Freeway Traffic Congestion Reduction and Environment Regulation via Model Predictive Control. - Juan Chen 006; Yuxuan Yu; Qi Guo (Algorithms, 2019)

Research on Quantitative Investment Strategies Based on Deep Learning. - Yujie Fang; Juan Chen 006; Zhengxuan Xue (Algorithms, 2019)

A parallel spatiotemporal deep learning network for highway traffic flow forecasting. - Dongxiao Han; Juan Chen 006; Jian Sun 010 (Int. J. Distributed Sens. Networks, 2019)

Traffic congestion prediction based on GPS trajectory data. - Shuming Sun; Juan Chen 006; Jian Sun 010 (Int. J. Distributed Sens. Networks, 2019)

Traffic travel pattern recognition based on sparse Global Positioning System trajectory data. - Juan Chen 006; Kepei Qi; Shiyu Zhu (Int. J. Distributed Sens. Networks, 2020)

Deep Reinforcement Learning Based Left-Turn Connected and Automated Vehicle Control at Signalized Intersection in Vehicle-to-Infrastructure Environment. - Juan Chen 006; Zhengxuan Xue; Daiqian Fan (Inf., 2020)

Multi-Class Freeway Congestion and Emission Based on Robust Dynamic Multi-Objective Optimization. - Juan Chen 006; Qinxuan Feng; Qi Guo (Algorithms, 2021)

Connected and automated vehicle control at unsignalized intersection based on deep reinforcement learning in vehicle-to-infrastructure environment. - Juan Chen 006; Vijayan Sugumaran; Peiyan Qu (Int. J. Distributed Sens. Networks, 2022)

Multi-Source Data-Driven Local-Global Dynamic Multi-Graph Convolutional Network for Bike-Sharing Demands Prediction. - Juan Chen 006; Rui Huang (Algorithms, 2024)