Yongqiang Tian

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 17

Top Topics

Fault Localization

Top Venues

ESEC/SIGSOFT FSE

ICSE (Companion Volume)

Publications

Shujun Wang, Yongqiang Tian, Dengcheng He
gMeta: Template-based Regular Expression Generation over Noisy Examples. CoRR (2022)
Jialun Cao, Meiziniu Li, Xiao Chen, Ming Wen, Yongqiang Tian, Bo Wu, Shing-Chi Cheung
DeepFD: Automated Fault Diagnosis and Localization for Deep Learning Programs. CoRR (2022)
Meiziniu Li, Jialun Cao, Yongqiang Tian, Tsz On Li, Ming Wen, Shing-Chi Cheung
MEMO: Coverage-guided Model Generation For Deep Learning Library Testing. CoRR (2022)
Yiwen Dong, Tianxiao Gu, Yongqiang Tian, Chengnian Sun
SnR: Constraint-Based Type Inference for Incomplete Java Code Snippets. ICSE (2022)
Jialun Cao, Meiziniu Li, Xiao Chen, Ming Wen, Yongqiang Tian, Bo Wu, Shing-Chi Cheung
DeepFD: Automated Fault Diagnosis and Localization for Deep Learning Programs. ICSE (2022)
Haoyang Ma, Qingchao Shen, Yongqiang Tian, Junjie Chen, Shing-Chi Cheung
HirFuzz: Detecting High-Level Optimization Bugs in DL Compilers via Computational Graph Generation. CoRR (2022)
Quan Zhang, Yifeng Ding, Yongqiang Tian, Jianmin Guo, Min Yuan, Yu Jiang
AdvDoor: adversarial backdoor attack of deep learning system. ISSTA (2021)
Yongqiang Tian, Wuqi Zhang, Ming Wen, Shing-Chi Cheung, Chengnian Sun, Shiqing Ma, Yu Jiang
Fast Test Input Generation for Finding Deviated Behaviors in Compressed Deep Neural Network. CoRR (2021)
Ming Wen, Junjie Chen, Yongqiang Tian, Rongxin Wu, Dan Hao, Shi Han, Shing-Chi Cheung
Historical Spectrum Based Fault Localization. IEEE Trans. Software Eng. 47 (11) (2021)
Qingchao Shen, Haoyang Ma, Junjie Chen, Yongqiang Tian, Shing-Chi Cheung, Xiang Chen
A comprehensive study of deep learning compiler bugs. ESEC/SIGSOFT FSE (2021)
Yongqiang Tian, Shiqing Ma, Ming Wen, Yepang Liu, Shing-Chi Cheung, Xiangyu Zhang
To what extent do DNN-based image classification models make unreliable inferences? Empir. Softw. Eng. 26 (4) (2021)
Yongqiang Tian, Zhihua Zeng, Ming Wen, Yepang Liu, Tzu-yang Kuo, Shing-Chi Cheung
EvalDNN: a toolbox for evaluating deep neural network models. ICSE (Companion Volume) (2020)
Ming Wen, Rongxin Wu, Yepang Liu, Yongqiang Tian, Xuan Xie, Shing-Chi Cheung, Zhendong Su
Exploring and exploiting the correlations between bug-inducing and bug-fixing commits. ESEC/SIGSOFT FSE (2019)
Yongqiang Tian, Shiqing Ma, Ming Wen, Yepang Liu, Shing-Chi Cheung, Xiangyu Zhang
Testing Deep Learning Models for Image Analysis Using Object-Relevant Metamorphic Relations. CoRR (2019)
Zhixiong Niu, Hong Xu, Libin Liu, Yongqiang Tian, Peng Wang, Zhenhua Li
Unveiling performance of NFV software dataplanes. CAN@CoNEXT (2017)
Zhixiong Niu, Hong Xu, Yongqiang Tian, Libin Liu, Peng Wang, Zhenhua Li
Benchmarking NFV Software Dataplanes. CoRR (2016)
Che Zhang, Hong Xu, Libin Liu, Zhixiong Niu, Peng Wang, Yongqiang Tian, Chengchen Hu
Kuijia: Traffic rescaling in data center WANs. Sarnoff Symposium (2016)