RLPGB-Net: Reinforcement Learning of Feature Fusion and Global Context Boundary Attention for Infrared Dim Small Target Detection. - Zhe Wang 002; Tao Zang; Zhiling Fu; Hai Yang 002; Wenli Du (IEEE Trans. Geosci. Remote. Sens., 2023)

Flexible few-shot class-incremental learning with prototype container. - Xinlei Xu; Zhe Wang 002; Zhiling Fu; Wei Guo 023; Ziqiu Chi; Dongdong Li (Neural Comput. Appl., 2023)

Knowledge aggregation networks for class incremental learning. - Zhiling Fu; Zhe Wang 002; Xinlei Xu; Dongdong Li; Hai Yang 002 (Pattern Recognit., 2023)

Federated probability memory recall for federated continual learning. - Zhe Wang 002; Yu Zhang; Xinlei Xu; Zhiling Fu; Hai Yang 002; Wenli Du (Inf. Sci., 2023)

Distributed few-shot learning with prototype distribution correction. - Zhiling Fu; Dongfang Tang; Pingchuan Ma 009; Zhe Wang 002; Wen Gao 001 (Appl. Intell., 2023)

Semantic alignment with self-supervision for class incremental learning. - Zhiling Fu; Zhe Wang 002; Xinlei Xu; Mengping Yang; Ziqiu Chi; Weichao Ding (Knowl. Based Syst., 2023)

Guided Attention and Joint Loss for Infrared Dim Small Target Detection. - Yunfei Tong; Jing Liu; Zhiling Fu; Zhe Wang 002; Hai Yang 002; Saisai Niu; Qinyan Tan (IEEE Trans. Geosci. Remote. Sens., 2024)

MAPFF: Multiangle Pyramid Feature Fusion Network for Infrared Dim Small Target Detection. - Hai Yang 002; Jing Liu; Zhe Wang 002; Zhiling Fu; Qinyan Tan; Saisai Niu (IEEE Trans. Geosci. Remote. Sens., 2024)

Relationship constraint deep metric learning. - Yanbing Zhang; Ting Xiao; Zhe Wang 002; Xinru Wang; Wenyi Feng; Zhiling Fu; Hai Yang 002 (Appl. Intell., 2024)

Hybrid rotation self-supervision and feature space normalization for class incremental learning. - Wenyi Feng; Zhe Wang 002; Qian Zhang 068; Jiayi Gong; Xinlei Xu; Zhiling Fu (Inf. Sci., 2025)

Multi-view prototype balance and temporary proxy constraint for exemplar-free class-incremental learning. - Heng Tian; Qian Zhang 068; Zhe Wang 002; Yu Zhang; Xinlei Xu; Zhiling Fu (Appl. Intell., 2025)

Double Confidence Calibration Focused Distillation for Task-Incremental Learning. - Zhiling Fu; Zhe Wang 002; Chengwei Yu; Xinlei Xu; Dongdong Li (IEEE Trans. Neural Networks Learn. Syst., 2025)

BFCP: Pursue Better Forward Compatibility Pretraining for Few-Shot Class-Incremental Learning. - Zhiling Fu; Zhe Wang 002; Xinlei Xu; Wei Guo 023; Ziqiu Chi; Hai Yang 002; Wenli Du (IEEE Trans. Neural Networks Learn. Syst., 2025)