Zhiyong Cui

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 47

Top Topics

Public Transportation

Autonomous Driving

Top Venues

IEEE Trans. Intell. Transp. Syst.

Publications

Yilong Ren, Yue Chen, Shuai Liu, Boyue Wang, Haiyang Yu, Zhiyong Cui
TPLLM: A Traffic Prediction Framework Based on Pretrained Large Language Models. CoRR (2024)
Zhengxing Lan, Hongbo Li, Lingshan Liu, Bo Fan, Yisheng Lv, Yilong Ren, Zhiyong Cui
Traj-LLM: A New Exploration for Empowering Trajectory Prediction with Pre-trained Large Language Models. CoRR (2024)
Shuang Li, Ziyuan Pu, Zhiyong Cui, Seunghyeon Lee, Xiucheng Guo, Dong Ngoduy
Inferring Heterogeneous Treatment Effects of Crashes on Highway Traffic: A Doubly Robust Causal Machine Learning Approach. CoRR (2024)
Haicheng Liao, Yongkang Li, Zhenning Li, Chengyue Wang, Zhiyong Cui, Shengbo Eben Li, Chengzhong Xu
A Cognitive-Based Trajectory Prediction Approach for Autonomous Driving. IEEE Trans. Intell. Veh. 9 (4) (2024)
Lening Wang, Wenzhao Zheng, Yilong Ren, Han Jiang, Zhiyong Cui, Haiyang Yu, Jiwen Lu
OccSora: 4D Occupancy Generation Models as World Simulators for Autonomous Driving. CoRR (2024)
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
Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction. CoRR (2024)
Haicheng Liao, Yongkang Li, Zhenning Li, Chengyue Wang, Zhiyong Cui, Shengbo Eben Li, Chengzhong Xu
A Cognitive-Based Trajectory Prediction Approach for Autonomous Driving. CoRR (2024)
Haicheng Liao, Zhenning Li, Chengyue Wang, Bonan Wang, Hanlin Kong, Yanchen Guan, Guofa Li, Zhiyong Cui, Chengzhong Xu
A Cognitive-Driven Trajectory Prediction Model for Autonomous Driving in Mixed Autonomy Environment. CoRR (2024)
Dongbo Zhong, Qi Xi, Faiz Ul Islam, Zhiyong Cui, Yufei Xie
An efficient key tag missing identification protocol for multiple regions in the Industrial Internet of Things. Phys. Commun. 66 (2024)
Kemou Jiang, Xuan Cai, Zhiyong Cui, Aoyong Li, Yilong Ren, Haiyang Yu, Hao Yang, Daocheng Fu, Licheng Wen, Pinlong Cai
KoMA: Knowledge-driven Multi-agent Framework for Autonomous Driving with Large Language Models. CoRR (2024)
Lening Wang, Yilong Ren, Han Jiang, Pinlong Cai, Daocheng Fu, Tianqi Wang, Zhiyong Cui, Haiyang Yu, Xuesong Wang, Hanchu Zhou, Helai Huang, Yinhai Wang
AccidentGPT: A V2X Environmental Perception Multi-modal Large Model for Accident Analysis and Prevention. IV (2024)
Shuo Wang, Qianmu Li, Zhiyong Cui, Jun Hou, Chanying Huang
Bandit-based data poisoning attack against federated learning for autonomous driving models. Expert Syst. Appl. 227 (2023)
Ruimin Ke, Zhiyong Cui, Yanlong Chen, Meixin Zhu, Hao (Frank) Yang, Yifan Zhuang, Yinhai Wang
Lightweight Edge Intelligence Empowered Near-Crash Detection Towards Real-Time Vehicle Event Logging. IEEE Trans. Intell. Veh. 8 (4) (2023)
Lening Wang, Yilong Ren, Han Jiang, Pinlong Cai, Daocheng Fu, Tianqi Wang, Zhiyong Cui, Haiyang Yu, Xuesong Wang, Hanchu Zhou, Helai Huang, Yinhai Wang
AccidentGPT: Accident Analysis and Prevention from V2X Environmental Perception with Multi-modal Large Model. CoRR (2023)
