Li, Changle

Resource Scheduling in Edge Computing: A Survey

Luo, Q., Hu, S., Li, C., Li, G., & Shi, W. (2021) · IEEE Communications Surveys & Tutorials

IoT and Edge/Fog ComputingEnergy Efficiency in Computing

Cited by 588

A Survey of Driving Safety With Sensing, Vehicular Communications, and Artificial Intelligence-Based Collision Avoidance

Fu, Y., Li, C., Yu, F. R., Luan, T. H., & Zhang, Y. (2022) · IEEE Transactions on Intelligent Transportation Systems

Autonomous Vehicle Technology and SafetyTraffic and Road Safety

Cited by 169

An Incentive Mechanism of Incorporating Supervision Game for Federated Learning in Autonomous Driving

Fu, Y., Li, C., Yu, F. R., Luan, T. H., & Zhao, P. (2023) · IEEE Transactions on Intelligent Transportation Systems

Privacy-Preserving Technologies in DataBlockchain Technology Applications and Security

Cited by 96

Secure and Personalized Edge Computing Services in 6G Heterogeneous Vehicular Networks

Hui, Y., Cheng, N., Su, Z., Huang, Y., Zhao, P., Luan, T. H., & Li, C. (2022) · IEEE Internet of Things Journal

IoT and Edge/Fog ComputingVehicular Ad Hoc Networks (VANETs)

Cited by 76

SIFT algorithm-based 3D pose estimation of femur

Zhang, X., Zhu, Y., Li, C., Zhao, J., & Li, G. (2014) · Bio-Medical Materials and Engineering

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 8

Autonomous Braking Algorithm for Rear-End Collision via Communication-Efficient Federated Learning

Liu, S., Fu, Y., Zhao, P., Li, F., & Li, C. (2021) · 2021 IEEE Global Communications Conference (GLOBECOM)

Privacy-Preserving Technologies in DataAutonomous Vehicle Technology and Safety

Cited by 6