Zhiyong Cui

According to our database, Zhiyong Cui authored at least 58 papers between 2009 and 2025.

Collaborative distances:

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

2025

CLlight: Enhancing representation of multi-agent reinforcement learning with contrastive learning for cooperative traffic signal control.

Xiang Fu, Yilong Ren, Han Jiang, Jiancheng Lv, Zhiyong Cui, Haiyang Yu

Expert Syst. Appl., 2025

2024

Performance Limit: Fuzzy Logic Based Anti-Collision Algorithm for Industrial Internet of Things Applications.

Dongbo Zhong, Zhiyong Cui, Yufei Xie

Int. J. Uncertain. Fuzziness Knowl. Based Syst., June, 2024

A Cognitive-Based Trajectory Prediction Approach for Autonomous Driving.

Haicheng Liao, Yongkang Li, Zhenning Li, Chengyue Wang, Zhiyong Cui, Shengbo Eben Li, Chengzhong Xu

IEEE Trans. Intell. Veh., April, 2024

An efficient key tag missing identification protocol for multiple regions in the Industrial Internet of Things.

Dongbo Zhong, Qi Xi, Faiz Ul Islam, Zhiyong Cui, Yufei Xie

Phys. Commun., 2024

MuGIL: A Multi-Graph Interaction Learning Network for Multi-Task Traffic Prediction.

Shuai Liu, Haiyang Yu, Han Jiang, Zhenliang Ma, Zhiyong Cui, Yilong Ren

Knowl. Based Syst., 2024

Proactive security defense: cyber threat intelligence modeling for connected autonomous vehicles.

Yinghui Wang, Yilong Ren, Zhiyong Cui, Haiyang Yu

CoRR, 2024

A dataset for cyber threat intelligence modeling of connected autonomous vehicles.

Yinghui Wang, Yilong Ren, Hongmao Qin, Zhiyong Cui, Yanan Zhao, Haiyang Yu

CoRR, 2024

VCAT: Vulnerability-aware and Curiosity-driven Adversarial Training for Enhancing Autonomous Vehicle Robustness.

Xuan Cai, Zhiyong Cui, Xuesong Bai, Ruimin Ke, Zhenshu Ma, Haiyang Yu, Yilong Ren

CoRR, 2024

Real-time Accident Anticipation for Autonomous Driving Through Monocular Depth-Enhanced 3D Modeling.

Haicheng Liao, Yongkang Li, Chengyue Wang, Songning Lai, Zhenning Li, Zilin Bian, Jaeyoung Lee, Zhiyong Cui, Guohui Zhang, ChengZhong Xu

CoRR, 2024

KoMA: Knowledge-driven Multi-agent Framework for Autonomous Driving with Large Language Models.

Kemou Jiang, Xuan Cai, Zhiyong Cui, Aoyong Li, Yilong Ren, Haiyang Yu, Hao Yang, Daocheng Fu, Licheng Wen, Pinlong Cai

CoRR, 2024

Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction.

Haicheng Liao, Yongkang Li, Zhenning Li, Chengyue Wang, Chunlin Tian, Yuming Huang, Zilin Bian, Kaiqun Zhu, Guofa Li, Ziyuan Pu, Jia Hu, Zhiyong Cui, Chengzhong Xu

CoRR, 2024

OccSora: 4D Occupancy Generation Models as World Simulators for Autonomous Driving.

Lening Wang, Wenzhao Zheng, Yilong Ren, Han Jiang, Zhiyong Cui, Haiyang Yu, Jiwen Lu

CoRR, 2024

Traj-LLM: A New Exploration for Empowering Trajectory Prediction with Pre-trained Large Language Models.

Zhengxing Lan, Hongbo Li, Lingshan Liu, Bo Fan, Yisheng Lv, Yilong Ren, Zhiyong Cui

CoRR, 2024

A Cognitive-Driven Trajectory Prediction Model for Autonomous Driving in Mixed Autonomy Environment.

Haicheng Liao, Zhenning Li, Chengyue Wang, Bonan Wang, Hanlin Kong, Yanchen Guan, Guofa Li, Zhiyong Cui, Chengzhong Xu

CoRR, 2024

TPLLM: A Traffic Prediction Framework Based on Pretrained Large Language Models.

Yilong Ren, Yue Chen, Shuai Liu, Boyue Wang, Haiyang Yu, Zhiyong Cui

CoRR, 2024

Inferring Heterogeneous Treatment Effects of Crashes on Highway Traffic: A Doubly Robust Causal Machine Learning Approach.

Shuang Li, Ziyuan Pu, Zhiyong Cui, Seunghyeon Lee, Xiucheng Guo, Dong Ngoduy

CoRR, 2024

AccidentGPT: A V2X Environmental Perception Multi-modal Large Model for Accident Analysis and Prevention.

