A dual-reconstruction self-rectification framework with momentum memory-augmented network for multivariate time series anomaly detection. - Bing Xue; Xin Gao; Heping Lu; Baofeng Li; Feng Zhai; Meng Xu; Taizhi Wang; Jiawen Lu (Appl. Soft Comput., 2025)

A feature matching-based method for few-shot multivariate time series anomaly detection with symmetric patch mask Siam Transformer. - Jiahao Yu; Xin Gao; Taizhi Wang; Heping Lu; Baofeng Li; Feng Zhai; Bing Xue; Zhihang Meng (Eng. Appl. Artif. Intell., 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 Generalized Few-Shot Object Detection Method via Extraction of Base-Novel Commonality With Memory Distillation of Category Prototypes. - Junchi Su; Xin Gao; Heping Lu; Baofeng Li; Feng Zhai; Xiao Fang; Taizhi Wang; Qiangwei Li (IEEE Trans. Circuits Syst. Video Technol., 2025)