Practical Computation Acceleration for Large Size Single Image Filtering Based Haze Removal. - Heng Liu 002; Hongshen Liu; Jing Xun (IScIDE (1), 2015)

Energy-Efficient Operation of Single Train Based on the Control Strategy of ATO. - Shuqi Liu; Fang Cao; Jing Xun; Yihui Wang (ITSC, 2015)

Adaptive Neural Dynamic surface control with truncated Adaptation for uncertain saturated nonlinear Systems. - Shigen Gao; Hairong Dong 001; Bin Ning; Jing Xun (Control. Intell. Syst., 2015)

An Optimization Approach for Real-Time Headway Control of Railway Traffic. - Jing Xun; Ke-Ping Li; Yuan Cao (IEICE Trans. Inf. Syst., 2015)

An Integrated Control Model for Headway Regulation and Energy Saving in Urban Rail Transit. - Bin Ning; Jing Xun; Shigen Gao; Lingying Zhang (IEEE Trans. Intell. Transp. Syst., 2015)

Timetable multi-objective optimization by improved genetic algorithm based on stochastic passenger flow. - Xubin Sun; Hong Lu 014; Hairong Dong 001; Jing Xun (ITSC, 2016)

Prediction algorithms for train arrival time in urban rail transit. - Yafei Liu; Tao Tang; Jing Xun (ITSC, 2017)

Train cooperative control for headway adjustment in high-speed railways. - Jing Xun; Jiateng Yin; Yang Zhou 019; Fan Liu (Intelligent Vehicles Symposium, 2017)

An Intelligent train regulation algorithm for metro using deep reinforcement learning. - Yafei Liu; Tao Tang; Lei Yue; Jing Xun; Hui Guo (ITSC, 2018)

Optimal Train Control by Approximate Dynamic Programming: Comparison of Three Value Function Approximation Methods. - Tong Liu; Jing Xun; Jiateng Yin; Xiao Xiao (ITSC, 2018)

A Two-Stage Stochastic Optimization Model for Passenger-Oriented Metro Rescheduling with Backup Trains. - Jiateng Yin; Tao Tang 004; Lixing Yang; Jing Xun; Shuai Su; Yihui Wang 001 (ITSC, 2018)

Analysis of optimal train control problem on a non-steep track with speed limit. - Tong Liu; Jing Xun; Yafei Liu (ITSC, 2019)

An approach for accurate stopping of high-speed train by using model predictive control. - Xiaoyu Liu; Jing Xun; Bin Ning; Lei Yuan (ITSC, 2019)

Mixed-Integer Linear Programming Models for Coordinated Train Timetabling with Dynamic Demand. - Jiateng Yin; Andrea D'Ariano; Yihui Wang 001; Jing Xun; Shuai Su; Tao Tang 004 (ITSC, 2019)

Intelligent operation of heavy haul train with data imbalance: A machine learning method. - Xi Wang; Shukai Li; Tao Tang; Xiaoning Wang; Jing Xun (Knowl. Based Syst., 2019)

A Coordinated Collision Mitigation Approach for Virtual Coupling Trains by Using Model Predictive Control*. - Mingliang Chen; Jing Xun; Yafei Liu (ITSC, 2020)

Motion Recurring Pattern Analysis: A Lossless Representation for Motion Capture Databases. - Pengjie Wang 001; Jiang Wang 015; Xiaoming Wei; Jiana Meng; Jing Xun (IEEE Access, 2020)

An Overspeed Protection Mechanism for Virtual Coupling in Railway. - Jing Xun; Mingliang Chen; Yafei Liu; Fan Liu (IEEE Access, 2020)

Using Approximate Dynamic Programming to Maximize Regenerative Energy Utilization for Metro. - Jing Xun; Tong Liu; Bin Ning; Yafei Liu (IEEE Trans. Intell. Transp. Syst., 2020)

A Bi-level Real-time Rescheduling Approach for Train Operation in High-speed Railways. - Fan Liu; Jing Xun; Hairong Dong 001; Zixuan Zhang; Yanyan Li (ITSC, 2021)

A Model Predictive Control Based Inter-Station Driving Strategy for Virtual Coupling Trains in Railway System. - Xiaolin Luo; Hongjie Liu; Lei Zhang; Jing Xun (ITSC, 2021)

Design of Running Grades for Energy-Efficient Train Regulation: A Case Study for Beijing Yizhuang Line. - Shuai Su; Tao Tang 004; Jing Xun; Fang Cao; Yihui Wang 001 (IEEE Intell. Transp. Syst. Mag., 2021)

A Driving Strategy Based Integrated Rescheduling Model for High-Speed Railway by Using the Parallel Intelligent Method. - Fan Liu; Jing Xun; Min Zhou 003; Shibo He; Hairong Dong 001 (DTPI, 2022)

An Approach to Improving Regenerative Energy by Using Swarm Intelligence for Urban Rail Transit. - Hao Liu; Jing Xun; Juanjuan Cai; Yafei Liu; Xuguang Wen (ITSC, 2022)

Integration of Train Control and Online Rescheduling for High-Speed Railways in Case of Emergencies. - Hairong Dong 001; Xuan Liu; Min Zhou 003; Wei Zheng; Jing Xun; Shigen Gao; Haifeng Song 001; Yidong Li; Fei-Yue Wang 001 (IEEE Trans. Comput. Soc. Syst., 2022)

Distributed Model Predictive Control Strategy for Constrained High-Speed Virtually Coupled Train Set. - Yafei Liu; Ronghui Liu; Chongfeng Wei; Jing Xun; Tao Tang 004 (IEEE Trans. Veh. Technol., 2022)

An Integrated Approach for Energy-Efficient Train Operation Considering Bidirectional Converter in Urban Rail Transit. - Yanyan Li; Jing Xun; Hao Liu; Jiayu Mi; Xiangyu Ji (ITSC, 2023)

A Real-Time Rescheduling Approach Using Loop Iteration for High-Speed Railway Traffic. - Fan Liu; Jing Xun; Ronghui Liu; Jiateng Yin; Hairong Dong 001 (IEEE Intell. Transp. Syst. Mag., 2023)

Safe Reinforcement Learning for Single Train Trajectory Optimization via Shield SARSA. - Zicong Zhao; Jing Xun; Xuguang Wen; Jianqiu Chen (IEEE Trans. Intell. Transp. Syst., 2023)

Control strategy for stable formation of high-speed virtually coupled trains with disturbances and delays. - Yafei Liu; Yang Zhou 019; Shuai Su; Jing Xun; Tao Tang 004 (Comput. Aided Civ. Infrastructure Eng., 2023)

Distributed Model Predictive Control for Virtually Coupled Heterogeneous Trains: Comparison and Assessment. - Xiaoyu Liu; Azita Dabiri; Yihui Wang 001; Jing Xun; Bart De Schutter (IEEE Trans. Intell. Transp. Syst., 2024)

Multi-trajectory optimization for train using distributional reinforcement learning with conditional value-at-risk. - Yalan Chen; Jing Xun; Shibo He; Xin Wan; Yafei Liu (Appl. Soft Comput., 2025)