Multi-task Deep Reinforcement Learning for Scalable Parallel Task Scheduling. - Lingxin Zhang; Qi Qi 001; Jingyu Wang 001; Haifeng Sun 001; Jianxin Liao (IEEE BigData, 2019)

Knowledge-Driven Service Offloading Decision for Vehicular Edge Computing: A Deep Reinforcement Learning Approach. - Qi Qi 001; Jingyu Wang 001; Zhanyu Ma; Haifeng Sun 001; Yufei Cao; Lingxin Zhang; Jianxin Liao (IEEE Trans. Veh. Technol., 2019)

Scalable Parallel Task Scheduling for Autonomous Driving Using Multi-Task Deep Reinforcement Learning. - Qi Qi 001; Lingxin Zhang; Jingyu Wang 001; Haifeng Sun 001; Zirui Zhuang; Jianxin Liao; F. Richard Yu (IEEE Trans. Veh. Technol., 2020)

Evaluation of Shear Stress Transport, Large Eddy Simulation and Detached Eddy Simulation for the Flow around a Statically Loaded Tire. - Haichao Zhou; Huiyun Li; Qingyun Chen; Lingxin Zhang (Symmetry, 2021)

Estimation of the Friction Behaviour of Rubber on Wet Rough Road, and Its Application to Tyre Wet Skid Resistance, Using Numerical Simulation. - Lingxin Zhang; Rongqian Wang; Haichao Zhou; Guolin Wang (Symmetry, 2022)

Support behind the scenes: the relationship between acknowledgement, coauthor, and citation in Nobel articles. - Wen Lou; Jiangen He; Lingxin Zhang; Zhijie Zhu; Yongjun Zhu (Scientometrics, 2023)