Haoyang Yan, Zhiyong Cui, Xinqiang Chen, Xiaolei Ma
Distributed Multiagent Deep Reinforcement Learning for Multiline Dynamic Bus Timetable Optimization. IEEE Trans. Ind. Informatics 19 (1) (2023)
Ziyuan Pu, Zhiyong Cui, Jinjun Tang, Shuo Wang, Yinhai Wang
Multimodal Traffic Speed Monitoring: A Real-Time System Based on Passive Wi-Fi and Bluetooth Sensing Technology. IEEE Internet Things J. 9 (14) (2022)
Meng-Ju Tsai, Zhiyong Cui, Hao (Frank) Yang, Yinhai Wang
Traffic-Twitter Transformer: A Nature Language Processing-joined Framework For Network-wide Traffic Forecasting. CoRR (2022)
Hao (Frank) Yang, Ruimin Ke, Zhiyong Cui, Yinhai Wang, Karthik Murthy
Toward a real-time Smart Parking Data Management and Prediction (SPDMP) system by attributes representation learning. Int. J. Intell. Syst. 37 (8) (2022)
Ziyuan Pu, Chenglong Liu, Xianming Shi, Zhiyong Cui, Yinhai Wang
Road surface friction prediction using long short-term memory neural network based on historical data. J. Intell. Transp. Syst. 26 (1) (2022)
Meng-Ju Tsai, Zhiyong Cui, Chenxi Liu, Hao Yang, Yinhai Wang
An Incremental Learning-based Framework for Non-stationary Traffic Representations Clustering and Forecasting. ITSC (2022)
Shuyi Yin, Zhiyong Cui, Yinhai Wang
Reinforcement Learning for Curbside Space Management with Infrastructure Autonomy and Mixed Vehicle Connectivity. ITSC (2022)
Xuehan Zhou, Ruimin Ke, Zhiyong Cui, Qiang Liu, Wenxing Qian
STFL: Spatio-temporal Federated Learning for Vehicle Trajectory Prediction. DTPI (2022)
Yujie Li, Haoyang Yan, Zhiyong Cui, Xiaolei Ma
Unveiling the Influential Factors for Public Transportation Incentives Using Adaptive Stacking Extreme Gradient Boosting. ITSC (2022)
Jinlei Zhang, Feng Chen, Zhiyong Cui, Yinan Guo, Yadi Zhu
Deep Learning Architecture for Short-Term Passenger Flow Forecasting in Urban Rail Transit. IEEE Trans. Intell. Transp. Syst. 22 (11) (2021)
Meng-Ju Tsai, Hsiu-Yuan Chen, Zhiyong Cui, Yinhai Wang
Multivariate Long And Short Term LSTM-Based Network for Traffic Forecasting Under Interference: Experiments During COVID-19. ITSC (2021)
Ziyuan Pu, Meixin Zhu, Wenxiang Li, Zhiyong Cui, Xiaoyu Guo, Yinhai Wang
Monitoring Public Transit Ridership Flow by Passively Sensing Wi-Fi and Bluetooth Mobile Devices. IEEE Internet Things J. 8 (1) (2021)
Xiaolei Ma, Houyue Zhong, Yi Li, Junyan Ma, Zhiyong Cui, Yinhai Wang
Forecasting Transportation Network Speed Using Deep Capsule Networks With Nested LSTM Models. IEEE Trans. Intell. Transp. Syst. 22 (8) (2021)
Zhiyong Cui, Ruimin Ke, Ziyuan Pu, Yinhai Wang
Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network for Forecasting Network-wide Traffic State with Missing Values. CoRR (2020)
Shuyi Yin, Jiahui Wang, Zhiyong Cui, Yinhai Wang
Attention-Enabled Network-level Traffic Speed Prediction. ISC2 (2020)
Ruimin Ke, Zhiyong Cui, Yanlong Chen, Meixin Zhu, Yinhai Wang
IoT System for Real-Time Near-Crash Detection for Automated Vehicle Testing. CoRR (2020)
Zhiyong Cui, Kristian Henrickson, Ruimin Ke, Yinhai Wang
Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting. IEEE Trans. Intell. Transp. Syst. 21 (11) (2020)
