Quan Yuan

According to our database, Quan Yuan authored at least 56 papers between 2014 and 2024.

Collaborative distances:

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

2024

TacNet: A Tactic-Interactive Resource Allocation Method for Vehicular Networks.

Xiaoyuan Fu, Quan Yuan, Zirui Zhuang, Yang Li, Jianxin Liao, Dongmei Zhao

IEEE Internet Things J., April, 2024

EdgeCooper: Network-Aware Cooperative LiDAR Perception for Enhanced Vehicular Awareness.

Guiyang Luo, Chongzhang Shao, Nan Cheng, Haibo Zhou, Hui Zhang, Quan Yuan, Jinglin Li

IEEE J. Sel. Areas Commun., January, 2024

2023

ClusterST: Clustering Spatial-Temporal Network for Traffic Forecasting.

Guiyang Luo, Hui Zhang, Quan Yuan, Jinglin Li, Fei-Yue Wang

IEEE Trans. Intell. Transp. Syst., January, 2023

BlindSpotEliminator: Collaborative Point Cloud Perception in Cellular-V2X Networks.

Ziyue Chen, Guiyang Luo, Congzhang Shao, Quan Yuan, Jinglin Li

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

GPLight: Grouped Multi-agent Reinforcement Learning for Large-scale Traffic Signal Control.

Yilin Liu, Guiyang Luo, Quan Yuan, Jinglin Li, Lei Jin, Bo Chen, Rui Pan

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

AlphaRoute: Large-Scale Coordinated Route Planning via Monte Carlo Tree Search.

Guiyang Luo, Yantao Wang, Hui Zhang, Quan Yuan, Jinglin Li

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Guest Editorial Introduction to the Special Section on Cybertwin-Driven 6G for V2X Applications.

Quan Yuan, Katsuya Suto, Haibo Zhou, Mehrdad Dianati, Jelena V. Misic

IEEE Trans. Veh. Technol., 2022

ESTNet: Embedded Spatial-Temporal Network for Modeling Traffic Flow Dynamics.

Guiyang Luo, Hui Zhang, Quan Yuan, Jinglin Li, Fei-Yue Wang

IEEE Trans. Intell. Transp. Syst., 2022

Artificial Intelligence Powered Mobile Networks: From Cognition to Decision.

Guiyang Luo, Quan Yuan, Jinglin Li, Shangguang Wang, Fangchun Yang

IEEE Netw., 2022

Trajectory Prediction with Heterogeneous Graph Neural Network.

Guanlue Li, Guiyang Luo, Quan Yuan, Jinglin Li

Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

Complementarity-Enhanced and Redundancy-Minimized Collaboration Network for Multi-agent Perception.

Guiyang Luo, Hui Zhang, Quan Yuan, Jinglin Li

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

ACP Based Large-Scale Coordinated Route Planning: From Perspective of Cyber-Physical-Social Systems.

Guiyang Luo, Hui Zhang, Xiao Wang, Quan Yuan, Jinglin Li, Fei-Yue Wang

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

F-Transformer: Point Cloud Fusion Transformer for Cooperative 3D Object Detection.

Jie Wang, Guiyang Luo, Quan Yuan, Jinglin Li

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Cooperative Multi-agent Reinforcement Learning with Hierachical Communication Architecture.

Shifan Liu, Quan Yuan, Bo Chen, Guiyang Luo, Jinglin Li

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

2021

Software-Defined Cooperative Data Sharing in Edge Computing Assisted 5G-VANET.

Guiyang Luo, Haibo Zhou, Nan Cheng, Quan Yuan, Jinglin Li, Fangchun Yang, Xuemin Shen

IEEE Trans. Mob. Comput., 2021

Space-air-ground integrated networks for future IoT: Architecture, management, service and performance.

Feng Lyu, Wenchao Xu, Quan Yuan, Katsuya Suto

Peer-to-Peer Netw. Appl., 2021

Multi-Operator Spectrum Sharing for Massive IoT Coexisting in 5G/B5G Wireless Networks.

Bo Qian, Haibo Zhou, Ting Ma, Kai Yu, Quan Yuan, Xuemin Shen

IEEE J. Sel. Areas Commun., 2021

Guest Editorial Special Issue on Cybertwin-Driven 6G: Architectures, Methods, and Applications.

Quan Yuan, Miao Wang, Haibo Zhou, Jianbing Ni, Jiacheng Chen, Sandra Céspedes

IEEE Internet Things J., 2021

GraphComm: Efficient Graph Convolutional Communication for Multiagent Cooperation.

Quan Yuan, Xiaoyuan Fu, Ziyan Li, Guiyang Luo, Jinglin Li, Fangchun Yang

IEEE Internet Things J., 2021

Learning Effective Multi-Vehicle Cooperation at Unsignalized Intersection via Bandwidth-Constrained Communication.

