Keshu Wu

According to our database, Keshu Wu authored at least 24 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

A Predictive Deep-Reinforcement-Learning-Based Connected Automated Vehicle Anticipatory Longitudinal Control in a Mixed Traffic Lane Change Condition.

Haotian Shi, Kunsong Shi, Keshu Wu, Wan Li, Yang Zhou, Bin Ran

IEEE Internet Things J., July, 2025

Automated Vehicles Should be Connected with Natural Language.

Xiangbo Gao, Keshu Wu, Hao Zhang, Kexin Tian, Yang Zhou, Zhengzhong Tu

CoRR, July, 2025

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration.

Xiangbo Gao, Yuheng Wu, Xuewen Luo, Keshu Wu, Xinghao Chen, Yuping Wang, Chenxi Liu, Yang Zhou, Zhengzhong Tu

CoRR, June, 2025

Simulating the Unseen: Crash Prediction Must Learn from What Did Not Happen.

Zihao Li, Xinyuan Cao, Xiangbo Gao, Kexin Tian, Keshu Wu, Mohammad Anis, Hao Zhang, Keke Long, Jiwan Jiang, Xiaopeng Li, Yunlong Zhang, Tianbao Yang, Dominique Lord, Zhengzhong Tu, Yang Zhou

CoRR, May, 2025

Generative AI for Autonomous Driving: Frontiers and Opportunities.

Yuping Wang, Shuo Xing, Cui Can, Renjie Li, Hongyuan Hua, Kexin Tian, Zhaobin Mo, Xiangbo Gao, Keshu Wu, Sulong Zhou, Hengxu You, Juntong Peng, Junge Zhang, Zehao Wang, Rui Song, Mingxuan Yan, Walter Zimmer, Xingcheng Zhou, Peiran Li, Zhaohan Lu, Chia-Ju Chen, Yue Huang, Ryan A. Rossi, Lichao Sun, Hongkai Yu, Zhiwen Fan, Hao (Frank) Yang, Yuhao Kang, Ross Greer, Chenxi Liu, Eun Hak Lee, Xuan Di, Xinyue Ye, Liu Ren, Alois Knoll, Xiaopeng Li, Shuiwang Ji, Masayoshi Tomizuka, Marco Pavone, Laurence Tianruo Yang, Jing Du, Ming-Hsuan Yang, Hua Wei, Ziran Wang, Yang Zhou, Jiachen Li, Zhengzhong Tu

CoRR, May, 2025

AI2-Active Safety: AI-enabled Interaction-aware Active Safety Analysis with Vehicle Dynamics.

Keshu Wu, Zihao Li, Sixu Li, Xinyue Ye, Dominique Lord, Yang Zhou

CoRR, May, 2025

Virtual Roads, Smarter Safety: A Digital Twin Framework for Mixed Autonomous Traffic Safety Analysis.

Hao Zhang, Ximin Yue, Kexin Tian, Sixu Li, Keshu Wu, Zihao Li, Dominique Lord, Yang Zhou

CoRR, April, 2025

Planning Safety Trajectories with Dual-Phase, Physics-Informed, and Transportation Knowledge-Driven Large Language Models.

Rui Gan, Pei Li, Keke Long, Bocheng An, Junwei You, Keshu Wu, Bin Ran

CoRR, April, 2025

A Digital Twin-Driven Recommendation System for Adaptive Campus Course Timetabling.

Keshu Wu, Xinyue Ye, Suphanut Jamonnak, Xin Feng

CoRR, March, 2025

V2X-LLM: Enhancing V2X Integration and Understanding in Connected Vehicle Corridors.

Keshu Wu, Pei Li, Yang Zhou, Rui Gan, Junwei You, Yang Cheng, Jingwen Zhu, Steven T. Parker, Bin Ran, David A. Noyce, Zhengzhong Tu

CoRR, March, 2025

Integrating Spatiotemporal Vision Transformer into Digital Twins for High-Resolution Heat Stress Forecasting in Campus Environments.

