| Fairgan: Fairness-aware generative adversarial networks D Xu, S Yuan, L Zhang, X Wu 2018 IEEE International Conference on Big Data (Big Data), 570-575, 2018 | 163 | 2018 |
| SNE: signed network embedding S Yuan, X Wu, Y Xiang Pacific-Asia conference on knowledge discovery and data mining, 183-195, 2017 | 103 | 2017 |
| One-class adversarial nets for fraud detection P Zheng, S Yuan, X Wu, J Li, A Lu Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 1286-1293, 2019 | 94 | 2019 |
| A Two Phase Deep Learning Model for Identifying Discrimination from Tweets. S Yuan, X Wu, Y Xiang EDBT, 696-697, 2016 | 53 | 2016 |
| Deep learning for insider threat detection: Review, challenges and opportunities S Yuan, X Wu Computers & Security 104, 102221, 2021 | 47 | 2021 |
| An empirical study of machine learning algorithms for stock daily trading strategy D Lv, S Yuan, M Li, Y Xiang Mathematical problems in engineering 2019, 2019 | 43 | 2019 |
| Achieving differential privacy and fairness in logistic regression D Xu, S Yuan, X Wu Companion proceedings of The 2019 world wide web conference, 594-599, 2019 | 40 | 2019 |
| Achieving causal fairness through generative adversarial networks D Xu, Y Wu, S Yuan, L Zhang, X Wu Proceedings of the Twenty-Eighth International Joint Conference on …, 2019 | 37 | 2019 |
| Incorporating pre-training in long short-term memory networks for tweet classification S Yuan, X Wu, Y Xiang Social Network Analysis and Mining 8 (1), 52, 2018 | 28 | 2018 |
| Spectrum-based deep neural networks for fraud detection S Yuan, X Wu, J Li, A Lu Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 28 | 2017 |
| Logbert: Log anomaly detection via bert H Guo, S Yuan, X Wu 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 23 | 2021 |
| DPNE: Differentially private network embedding D Xu, S Yuan, X Wu, HN Phan Pacific-Asia Conference on Knowledge Discovery and Data Mining, 235-246, 2018 | 21 | 2018 |
| FairGAN+: Achieving Fair Data Generation and Classification through Generative Adversarial Nets D Xu, S Yuan, L Zhang, X Wu 2019 IEEE International Conference on Big Data (Big Data), 1401-1406, 2019 | 19 | 2019 |
| Insider threat detection via hierarchical neural temporal point processes S Yuan, P Zheng, X Wu, Q Li 2019 IEEE International Conference on Big Data (Big Data), 1343-1350, 2019 | 15 | 2019 |
| Safe: A neural survival analysis model for fraud early detection P Zheng, S Yuan, X Wu Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 1278-1285, 2019 | 15 | 2019 |
| On spectral analysis of directed signed graphs Y Li, S Yuan, X Wu, A Lu International Journal of Data Science and Analytics 6 (2), 147-162, 2018 | 12 | 2018 |
| Wikipedia vandal early detection: from user behavior to user embedding S Yuan, P Zheng, X Wu, Y Xiang Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017 | 12 | 2017 |
| User behavior similarity analysis of location based social network SH Yuan, WB Chen, SK Fu Jisuanji Yingyong/ Journal of Computer Applications 32 (2), 322-325, 2012 | 11 | 2012 |
| Predicting human design decisions with deep recurrent neural network combining static and dynamic data MH Rahman, S Yuan, C Xie, Z Sha Design Science 6, 2020 | 9 | 2020 |
| Differential privacy preserving causal graph discovery D Xu, S Yuan, X Wu 2017 IEEE Symposium on Privacy-Aware Computing (PAC), 60-71, 2017 | 9 | 2017 |
Xintao WuUniversity of ArkansasVerified email at uark.edu
