| Semi-supervised time series classification by temporal relation prediction H Fan, F Zhang, R Wang, X Huang, Z Li ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 56 | 2021 |
| Semi-supervised time series classification model with self-supervised learning L Xi, Z Yun, H Liu, R Wang, X Huang, H Fan Engineering Applications of Artificial Intelligence 116, 105331, 2022 | 44 | 2022 |
| Deep dual support vector data description for anomaly detection on attributed networks F Zhang, H Fan, R Wang, Z Li, T Liang International Journal of Intelligent Systems 37 (2), 1509-1528, 2022 | 40 | 2022 |
| Correlation-aware deep generative model for unsupervised anomaly detection H Fan, F Zhang, R Wang, L Xi, Z Li Advances in Knowledge Discovery and Data Mining: 24th Pacific-Asia …, 2020 | 31 | 2020 |
| Multisource neighborhood immune detector adaptive model for anomaly detection L Xi, RD Wang, ZY Yao, FB Zhang IEEE Transactions on Evolutionary Computation 25 (3), 582-594, 2021 | 16 | 2021 |
| Data-correlation-aware unsupervised deep-learning model for anomaly detection in cyber–physical systems L Xi, R Wang, ZJ Haas IEEE Internet of Things Journal 9 (22), 22410-22421, 2022 | 13 | 2022 |
| Caco: attributed network anomaly detection via canonical correlation analysis R Wang, F Zhang, X Huang, C Tian, L Xi, H Fan IEEE Transactions on Industrial Informatics 20 (1), 461-470, 2023 | 7 | 2023 |
| KalmanAE: Deep Embedding Optimized Kalman Filter for Time Series Anomaly Detection X Huang, F Zhang, R Wang, X Lin, H Liu, H Fan IEEE Transactions on Instrumentation and Measurement, 2023 | 5 | 2023 |
| [Retracted] Intrusion Detection Method Based on Deep Learning C Tian, F Zhang, Z Li, R Wang, X Huang, L Xi, Y Zhang Wireless Communications and Mobile Computing 2022 (1), 1338392, 2022 | 4 | 2022 |
| Adaptive Spatio-Temporal Relation based Transformer for Traffic Flow Prediction R Wang, L Xi, J Ye, F Zhang, X Yu, L Xu IEEE Transactions on Vehicular Technology, 2024 | 3 | 2024 |
| Deep joint adversarial learning for anomaly detection on attribute networks H Fan, R Wang, X Huang, F Zhang, Z Li, S Su Information Sciences 654, 119840, 2024 | 3 | 2024 |
| Adversarial regularized attributed network embedding for graph anomaly detection C Tian, F Zhang, R Wang Pattern Recognition Letters 183, 111-116, 2024 | 2 | 2024 |
| Adaptive-Correlation-aware Unsupervised Deep Learning for Anomaly Detection in Cyber-physical Systems L Xi, D Miao, M Li, R Wang, H Liu, X Huang IEEE Transactions on Dependable and Secure Computing, 2023 | 2 | 2023 |
| CC-CSA: A culture&chaos-inspired clonal selection algorithm for abnormal detection L Xi, R Wang, F Zhang, Y Sun Journal of Intelligent & Fuzzy Systems 39 (1), 1289-1301, 2020 | 1 | 2020 |
| NMFAD: Neighbor-aware Mask-Filling Attributed Network Anomaly Detection L Xi, R Li, M Li, D Miao, R Wang, ZJ Haas IEEE Transactions on Information Forensics and Security, 2024 | | 2024 |
| Bidirectional consistency with temporal-aware for semi-supervised time series classification H Liu, F Zhang, X Huang, R Wang, L Xi Neural Networks 180, 106709, 2024 | | 2024 |
| Context Correlation Discrepancy Analysis for Graph Anomaly Detection R Wang, L Xi, F Zhang, H Fan, X Yu, L Liu, S Yu, VCM Leung IEEE Transactions on Knowledge and Data Engineering, 2024 | | 2024 |
| Kalman Filter-based Cycle-Consistent Adversarial Learning for Time Series Anomaly Detection ST Liu, JJ Fan, RD Wang, H Han, DY Zhang | | 2024 |
| Research on Intrusion Detection Method Based on Deep Learning C Tian, F Zhang, Z Li, R Wang, X Huang, L Xi, Y Zhang | | 2023 |
