A fractional-order momentum optimization approach of deep neural networks. - Zhongliang Yu 003; Guanghui Sun; Jianfeng Lv (Neural Comput. Appl., 2022)

A Fractional-Order Method for Metalearning About Aerospace Target Classification. - Zhongliang Yu 003; Jianfeng Lv (IEEE Trans. Aerosp. Electron. Syst., 2023)

An information fusion method for meta-tracker about online aerospace object tracking. - Zhongliang Yu 003 (J. Intell. Fuzzy Syst., 2023)

A PID Based Meta-Learning Method About Space Non-Cooperative Active Object Tracking. - Zhongliang Yu 003; Guanghui Sun (IEEE Trans. Veh. Technol., 2023)

Vision-Based Deep Reinforcement Learning of UAV Autonomous Navigation Using Privileged Information. - Junqiao Wang; Zhongliang Yu 003; Dong Zhou 002; Jiaqi Shi; Runran Deng (CoRR, 2024)

GTAN: graph-based tracklet association network for multi-object tracking. - Jianfeng Lv; Zhongliang Yu 003; Yifan Liu; Guanghui Sun (Neural Comput. Appl., 2024)

Diagnosis of PEM Fuel Cell System Based on Electrochemical Impedance Spectroscopy and Deep Learning Method. - Jianfeng Lv; Jiyuan Kuang; Zhongliang Yu 003; Guanghui Sun; Jianxing Liu; José I. Leon (IEEE Trans. Ind. Electron., 2024)

A PID controller method for meta-learning about aerospace target classification. - Zhongliang Yu 003; Jianfeng Lv (Multim. Tools Appl., 2024)

SFBDA: A Semantic-Decoupled Data Augmentation Framework for Infrared Few-Shot Object Detection on UAVs. - Zhenhai Weng; Weijie He; Jianfeng Lv; Dong Zhou 002; Zhongliang Yu 003 (IEEE Geosci. Remote. Sens. Lett., 2025)

Fractional-Order Meta-Reinforcement Learning for Space Noncooperative Object Active Visual Tracking. - Zhongliang Yu 003; Xiaojie Su; Guanghui Sun (IEEE Trans. Aerosp. Electron. Syst., 2025)

Meta-reinforcement learning for active visual tracking about space non-cooperative object. - Zhongliang Yu 003 (Multim. Tools Appl., 2025)