Hongzuo Xu

According to our database, Hongzuo Xu authored at least 31 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Calibrated One-Class Classification for Unsupervised Time Series Anomaly Detection.

Hongzuo Xu, Yijie Wang, Songlei Jian, Qing Liao, Yongjun Wang, Guansong Pang

IEEE Trans. Knowl. Data Eng., November, 2024

Angel or Devil: Discriminating Hard Samples and Anomaly Contaminations for Unsupervised Time Series Anomaly Detection.

Ruyi Zhang, Hongzuo Xu, Songlei Jian, Yusong Tan, Haifang Zhou, Rulin Xu

CoRR, 2024

Abnormality Forecasting: Time Series Anomaly Prediction via Future Context Modeling.

Sinong Zhao, Wenrui Wang, Hongzuo Xu, Zhaoyang Yu, Qingsong Wen, Gang Wang, Xiaoguang Liu, Guansong Pang

CoRR, 2024

Self-supervised Spatial-Temporal Normality Learning for Time Series Anomaly Detection.

Yutong Chen, Hongzuo Xu, Guansong Pang, Hezhe Qiao, Yuan Zhou, Mingsheng Shang

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Hierarchical Adaptive Pooling by Capturing High-order Dependency for Graph Representation Learning (Extended Abstract).

Ning Liu, Songlei Jian, Dongsheng Li, Yiming Zhang, Zhiquan Lai, Hongzuo Xu

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Boundary-Driven Active Learning for Anomaly Detection in Time Series Data Streams.

Xiaohui Zhou, Yijie Wang, Hongzuo Xu, Mingyu Liu

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Deep Isolation Forest for Anomaly Detection.

Hongzuo Xu, Guansong Pang, Yijie Wang, Yongjun Wang

IEEE Trans. Knowl. Data Eng., December, 2023

RoSAS: Deep semi-supervised anomaly detection with contamination-resilient continuous supervision.

Hongzuo Xu, Yijie Wang, Guansong Pang, Songlei Jian, Ning Liu, Yongjun Wang

Inf. Process. Manag., September, 2023

Hierarchical Adaptive Pooling by Capturing High-Order Dependency for Graph Representation Learning.

Ning Liu, Songlei Jian, Dongsheng Li, Yiming Zhang, Zhiquan Lai, Hongzuo Xu

IEEE Trans. Knowl. Data Eng., April, 2023

Local-Adaptive Transformer for Multivariate Time Series Anomaly Detection and Diagnosis.

Xiaohui Zhou, Yijie Wang, Hongzuo Xu, Mingyu Liu, Ruyi Zhang

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Multi-Scale Sampling Based MLP Networks for Anomaly Detection in Multivariate Time Series.

Haojie Li, Hongzuo Xu, Wei Peng, Chiran Shen, Xianwen Qiu

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Fascinating Supervisory Signals and Where to Find Them: Deep Anomaly Detection with Scale Learning.

Hongzuo Xu, Yijie Wang, Juhui Wei, Songlei Jian, Yizhou Li, Ning Liu

Proceedings of the International Conference on Machine Learning, 2023

Deep Reinforced Active Learning for Time Series Anomaly Detection.

Haojie Li, Hongzuo Xu, Wei Peng

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

Smoothing Point Adjustment-Based Evaluation of Time Series Anomaly Detection.

Mingyu Liu, Yijie Wang, Hongzuo Xu, Xiaohui Zhou, Bin Li, Yongjun Wang

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Factorization Machine-based Unsupervised Model Selection Method^*.

Ruyi Zhang, Yijie Wang, Hongzuo Xu, Haifang Zhou

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

DPSS: Dynamic Parameter Selection for Outlier Detection on Data Streams.

Ruyi Zhang, Yijie Wang, Haifang Zhou, Bin Li, Hongzuo Xu

Proceedings of the 28th IEEE International Conference on Parallel and Distributed Systems, 2022

Unsupervised Hierarchical Graph Pooling via Substructure-Sensitive Mutual Information Maximization.

Ning Liu, Songlei Jian, Dongsheng Li, Hongzuo Xu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

DRAM Failure Prediction in AIOps: EmpiricalEvaluation, Challenges and Opportunities.

Zhiyue Wu, Hongzuo Xu, Guansong Pang, Fengyuan Yu, Yijie Wang, Songlei Jian, Yongjun Wang

CoRR, 2021

Few-shot website fingerprinting attack.

Mantun Chen, Yongjun Wang, Hongzuo Xu, Xiatian Zhu

Comput. Networks, 2021

Beyond Outlier Detection: Outlier Interpretation by Attention-Guided Triplet Deviation Network.

Hongzuo Xu, Yijie Wang, Songlei Jian, Zhenyu Huang, Yongjun Wang, Ning Liu, Fei Li

Proceedings of the WWW '21: The Web Conference 2021, 2021

Surrogate Supervision-based Deep Weakly-supervised Anomaly Detection.

Zhiyue Wu, Hongzuo Xu, Yijie Wang, Yongjun Wang

Proceedings of the 2021 International Conference on Data Mining, 2021

Integrating Argument-Level Attention with Multi-Level Scores to Predict What Happen Next.

Zhenyu Huang, Yongjun Wang, Hongzuo Xu, Songlei Jian

Proceedings of the International Joint Conference on Neural Networks, 2021

Effective Anomaly Detection Based on Reinforcement Learning in Network Traffic Data.

Zhongyang Wang, Yijie Wang, Hongzuo Xu, Yongjun Wang

Proceedings of the 27th IEEE International Conference on Parallel and Distributed Systems, 2021

OADA: An Online Data Augmentation Method for Raw Histopathology Images.

Zhiyue Wu, Yijie Wang, Haibo Mi, Hongzuo Xu, Wei Zhang, Lanlan Feng

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Script event prediction based on pre-trained model with tail event enhancement.

Zhenyu Huang, Yongjun Wang, Hongzuo Xu, Songlei Jian, Zhongyang Wang

Proceedings of the CSAI 2021: 5th International Conference on Computer Science and Artificial Intelligence, Beijing, China, December 4, 2021

2020

Tree2tree Structural Language Modeling for Compiler Fuzzing.

Haoran Xu, Shuhui Fan, Yongjun Wang, Zhijian Huang, Hongzuo Xu, Peidai Xie

Proceedings of the Algorithms and Architectures for Parallel Processing, 2020

2019

MIX: A Joint Learning Framework for Detecting Both Clustered and Scattered Outliers in Mixed-Type Data.

Hongzuo Xu, Yijie Wang, Yongjun Wang, Zhiyue Wu

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Embedding-Based Complex Feature Value Coupling Learning for Detecting Outliers in Non-IID Categorical Data.

Hongzuo Xu, Yongjun Wang, Zhiyue Wu, Yijie Wang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

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

Proceedings of the Database and Expert Systems Applications, 2018

Exploring a High-quality Outlying Feature Value Set for Noise-Resilient Outlier Detection in Categorical Data.

Hongzuo Xu, Yongjun Wang, Li Cheng, Yijie Wang, Xingkong Ma

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Selective Value Coupling Learning for Detecting Outliers in High-Dimensional Categorical Data.

Guansong Pang, Hongzuo Xu, Longbing Cao, Wentao Zhao

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017