Hongzuo Xu
Cited by
Cited by
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
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
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
Few-shot website fingerprinting attack
M Chen, Y Wang, H Xu, X Zhu
Computer Networks 198, 108298, 2021
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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