Yongqiang Tian, Yu Jiang, Chengnian Sun
2023 J jnl
Pushing the Limit of 1-Minimality of Language-Agnostic Program Reduction.
Proc. ACM Program. Lang.
Zhenyang Xu, Yongqiang Tian, Mengxiao Zhang, Gaosen Zhao, Yu Jiang, Chengnian Sun
2023 A* conf
Revisiting the Evaluation of Deep Learning-Based Compiler Testing.
IJCAI
Yongqiang Tian, Zhenyang Xu, Yiwen Dong, Chengnian Sun, Shing-Chi Cheung
2022 A* conf
DeepFD: Automated Fault Diagnosis and Localization for Deep Learning Programs.
ICSE
Jialun Cao, Meiziniu Li, Xiao Chen, Ming Wen, Yongqiang Tian, Bo Wu, Shing-Chi Cheung
2022 J jnl
DeepFD: Automated Fault Diagnosis and Localization for Deep Learning Programs.
CoRR
Jialun Cao, Meiziniu Li, Xiao Chen, Ming Wen, Yongqiang Tian, Bo Wu, Shing-Chi Cheung
2022 J jnl
HirFuzz: Detecting High-Level Optimization Bugs in DL Compilers via Computational Graph Generation.
CoRR
Haoyang Ma, Qingchao Shen, Yongqiang Tian, Junjie Chen, Shing-Chi Cheung
2022 J jnl
MEMO: Coverage-guided Model Generation For Deep Learning Library Testing.
CoRR
Meiziniu Li, Jialun Cao, Yongqiang Tian, Tsz On Li, Ming Wen, Shing-Chi Cheung
2022 A* conf
SnR: Constraint-Based Type Inference for Incomplete Java Code Snippets.
ICSE
Yiwen Dong, Tianxiao Gu, Yongqiang Tian, Chengnian Sun
2021 — conf
A comprehensive study of deep learning compiler bugs.
ESEC/SIGSOFT FSE
Qingchao Shen, Haoyang Ma, Junjie Chen, Yongqiang Tian, Shing-Chi Cheung, Xiang Chen
2021 A conf
AdvDoor: adversarial backdoor attack of deep learning system.
ISSTA
Quan Zhang, Yifeng Ding, Yongqiang Tian, Jianmin Guo, Min Yuan, Yu Jiang
2021 J jnl
Fast Test Input Generation for Finding Deviated Behaviors in Compressed Deep Neural Network.
CoRR
Yongqiang Tian, Wuqi Zhang, Ming Wen, Shing-Chi Cheung, Chengnian Sun, Shiqing Ma, Yu Jiang
2021 J jnl
Historical Spectrum Based Fault Localization.
IEEE Trans. Software Eng.
Ming Wen, Junjie Chen, Yongqiang Tian, Rongxin Wu, Dan Hao, Shi Han, Shing-Chi Cheung
2021 J jnl
To what extent do DNN-based image classification models make unreliable inferences?
Empir. Softw. Eng.
Yongqiang Tian, Shiqing Ma, Ming Wen, Yepang Liu, Shing-Chi Cheung, Xiangyu Zhang
2020 — conf
EvalDNN: a toolbox for evaluating deep neural network models.
ICSE (Companion Volume)
Yongqiang Tian, Zhihua Zeng, Ming Wen, Yepang Liu, Tzu-yang Kuo, Shing-Chi Cheung
2019 — conf
Exploring and exploiting the correlations between bug-inducing and bug-fixing commits.
ESEC/SIGSOFT FSE
Ming Wen, Rongxin Wu, Yepang Liu, Yongqiang Tian, Xuan Xie, Shing-Chi Cheung, Zhendong Su
2019 J jnl
Testing Deep Learning Models for Image Analysis Using Object-Relevant Metamorphic Relations.
CoRR
Yongqiang Tian, Shiqing Ma, Ming Wen, Yepang Liu, Shing-Chi Cheung, Xiangyu Zhang
2017 — conf
Unveiling performance of NFV software dataplanes.
CAN@CoNEXT
Zhixiong Niu, Hong Xu, Libin Liu, Yongqiang Tian, Peng Wang, Zhenhua Li
2016 J jnl
Benchmarking NFV Software Dataplanes.
CoRR
Zhixiong Niu, Hong Xu, Yongqiang Tian, Libin Liu, Peng Wang, Zhenhua Li
2016 — conf
Kuijia: Traffic rescaling in data center WANs.
Sarnoff Symposium
Che Zhang, Hong Xu, Libin Liu, Zhixiong Niu, Peng Wang, Yongqiang Tian, Chengchen Hu