| 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 | 390 | 2018 |
| Logbert: Log anomaly detection via bert H Guo, S Yuan, X Wu 2021 international joint conference on neural networks (IJCNN), 1-8, 2021 | 313 | 2021 |
| Deep learning for insider threat detection: Review, challenges and opportunities S Yuan, X Wu Computers & Security 104, 102221, 2021 | 250 | 2021 |
| 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 | 200 | 2019 |
| SNE: signed network embedding S Yuan, X Wu, Y Xiang Advances in Knowledge Discovery and Data Mining: 21st Pacific-Asia …, 2017 | 154 | 2017 |
| 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 | 120 | 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 | 102 | 2019 |
| 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 (1), 7816154, 2019 | 89 | 2019 |
| 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 | 61 | 2019 |
| DPNE: Differentially private network embedding D Xu, S Yuan, X Wu, HN Phan Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia …, 2018 | 55 | 2018 |
| A Two Phase Deep Learning Model for Identifying Discrimination from Tweets. S Yuan, X Wu, Y Xiang EDBT, 696-697, 2016 | 52 | 2016 |
| 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 | 49 | 2019 |
| Unsupervised cross-system log anomaly detection via domain adaptation X Han, S Yuan Proceedings of the 30th ACM international conference on information …, 2021 | 45 | 2021 |
| 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 | 45 | 2019 |
| 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 | 39 | 2017 |
| 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 | 32 | 2018 |
| Achieving differential privacy in vertically partitioned multiparty learning D Xu, S Yuan, X Wu 2021 IEEE International Conference on Big Data (Big Data), 5474-5483, 2021 | 31 | 2021 |
| 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, e15, 2020 | 31 | 2020 |
| Wikipedia vandal early detection: from user behavior to user embedding S Yuan, P Zheng, X Wu, Y Xiang Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017 | 31 | 2017 |
| A novel self-learning feature selection approach based on feature attributions J Chen, S Yuan, D Lv, Y Xiang Expert Systems with Applications 183, 115219, 2021 | 30 | 2021 |