Ziyan Li, Quan Yuan, Guiyang Luo, Jinglin Li

Proceedings of the 94th IEEE Vehicular Technology Conference, 2021

ST-Tracking: Spatial-temporal Graph Convolution Neural Network for Multi-object Tracking.

Yaqing Xue, Guiyang Luo, Quan Yuan, Jinglin Li, Fangchun Yang

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

SI-RCNN: A Shape-Invariant Set-Abstraction for 3D Object detection.

Xiaoping Wu, Guiyang Luo, Quan Yuan, Jinglin Li, Fangchun Yang

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

WR-SRPG: Joint Walking Rhythm and Social Relation-Potential for Pedestrian Trajectory Prediction.

Haojie Mo, Quan Yuan, Guiyang Luo, Jinglin Li

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

MF-Net: Meta Fusion Network for 3D object detection.

Zhaoxin Meng, Guiyang Luo, Quan Yuan, Jinglin Li, Fangchun Yang

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

A Joint Service Migration and Mobility Optimization Approach for Vehicular Edge Computing.

Quan Yuan, Jinglin Li, Haibo Zhou, Tao Lin, Guiyang Luo, Xuemin Shen

IEEE Trans. Veh. Technol., 2020

Cross-Domain Resource Orchestration for the Edge-Computing-Enabled Smart Road.

Quan Yuan, Jinglin Li, Haibo Zhou, Guiyang Luo, Tao Lin, Fangchun Yang, Xuemin Sherman Shen

IEEE Netw., 2020

A Dual-Attention-Based Neural Network for See-Through Driving Decision.

Fanqi Xu, Jinglin Li, Quan Yuan, Guiyang Luo

Proceedings of the 92nd IEEE Vehicular Technology Conference, 2020

A Multi-Timescale Load Balancing Approach in Vehicular Edge Computing.

Tao Lin, Quan Yuan, Jinglin Li, Shu Yang

Proceedings of the 92nd IEEE Vehicular Technology Conference, 2020

A Hierarchical Traffic-Balanced Route Planning Method for Connected Vehicles.

Xu Han, Jiawei Lu, Quan Yuan, Jinglin Li

Proceedings of the 92nd IEEE Vehicular Technology Conference, 2020

Multi-Range Gated Graph Neural Network for Telecommunication Fraud Detection.

Shuyun Ji, Jinglin Li, Quan Yuan, Jiawei Lu

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Enabling Self-defined Navigation on Road Graph via Double Rewarded Generalized VIN.

Xiaojuan Wei, Jinglin Li, Quan Yuan, Zhe Zhang, Yangyang Zha, Fangchun Yang

Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020

2019

Predicting Fine-Grained Traffic Conditions via Spatio-Temporal LSTM.

Xiaojuan Wei, Jinglin Li, Quan Yuan, Kaihui Chen, Ao Zhou, Fangchun Yang

Wirel. Commun. Mob. Comput., 2019

Toward Dynamic Link Utilization for Efficient Vehicular Edge Content Distribution.

Haibo Zhou, Nan Cheng, Jian Wang, Jiacheng Chen, Quan Yuan, Xuemin Shen

IEEE Trans. Veh. Technol., 2019

A Traffic Prediction Enabled Double Rewarded Value Iteration Network for Route Planning.

Jinglin Li, Dawei Fu, Quan Yuan, Haohan Zhang, Kaihui Chen, Shu Yang, Fangchun Yang

IEEE Trans. Veh. Technol., 2019

CESense: Cost-Effective Urban Environment Sensing in Vehicular Sensor Networks.

Quan Yuan, Haibo Zhou, Zhihan Liu, Jinglin Li, Fangchun Yang, Xuemin Shen

IEEE Trans. Intell. Transp. Syst., 2019

An End-to-End Load Balancer Based on Deep Learning for Vehicular Network Traffic Control.

Jinglin Li, Guiyang Luo, Nan Cheng, Quan Yuan, Zhiheng Wu, Shang Gao, Zhihan Liu

IEEE Internet Things J., 2019

A Multi-Vehicle Cooperative Routing Method Based on Evolutionary Game Theory.

Jiawei Lu, Jinglin Li, Quan Yuan, Bo Chen

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Edge Service Migration for Vehicular Networks Based on Multi-agent Deep Reinforcement Learning.

Haohan Zhang, Jinglin Li, Quan Yuan

Proceedings of the Internet of Vehicles. Technologies and Services Toward Smart Cities, 2019

Learning Route Planning from Experienced Drivers Using Generalized Value Iteration Network.

