Yinhai Wang

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All published works

Action	Title	Year	Authors
+ PDF Chat	PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting	2024	Tongtong Zhang Zhiyong Cui Bingzhang Wang Yilong Ren Haiyang Yu Pan Deng Yinhai Wang
+ PDF Chat	EditFollower: Tunable Car Following Models for Customizable Adaptive Cruise Control Systems	2024	Xianda Chen Han Xu Meixin Zhu Xiaowen Chu PakHin Tiu Xinhu Zheng Yinhai Wang
+ PDF Chat	Quantum Computing in Intelligent Transportation Systems: A Survey	2024	Yifan Zhuang Talha Azfar Yinhai Wang Wei Sun Xiaokun Cara Wang Qianwen Vivian Guo Ruimin Ke
+ PDF Chat	Personalized Context-Aware Multi-Modal Transportation Recommendation	2024	Xianda Chen Meixin Zhu P. K. Tiu Yinhai Wang
+ PDF Chat	Quantum Computing in Intelligent Transportation Systems: A Survey	2024	Yifan Zhuang Talha Azfar Yinhai Wang Wei Sun Xiaokun Wang Qianwen Guo Ruimin Ke
+ PDF Chat	Traffic Performance GPT (TP-GPT): Real-Time Data Informed Intelligent ChatBot for Transportation Surveillance and Management	2024	B.Y.Wang B.Y.Wang Zhiyu Cai Muhammad Monjurul Karim Chenxi Liu Yinhai Wang
+ PDF Chat	LC-LLM: Explainable Lane-Change Intention and Trajectory Predictions with Large Language Models	2024	Mingxing Peng Xusen Guo Xianda Chen Meixin Zhu Kehua Chen Yang Hao Yang Xuesong Wang Yinhai Wang
+ PDF Chat	Fusion-GRU: A Deep Learning Model for Future Bounding Box Prediction of Traffic Agents in Risky Driving Videos	2024	Muhammad Monjurul Karim Ruwen Qin Yinhai Wang
+ PDF Chat	Data-Driven Traffic Simulation: A Comprehensive Review	2024	Di Chen Meixin Zhu Hao Yang Xuesong Wang Yinhai Wang
+	Fusion-GRU: A Deep Learning Model for Future Bounding Box Prediction of Traffic Agents in Risky Driving Videos	2023	Muhammad Monjurul Karim Ruwen Qin Yinhai Wang
+	BEVGPT: Generative Pre-trained Large Model for Autonomous Driving Prediction, Decision-Making, and Planning	2023	Pengqin Wang Meixin Zhu Hong-Liang Lü Hui Zhong Xianda Chen Shaojie Shen Xuesong Wang Yinhai Wang
+	Data-driven Traffic Simulation: A Comprehensive Review	2023	Di Chen Meixin Zhu Hao Yang Xuesong Wang Yinhai Wang
+	AccidentGPT: Accident Analysis and Prevention from V2X Environmental Perception with Multi-modal Large Model	2023	Lening Wang Han Jiang Pinlong Cai Daocheng Fu Tianqi Wang Zhiyong Cui Yilong Ren Haiyang Yu Xuesong Wang Yinhai Wang
+ PDF Chat	Traffic Sign Detection and Recognition for Autonomous Driving in Virtual Simulation Environment	2022	Meixin Zhu Hao Yang Zhiyong Cui Yinhai Wang
+ PDF Chat	Transfollower: Long-Sequence Car-Following Trajectory Prediction Through Transformer	2022	Meixin Zhu Simon S. Du Xuesong Wang Hao Yang Ziyuan Pu Yinhai Wang
+	Traffic-Twitter Transformer: A Nature Language Processing-joined Framework For Network-wide Traffic Forecasting	2022	Meng-Ju Tsai Zhiyong Cui Yang Hao Yinhai Wang
+	TransFollower: Long-Sequence Car-Following Trajectory Prediction through Transformer	2022	Meixin Zhu Simon S. Du Xuesong Wang Yang Hao Yang Ziyuan Pu Yinhai Wang
