A Distributed Deep Reinforcement Learning-based Optimization Scheme for Vehicle Edge Computing Task Offloading. - Bingxian Li; Lin Zhu; Long Tan (CSCWD, 2024)

Optimization Scheme of Vehicular Edge Computing Task Offloading Based on Digital Twin Assistance. - Lin Zhu; Long Tan; Bingxian Li (CSCWD, 2024)

Vehicular edge cloud computing content caching optimization solution based on content prediction and deep reinforcement learning. - Lin Zhu; Bingxian Li; Long Tan (Ad Hoc Networks, 2024)

An optimization scheme for vehicular edge computing based on Lyapunov function and deep reinforcement learning. - Lin Zhu; Long Tan; Bingxian Li; Huizi Tian (IET Commun., 2024)

Representing-behavior-based online driving style recognition and its road verification. - Bingxian Li; Yanfang Liu; Junwei Zhao; Xiangyang Xu; Peng Dong; Songbo Chen; Xiaojun Wu; Xuewu Liu; Hongzhong Qi (Eng. Appl. Artif. Intell., 2025)

A Digital Twin-based multi-objective optimized task offloading and scheduling scheme for vehicular edge networks. - Lin Zhu; Bingxian Li; Long Tan (Future Gener. Comput. Syst., 2025)

A vehicular edge computing offloading and task caching solution based on spatiotemporal prediction. - Lin Zhu; Bingxian Li; Long Tan (Future Gener. Comput. Syst., 2025)

A vehicular edge computing content caching solution based on content prediction and D4PG. - Bingxian Li; Lin Zhu; Long Tan (Clust. Comput., 2025)

Optimizing task offloading and resource allocation in latency-constrained vehicular edge computing. - Bingxian Li; Lin Zhu; Long Tan (Clust. Comput., 2025)