Lening Wang, Yilong Ren, Han Jiang, Pinlong Cai, Daocheng Fu, Tianqi Wang, Zhiyong Cui, Haiyang Yu, Xuesong Wang, Hanchu Zhou, Helai Huang, Yinhai Wang

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

A Cognitive-Driven Trajectory Prediction Model for Autonomous Driving in Mixed Autonomy Environments.

Haicheng Liao, Zhenning Li, Chengyue Wang, Bonan Wang, Hanlin Kong, Yanchen Guan, Guofa Li, Zhiyong Cui

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction.

Haicheng Liao, Yongkang Li, Zhenning Li, Chengyue Wang, Guofa Li, Chunlin Tian, Zilin Bian, Kaiqun Zhu, Zhiyong Cui, Jia Hu

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

Bandit-based data poisoning attack against federated learning for autonomous driving models.

Shuo Wang, Qianmu Li, Zhiyong Cui, Jun Hou, Chanying Huang

Expert Syst. Appl., October, 2023

Lightweight Edge Intelligence Empowered Near-Crash Detection Towards Real-Time Vehicle Event Logging.

Ruimin Ke, Zhiyong Cui, Yanlong Chen, Meixin Zhu, Hao (Frank) Yang, Yifan Zhuang, Yinhai Wang

IEEE Trans. Intell. Veh., April, 2023

Distributed Multiagent Deep Reinforcement Learning for Multiline Dynamic Bus Timetable Optimization.

Haoyang Yan, Zhiyong Cui, Xinqiang Chen, Xiaolei Ma

IEEE Trans. Ind. Informatics, 2023

AccidentGPT: Accident Analysis and Prevention from V2X Environmental Perception with Multi-modal Large Model.

Lening Wang, Yilong Ren, Han Jiang, Pinlong Cai, Daocheng Fu, Tianqi Wang, Zhiyong Cui, Haiyang Yu, Xuesong Wang, Hanchu Zhou, Helai Huang, Yinhai Wang

CoRR, 2023

2022

Road surface friction prediction using long short-term memory neural network based on historical data.

Ziyuan Pu, Chenglong Liu, Xianming Shi, Zhiyong Cui, Yinhai Wang

J. Intell. Transp. Syst., 2022

Multimodal Traffic Speed Monitoring: A Real-Time System Based on Passive Wi-Fi and Bluetooth Sensing Technology.

Ziyuan Pu, Zhiyong Cui, Jinjun Tang, Shuo Wang, Yinhai Wang

IEEE Internet Things J., 2022

Toward a real-time Smart Parking Data Management and Prediction (SPDMP) system by attributes representation learning.

Hao (Frank) Yang, Ruimin Ke, Zhiyong Cui, Yinhai Wang, Karthik Murthy

Int. J. Intell. Syst., 2022

Traffic-Twitter Transformer: A Nature Language Processing-joined Framework For Network-wide Traffic Forecasting.

Meng-Ju Tsai, Zhiyong Cui, Hao (Frank) Yang, Yinhai Wang

CoRR, 2022

Reinforcement Learning for Curbside Space Management with Infrastructure Autonomy and Mixed Vehicle Connectivity.

Shuyi Yin, Zhiyong Cui, Yinhai Wang

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

An Incremental Learning-based Framework for Non-stationary Traffic Representations Clustering and Forecasting.

Meng-Ju Tsai, Zhiyong Cui, Chenxi Liu, Hao Yang, Yinhai Wang

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

Unveiling the Influential Factors for Public Transportation Incentives Using Adaptive Stacking Extreme Gradient Boosting.

Yujie Li, Haoyang Yan, Zhiyong Cui, Xiaolei Ma

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

STFL: Spatio-temporal Federated Learning for Vehicle Trajectory Prediction.

Xuehan Zhou, Ruimin Ke, Zhiyong Cui, Qiang Liu, Wenxing Qian

Proceedings of the IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, 2022

2021

Deep Learning Architecture for Short-Term Passenger Flow Forecasting in Urban Rail Transit.

Jinlei Zhang, Feng Chen, Zhiyong Cui, Yinan Guo, Yadi Zhu

IEEE Trans. Intell. Transp. Syst., 2021

Forecasting Transportation Network Speed Using Deep Capsule Networks With Nested LSTM Models.

Xiaolei Ma, Houyue Zhong, Yi Li, Junyan Ma, Zhiyong Cui, Yinhai Wang

IEEE Trans. Intell. Transp. Syst., 2021

Monitoring Public Transit Ridership Flow by Passively Sensing Wi-Fi and Bluetooth Mobile Devices.

Ziyuan Pu, Meixin Zhu, Wenxiang Li, Zhiyong Cui, Xiaoyu Guo, Yinhai Wang

IEEE Internet Things J., 2021

Multivariate Long And Short Term LSTM-Based Network for Traffic Forecasting Under Interference: Experiments During COVID-19.

Meng-Ju Tsai, Hsiu-Yuan Chen, Zhiyong Cui, Yinhai Wang

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

2020

Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting.

