Hongzuo Xu - RankMe

44 papers A* 5A 3B 6Misc 4Journal 19Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Angel or devil: Discriminating hard samples and anomaly contaminations for unsupervised time series anomaly detection. Neural Networks Ruyi Zhang, Hongzuo Xu, Songlei Jian, Yusong Tan, Haifang Zhou, Rulin Xu
2026	J	`jnl`	IMPACT: Influence Modeling for Open-Set Time Series Anomaly Detection. CoRR Xiaohui Zhou, Yijie Wang, Hongzuo Xu, Weixuan Liang, Xiaoli Li, Guansong Pang
2026	J	`jnl`	Modeling heterogeneous normality in time series anomaly detection. Inf. Process. Manag. Xiaohui Zhou, Yijie Wang, Hongzuo Xu, Yizhou Li
2025	J	`jnl`	Correction: Deep anomaly detection with partition contrastive learning for tabular data. Data Min. Knowl. Discov. Yizhou Li, Yijie Wang, Hongzuo Xu, Bin Li, Xiaohui Zhou
2025	Misc	`conf`	Deep Time Series Anomaly Detection with Local Temporal Pattern Learning. ICASSP Yizhou Li, Yijie Wang, Hongzuo Xu, Xiaohui Zhou
2025	J	`jnl`	Deep anomaly detection with partition contrastive learning for tabular data. Data Min. Knowl. Discov. Yizhou Li, Yijie Wang, Hongzuo Xu, Bin Li, Xiaohui Zhou
2025	Misc	`conf`	Frequency-enhanced Comprehensive Dependency Attention for Time Series Anomaly Detection. ICASSP Haonan Chen, Hongzuo Xu, Songlei Jian, Ruyi Zhang, Xingming Li, Zibo Yi
2024	J	`jnl`	Abnormality Forecasting: Time Series Anomaly Prediction via Future Context Modeling. CoRR Sinong Zhao, Wenrui Wang, Hongzuo Xu, Zhaoyang Yu, Qingsong Wen, Gang Wang, Xiaoguang Liu, Guansong Pang
2024	J	`jnl`	Angel or Devil: Discriminating Hard Samples and Anomaly Contaminations for Unsupervised Time Series Anomaly Detection. CoRR Ruyi Zhang, Hongzuo Xu, Songlei Jian, Yusong Tan, Haifang Zhou, Rulin Xu
2024	Misc	`conf`	Boundary-Driven Active Learning for Anomaly Detection in Time Series Data Streams. ICASSP Xiaohui Zhou, Yijie Wang, Hongzuo Xu, Mingyu Liu
2024	J	`jnl`	Calibrated One-Class Classification for Unsupervised Time Series Anomaly Detection. IEEE Trans. Knowl. Data Eng. Hongzuo Xu, Yijie Wang, Songlei Jian, Qing Liao, Yongjun Wang, Guansong Pang
2024	A*	`conf`	Hierarchical Adaptive Pooling by Capturing High-order Dependency for Graph Representation Learning (Extended Abstract). ICDE Ning Liu, Songlei Jian, Dongsheng Li, Yiming Zhang, Zhiquan Lai, Hongzuo Xu
2024	J	`jnl`	Self-Supervised Spatial-Temporal Normality Learning for Time Series Anomaly Detection. CoRR Yutong Chen, Hongzuo Xu, Guansong Pang, Hezhe Qiao, Yuan Zhou, Mingsheng Shang
2024	—	`conf`	Self-supervised Spatial-Temporal Normality Learning for Time Series Anomaly Detection. ECML/PKDD (6) Yutong Chen, Hongzuo Xu, Guansong Pang, Hezhe Qiao, Yuan Zhou, Mingsheng Shang
2023	J	`jnl`	Deep Isolation Forest for Anomaly Detection. IEEE Trans. Knowl. Data Eng. Hongzuo Xu, Guansong Pang, Yijie Wang, Yongjun Wang
2023	—	`conf`	Deep Reinforced Active Learning for Time Series Anomaly Detection. ICIC (4) Haojie Li, Hongzuo Xu, Wei Peng
2023	A*	`conf`	Fascinating Supervisory Signals and Where to Find Them: Deep Anomaly Detection with Scale Learning. ICML Hongzuo Xu, Yijie Wang, Juhui Wei, Songlei Jian, Yizhou Li, Ning Liu
2023	J	`jnl`	Fascinating Supervisory Signals and Where to Find Them: Deep Anomaly Detection with Scale Learning. CoRR Hongzuo Xu, Yijie Wang, Juhui Wei, Songlei Jian, Yizhou Li, Ning Liu
2023	J	`jnl`	Hierarchical Adaptive Pooling by Capturing High-Order Dependency for Graph Representation Learning. IEEE Trans. Knowl. Data Eng. Ning Liu, Songlei Jian, Dongsheng Li, Yiming Zhang, Zhiquan Lai, Hongzuo Xu
2023	B	`conf`	Local-Adaptive Transformer for Multivariate Time Series Anomaly Detection and Diagnosis. SMC Xiaohui Zhou, Yijie Wang, Hongzuo Xu, Mingyu Liu, Ruyi Zhang
2023	B	`conf`	Multi-Scale Sampling Based MLP Networks for Anomaly Detection in Multivariate Time Series. ICPADS Haojie Li, Hongzuo Xu, Wei Peng, Chiran Shen, Xianwen Qiu