Zhiyong Cui, Longfei Lin, Ziyuan Pu, Yinhai Wang
Graph Markov Network for Traffic Forecasting with Missing Data. CoRR (2019)
Meixin Zhu, Jingyun Hu, Ziyuan Pu, Zhiyong Cui, Liangwu Yan, Yinhai Wang
Traffic Sign Detection and Recognition for Autonomous Driving in Virtual Simulation Environment. CoRR (2019)
Ziyuan Pu, Meixin Zhu, Zhiyong Cui, Yinhai Wang
Mining Public Transit Ridership Flow and Origin-Destination Information from Wi-Fi and Bluetooth Sensing Data. CoRR (2019)
Ruimin Ke, Wan Li, Zhiyong Cui, Yinhai Wang
Two-Stream Multi-Channel Convolutional Neural Network (TM-CNN) for Multi-Lane Traffic Speed Prediction Considering Traffic Volume Impact. CoRR (2019)
Ziyuan Pu, Shuo Wang, Chenglong Liu, Zhiyong Cui, Yinhai Wang
Road Surface Friction Prediction Using Long Short-Term Memory Neural Network Based on Historical Data. CoRR (2019)
Ziyuan Pu, Zhiyong Cui, Shuo Wang, Qianmu Li, Yinhai Wang
Time-Aware Gated Recurrent Unit Networks for Road Surface Friction Prediction Using Historical Data. CoRR (2019)
Zhiyong Cui, Ruimin Ke, Yinhai Wang
Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction. CoRR (2018)
Xiaolei Ma, Yi Li, Zhiyong Cui, Yinhai Wang
Forecasting Transportation Network Speed Using Deep Capsule Networks with Nested LSTM Models. CoRR (2018)
Zhiyong Cui, Kristian Henrickson, Ruimin Ke, Yinhai Wang
High-Order Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting. CoRR (2018)
Ruimin Ke, Zhibin Li, Sung Kim, John Ash, Zhiyong Cui, Yinhai Wang
Real-Time Bidirectional Traffic Flow Parameter Estimation From Aerial Videos. IEEE Trans. Intell. Transp. Syst. 18 (4) (2017)
Zhiyong Cui, Shen Zhang, Kristian C. Henrickson, Yinhai Wang
New progress of DRIVE Net: An E-science transportation platform for data sharing, visualization, modeling, and analysis. ISC2 (2016)
Gang Wang, Chen Shen, Lijun Fu, Zhiyong Cui, Zhihao Ye
Transformed periodic orbit mechanism of low frequency oscillations in power systems. Int. J. Circuit Theory Appl. 44 (1) (2016)
Zhiyong Cui, Shao-Wen Yang, Hsin-Mu Tsai
A Vision-Based Hierarchical Framework for Autonomous Front-Vehicle Taillights Detection and Signal Recognition. ITSC (2015)
Zhiyong Cui, Ying Long
Perspectives on Stability and Mobility of Passenger's Travel Behavior through Smart Card Data. CoRR (2015)
Yan Gao, Kishore Swaminathan, Zhiyong Cui, Lu Su
Predictive Traffic Assignment: A New Method and System for Optimal Balancing of Road Traffic. ITSC (2015)
Zhiyong Cui, Ying Long, Ruimin Ke, Yinhai Wang
Characterizing evolution of extreme public transit behavior using smart card data. ISC2 (2015)
Zhiyong Cui, Chenqi Wang, Hsin-Mu Tsai
Characterizing channel fading in vehicular visible light communications with video data. VNC (2014)
Zhiyong Cui, Shao-Wen Yang, Chenqi Wang, Hsin-Mu Tsai
On addressing driving inattentiveness: Robust rear light status classification using Hierarchical Matching Pursuit. ITSC (2014)
Xiao-hong Zhang, Zhiyong Cui, Yuanyuan Zhu
Synchronization and Circuit Experiment Simulation of Chaotic Time-delay Systems. PACCS (2009)