Correlation-based feature partition regression method for unsupervised anomaly detection. - Zhiyu Liu; Xin Gao; Xin Jia; Bing Xue; Shiyuan Fu; Kangsheng Li; Xu Huang; Zijian Huang 001 (Appl. Intell., 2022)

Detection of local and clustered outliers based on the density-distance decision graph. - Kangsheng Li; Xin Gao; Xin Jia; Bing Xue; Shiyuan Fu; Zhiyu Liu; Xu Huang; Zijian Huang 001 (Eng. Appl. Artif. Intell., 2022)

Robust outlier detection based on the changing rate of directed density ratio. - Kangsheng Li; Xin Gao; Shiyuan Fu; Xinping Diao; Ping Ye; Bing Xue; Jiahao Yu; Zijian Huang 001 (Expert Syst. Appl., 2022)

An ensemble contrastive classification framework for imbalanced learning with sample-neighbors pair construction. - Xin Gao; Xin Jia; Jing Liu; Bing Xue; Zijian Huang 001; Shiyuan Fu; Guangyao Zhang; Kangsheng Li (Knowl. Based Syst., 2022)

An ensemble-based outlier detection method for clustered and local outliers with differential potential spread loss. - Xin Gao; Jiahao Yu; Sen Zha; Shiyuan Fu; Bing Xue; Ping Ye; Zijian Huang 001; Guangyao Zhang (Knowl. Based Syst., 2022)

Improved Load Balancing Algorithm for a Novel Distributed Computing Framework Based on MultiObjective Optimization Algorithm. - Chao Li; Shiyuan Fu; Yiwen Jiao; Hongbin Ma; Wei Zhang 054; Chao Yun (ICCEIC, 2023)

An imbalanced binary classification method via space mapping using normalizing flows with class discrepancy constraints. - Zijian Huang 001; Xin Gao; Wenli Chen; Yingying Cheng; Bing Xue; Zhihang Meng; Guangyao Zhang; Shiyuan Fu (Inf. Sci., 2023)

Probabilistic autoencoder with multi-scale feature extraction for multivariate time series anomaly detection. - Guangyao Zhang; Xin Gao; Lei Wang; Bing Xue; Shiyuan Fu; Jiahao Yu; Zijian Huang 001; Xu Huang (Appl. Intell., 2023)

Two Outlier-Sensitive Measures for Semi-supervised Dynamic Ensemble Anomaly Detection Models. - Shiyuan Fu; Xin Gao; Baofeng Li; Bing Xue; Xin Jia; Zijian Huang 001; Guangyao Zhang; Xu Huang (Neural Process. Lett., 2023)

Global reliable data generation for imbalanced binary classification with latent codes reconstruction and feature repulsion. - Xin Jia; Xin Gao; Wenli Chen; Yingying Cheng; Zhihang Meng; Bing Xue; Zijian Huang 001; Shiyuan Fu (Appl. Intell., 2023)

A contrastive autoencoder with multi-resolution segment-consistency discrimination for multivariate time series anomaly detection. - Bing Xue; Xin Gao; Feng Zhai; Baofeng Li; Jiahao Yu; Shiyuan Fu; Lingli Chen; Zhihang Meng (Appl. Intell., 2023)

Multivariate time series anomaly detection via separation, decomposition, and dual transformer-based autoencoder. - Shiyuan Fu; Xin Gao; Baofeng Li; Feng Zhai; Jiansheng Lu; Bing Xue; Jiahao Yu; Chun Xiao (Appl. Soft Comput., 2024)

An adversarial contrastive autoencoder for robust multivariate time series anomaly detection. - Jiahao Yu; Xin Gao; Feng Zhai; Baofeng Li; Bing Xue; Shiyuan Fu; Lingli Chen; Zhihang Meng (Expert Syst. Appl., 2024)

A feature-level mask self-supervised assisted learning approach based on transformer for remaining useful life prediction. - Bing Xue; Xin Gao; Shuwei Zhang; Ning Wang; Shiyuan Fu; Jiahao Yu; Guangyao Zhang; Zijian Huang 001 (Intell. Data Anal., 2024)

A robust multi-scale feature extraction framework with dual memory module for multivariate time series anomaly detection. - Bing Xue; Xin Gao; Baofeng Li; Feng Zhai; Jiansheng Lu; Jiahao Yu; Shiyuan Fu; Chun Xiao (Neural Networks, 2024)

A filter-augmented auto-encoder with learnable normalization for robust multivariate time series anomaly detection. - Jiahao Yu; Xin Gao; Baofeng Li; Feng Zhai; Jiansheng Lu; Bing Xue; Shiyuan Fu; Chun Xiao (Neural Networks, 2024)

A time series anomaly detection method based on series-parallel transformers with spatial and temporal association discrepancies. - Shiyuan Fu; Xin Gao; Feng Zhai; Baofeng Li; Bing Xue; Jiahao Yu; Zhihang Meng; Guangyao Zhang (Inf. Sci., 2024)