| Deep isolation forest for anomaly detection H Xu, G Pang, Y Wang, Y Wang IEEE Transactions on Knowledge and Data Engineering 35 (12), 12591-12604, 2023 | 231 | 2023 |
| Calibrated one-class classification for unsupervised time series anomaly detection H Xu, Y Wang, S Jian, Q Liao, Y Wang, G Pang IEEE Transactions on Knowledge and Data Engineering, 2024 | 65 | 2024 |
| Beyond outlier detection: Outlier interpretation by attention-guided triplet deviation network H Xu, Y Wang, S Jian, Z Huang, Y Wang, N Liu, F Li Proceedings of the Web Conference 2021, 1328-1339, 2021 | 45 | 2021 |
| Fascinating Supervisory Signals and Where to Find Them: Deep Anomaly Detection with Scale Learning H Xu, Y Wang, J Wei, S Jian, Y Li, N Liu Proceedings of the 40th International Conference on Machine Learning, 38655 …, 2023 | 41 | 2023 |
| Hierarchical adaptive pooling by capturing high-order dependency for graph representation learning N Liu, S Jian, D Li, Y Zhang, Z Lai, H Xu IEEE Transactions on Knowledge and Data Engineering 35 (4), 3952-3965, 2021 | 35 | 2021 |
| Few-shot website fingerprinting attack M Chen, Y Wang, H Xu, X Zhu Computer Networks 198, 108298, 2021 | 35 | 2021 |
| Selective value coupling learning for detecting outliers in high-dimensional categorical data G Pang, H Xu, L Cao, W Zhao Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 35 | 2017 |
| Rosas: Deep semi-supervised anomaly detection with contamination-resilient continuous supervision H Xu, Y Wang, G Pang, S Jian, N Liu, Y Wang Information Processing & Management 60 (5), 103459, 2023 | 25 | 2023 |
| Mix: A joint learning framework for detecting both clustered and scattered outliers in mixed-type data H Xu, Y Wang, Y Wang, Z Wu 2019 IEEE International Conference on Data Mining (ICDM), 1408-1413, 2019 | 24 | 2019 |
| Exploring a high-quality outlying feature value set for noise-resilient outlier detection in categorical data H Xu, Y Wang, L Cheng, Y Wang, X Ma Proceedings of the 27th ACM international conference on information and …, 2018 | 24 | 2018 |
| Embedding-based complex feature value coupling learning for detecting outliers in non-iid categorical data H Xu, Y Wang, Z Wu, Y Wang Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 5541-5548, 2019 | 20 | 2019 |
| Dram failure prediction in large-scale data centers F Yu, H Xu, S Jian, C Huang, Y Wang, Z Wu 2021 IEEE International Conference on Joint Cloud Computing (JCC), 1-8, 2021 | 14 | 2021 |
| DRAM Failure Prediction in AIOps: Empirical Evaluation, Challenges and Opportunities Z Wu, H Xu, G Pang, F Yu, Y Wang, S Jian, Y Wang arXiv e-prints, arXiv: 2104.15052, 2021 | 11 | 2021 |
| Unsupervised hierarchical graph pooling via substructure-sensitive mutual information maximization N Liu, S Jian, D Li, H Xu Proceedings of the 31st ACM International Conference on Information …, 2022 | 10 | 2022 |
| Tree2tree structural language modeling for compiler fuzzing H Xu, S Fan, Y Wang, Z Huang, H Xu, P Xie Algorithms and Architectures for Parallel Processing: 20th International …, 2020 | 9 | 2020 |
| Self-supervised Spatial-Temporal Normality Learning for Time Series Anomaly Detection Y Chen, H Xu, G Pang, H Qiao, Y Zhou, M Shang Joint European Conference on Machine Learning and Knowledge Discovery in …, 2024 | 3 | 2024 |
| Multi-scale sampling based mlp networks for anomaly detection in multivariate time series H Li, H Xu, W Peng, C Shen, X Qiu 2023 IEEE 29th International Conference on Parallel and Distributed Systems …, 2023 | 3 | 2023 |
| Interaction Context‐Aware Network Behavior Anomaly Detection for Discovering Unknown Attacks ZQ Qin, HZ Xu, XK Ma, YJ Wang Security and Communication Networks 2022 (1), 3595304, 2022 | 3 | 2022 |
| Script event prediction based on pre-trained model with tail event enhancement Z Huang, Y Wang, H Xu, S Jian, Z Wang Proceedings of the 2021 5th International Conference on Computer Science and …, 2021 | 3 | 2021 |
| Word Embedding-based Context-sensitive Network Flow Payload Anomaly Detection Y Li, Y Wang, L Cheng, H Xu 2021 3rd International Conference on Applied Machine Learning (ICAML), 191-194, 2021 | 3 | 2021 |
Songlei JianNUDTכתובת אימייל מאומתת בדומיין nudt.edu.cn
