Jingyi Wang
Jingyi Wang
Assistant Professor, Zhejiang University
Verified email at zju.edu.cn - Homepage
Title
Cited by
Cited by
Year
Adversarial sample detection for deep neural network through model mutation testing
J Wang, G Dong, J Sun, X Wang, P Zhang
2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE …, 2019
892019
Towards Optimal Concolic Testing
X Wang, J Sun, Z Chen, P Zhang, J Wang, Y Lin
2018 IEEE/ACM 40th International Conference on Software Engineering (ICSE), 2018
432018
Detecting adversarial samples for deep neural networks through mutation testing
J Wang, J Sun, P Zhang, X Wang
arXiv preprint arXiv:1805.05010, 2018
372018
White-box fairness testing through adversarial sampling
P ZHANG, J WANG, J SUN, G DONG, X WANG, X WANG, JS DONG, ...
2020 IEEE/ACM 42nd International Conference on Software Engineering (ICSE), 2020
202020
An Empirical Study on Correlation between Coverage and Robustness for Deep Neural Networks
Y Dong, P Zhang, J Wang, S Liu, J Sun, J Hao, X Wang, L Wang, J Dong, ...
2020 25th International Conference on Engineering of Complex Computer …, 2020
13*2020
Should we learn probabilistic models for model checking? A new approach and an empirical study
J Wang, J Sun, Q Yuan, J Pang
International Conference on Fundamental Approaches to Software Engineering, 3-21, 2017
112017
Automatically ‘Verifying’ Discrete-Time Complex Systems through Learning, Abstraction and Refinement
J Wang, J Sun, S Qin, C Jegourel
IEEE Transactions on Software Engineering, 2018
10*2018
Towards concolic testing for hybrid systems
P Kong, Y Li, X Chen, J Sun, M Sun, J Wang
International Symposium on Formal Methods, 460-478, 2016
92016
Towards interpreting recurrent neural networks through probabilistic abstraction
G Dong, J Wang, J Sun, Y Zhang, X Wang, T Dai, JS Dong, X Wang
2020 35th IEEE/ACM International Conference on Automated Software …, 2020
72020
Learning probabilistic models for model checking: an evolutionary approach and an empirical study
J Wang, J Sun, Q Yuan, J Pang
International Journal on Software Tools for Technology Transfer 20 (6), 689-704, 2018
62018
Towards ‘Verifying’ a Water Treatment System
J Wang, J Sun, Y Jia, S Qin, Z Xu
International Symposium on Formal Methods, 73-92, 2018
52018
RobOT: Robustness-oriented testing for deep learning systems
J Wang, J Chen, Y Sun, X Ma, D Wang, J Sun, P Cheng
2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE …, 2021
42021
Improving neural network verification through spurious region guided refinement
P Yang, R Li, J Li, CC Huang, J Wang, J Sun, B Xue, L Zhang
Tools and Algorithms for the Construction and Analysis of Systems 12651, 389, 2021
32021
Importance Sampling of Interval Markov Chains
C Jegourel, J Wang, J Sun
48th Annual IEEE/IFIP International Conference on Dependable Systems and …, 2018
32018
Improving probability estimation through active probabilistic model learning
J Wang, X Chen, J Sun, S Qin
International Conference on Formal Engineering Methods, 379-395, 2017
32017
Learning Likely Invariants to Explain Why a Program Fails
LH Pham, J Sun, LLT Thi, J Wang, X Peng
22nd International Conference on Engineering of Complex Computer Systems …, 2017
22017
Adversarial Attacks and Mitigation for Anomaly Detectors of Cyber-Physical Systems
Y Jia, J Wang, CM Poskitt, S Chattopadhyay, J Sun, Y Chen
International Journal of Critical Infrastructure Protection, 100452, 2021
12021
Attack as Defense: Characterizing Adversarial Examples using Robustness
Z Zhao, G Chen, J Wang, Y Yang, F Song, J Sun
arXiv preprint arXiv:2103.07633, 2021
12021
Towards Repairing Neural Networks Correctly
G Dong, J Sun, J Wang, X Wang, T Dai
arXiv preprint arXiv:2012.01872, 2020
12020
Service adaptation with probabilistic partial models
M Chen, TH Tan, J Sun, J Wang, Y Liu, J Sun, JS Dong
International Conference on Formal Engineering Methods, 122-140, 2016
12016
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