Li, Jie

Federated Learning for Vehicular Internet of Things: Recent Advances and Open Issues

Du, Z., Wu, C., Yoshinaga, T., Yau, K.-L. A., Ji, Y., & Li, J. (2020) · IEEE Open Journal of the Computer Society

Privacy-Preserving Technologies in DataVehicular Ad Hoc Networks (VANETs)

Cited by 393

Big data meet green challenges: big data toward green applications

Wu, J., Guo, S., Li, J., & Zeng, D. (2016) · IEEE Systems Journal

Green IT and SustainabilityBig Data Technologies and Applications

Cited by 389

Semi-Supervised Contrastive Learning With Similarity Co-Calibration

Zhang, Y., Zhang, X., Li, J., Qiu, R. C., Xu, H., & Tian, Q. (2023) · IEEE Transactions on Multimedia

Domain Adaptation and Few-Shot LearningMachine Learning and Algorithms

Cited by 67

BS-GAT: a network intrusion detection system based on graph neural network for edge computing

Wang, Y., Han, Z., Du, Y., Li, J., & He, X. (2025) · Cybersecurity

Network Security and Intrusion DetectionNetwork Packet Processing and Optimization

Cited by 47

A multi-agent deep reinforcement learning based energy management for behind-the-meter resources

Wilk, P., Wang, N., & Li, J. (2022) · The Electricity Journal

Smart Grid Energy ManagementElectric Vehicles and Infrastructure

Cited by 9

Multi-channel Man-in-the-Middle Attack Against Communication-Based Train Control Systems: Attack Implementation and Impact

Chi, M., Bu, B., Wang, H., Lv, Y., Yi, S., Yang, X., & Li, J. (2020) · Lecture Notes in Electrical Engineering

Transportation Systems and SafetySmart Grid Security and Resilience

Cited by 9