Deep isolation forest for anomaly detection H Xu, G Pang, Y Wang, Y Wang IEEE Transactions on Knowledge and Data Engineering, 2023 | 67 | 2023 |
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 | 37 | 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 | 32 | 2017 |
Few-shot website fingerprinting attack M Chen, Y Wang, H Xu, X Zhu Computer Networks 198, 108298, 2021 | 26 | 2021 |
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 | 22 | 2021 |
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 | 22 | 2018 |
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 | 21 | 2024 |
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 | 21 | 2019 |
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 | 18 | 2019 |
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 | 12 | 2023 |
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 | 11 | 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 |
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 | 8 | 2020 |
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 | 6 | 2023 |
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 | 5 | 2022 |
Combine value clustering and weighted value coupling learning for outlier detection in categorical data H Xu, Y Wang, Z Wu, X Ma, Z Qin Database and Expert Systems Applications: 29th International Conference …, 2018 | 3 | 2018 |
Effective anomaly detection based on reinforcement learning in network traffic data Z Wang, Y Wang, H Xu, Y Wang 2021 IEEE 27th International Conference on Parallel and Distributed Systems …, 2021 | 2 | 2021 |
Surrogate supervision-based deep weakly-supervised anomaly detection Z Wu, H Xu, Y Wang, Y Wang 2021 International Conference on Data Mining Workshops (ICDMW), 975-982, 2021 | 2 | 2021 |
Oada: An online data augmentation method for raw histopathology images Z Wu, Y Wang, H Mi, H Xu, W Zhang, L Feng Neural Information Processing: 28th International Conference, ICONIP 2021 …, 2021 | 2 | 2021 |
An Outlier Detection Approach Based on WGAN-Empowered Deep Autoencoder Y Huang, H Xu, X Wang, Z Wu 2019 IEEE 9th International Conference on Electronics Information and …, 2019 | 2 | 2019 |