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 imbalanced contrastive classification method via similarity comparison within sample-neighbors with adaptive generation coefficient. - Zhihang Meng; Xin Gao; Feng Zhai; Baofeng Li; Chun Xiao; Qiangwei Li; Bing Xue; Jiansheng Lu (Inf. Sci., 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 non-uniform low-light image enhancement method with multi-scale attention transformer and luminance consistency loss. - Xiao Fang; Xin Gao; Baofeng Li; Feng Zhai; Yu Qin; Zhihang Meng; Jiansheng Lu; Chun Xiao (Vis. Comput., 2025)