Wenjing Gong, Xinyue Ye, Keshu Wu, Suphanut Jamonnak, Wenyu Zhang, Yifan Yang, Xiao Huang

CoRR, February, 2025

2024

A Deep Long Short-Term Memory Network Embedded Model Predictive Control Strategies for Car-Following Control of Connected Automated Vehicles in Mixed Traffic.

Yang Zhou, Zhen Zhang, Fan Ding, Soyoung Ahn, Keshu Wu, Bin Ran

IEEE Trans. Intell. Transp. Syst., July, 2024

Graph-Based Interaction-Aware Multimodal 2D Vehicle Trajectory Prediction Using Diffusion Graph Convolutional Networks.

Keshu Wu, Yang Zhou, Haotian Shi, Xiaopeng Shaw Li, Bin Ran

IEEE Trans. Intell. Veh., February, 2024

How Does C-V2X Perform in Urban Environments? Results From Real-World Experiments on Urban Arterials.

Pei Li, Keshu Wu, Yang Cheng, Steven T. Parker, David A. Noyce

IEEE Trans. Intell. Veh., January, 2024

FollowGen: A Scaled Noise Conditional Diffusion Model for Car-Following Trajectory Prediction.

Junwei You, Rui Gan, Weizhe Tang, Zilin Huang, Jiaxi Liu, Zhuoyu Jiang, Haotian Shi, Keshu Wu, Keke Long, Sicheng Fu, Sikai Chen, Bin Ran

CoRR, 2024

A Digital Twin Framework for Physical-Virtual Integration in V2X-Enabled Connected Vehicle Corridors.

Keshu Wu, Pei Li, Yang Cheng, Steven T. Parker, Bin Ran, David A. Noyce, Xinyue Ye

CoRR, 2024

Real-World Data Inspired Interactive Connected Traffic Scenario Generation.

Junwei You, Pei Li, Yang Cheng, Keshu Wu, Rui Gan, Steven T. Parker, Bin Ran

CoRR, 2024

Goal-based Neural Physics Vehicle Trajectory Prediction Model.

Rui Gan, Haotian Shi, Pei Li, Keshu Wu, Bocheng An, Linheng Li, Junyi Ma, Chengyuan Ma, Bin Ran

CoRR, 2024

Hypergraph-based Motion Generation with Multi-modal Interaction Relational Reasoning.

Keshu Wu, Yang Zhou, Haotian Shi, Dominique Lord, Bin Ran, Xinyue Ye

CoRR, 2024

V2X-VLM: End-to-End V2X Cooperative Autonomous Driving Through Large Vision-Language Models.

Junwei You, Haotian Shi, Zhuoyu Jiang, Zilin Huang, Rui Gan, Keshu Wu, Xi Cheng, Xiaopeng Li, Bin Ran

CoRR, 2024

Crossfusor: A Cross-Attention Transformer Enhanced Conditional Diffusion Model for Car-Following Trajectory Prediction.

Junwei You, Haotian Shi, Keshu Wu, Keke Long, Sicheng Fu, Sikai Chen, Bin Ran

CoRR, 2024

2023

Physics-informed deep reinforcement learning-based integrated two-dimensional car-following control strategy for connected automated vehicles.

Haotian Shi, Yang Zhou, Keshu Wu, Sikai Chen, Bin Ran, Qinghui Nie

Knowl. Based Syst., 2023

Graph-Based Interaction-Aware Multimodal 2D Vehicle Trajectory Prediction using Diffusion Graph Convolutional Networks.

Keshu Wu, Yang Zhou, Haotian Shi, Xiaopeng Li, Bin Ran

CoRR, 2023

2020

Partially Connected Automated Vehicle Cooperative Control Strategy with a Deep Reinforcement Learning Approach.

Haotian Shi, Yang Zhou, Keshu Wu, Xin Wang, Yangxin Lin, Bin Ran

CoRR, 2020