Keshu Wu

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 7

Top Topics

Graph Connectivity

Diffusion Model

Control Strategy

Top Venues

IEEE Trans. Intell. Veh.

IEEE Trans. Intell. Transp. Syst.

Knowl. Based Syst.

Publications

Pei Li, Keshu Wu, Yang Cheng, Steven T. Parker, David A. Noyce
How Does C-V2X Perform in Urban Environments? Results From Real-World Experiments on Urban Arterials. IEEE Trans. Intell. Veh. 9 (1) (2024)
Yang Zhou, Zhen Zhang, Fan Ding, Soyoung Ahn, Keshu Wu, Bin Ran
A Deep Long Short-Term Memory Network Embedded Model Predictive Control Strategies for Car-Following Control of Connected Automated Vehicles in Mixed Traffic. IEEE Trans. Intell. Transp. Syst. 25 (7) (2024)
Junwei You, Haotian Shi, Keshu Wu, Keke Long, Sicheng Fu, Sikai Chen, Bin Ran
Crossfusor: A Cross-Attention Transformer Enhanced Conditional Diffusion Model for Car-Following Trajectory Prediction. CoRR (2024)
Keshu Wu, Yang Zhou, Haotian Shi, Xiaopeng Shaw Li, Bin Ran
Graph-Based Interaction-Aware Multimodal 2D Vehicle Trajectory Prediction Using Diffusion Graph Convolutional Networks. IEEE Trans. Intell. Veh. 9 (2) (2024)
Keshu Wu, Yang Zhou, Haotian Shi, Xiaopeng Li, Bin Ran
Graph-Based Interaction-Aware Multimodal 2D Vehicle Trajectory Prediction using Diffusion Graph Convolutional Networks. CoRR (2023)
Haotian Shi, Yang Zhou, Keshu Wu, Sikai Chen, Bin Ran, Qinghui Nie
Physics-informed deep reinforcement learning-based integrated two-dimensional car-following control strategy for connected automated vehicles. Knowl. Based Syst. 269 (2023)
Haotian Shi, Yang Zhou, Keshu Wu, Xin Wang, Yangxin Lin, Bin Ran
Partially Connected Automated Vehicle Cooperative Control Strategy with a Deep Reinforcement Learning Approach. CoRR (2020)