Selective Value Coupling Learning for Detecting Outliers in High-Dimensional Categorical Data. - Guansong Pang; Hongzuo Xu; Longbing Cao; Wentao Zhao (CIKM, 2017)

Exploring a High-quality Outlying Feature Value Set for Noise-Resilient Outlier Detection in Categorical Data. - Hongzuo Xu; Yongjun Wang; Li Cheng 001; Yijie Wang 001; Xingkong Ma (CIKM, 2018)

Combine Value Clustering and Weighted Value Coupling Learning for Outlier Detection in Categorical Data. - Hongzuo Xu; Yongjun Wang; Zhiyue Wu; Xingkong Ma; Zhiquan Qin (DEXA (2), 2018)

Embedding-Based Complex Feature Value Coupling Learning for Detecting Outliers in Non-IID Categorical Data. - Hongzuo Xu; Yongjun Wang; Zhiyue Wu; Yijie Wang 001 (AAAI, 2019)

MIX: A Joint Learning Framework for Detecting Both Clustered and Scattered Outliers in Mixed-Type Data. - Hongzuo Xu; Yijie Wang 001; Yongjun Wang; Zhiyue Wu (ICDM, 2019)

Tree2tree Structural Language Modeling for Compiler Fuzzing. - Haoran Xu; Shuhui Fan; Yongjun Wang; Zhijian Huang; Hongzuo Xu; Peidai Xie (ICA3PP (1), 2020)

Script event prediction based on pre-trained model with tail event enhancement. - Zhenyu Huang; Yongjun Wang; Hongzuo Xu; Songlei Jian; Zhongyang Wang (CSAI, 2021)

OADA: An Online Data Augmentation Method for Raw Histopathology Images. - Zhiyue Wu; Yijie Wang 001; Haibo Mi; Hongzuo Xu; Wei Zhang; Lanlan Feng (ICONIP (6), 2021)

Effective Anomaly Detection Based on Reinforcement Learning in Network Traffic Data. - Zhongyang Wang; Yijie Wang 001; Hongzuo Xu; Yongjun Wang (ICPADS, 2021)

Integrating Argument-Level Attention with Multi-Level Scores to Predict What Happen Next. - Zhenyu Huang; Yongjun Wang; Hongzuo Xu; Songlei Jian (IJCNN, 2021)

Surrogate Supervision-based Deep Weakly-supervised Anomaly Detection. - Zhiyue Wu; Hongzuo Xu; Yijie Wang 001; Yongjun Wang (ICDM (Workshops), 2021)

Beyond Outlier Detection: Outlier Interpretation by Attention-Guided Triplet Deviation Network. - Hongzuo Xu; Yijie Wang 001; Songlei Jian; Zhenyu Huang; Yongjun Wang; Ning Liu 015; Fei Li (WWW, 2021)

Few-shot website fingerprinting attack. - Mantun Chen; Yongjun Wang; Hongzuo Xu; Xiatian Zhu (Comput. Networks, 2021)

DRAM Failure Prediction in AIOps: EmpiricalEvaluation, Challenges and Opportunities. - Zhiyue Wu; Hongzuo Xu; Guansong Pang; Fengyuan Yu; Yijie Wang 001; Songlei Jian; Yongjun Wang (CoRR, 2021)

Unsupervised Hierarchical Graph Pooling via Substructure-Sensitive Mutual Information Maximization. - Ning Liu 015; Songlei Jian; Dongsheng Li 001; Hongzuo Xu (CIKM, 2022)

DPSS: Dynamic Parameter Selection for Outlier Detection on Data Streams. - Ruyi Zhang 002; Yijie Wang 001; Haifang Zhou; Bin Li 030; Hongzuo Xu (ICPADS, 2022)

Factorization Machine-based Unsupervised Model Selection Method*. - Ruyi Zhang 002; Yijie Wang 001; Hongzuo Xu; Haifang Zhou (SMC, 2022)

Smoothing Point Adjustment-Based Evaluation of Time Series Anomaly Detection. - Mingyu Liu; Yijie Wang 001; Hongzuo Xu; Xiaohui Zhou; Bin Li 030; Yongjun Wang (ICASSP, 2023)

