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Yongjie Fu
ORCID
Publication Activity (10 Years)
Years Active: 2021-2024
Publications (10 Years): 14
Top Topics
Traffic Signal
Ordinary Differential Equations
Reinforcement Learning
Kalman Filtering
Top Venues
CoRR
ITSC
Artif. Intell. Medicine
AAMAS
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Publications
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Yongjie Fu
,
Mehmet Kerem Türkcan
,
Vikram Anantha
,
Zoran Kostic
,
Gil Zussman
,
Xuan Di
Digital Twin for Pedestrian Safety Warning at a Single Urban Traffic Intersection.
IV
(2024)
Zhaobin Mo
,
Yongjie Fu
,
Xuan Di
PI-NeuGODE: Physics-Informed Graph Neural Ordinary Differential Equations for Spatiotemporal Trajectory Prediction.
AAMAS
(2024)
Yongjie Fu
,
Dazhi Zhang
,
Yunlong Xiao
,
Zhihui Wang
,
Huabing Zhou
An Interpretable Time Series Data Prediction Framework for Severe Accidents in Nuclear Power Plants.
Entropy
25 (8) (2023)
Yongjie Fu
,
Xuan Di
Federated Reinforcement Learning for Adaptive Traffic Signal Control: A Case Study in New York City.
ITSC
(2023)
Xuan Di
,
Rongye Shi
,
Zhaobin Mo
,
Yongjie Fu
Physics-Informed Deep Learning for Traffic State Estimation: A Survey and the Outlook.
Algorithms
16 (6) (2023)
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
Detecting mild cognitive impairment and dementia in older adults using naturalistic driving data and interaction-based classification from influence score.
Artif. Intell. Medicine
138 (2023)
Xuan Di
,
Rongye Shi
,
Zhaobin Mo
,
Yongjie Fu
Physics-Informed Deep Learning For Traffic State Estimation: A Survey and the Outlook.
CoRR
(2023)
Zhaobin Mo
,
Yongjie Fu
,
Daran Xu
,
Xuan Di
TrafficFlowGAN: Physics-Informed Flow Based Generative Adversarial Network for Uncertainty Quantification.
ECML/PKDD (3)
(2022)
Zhaobin Mo
,
Yongjie Fu
,
Xuan Di
Quantifying Uncertainty In Traffic State Estimation Using Generative Adversarial Networks.
ITSC
(2022)
Zhaobin Mo
,
Yongjie Fu
,
Daran Xu
,
Xuan Di
TrafficFlowGAN: Physics-informed Flow based Generative Adversarial Network for Uncertainty Quantification.
CoRR
(2022)
Shuo Liu
,
Yunhao Wang
,
Xu Chen
,
Yongjie Fu
,
Xuan Di
SMART-eFlo: An Integrated SUMO-Gym Framework for Multi-Agent Reinforcement Learning in Electric Fleet Management Problem.
ITSC
(2022)
Zhaobin Mo
,
Yongjie Fu
,
Xuan Di
Quantifying Uncertainty In Traffic State Estimation Using Generative Adversarial Networks.
CoRR
(2022)
Wangzhi Li
,
Yaxing Cai
,
Ujwal Dinesha
,
Yongjie Fu
,
Xuan Di
CVLight: Deep Reinforcement Learning for Adaptive Traffic Signal Control with Connected Vehicles.
CoRR
(2021)
Hailiang Lu
,
Hao Li
,
Yayun Cheng
,
Dong Zhu
,
Yinan Li
,
Pengju Dang
,
Rongchuan Lv
,
Rui Yu
,
Yongjie Fu
An L-Band Phased Array Radiometer for Sea Surface Salinity in Coastal Zones.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
14 (2021)