+ PDF Chat	Illumination and Temperature-Aware Multispectral Networks for Edge-Computing-Enabled Pedestrian Detection	2021	Yifan Zhuang Ziyuan Pu Jia Hu Yinhai Wang
+ PDF Chat	Illumination and Temperature-Aware Multispectral Networks for Edge-Computing-Enabled Pedestrian Detection	2021	Yifan Zhuang Ziyuan Pu Jia Hu Yinhai Wang
+	Illumination and Temperature-Aware Multispectral Networks for Edge-Computing-Enabled Pedestrian Detection	2021	Yifan Zhuang Ziyuan Pu Jia Hu Yinhai Wang
+ PDF Chat	Smart City Drivers and Challenges in Urban-Mobility, Health-Care, and Interdependent Infrastructure Systems	2021	Amro F. Farid Joberto S. B. Martins Muhannad Alshareef Parupkar Singh Badhesha Chiara Boccaletti Nélio Cacho Claire-Isabelle Carlier Amy Corriveau Inas S. Khayal Barry Liner
+ PDF Chat	Smart City Drivers and Challenges in Urban-Mobility, Health-Care, and Interdependent Infrastructure Systems	2020	Amro M. Farid Muhannad Alshareef Parupkar Singh Badhesha Chiara Boccaletti Nélio Cacho Claire-Isabelle Carlier Amy Corriveau Inas S. Khayal Barry Liner Joberto S. B. Martins
+	IoT System for Real-Time Near-Crash Detection for Automated Vehicle Testing.	2020	Ruimin Ke Zhiyong Cui Yanlong Chen Meixin Zhu Yinhai Wang
+	CANet: Context Aware Network for 3D Brain Tumor Segmentation.	2020	Zhihua Liu Lei Tong Long Chen Feixiang Zhou Zheheng Jiang Qianni Zhang Yinhai Wang Caifeng Shan Ling Li Huiyu Zhou
+ PDF Chat	Stacked bidirectional and unidirectional LSTM recurrent neural network for forecasting network-wide traffic state with missing values	2020	Zhiyong Cui Ruimin Ke Ziyuan Pu Yinhai Wang
+ PDF Chat	Graph Markov network for traffic forecasting with missing data	2020	Zhiyong Cui Longfei Lin Ziyuan Pu Yinhai Wang
+ PDF Chat	Road surface friction prediction using long short-term memory neural network based on historical data	2020	Ziyuan Pu Chenglong Liu Xianming Shi Zhiyong Cui Yinhai Wang
+ PDF Chat	Safe, efficient, and comfortable velocity control based on reinforcement learning for autonomous driving	2020	Meixin Zhu Yinhai Wang Ziyuan Pu Jingyun Hu Xuesong Wang Ruimin Ke
+ PDF Chat	Forecasting Transportation Network Speed Using Deep Capsule Networks With Nested LSTM Models	2020	Xiaolei Ma Houyue Zhong Yi Li Junyan Ma Zhiyong Cui Yinhai Wang
+ PDF Chat	A Smart, Efficient, and Reliable Parking Surveillance System With Edge Artificial Intelligence on IoT Devices	2020	Ruimin Ke Yifan Zhuang Ziyuan Pu Yinhai Wang
+ PDF Chat	Time‐aware gated recurrent unit networks for forecasting road surface friction using historical data with missing values	2020	Ziyuan Pu Zhiyong Cui Shuo Wang Qianmu Li Yinhai Wang
+	Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network for Forecasting Network-wide Traffic State with Missing Values	2020	Zhiyong Cui Ruimin Ke Ziyuan Pu Yinhai Wang
+	Traffic Performance Score for Measuring the Impact of COVID-19 on Urban Mobility	2020	Zhiyong Cui Meixin Zhu Shuo Wang Pengfei Wang Zhou Yang Qianxia Cao Cole Kopca Yinhai Wang
+	Edge Computing for Real-Time Near-Crash Detection for Smart Transportation Applications	2020	Ruimin Ke Zhiyong Cui Yanlong Chen Meixin Zhu Yang Yinhai Wang