2023	J	`jnl`	RoSAS: Deep Semi-Supervised Anomaly Detection with Contamination-Resilient Continuous Supervision. CoRR Hongzuo Xu, Yijie Wang, Guansong Pang, Songlei Jian, Ning Liu, Yongjun Wang
2023	J	`jnl`	RoSAS: Deep semi-supervised anomaly detection with contamination-resilient continuous supervision. Inf. Process. Manag. Hongzuo Xu, Yijie Wang, Guansong Pang, Songlei Jian, Ning Liu, Yongjun Wang
2023	Misc	`conf`	Smoothing Point Adjustment-Based Evaluation of Time Series Anomaly Detection. ICASSP Mingyu Liu, Yijie Wang, Hongzuo Xu, Xiaohui Zhou, Bin Li, Yongjun Wang
2022	J	`jnl`	Calibrated One-class Classification for Unsupervised Time Series Anomaly Detection. CoRR Hongzuo Xu, Yijie Wang, Songlei Jian, Qing Liao, Yongjun Wang, Guansong Pang
2022	B	`conf`	DPSS: Dynamic Parameter Selection for Outlier Detection on Data Streams. ICPADS Ruyi Zhang, Yijie Wang, Haifang Zhou, Bin Li, Hongzuo Xu
2022	J	`jnl`	Deep Isolation Forest for Anomaly Detection. CoRR Hongzuo Xu, Guansong Pang, Yijie Wang, Yongjun Wang
2022	B	`conf`	Factorization Machine-based Unsupervised Model Selection Method SMC Ruyi Zhang, Yijie Wang, Hongzuo Xu, Haifang Zhou
2022	A	`conf`	Unsupervised Hierarchical Graph Pooling via Substructure-Sensitive Mutual Information Maximization. CIKM Ning Liu, Songlei Jian, Dongsheng Li, Hongzuo Xu
2021	A*	`conf`	Beyond Outlier Detection: Outlier Interpretation by Attention-Guided Triplet Deviation Network. WWW Hongzuo Xu, Yijie Wang, Songlei Jian, Zhenyu Huang, Yongjun Wang, Ning Liu, Fei Li
2021	J	`jnl`	DRAM Failure Prediction in AIOps: EmpiricalEvaluation, Challenges and Opportunities. CoRR Zhiyue Wu, Hongzuo Xu, Guansong Pang, Fengyuan Yu, Yijie Wang, Songlei Jian, Yongjun Wang
2021	B	`conf`	Effective Anomaly Detection Based on Reinforcement Learning in Network Traffic Data. ICPADS Zhongyang Wang, Yijie Wang, Hongzuo Xu, Yongjun Wang
2021	J	`jnl`	Few-shot website fingerprinting attack. Comput. Networks Mantun Chen, Yongjun Wang, Hongzuo Xu, Xiatian Zhu
2021	J	`jnl`	Hierarchical Adaptive Pooling by Capturing High-order Dependency for Graph Representation Learning. CoRR Ning Liu, Songlei Jian, Dongsheng Li, Yiming Zhang, Zhiquan Lai, Hongzuo Xu
2021	B	`conf`	Integrating Argument-Level Attention with Multi-Level Scores to Predict What Happen Next. IJCNN Zhenyu Huang, Yongjun Wang, Hongzuo Xu, Songlei Jian
2021	—	`conf`	OADA: An Online Data Augmentation Method for Raw Histopathology Images. ICONIP (6) Zhiyue Wu, Yijie Wang, Haibo Mi, Hongzuo Xu, Wei Zhang, Lanlan Feng
2021	—	`conf`	Script event prediction based on pre-trained model with tail event enhancement. CSAI Zhenyu Huang, Yongjun Wang, Hongzuo Xu, Songlei Jian, Zhongyang Wang
2021	—	`conf`	Surrogate Supervision-based Deep Weakly-supervised Anomaly Detection. ICDM (Workshops) Zhiyue Wu, Hongzuo Xu, Yijie Wang, Yongjun Wang
2020	—	`conf`	Tree2tree Structural Language Modeling for Compiler Fuzzing. ICA3PP (1) Haoran Xu, Shuhui Fan, Yongjun Wang, Zhijian Huang, Hongzuo Xu, Peidai Xie
2019	A*	`conf`	Embedding-Based Complex Feature Value Coupling Learning for Detecting Outliers in Non-IID Categorical Data. AAAI Hongzuo Xu, Yongjun Wang, Zhiyue Wu, Yijie Wang
2019	A*	`conf`	MIX: A Joint Learning Framework for Detecting Both Clustered and Scattered Outliers in Mixed-Type Data. ICDM Hongzuo Xu, Yijie Wang, Yongjun Wang, Zhiyue Wu
2018	—	`conf`	Combine Value Clustering and Weighted Value Coupling Learning for Outlier Detection in Categorical Data. DEXA (2) Hongzuo Xu, Yongjun Wang, Zhiyue Wu, Xingkong Ma, Zhiquan Qin
2018	A	`conf`	Exploring a High-quality Outlying Feature Value Set for Noise-Resilient Outlier Detection in Categorical Data. CIKM Hongzuo Xu, Yongjun Wang, Li Cheng, Yijie Wang, Xingkong Ma
2017	A	`conf`	Selective Value Coupling Learning for Detecting Outliers in High-Dimensional Categorical Data. CIKM Guansong Pang, Hongzuo Xu, Longbing Cao, Wentao Zhao