Multivariate time series anomaly detection with heterogeneous-aware channel independence and global-local channel dependence. - Lingli Chen; Xin Gao 023; Haibo Yu; Yuan Li 073; Xinping Diao; Yukun Lin; Taizhi Wang; Le He (Knowl. Based Syst., 2025)

A generalized few-shot object detection method with multi-task dynamic routing and retrieval strategy of visual-semantic memory prototype. - Junchi Su; Xin Gao 023; Xinping Diao; Yuan Li 073; Tianyang Chen; Yukun Lin (Expert Syst. Appl., 2026)

A dual-path fusion network with reconstruction and discrimination for zero-shot multivariate time series anomaly detection. - Taizhi Wang; Xin Gao 023; Xinping Diao; Yuan Li 073; Haibo Yu; Yukun Lin; Huiting Xu; Yinglan Liu (Neurocomputing, 2026)

An Adversarial Filtering Framework With Time-Frequency Cross-Domain Consistency for Multivariate Time-Series Anomaly Detection. - Bing Xue; Xin Gao 023; Xinping Diao; Yuan Li 073; Tianyang Chen; Yukun Lin; Hong Chen; Yinglan Liu (IEEE Internet Things J., 2026)

Uncertainty-aware memory-enhanced cross-window dependency learning for robust multivariate time series anomaly detection. - Bing Xue; Xin Gao 023; Xinping Diao; Haibo Yu; Yuan Li 073; Tianyang Chen; Huiting Xu; Yinglan Liu (Inf. Process. Manag., 2026)

Adaptive sample repulsion against class-specific counterfactuals for explainable imbalanced classification. - Yu Hao; Xin Gao 023; Xinping Diao; Yuan Li 073; Yukun Lin; Tianyang Chen; Qiangwei Li; Jiawen Lu (Neural Networks, 2026)

Memory-guided mask reconstruction with central contrastive learning for robust multivariate time series anomaly detection. - Le He; Xin Gao 023; Xinping Diao; Yuan Li 073; Chengming Tian; Yukun Lin; Bing Xue; Taizhi Wang (Neural Networks, 2026)