+ PDF Chat	Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting	2019	Zhiyong Cui Kristian Henrickson Ruimin Ke Yinhai Wang
+	Human-Like Autonomous Car-Following Model with Deep Reinforcement Learning	2019	Meixin Zhu Xuesong Wang Yinhai Wang
+	Two-Stream Multi-Channel Convolutional Neural Network (TM-CNN) for Multi-Lane Traffic Speed Prediction Considering Traffic Volume Impact	2019	Ruimin Ke Li Wan Zhiyong Cui Yinhai Wang
+	Personalized Context-Aware Multi-Modal Transportation Recommendation	2019	Meixin Zhu Jingyun Hu Yang Hao Yang Ziyuan Pu Yinhai Wang
+	Mining Public Transit Ridership Flow and Origin-Destination Information from Wi-Fi and Bluetooth Sensing Data	2019	Ziyuan Pu Meixin Zhu Zhiyong Cui Yinhai Wang
+	Graph Markov Network for Traffic Forecasting with Missing Data	2019	Zhiyong Cui Longfei Lin Ziyuan Pu Yinhai Wang
+	Traffic Sign Detection and Recognition for Autonomous Driving in Virtual Simulation Environment	2019	Meixin Zhu Jingyun Hu Ziyuan Pu Zhiyong Cui Liangwu Yan Yinhai Wang
+ PDF Chat	Human-like autonomous car-following model with deep reinforcement learning	2018	Meixin Zhu Xuesong Wang Yinhai Wang
+	Multistep Speed Prediction on Traffic Networks: A Graph Convolutional Sequence-to-Sequence Learning Approach with Attention Mechanism.	2018	Zhengchao Zhang Meng Li Xi Lin Yinhai Wang Fang He
+ PDF Chat	A Deep Generative Adversarial Architecture for Network-Wide Spatial-Temporal Traffic-State Estimation	2018	Yunyi Liang Zhiyong Cui Yu Tian Huimiao Chen Yinhai Wang
+	Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction	2018	Zhiyong Cui Ruimin Ke Yinhai Wang
+	A Deep Generative Adversarial Architecture for Network-Wide Spatial-Temporal Traffic State Estimation	2018	Yunyi Liang Zhiyong Cui Yu Tian Huimiao Chen Yinhai Wang
+	Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting	2018	Zhiyong Cui Kristian Henrickson Ruimin Ke Ziyuan Pu Yinhai Wang
+	Forecasting Transportation Network Speed Using Deep Capsule Networks with Nested LSTM Models	2018	Xiaolei Ma Yi Li Zhiyong Cui Yinhai Wang
+	Multistep Speed Prediction on Traffic Networks: A Graph Convolutional Sequence-to-Sequence Learning Approach with Attention Mechanism	2018	Zhengchao Zhang Meng Li Lin Xi Yinhai Wang Fang He
+	Plug-in Electric Vehicle Charging Congestion Analysis Using Taxi Travel Data in the Central Area of Beijing	2017	Huimiao Chen Hongcai Zhang Zechun Hu Yunyi Liang Haocheng Luo Yinhai Wang
+	Flexible and Robust Method for Missing Loop Detector Data Imputation	2015	Kristian Henrickson Yajie Zou Yinhai Wang

Common Coauthors

Coauthor	Papers Together
Zhiyong Cui	23
Meixin Zhu	18
Ziyuan Pu	17
Ruimin Ke	12
Xuesong Wang	8
Yifan Zhuang	6
Hao	4
Huimiao Chen	3
Muhammad Monjurul Karim	3
Yunyi Liang	3
Kristian Henrickson	3
Jingyun Hu	3
Yanlong Chen	2
Joberto S. B. Martins	2
Amy Corriveau	2
Xiaolei Ma	2
Parupkar Singh Badhesha	2
Simon S. Du	2
Xianda Chen	2
Wester C. H. Schoonenberg	2
Zhengchao Zhang	2
Yang	2
Wei Sun	2
Nélio Cacho	2
Claire-Isabelle Carlier	2
Talha Azfar	2
Meng Li	2
Ruwen Qin	2
Xianda Chen	2
Muhannad Alshareef	2
Barry Liner	2
Rosaldo Rossett	2
Chiara Boccaletti	2