Zhiyong Cui, Kristian Henrickson, Ruimin Ke, Yinhai Wang

IEEE Trans. Intell. Transp. Syst., 2020

IoT System for Real-Time Near-Crash Detection for Automated Vehicle Testing.

Ruimin Ke, Zhiyong Cui, Yanlong Chen, Meixin Zhu, Yinhai Wang

CoRR, 2020

Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network for Forecasting Network-wide Traffic State with Missing Values.

Zhiyong Cui, Ruimin Ke, Ziyuan Pu, Yinhai Wang

CoRR, 2020

Attention-Enabled Network-level Traffic Speed Prediction.

Shuyi Yin, Jiahui Wang, Zhiyong Cui, Yinhai Wang

Proceedings of the IEEE International Smart Cities Conference, 2020

2019

Graph Markov Network for Traffic Forecasting with Missing Data.

Zhiyong Cui, Longfei Lin, Ziyuan Pu, Yinhai Wang

CoRR, 2019

Traffic Sign Detection and Recognition for Autonomous Driving in Virtual Simulation Environment.

Meixin Zhu, Jingyun Hu, Ziyuan Pu, Zhiyong Cui, Liangwu Yan, Yinhai Wang

CoRR, 2019

Road Surface Friction Prediction Using Long Short-Term Memory Neural Network Based on Historical Data.

Ziyuan Pu, Shuo Wang, Chenglong Liu, Zhiyong Cui, Yinhai Wang

CoRR, 2019

Mining Public Transit Ridership Flow and Origin-Destination Information from Wi-Fi and Bluetooth Sensing Data.

Ziyuan Pu, Meixin Zhu, Zhiyong Cui, Yinhai Wang

CoRR, 2019

Time-Aware Gated Recurrent Unit Networks for Road Surface Friction Prediction Using Historical Data.

Ziyuan Pu, Zhiyong Cui, Shuo Wang, Qianmu Li, Yinhai Wang

CoRR, 2019

Two-Stream Multi-Channel Convolutional Neural Network (TM-CNN) for Multi-Lane Traffic Speed Prediction Considering Traffic Volume Impact.

Ruimin Ke, Wan Li, Zhiyong Cui, Yinhai Wang

CoRR, 2019

2018

Forecasting Transportation Network Speed Using Deep Capsule Networks with Nested LSTM Models.

Xiaolei Ma, Yi Li, Zhiyong Cui, Yinhai Wang

CoRR, 2018

High-Order Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting.

Zhiyong Cui, Kristian Henrickson, Ruimin Ke, Yinhai Wang

CoRR, 2018

Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction.

Zhiyong Cui, Ruimin Ke, Yinhai Wang

CoRR, 2018

2017

Real-Time Bidirectional Traffic Flow Parameter Estimation From Aerial Videos.

Ruimin Ke, Zhibin Li, Sung Kim, John Ash, Zhiyong Cui, Yinhai Wang

IEEE Trans. Intell. Transp. Syst., 2017

2016

Transformed periodic orbit mechanism of low frequency oscillations in power systems.

Gang Wang, Chen Shen, Lijun Fu, Zhiyong Cui, Zhihao Ye

Int. J. Circuit Theory Appl., 2016

New progress of DRIVE Net: An E-science transportation platform for data sharing, visualization, modeling, and analysis.

Zhiyong Cui, Shen Zhang, Kristian C. Henrickson, Yinhai Wang

Proceedings of the IEEE International Smart Cities Conference, 2016

2015

Perspectives on Stability and Mobility of Passenger's Travel Behavior through Smart Card Data.

Zhiyong Cui, Ying Long

CoRR, 2015

Predictive Traffic Assignment: A New Method and System for Optimal Balancing of Road Traffic.

Yan Gao, Kishore Swaminathan, Zhiyong Cui, Lu Su

Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

A Vision-Based Hierarchical Framework for Autonomous Front-Vehicle Taillights Detection and Signal Recognition.

Zhiyong Cui, Shao-Wen Yang, Hsin-Mu Tsai

Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

Characterizing evolution of extreme public transit behavior using smart card data.

Zhiyong Cui, Ying Long, Ruimin Ke, Yinhai Wang

Proceedings of the IEEE First International Smart Cities Conference, 2015

2014

Characterizing channel fading in vehicular visible light communications with video data.

Zhiyong Cui, Chenqi Wang, Hsin-Mu Tsai

Proceedings of the 2014 IEEE Vehicular Networking Conference, 2014

On addressing driving inattentiveness: Robust rear light status classification using Hierarchical Matching Pursuit.

Zhiyong Cui, Shao-Wen Yang, Chenqi Wang, Hsin-Mu Tsai

Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

2009

Synchronization and Circuit Experiment Simulation of Chaotic Time-delay Systems.

Xiao-hong Zhang, Zhiyong Cui, Yuanyuan Zhu

Proceedings of the 2009 Pacific-Asia Conference on Circuits, Communications and Systems, 2009