Deep Reinforced Active Learning for Time Series Anomaly Detection. - Haojie Li; Hongzuo Xu; Wei Peng 005 (ICIC (4), 2023)

Fascinating Supervisory Signals and Where to Find Them: Deep Anomaly Detection with Scale Learning. - Hongzuo Xu; Yijie Wang 001; Juhui Wei; Songlei Jian; Yizhou Li; Ning Liu 015 (ICML, 2023)

Multi-Scale Sampling Based MLP Networks for Anomaly Detection in Multivariate Time Series. - Haojie Li; Hongzuo Xu; Wei Peng 005; Chiran Shen; Xianwen Qiu (ICPADS, 2023)

Local-Adaptive Transformer for Multivariate Time Series Anomaly Detection and Diagnosis. - Xiaohui Zhou; Yijie Wang 001; Hongzuo Xu; Mingyu Liu; Ruyi Zhang 002 (SMC, 2023)

Hierarchical Adaptive Pooling by Capturing High-Order Dependency for Graph Representation Learning. - Ning Liu 015; Songlei Jian; Dongsheng Li 001; Yiming Zhang 003; Zhiquan Lai; Hongzuo Xu (IEEE Trans. Knowl. Data Eng., 2023)

RoSAS: Deep semi-supervised anomaly detection with contamination-resilient continuous supervision. - Hongzuo Xu; Yijie Wang 001; Guansong Pang; Songlei Jian; Ning Liu 015; Yongjun Wang (Inf. Process. Manag., 2023)

Deep Isolation Forest for Anomaly Detection. - Hongzuo Xu; Guansong Pang; Yijie Wang 001; Yongjun Wang (IEEE Trans. Knowl. Data Eng., 2023)

Boundary-Driven Active Learning for Anomaly Detection in Time Series Data Streams. - Xiaohui Zhou; Yijie Wang 001; Hongzuo Xu; Mingyu Liu (ICASSP, 2024)

Hierarchical Adaptive Pooling by Capturing High-order Dependency for Graph Representation Learning (Extended Abstract). - Ning Liu 015; Songlei Jian; Dongsheng Li 001; Yiming Zhang 003; Zhiquan Lai; Hongzuo Xu (ICDE, 2024)

Self-supervised Spatial-Temporal Normality Learning for Time Series Anomaly Detection. - Yutong Chen; Hongzuo Xu; Guansong Pang; Hezhe Qiao; Yuan Zhou; Mingsheng Shang 001 (ECML/PKDD (6), 2024)

Abnormality Forecasting: Time Series Anomaly Prediction via Future Context Modeling. - Sinong Zhao; Wenrui Wang; Hongzuo Xu; Zhaoyang Yu; Qingsong Wen; Gang Wang 001; Xiaoguang Liu 001; Guansong Pang (CoRR, 2024)

Angel or Devil: Discriminating Hard Samples and Anomaly Contaminations for Unsupervised Time Series Anomaly Detection. - Ruyi Zhang 002; Hongzuo Xu; Songlei Jian; Yusong Tan; Haifang Zhou; Rulin Xu (CoRR, 2024)

Calibrated One-Class Classification for Unsupervised Time Series Anomaly Detection. - Hongzuo Xu; Yijie Wang 001; Songlei Jian; Qing Liao 001; Yongjun Wang; Guansong Pang (IEEE Trans. Knowl. Data Eng., 2024)

Frequency-enhanced Comprehensive Dependency Attention for Time Series Anomaly Detection. - Haonan Chen; Hongzuo Xu; Songlei Jian; Ruyi Zhang 002; Xingming Li; Zibo Yi (ICASSP, 2025)

Deep Time Series Anomaly Detection with Local Temporal Pattern Learning. - Yizhou Li; Yijie Wang; Hongzuo Xu; Xiaohui Zhou (ICASSP, 2025)

Deep anomaly detection with partition contrastive learning for tabular data. - Yizhou Li; Yijie Wang; Hongzuo Xu; Bin Li; Xiaohui Zhou (Data Min. Knowl. Discov., 2025)

Correction: Deep anomaly detection with partition contrastive learning for tabular data. - Yizhou Li; Yijie Wang 001; Hongzuo Xu; Bin Li 030; Xiaohui Zhou (Data Min. Knowl. Discov., 2025)