Xiao Wang, Quan Yuan, Zhihan Liu, Yushun Dong, Xiaojuan Wei, Jinglin Li

Proceedings of the Internet of Vehicles. Technologies and Services Toward Smart Cities, 2019

Predicting Steering for Autonomous Vehicles Based on Crowd Sensing and Deep Learning.

Taiyu Liu, Jinglin Li, Quan Yuan

Proceedings of the Internet of Vehicles. Technologies and Services Toward Smart Cities, 2019

A Road Traffic Guidance Service Based on Deep Reinforcement Learning.

Kaihui Chen, Zhihan Liu, Jinglin Li, Quan Yuan

Proceedings of the Internet of Vehicles. Technologies and Services Toward Smart Cities, 2019

Learning Navigation via R-VIN on Road Graphs.

Xiaojuan Wei, Jinglin Li, Quan Yuan, Xu Han, Fangchun Yang

Proceedings of the International Joint Conference on Neural Networks, 2019

An Edge-Assisted Vehicle Routing Method Based on Game-Theoretic Multiagent Learning.

Bichuan Zhu, Jinglin Li, Quan Yuan, Jiawei Lu, Shu Yang

Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019

Cooperative Traffic Signal Control Based on Multi-agent Reinforcement Learning.

Ruowen Gao, Zhihan Liu, Jinglin Li, Quan Yuan

Proceedings of the Blockchain and Trustworthy Systems - First International Conference, 2019

2018

Message Relaying and Collaboration Motivating for Mobile Crowdsensing Service: An Edge-Assisted Approach.

Shu Yang, Jinglin Li, Quan Yuan, Zhihan Liu, Fangchun Yang

Wirel. Commun. Mob. Comput., 2018

sdnMAC: A Software-Defined Network Inspired MAC Protocol for Cooperative Safety in VANETs.

Guiyang Luo, Jinglin Li, Lin Zhang, Quan Yuan, Zhihan Liu, Fangchun Yang

IEEE Trans. Intell. Transp. Syst., 2018

Toward Efficient Content Delivery for Automated Driving Services: An Edge Computing Solution.

Quan Yuan, Haibo Zhou, Jinglin Li, Zhihan Liu, Fangchun Yang, Xuemin Sherman Shen

IEEE Netw., 2018

Improving the Performance of Stock Trend Prediction by Applying GA to Feature Selection.

Tian Xia, Qibo Sun, Ao Zhou, Shangguang Wang, Shilong Xiong, Siyi Gao, Jinglin Li, Quan Yuan

Proceedings of the 8th IEEE International Symposium on Cloud and Service Computing, 2018

HESAVE: An Approach for Online Heuristic GPS Trajectory Sampling.

Zexin Yan, Zhihan Liu, Quan Yuan

Proceedings of the Internet of Vehicles. Technologies and Services Towards Smart City, 2018

2017

Multi-Task Oriented Participant Recruitment for Vehicular Crowdsensing.

Wenlong Zong, Zhihan Liu, Shu Yang, Quan Yuan, Fangchun Yang

Proceedings of the Internet of Vehicles. Technologies and Services for Smart Cities, 2017

Route-Oriented Participants Recruitment in Collaborative Crowdsensing.

Shu Yang, Jinglin Li, Quan Yuan, Zhihan Liu

Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2017

Relaying Message and Motivating Collaboration for VANET Data Service.

Shu Yang, Jinglin Li, Zhihan Liu, Quan Yuan

Proceedings of the 2017 IEEE International Conference on Services Computing, 2017

2016

Moving Objects Gathering Patterns Retrieving based on Spatio-Temporal Graph.

Junming Zhang, Jinglin Li, Zhihan Liu, Quan Yuan, Fangchun Yang

Int. J. Web Serv. Res., 2016

Space and Time Constrained Data Offloading in Vehicular Networks.

Quan Yuan, Jinglin Li, Zhihan Liu, Fangchun Yang

Proceedings of the 18th IEEE International Conference on High Performance Computing and Communications; 14th IEEE International Conference on Smart City; 2nd IEEE International Conference on Data Science and Systems, 2016

2015

An Adaptive and Compressive Data Gathering Scheme in Vehicular Sensor Networks.

Quan Yuan, Zhihan Liu, Jinglin Li, Shu Yang, Fangchun Yang

Proceedings of the 21st IEEE International Conference on Parallel and Distributed Systems, 2015

2014

On Retrieving Moving Objects Gathering Patterns from Trajectory Data via Spatio-temporal Graph.

Junming Zhang, Jinglin Li, Shangguang Wang, Zhihan Liu, Quan Yuan, Fangchun Yang

Proceedings of the 2014 IEEE International Congress on Big Data, Anchorage, AK, USA, June 27, 2014