Longfei Lin	2
Inas S. Khayal	2
Farokh Rahimi	2
Yu Tian	2
Ashlynn S. Stillwell	2
Liangwu Yan	1
Lei Tong	1
Pengqin Wang	1
Huiyu Zhou	1
Fang He	1
Fang He	1
Kehua Chen	1
Hao Yang	1
Pinlong Cai	1
Xinhu Zheng	1
Haocheng Luo	1
Amro F. Farid	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction	2017	Xiaolei Ma Zhuang Dai Zhengbing He Jihui Ma Yong Wang Yunpeng Wang	10
+	Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting	2017	Yaguang Li Rose Yu Cyrus Shahabi Yan Liu	8
+ PDF Chat	Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting	2019	Zhiyong Cui Kristian Henrickson Ruimin Ke Yinhai Wang	8
+ PDF Chat	Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks	2017	Haiyang Yu Zhihai Wu Shuqin Wang Yunpeng Wang Xiaolei Ma	8
+	Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction	2018	Zhiyong Cui Ruimin Ke Yinhai Wang	7
+	Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting	2018	Bing Yu Haoteng Yin Zhanxing Zhu	5
+ PDF Chat	Deep learning for short-term traffic flow prediction	2017	Nicholas G. Polson Vadim Sokolov	5
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	5
+ PDF Chat	Recurrent Neural Networks for Multivariate Time Series with Missing Values	2018	Zhengping Che Sanjay Purushotham Kyunghyun Cho David Sontag Yan Liu	5
+	Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering	2016	Michaël Defferrard Xavier Bresson Pierre Vandergheynst	4
+ PDF Chat	Congested traffic states in empirical observations and microscopic simulations	2000	Martin Treiber Ansgar Hennecke Dirk Helbing	4
+ PDF Chat	Human-like autonomous car-following model with deep reinforcement learning	2018	Meixin Zhu Xuesong Wang Yinhai Wang	4
+	A Bayesian tensor decomposition approach for spatiotemporal traffic data imputation	2018	Xinyu Chen Zhaocheng He Lijun Sun	4
+ PDF Chat	A Deep Generative Adversarial Architecture for Network-Wide Spatial-Temporal Traffic-State Estimation	2018	Yunyi Liang Zhiyong Cui Yu Tian Huimiao Chen Yinhai Wang	4
+	Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation	2014	Kyunghyun Cho Bart van Merriënboer Çaǧlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio	4
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	3
+	Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling	2014	Jun‐Young Chung Çaǧlar Gülçehre Kyunghyun Cho Yoshua Bengio	3
+ PDF Chat	LSTM: A Search Space Odyssey	2016	Klaus Greff Rupesh K. Srivastava Jan Koutník Bas R. Steunebrink Jürgen Schmidhuber	3
+	Short-Term Traffic Prediction Based on Dynamic Tensor Completion	2016	Huachun Tan Yuankai Wu Bin Shen Peter J. Jin Bin Ran	3
+ PDF Chat	Modeling car-following behavior on urban expressways in Shanghai: A naturalistic driving study	2018	Meixin Zhu Xuesong Wang Andrew P. Tarko Shouen Fang	3
+	Short-term traffic flow forecasting with spatial-temporal correlation in a hybrid deep learning framework	2016	Yuankai Wu Huachun Tan	3
+ PDF Chat	Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction	2017	Junbo Zhang Yu Zheng Dekang Qi	3
+ PDF Chat	SMOTE: Synthetic Minority Over-sampling Technique	2002	Nitesh V. Chawla Kevin W. Bowyer Lawrence Hall W. Philip Kegelmeyer	2
