Yongjie Fu

According to our database, Yongjie Fu authored at least 14 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

DriveGenVLM: Real-world Video Generation for Vision Language Model based Autonomous Driving.

Yongjie Fu, Anmol Jain, Xuan Di, Xu Chen, Zhaobin Mo

CoRR, 2024

GenDDS: Generating Diverse Driving Video Scenarios with Prompt-to-Video Generative Model.

Yongjie Fu, Yunlong Li, Xuan Di

CoRR, 2024

Can LLMs Understand Social Norms in Autonomous Driving Games?

Boxuan Wang, Haonan Duan, Yanhao Feng, Xu Chen, Yongjie Fu, Zhaobin Mo, Xuan Di

CoRR, 2024

Digital Twin for Pedestrian Safety Warning at a Single Urban Traffic Intersection.

Yongjie Fu, Mehmet Kerem Türkcan, Vikram Anantha, Zoran Kostic, Gil Zussman, Xuan Di

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

PI-NeuGODE: Physics-Informed Graph Neural Ordinary Differential Equations for Spatiotemporal Trajectory Prediction.

Zhaobin Mo, Yongjie Fu, Xuan Di

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

An Interpretable Time Series Data Prediction Framework for Severe Accidents in Nuclear Power Plants.

Yongjie Fu, Dazhi Zhang, Yunlong Xiao, Zhihui Wang, Huabing Zhou

Entropy, August, 2023

Physics-Informed Deep Learning for Traffic State Estimation: A Survey and the Outlook.

Xuan Di, Rongye Shi, Zhaobin Mo, Yongjie Fu

Algorithms, June, 2023

Detecting mild cognitive impairment and dementia in older adults using naturalistic driving data and interaction-based classification from influence score.

Xuan Di, Yiqiao Yin, Yongjie Fu, Zhaobin Mo, Shaw-Hwa Lo, Carolyn DiGuiseppi, David W. Eby, Linda L. Hill, Thelma J. Mielenz, David Strogatz, Minjae Kim, Guohua Li

Artif. Intell. Medicine, 2023

Federated Reinforcement Learning for Adaptive Traffic Signal Control: A Case Study in New York City.

Yongjie Fu, Xuan Di

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022

TrafficFlowGAN: Physics-Informed Flow Based Generative Adversarial Network for Uncertainty Quantification.

Zhaobin Mo, Yongjie Fu, Daran Xu, Xuan Di

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Quantifying Uncertainty In Traffic State Estimation Using Generative Adversarial Networks.

Zhaobin Mo, Yongjie Fu, Xuan Di

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

SMART-eFlo: An Integrated SUMO-Gym Framework for Multi-Agent Reinforcement Learning in Electric Fleet Management Problem.

Shuo Liu, Yunhao Wang, Xu Chen, Yongjie Fu, Xuan Di

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2021

An L-Band Phased Array Radiometer for Sea Surface Salinity in Coastal Zones.

Hailiang Lu, Hao Li, Yayun Cheng, Dong Zhu, Yinan Li, Pengju Dang, Rongchuan Lv, Rui Yu, Yongjie Fu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

CVLight: Deep Reinforcement Learning for Adaptive Traffic Signal Control with Connected Vehicles.

Wangzhi Li, Yaxing Cai, Ujwal Dinesha, Yongjie Fu, Xuan Di

CoRR, 2021