101 citations · 129 across the 6 of their papers we have counts for
6 papers
Deep Multi-View Channel-Wise Spatio-Temporal Network for Traffic Flow Prediction
Hao Miao, Senzhang Wang, Meiyue Zhang +3
Accurately forecasting traffic flows is critically important to many real applications including public safety and intelligent transportation systems. The challenges of this proble…
Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges
Qi Liu, Xueyuan Li, Zirui Li +5
Proper functioning of connected and automated vehicles (CAVs) is crucial for the safety and efficiency of future intelligent transport systems. Meanwhile, transitioning to fully au…
Forecasting Human Trajectory from Scene History
Mancheng Meng, Ziyan Wu, Terrence Chen +4
Predicting the future trajectory of a person remains a challenging problem, due to randomness and subjectivity of human movement. However, the moving patterns of human in a constra…
Learning Individual Interactions from Population Dynamics with Discrete-Event Simulation Model
Yan Shen, Fan Yang, Mingchen Gao +1
The abundance of data affords researchers to pursue more powerful computational tools to learn the dynamics of complex system, such as neural networks, engineered systems and socia…
EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning
Jiachen Li, Fan Yang, Masayoshi Tomizuka +1
Multi-agent interacting systems are prevalent in the world, from pure physical systems to complicated social dynamic systems. In many applications, effective understanding of the s…
Optimal Control of Complex Systems through Variational Inference with a Discrete Event Decision Process
Wen Dong, Bo Liu, Fan Yang
Complex social systems are composed of interconnected individuals whose interactions result in group behaviors. Optimal control of a real-world complex system has many applications…