Hongzuo Xu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 33

Top Topics

Active Learning

Categorical Data

Graph Representation

Detecting Outliers

Top Venues

IEEE Trans. Knowl. Data Eng.

Publications

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)
Yutong Chen, Hongzuo Xu, Guansong Pang, Hezhe Qiao, Yuan Zhou, Mingsheng Shang
Self-Supervised Spatial-Temporal Normality Learning for Time Series Anomaly Detection. CoRR (2024)
Xiaohui Zhou, Yijie Wang, Hongzuo Xu, Mingyu Liu
Boundary-Driven Active Learning for Anomaly Detection in Time Series Data Streams. ICASSP (2024)
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)
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 (2023)
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)
Xiaohui Zhou, Yijie Wang, Hongzuo Xu, Mingyu Liu, Ruyi Zhang
Local-Adaptive Transformer for Multivariate Time Series Anomaly Detection and Diagnosis. SMC (2023)
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) (2023)
Hongzuo Xu, Yijie Wang, Guansong Pang, Songlei Jian, Ning Liu, Yongjun Wang
RoSAS: Deep Semi-Supervised Anomaly Detection with Contamination-Resilient Continuous Supervision. CoRR (2023)
Hongzuo Xu, Guansong Pang, Yijie Wang, Yongjun Wang
Deep Isolation Forest for Anomaly Detection. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Haojie Li, Hongzuo Xu, Wei Peng
Deep Reinforced Active Learning for Time Series Anomaly Detection. ICIC (4) (2023)
Mingyu Liu, Yijie Wang, Hongzuo Xu, Xiaohui Zhou, Bin Li, Yongjun Wang
Smoothing Point Adjustment-Based Evaluation of Time Series Anomaly Detection. ICASSP (2023)
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) (2023)
Ning Liu, Songlei Jian, Dongsheng Li, Hongzuo Xu
Unsupervised Hierarchical Graph Pooling via Substructure-Sensitive Mutual Information Maximization. CIKM (2022)
Ruyi Zhang, Yijie Wang, Haifang Zhou, Bin Li, Hongzuo Xu
DPSS: Dynamic Parameter Selection for Outlier Detection on Data Streams. ICPADS (2022)
Ruyi Zhang, Yijie Wang, Hongzuo Xu, Haifang Zhou
. SMC (2022)
Hongzuo Xu, Guansong Pang, Yijie Wang, Yongjun Wang
Deep Isolation Forest for Anomaly Detection. CoRR (2022)
Hongzuo Xu, Yijie Wang, Songlei Jian, Qing Liao, Yongjun Wang, Guansong Pang
Calibrated One-class Classification for Unsupervised Time Series Anomaly Detection. CoRR (2022)
Mantun Chen, Yongjun Wang, Hongzuo Xu, Xiatian Zhu
Few-shot website fingerprinting attack. Comput. Networks 198 (2021)
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)
Zhiyue Wu, Hongzuo Xu, Yijie Wang, Yongjun Wang
Surrogate Supervision-based Deep Weakly-supervised Anomaly Detection. ICDM (Workshops) (2021)
Zhongyang Wang, Yijie Wang, Hongzuo Xu, Yongjun Wang
Effective Anomaly Detection Based on Reinforcement Learning in Network Traffic Data. ICPADS (2021)
Zhiyue Wu, Hongzuo Xu, Guansong Pang, Fengyuan Yu, Yijie Wang, Songlei Jian, Yongjun Wang
DRAM Failure Prediction in AIOps: EmpiricalEvaluation, Challenges and Opportunities. CoRR (2021)
Zhenyu Huang, Yongjun Wang, Hongzuo Xu, Songlei Jian, Zhongyang Wang
Script event prediction based on pre-trained model with tail event enhancement. CSAI (2021)
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)
Zhenyu Huang, Yongjun Wang, Hongzuo Xu, Songlei Jian
Integrating Argument-Level Attention with Multi-Level Scores to Predict What Happen Next. IJCNN (2021)
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 (2021)
Haoran Xu, Shuhui Fan, Yongjun Wang, Zhijian Huang, Hongzuo Xu, Peidai Xie
Tree2tree Structural Language Modeling for Compiler Fuzzing. ICA3PP (1) (2020)
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)
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)
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)
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)
Guansong Pang, Hongzuo Xu, Longbing Cao, Wentao Zhao
Selective Value Coupling Learning for Detecting Outliers in High-Dimensional Categorical Data. CIKM (2017)