Zhiling Fu

According to our database, Zhiling Fu authored at least 13 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

BFCP: Pursue Better Forward Compatibility Pretraining for Few-Shot Class-Incremental Learning.

Zhiling Fu, Zhe Wang, Xinlei Xu, Wei Guo, Ziqiu Chi, Hai Yang, Wenli Du

IEEE Trans. Neural Networks Learn. Syst., August, 2025

Double Confidence Calibration Focused Distillation for Task-Incremental Learning.

Zhiling Fu, Zhe Wang, Chengwei Yu, Xinlei Xu, Dongdong Li

IEEE Trans. Neural Networks Learn. Syst., May, 2025

Multi-view prototype balance and temporary proxy constraint for exemplar-free class-incremental learning.

Heng Tian, Qian Zhang, Zhe Wang, Yu Zhang, Xinlei Xu, Zhiling Fu

Appl. Intell., April, 2025

Hybrid rotation self-supervision and feature space normalization for class incremental learning.

Wenyi Feng, Zhe Wang, Qian Zhang, Jiayi Gong, Xinlei Xu, Zhiling Fu

Inf. Sci., 2025

2024

Relationship constraint deep metric learning.

Yanbing Zhang, Ting Xiao, Zhe Wang, Xinru Wang, Wenyi Feng, Zhiling Fu, Hai Yang

Appl. Intell., April, 2024

MAPFF: Multiangle Pyramid Feature Fusion Network for Infrared Dim Small Target Detection.

Hai Yang, Jing Liu, Zhe Wang, Zhiling Fu, Qinyan Tan, Saisai Niu

IEEE Trans. Geosci. Remote. Sens., 2024

Guided Attention and Joint Loss for Infrared Dim Small Target Detection.

Yunfei Tong, Jing Liu, Zhiling Fu, Zhe Wang, Hai Yang, Saisai Niu, Qinyan Tan

IEEE Trans. Geosci. Remote. Sens., 2024

2023

Semantic alignment with self-supervision for class incremental learning.

Zhiling Fu, Zhe Wang, Xinlei Xu, Mengping Yang, Ziqiu Chi, Weichao Ding

Knowl. Based Syst., December, 2023

Distributed few-shot learning with prototype distribution correction.

Zhiling Fu, Dongfang Tang, Pingchuan Ma, Zhe Wang, Wen Gao

Appl. Intell., December, 2023

Federated probability memory recall for federated continual learning.

Zhe Wang, Yu Zhang, Xinlei Xu, Zhiling Fu, Hai Yang, Wenli Du

Inf. Sci., June, 2023

Knowledge aggregation networks for class incremental learning.

Zhiling Fu, Zhe Wang, Xinlei Xu, Dongdong Li, Hai Yang

Pattern Recognit., May, 2023

Flexible few-shot class-incremental learning with prototype container.

Xinlei Xu, Zhe Wang, Zhiling Fu, Wei Guo, Ziqiu Chi, Dongdong Li

Neural Comput. Appl., May, 2023

RLPGB-Net: Reinforcement Learning of Feature Fusion and Global Context Boundary Attention for Infrared Dim Small Target Detection.

Zhe Wang, Tao Zang, Zhiling Fu, Hai Yang, Wenli Du

IEEE Trans. Geosci. Remote. Sens., 2023