Energy Management for a Hybrid Electric Vehicle Based on Blended Reinforcement Learning With Backward Focusing and Prioritized Sweeping. - Ningkang Yang; Lijin Han; Changle Xiang; Hui Liu 001; Xuzhao Hou (IEEE Trans. Veh. Technol., 2021)

Real-Time Scheduling Algorithm for Mixed-Criticality Systems on Multi-Core Processor Platforms. - Meng Li; Bitao Hu; Kun Xiao; Ningkang Yang (ISSSR, 2022)

Real-Time Energy Management for a Hybrid Electric Vehicle Based on Heuristic Search. - Ningkang Yang; Lijin Han; Changle Xiang; Hui Liu 001; Tian Ma; Shumin Ruan (IEEE Trans. Veh. Technol., 2022)

Time-Delay Deep Q-Network Based Retarder Torque Tracking Control Framework for Heavy-Duty Vehicles. - Xiuqi Chen; Wei Wei; Qingdong Yan; Ningkang Yang; Jingqiu Huang (IEEE Trans. Veh. Technol., 2023)

Bi-Level Optimization of Speed Trajectory and Power Management for Autonomous HEVs in Off-Road Scenarios. - Lingxiong Guo; Shida Nie; Hui Liu 001; Lijin Han; Shumin Ruan; Rui Liu; Ningkang Yang; Changle Xiang (IEEE Trans. Intell. Veh., 2024)

Efficient Cloud-Sourced Transport Mode Detection Using Trajectory Data: A Semi-Supervised Asynchronous Federated Learning Approach. - Ningkang Yang; Qing-Long Lu; Iuliia Yamnenko; Constantinos Antoniou 001 (IEEE Internet Things J., 2025)