An imbalanced binary classification method based on contrastive learning using multi-label confidence comparisons within sample-neighbors pair. - Xin Gao; Zhihang Meng; Xin Jia; Jing Liu; Xinping Diao; Bing Xue; Zijian Huang 001; Kangsheng Li (Neurocomputing, 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)

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)

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)

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 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)

An adversarial transfer imbalanced classification framework via cross-category commonality information extraction and joint discrimination. - Zhihang Meng; Xin Gao; Huang Tan; Haibo Yu; Xinping Diao; Tianyang Chen; Qiangwei Li; Yu Hao (Expert Syst. Appl., 2025)

A multimodal data generation method for imbalanced classification with dual-discriminator constrained diffusion model and adaptive sample selection strategy. - Qiangwei Li; Xin Gao; Heping Lu; Baofeng Li; Feng Zhai; Taizhi Wang; Zhihang Meng; Yu Hao (Inf. Fusion, 2025)

A multivariate time series anomaly detection method with Multi-Grain Dynamic Receptive Field. - Lingli Chen; Xin Gao; Jing Liu; Yunkai Zhang; Xinping Diao; Taizhi Wang; Jiawen Lu; Zhihang Meng (Knowl. Based Syst., 2025)

A meta-learning imbalanced classification framework via boundary enhancement strategy with Bayes imbalance impact index. - Qiangwei Li; Xin Gao; Heping Lu; Baofeng Li; Feng Zhai; Taizhi Wang; Zhihang Meng; Yu Hao (Neural Networks, 2025)

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)