Jingxin Mao

According to our database, Jingxin Mao authored at least 7 papers between 2023 and 2025.

Collaborative distances:

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

2025

D²Fed: Federated Semi-Supervised Learning With Dual-Role Additive Local Training and Dual-Perspective Global Aggregation.

Jingxin Mao, Yu Yang, Zhiwei Wei, Yanlong Bi, Rongqing Zhang

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

A Comprehensive Federated Learning Framework for Diabetic Retinopathy Grading and Lesion Segmentation.

Jingxin Mao, Xiaoyu Ma, Yanlong Bi, Rongqing Zhang

IEEE Trans. Big Data, June, 2025

A Survey on Federated Learning in Intelligent Transportation Systems.

Rongqing Zhang, Jingxin Mao, Hanqiu Wang, Bing Li, Xiang Cheng, Liuqing Yang

IEEE Trans. Intell. Veh., May, 2025

FedIn-NID: A Federated Learning Framework for Network Intrusion Detection in Large-Scale Heterogeneous Industrial IoT.

Jingxin Mao, Zhiwei Wei, Bing Li, Rongqing Zhang, Lingyang Song

IEEE Trans. Inf. Forensics Secur., 2025

Privacy-Preserving Hierarchical Reinforcement Learning Framework for Task Offloading in Low-Altitude Vehicular Fog Computing.

Zhiwei Wei, Jingxin Mao, Bing Li, Rongqing Zhang

IEEE Open J. Commun. Soc., 2025

2024

Toward Ever-Evolution Network Threats: A Hierarchical Federated Class-Incremental Learning Approach for Network Intrusion Detection in IIoT.

Jingxin Mao, Zhiwei Wei, Bing Li, Rongqing Zhang, Lingyang Song

IEEE Internet Things J., September, 2024

2023

TJDR: A High-Quality Diabetic Retinopathy Pixel-Level Annotation Dataset.

Jingxin Mao, Xiaoyu Ma, Yanlong Bi, Rongqing Zhang

CoRR, 2023