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2020 – today
- 2024
[j5]Hongzuo Xu
, Yijie Wang, Songlei Jian, Qing Liao, Yongjun Wang, Guansong Pang:
Calibrated One-Class Classification for Unsupervised Time Series Anomaly Detection. IEEE Trans. Knowl. Data Eng. 36(11): 5723-5736 (2024)- [c23]Xiaohui Zhou, Yijie Wang, Hongzuo Xu, Mingyu Liu:
Boundary-Driven Active Learning for Anomaly Detection in Time Series Data Streams. ICASSP 2024: 6135-6139 - [c22]Ning Liu, Songlei Jian, Dongsheng Li, Yiming Zhang, Zhiquan Lai, Hongzuo Xu:
Hierarchical Adaptive Pooling by Capturing High-order Dependency for Graph Representation Learning (Extended Abstract). ICDE 2024: 5683-5684 - [c21]Yutong Chen, Hongzuo Xu, Guansong Pang, Hezhe Qiao, Yuan Zhou, Mingsheng Shang:
Self-supervised Spatial-Temporal Normality Learning for Time Series Anomaly Detection. ECML/PKDD (6) 2024: 145-162 - [i7]Yutong Chen, Hongzuo Xu, Guansong Pang, Hezhe Qiao, Yuan Zhou, Mingsheng Shang:
Self-Supervised Spatial-Temporal Normality Learning for Time Series Anomaly Detection. CoRR abs/2406.19770 (2024) - 2023
- [j4]Hongzuo Xu, Yijie Wang, Guansong Pang, Songlei Jian, Ning Liu, Yongjun Wang:
RoSAS: Deep semi-supervised anomaly detection with contamination-resilient continuous supervision. Inf. Process. Manag. 60(5): 103459 (2023) - [j3]Ning Liu, Songlei Jian, Dongsheng Li, Yiming Zhang, Zhiquan Lai, Hongzuo Xu:
Hierarchical Adaptive Pooling by Capturing High-Order Dependency for Graph Representation Learning. IEEE Trans. Knowl. Data Eng. 35(4): 3952-3965 (2023) - [j2]Hongzuo Xu, Guansong Pang, Yijie Wang, Yongjun Wang:
Deep Isolation Forest for Anomaly Detection. IEEE Trans. Knowl. Data Eng. 35(12): 12591-12604 (2023) - [c20]Mingyu Liu, Yijie Wang, Hongzuo Xu, Xiaohui Zhou, Bin Li, Yongjun Wang:
Smoothing Point Adjustment-Based Evaluation of Time Series Anomaly Detection. ICASSP 2023: 1-5 - [c19]Haojie Li, Hongzuo Xu, Wei Peng:
Deep Reinforced Active Learning for Time Series Anomaly Detection. ICIC (4) 2023: 115-128 - [c18]Hongzuo Xu, Yijie Wang, Juhui Wei, Songlei Jian, Yizhou Li, Ning Liu:
Fascinating Supervisory Signals and Where to Find Them: Deep Anomaly Detection with Scale Learning. ICML 2023: 38655-38673 - [c17]Haojie Li, Hongzuo Xu, Wei Peng, Chiran Shen, Xianwen Qiu:
Multi-Scale Sampling Based MLP Networks for Anomaly Detection in Multivariate Time Series. ICPADS 2023: 1421-1428 - [c16]Xiaohui Zhou, Yijie Wang, Hongzuo Xu, Mingyu Liu, Ruyi Zhang:
Local-Adaptive Transformer for Multivariate Time Series Anomaly Detection and Diagnosis. SMC 2023: 89-95 - [i6]Hongzuo Xu, Yijie Wang, Juhui Wei, Songlei Jian, Yizhou Li, Ning Liu:
Fascinating Supervisory Signals and Where to Find Them: Deep Anomaly Detection with Scale Learning. CoRR abs/2305.16114 (2023) - [i5]Hongzuo Xu, Yijie Wang, Guansong Pang, Songlei Jian, Ning Liu, Yongjun Wang:
RoSAS: Deep Semi-Supervised Anomaly Detection with Contamination-Resilient Continuous Supervision. CoRR abs/2307.13239 (2023) - 2022
- [c15]Ning Liu, Songlei Jian, Dongsheng Li, Hongzuo Xu:
Unsupervised Hierarchical Graph Pooling via Substructure-Sensitive Mutual Information Maximization. CIKM 2022: 1299-1308 - [c14]Ruyi Zhang, Yijie Wang, Haifang Zhou, Bin Li, Hongzuo Xu:
DPSS: Dynamic Parameter Selection for Outlier Detection on Data Streams. ICPADS 2022: 908-915 - [c13]Ruyi Zhang, Yijie Wang, Hongzuo Xu, Haifang Zhou:
Factorization Machine-based Unsupervised Model Selection Method*. SMC 2022: 796-802 - [i4]Hongzuo Xu, Guansong Pang, Yijie Wang, Yongjun Wang:
Deep Isolation Forest for Anomaly Detection. CoRR abs/2206.06602 (2022) - [i3]Hongzuo Xu, Yijie Wang, Songlei Jian, Qing Liao, Yongjun Wang, Guansong Pang:
Calibrated One-class Classification for Unsupervised Time Series Anomaly Detection. CoRR abs/2207.12201 (2022) - 2021
- [j1]Mantun Chen, Yongjun Wang, Hongzuo Xu, Xiatian Zhu:
Few-shot website fingerprinting attack. Comput. Networks 198: 108298 (2021) - [c12]Zhenyu Huang, Yongjun Wang, Hongzuo Xu, Songlei Jian, Zhongyang Wang:
Script event prediction based on pre-trained model with tail event enhancement. CSAI 2021: 242-248 - [c11]Zhiyue Wu, Yijie Wang, Haibo Mi, Hongzuo Xu, Wei Zhang, Lanlan Feng:
OADA: An Online Data Augmentation Method for Raw Histopathology Images. ICONIP (6) 2021: 249-256 - [c10]Zhongyang Wang, Yijie Wang, Hongzuo Xu, Yongjun Wang:
Effective Anomaly Detection Based on Reinforcement Learning in Network Traffic Data. ICPADS 2021: 299-306 - [c9]Zhenyu Huang, Yongjun Wang, Hongzuo Xu, Songlei Jian:
Integrating Argument-Level Attention with Multi-Level Scores to Predict What Happen Next. IJCNN 2021: 1-8 - [c8]Zhiyue Wu, Hongzuo Xu, Yijie Wang, Yongjun Wang:
Surrogate Supervision-based Deep Weakly-supervised Anomaly Detection. ICDM (Workshops) 2021: 975-982 - [c7]Hongzuo Xu, Yijie Wang, Songlei Jian, Zhenyu Huang, Yongjun Wang, Ning Liu, Fei Li:
Beyond Outlier Detection: Outlier Interpretation by Attention-Guided Triplet Deviation Network. WWW 2021: 1328-1339 - [i2]Ning Liu, Songlei Jian, Dongsheng Li, Yiming Zhang, Zhiquan Lai, Hongzuo Xu:
Hierarchical Adaptive Pooling by Capturing High-order Dependency for Graph Representation Learning. CoRR abs/2104.05960 (2021) - [i1]Zhiyue Wu, Hongzuo Xu, Guansong Pang, Fengyuan Yu, Yijie Wang, Songlei Jian, Yongjun Wang:
DRAM Failure Prediction in AIOps: EmpiricalEvaluation, Challenges and Opportunities. CoRR abs/2104.15052 (2021) - 2020
- [c6]Haoran Xu, Shuhui Fan, Yongjun Wang, Zhijian Huang, Hongzuo Xu, Peidai Xie:
Tree2tree Structural Language Modeling for Compiler Fuzzing. ICA3PP (1) 2020: 563-578
2010 – 2019
- 2019
- [c5]Hongzuo Xu, Yongjun Wang, Zhiyue Wu, Yijie Wang:
Embedding-Based Complex Feature Value Coupling Learning for Detecting Outliers in Non-IID Categorical Data. AAAI 2019: 5541-5548 - [c4]Hongzuo Xu, Yijie Wang, Yongjun Wang, Zhiyue Wu:
MIX: A Joint Learning Framework for Detecting Both Clustered and Scattered Outliers in Mixed-Type Data. ICDM 2019: 1408-1413 - 2018
- [c3]Hongzuo Xu, Yongjun Wang, Li Cheng, Yijie Wang, Xingkong Ma:
Exploring a High-quality Outlying Feature Value Set for Noise-Resilient Outlier Detection in Categorical Data. CIKM 2018: 17-26 - [c2]Hongzuo Xu, Yongjun Wang, Zhiyue Wu, Xingkong Ma, Zhiquan Qin:
Combine Value Clustering and Weighted Value Coupling Learning for Outlier Detection in Categorical Data. DEXA (2) 2018: 439-449 - 2017
- [c1]Guansong Pang, Hongzuo Xu, Longbing Cao, Wentao Zhao:
Selective Value Coupling Learning for Detecting Outliers in High-Dimensional Categorical Data. CIKM 2017: 807-816
Coauthor Index
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last updated on 2024-10-23 21:21 CEST by the dblp team
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