Liu Shuang
Cited by
Cited by
Deep learning library testing via effective model generation
Z Wang, M Yan, J Chen, S Liu, D Zhang
Proceedings of the 28th ACM Joint Meeting on European Software Engineering …, 2020
Falsification of Cyber-Physical Systems Using Deep Reinforcement Learning
JH Takumi Akazaki, Shuang Liu, Yoriyuki Yamagata,Yihai Duan
International Symposium on Formal Methods, 456-465, 2018
A formal semantics for complete UML state machines with communications
S Liu, Y Liu, E André, C Choppy, J Sun, B Wadhwa, JS Dong
Integrated Formal Methods: 10th International Conference, IFM 2013, Turku …, 2013
Attention-based recurrent neural network for influenza epidemic prediction
X Zhu, B Fu, Y Yang, Y Ma, J Hao, S Chen, S Liu, T Li, S Liu, W Guo, ...
BMC bioinformatics 20 (18), 1-10, 2019
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
Falsification of cyber-physical systems using deep reinforcement learning
Y Yamagata, S Liu, T Akazaki, Y Duan, J Hao
IEEE Transactions on Software Engineering 47 (12), 2823 - 2840, 2021
TECCD: A Tree Embedding Approach for Code Clone Detection
Y Gao, Z Wang, S Liu, L Yang, W Sang, Y Cai
2019 IEEE International Conference on Software Maintenance and Evolution …, 2019
Automatic early defects detection in use case documents
S Liu, J Sun, Y Liu, Y Zhang, B Wadhwa, JS Dong, X Wang
Proceedings of the 29th ACM/IEEE international conference on Automated …, 2014
Have you been properly notified? automatic compliance analysis of privacy policy text with GDPR article 13
S Liu, B Zhao, R Guo, G Meng, F Zhang, M Zhang
Proceedings of the Web Conference 2021, 2154-2164, 2021
Fake news detection via knowledgeable prompt learning
MZ Gongyao Jiang, Shuang Liu, Yu Zhao, Yueheng Sun
Information Processing & Management 59 (5), 2022
Pfix: fixing concurrency bugs based on memory access patterns
H Lin, Z Wang, S Liu, J Sun, D Zhang, G Wei
Proceedings of the 33rd ACM/IEEE International Conference on Automated …, 2018
A Survey on Automated Driving System Testing: Landscapes and Trends
S Tang, Z Zhang, Y Zhang, J Zhou, Y Guo, S Liu, S Guo, YF Li, L Ma, ...
TOSEM, 2023
Natural test generation for precise testing of question answering software
Q Shen, J Chen, JM Zhang, H Wang, S Liu, M Tian
Proceedings of the 37th IEEE/ACM International Conference on Automated …, 2022
USMMC: a self-contained model checker for UML state machines
S Liu, Y Liu, J Sun, M Zheng, B Wadhwa, JS Dong
Proceedings of the 2013 9th Joint Meeting on Foundations of Software …, 2013
A comprehensive study on learning-based PE malware family classification methods
Y Ma, S Liu, J Jiang, G Chen, K Li
Proceedings of the 29th ACM Joint Meeting on European Software Engineering …, 2021
Map-coverage: A novel coverage criterion for testing thread-safe classes
Z Wang, Y Zhao, S Liu, J Sun, X Chen, H Lin
2019 34th IEEE/ACM International Conference on Automated Software …, 2019
Towards using concurrent java api correctly
S Liu, G Bai, J Sun, JS Dong
2016 21st International Conference on Engineering of Complex Computer …, 2016
Attention-based recurrent multi-channel neural network for influenza epidemic prediction
B Fu, Y Yang, Y Ma, J Hao, S Chen, S Liu, T Li, Z Liao, X Zhu
2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018
SE-ECGNet: A multi-scale deep residual network with squeeze-and-excitation module for ECG signal classification
H Zhang, W Zhao, S Liu
2020 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2020
FuzzJIT: Oracle-Enhanced Fuzzing for JavaScript Engine JIT Compiler
J Wang, Z Zhang, S Liu, X Du, J Chen
USENIX 2023, 2023
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