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	2
+ PDF Chat	Forecasting Transportation Network Speed Using Deep Capsule Networks With Nested LSTM Models	2020	Xiaolei Ma Houyue Zhong Yi Li Junyan Ma Zhiyong Cui Yinhai Wang	2
+	Dynamic Routing Between Capsules	2017	Sara Sabour Nicholas Frosst Geoffrey E. Hinton	2
+	Spectral Networks and Locally Connected Networks on Graphs	2013	Joan Bruna Wojciech Zaremba Arthur Szlam Yann LeCun	2
+ PDF Chat	The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains	2013	David I Shuman Sunil K. Narang Pascal Frossard Antonio Ortega Pierre Vandergheynst	2
+	Prioritized Experience Replay	2015	Tom Schaul John Quan Ioannis Antonoglou David Silver	2
+	Deep Reinforcement Learning in Parameterized Action Space	2015	Matthew Hausknecht Peter Stone	2
+	XGBoost	2016	Tianqi Chen Carlos Guestrin	2
+	Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation	2014	Kyunghyun Cho Bart van Merriënboer Çaǧlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio	2
+	Missing traffic data imputation and pattern discovery with a Bayesian augmented tensor factorization model	2019	Xinyu Chen Zhaocheng He Yixian Chen Yuhuan Lu Jiawei Wang	2
+	Revisiting Semi-Supervised Learning with Graph Embeddings	2016	Zhilin Yang William W. Cohen Ruslan Salakhutdinov	2
+	Stochastic gradient boosting	2002	Jerome H. Friedman	2
+	Forecasting Transportation Network Speed Using Deep Capsule Networks with Nested LSTM Models	2018	Xiaolei Ma Yi Li Zhiyong Cui Yinhai Wang	2
+ PDF Chat	Focal Loss for Dense Object Detection	2017	Tsung-Yi Lin Priya Goyal Ross Girshick Kaiming He Piotr Dollár	2
+	Tensor based missing traffic data completion with spatial–temporal correlation	2015	Bin Ran Huachun Tan Yuankai Wu Peter J. Jin	2
+	Fighting biases with dynamic boosting.	2017	Anna Veronika Dorogush Andrey Gulin Gleb Gusev N. Kazeev Liudmila Prokhorenkova Aleksandr Vorobev	2
+	Spatial-temporal traffic speed patterns discovery and incomplete data recovery via SVD-combined tensor decomposition	2017	Xinyu Chen Zhaocheng He Jiawei Wang	2
+ PDF Chat	Simple online and realtime tracking	2016	Alex Bewley Zongyuan Ge Lionel Ott Fábio Ramos Ben Upcroft	2
+	Orthogonal Eigenvector Matrix of the Laplacian	2015	Xiangrong Wang Piet Van Mieghem	2
+	3D Graph Convolutional Networks with Temporal Graphs: A Spatial Information Free Framework For Traffic Forecasting	2019	Bing Yu Mengzhang Li Jiyong Zhang Zhanxing Zhu	2
+ PDF Chat	Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs	2017	Martin Simonovsky Nikos Komodakis	2
+ PDF Chat	Simple online and realtime tracking with a deep association metric	2017	Nicolai Wojke Alex Bewley Dietrich Paulus	2
+ PDF Chat	Long-Term Mobile Traffic Forecasting Using Deep Spatio-Temporal Neural Networks	2018	Chaoyun Zhang Paul Patras	2
+	The Multidimensional Random Coefficients Multinomial Logit Model	1997	Raymond J. Adams Mark Wilson Wen‐Chung Wang	2
+	Deep Reinforcement Learning: An Overview	2017	Yuxi Li	2
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	2
+	YOLOv3: An Incremental Improvement.	2018	Joseph Redmon Ali Farhadi	2