Quan Yuan

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 56

Top Topics

Object Detection

Reinforcement Learning

Top Venues

IEEE Internet Things J.

IEEE Trans. Veh. Technol.

Publications

Guiyang Luo, Chongzhang Shao, Nan Cheng, Haibo Zhou, Hui Zhang, Quan Yuan, Jinglin Li
EdgeCooper: Network-Aware Cooperative LiDAR Perception for Enhanced Vehicular Awareness. IEEE J. Sel. Areas Commun. 42 (1) (2024)
Guiyang Luo, Hui Zhang, Quan Yuan, Jinglin Li, Wendong Wang, Fei-Yue Wang
One Size Fits All: A Unified Traffic Predictor for Capturing the Essential Spatial-Temporal Dependency. IEEE Trans. Neural Networks Learn. Syst. 35 (8) (2024)
Xiaoyuan Fu, Quan Yuan, Zirui Zhuang, Yang Li, Jianxin Liao, Dongmei Zhao
TacNet: A Tactic-Interactive Resource Allocation Method for Vehicular Networks. IEEE Internet Things J. 11 (8) (2024)
Yilin Liu, Guiyang Luo, Quan Yuan, Jinglin Li, Lei Jin, Bo Chen, Rui Pan
GPLight: Grouped Multi-agent Reinforcement Learning for Large-scale Traffic Signal Control. IJCAI (2023)
Ziyue Chen, Guiyang Luo, Congzhang Shao, Quan Yuan, Jinglin Li
BlindSpotEliminator: Collaborative Point Cloud Perception in Cellular-V2X Networks. SMC (2023)
Guiyang Luo, Yantao Wang, Hui Zhang, Quan Yuan, Jinglin Li
AlphaRoute: Large-Scale Coordinated Route Planning via Monte Carlo Tree Search. AAAI (2023)
Guiyang Luo, Hui Zhang, Quan Yuan, Jinglin Li, Fei-Yue Wang
ClusterST: Clustering Spatial-Temporal Network for Traffic Forecasting. IEEE Trans. Intell. Transp. Syst. 24 (1) (2023)
Guanlue Li, Guiyang Luo, Quan Yuan, Jinglin Li
Trajectory Prediction with Heterogeneous Graph Neural Network. PRICAI (2) (2022)
Shifan Liu, Quan Yuan, Bo Chen, Guiyang Luo, Jinglin Li
Cooperative Multi-agent Reinforcement Learning with Hierachical Communication Architecture. ICANN (2) (2022)
Guiyang Luo, Hui Zhang, Xiao Wang, Quan Yuan, Jinglin Li, Fei-Yue Wang
ACP Based Large-Scale Coordinated Route Planning: From Perspective of Cyber-Physical-Social Systems. ITSC (2022)
Guiyang Luo, Hui Zhang, Quan Yuan, Jinglin Li, Fei-Yue Wang
ESTNet: Embedded Spatial-Temporal Network for Modeling Traffic Flow Dynamics. IEEE Trans. Intell. Transp. Syst. 23 (10) (2022)
Guiyang Luo, Quan Yuan, Jinglin Li, Shangguang Wang, Fangchun Yang
Artificial Intelligence Powered Mobile Networks: From Cognition to Decision. IEEE Netw. 36 (3) (2022)
Jie Wang, Guiyang Luo, Quan Yuan, Jinglin Li
F-Transformer: Point Cloud Fusion Transformer for Cooperative 3D Object Detection. ICANN (1) (2022)
Quan Yuan, Katsuya Suto, Haibo Zhou, Mehrdad Dianati, Jelena V. Misic
Guest Editorial Introduction to the Special Section on Cybertwin-Driven 6G for V2X Applications. IEEE Trans. Veh. Technol. 71 (5) (2022)
Guiyang Luo, Hui Zhang, Quan Yuan, Jinglin Li
Complementarity-Enhanced and Redundancy-Minimized Collaboration Network for Multi-agent Perception. ACM Multimedia (2022)
Guiyang Luo, Quan Yuan, Jinglin Li, Shangguang Wang, Fangchun Yang
Artificial Intelligence Powered Mobile Networks: From Cognition to Decision. CoRR (2021)
Ziyan Li, Quan Yuan, Guiyang Luo, Jinglin Li
Learning Effective Multi-Vehicle Cooperation at Unsignalized Intersection via Bandwidth-Constrained Communication. VTC Fall (2021)
Yaqing Xue, Guiyang Luo, Quan Yuan, Jinglin Li, Fangchun Yang
ST-Tracking: Spatial-temporal Graph Convolution Neural Network for Multi-object Tracking. ITSC (2021)
Zhaoxin Meng, Guiyang Luo, Quan Yuan, Jinglin Li, Fangchun Yang
MF-Net: Meta Fusion Network for 3D object detection. IJCNN (2021)
Guiyang Luo, Haibo Zhou, Nan Cheng, Quan Yuan, Jinglin Li, Fangchun Yang, Xuemin Shen
Software-Defined Cooperative Data Sharing in Edge Computing Assisted 5G-VANET. IEEE Trans. Mob. Comput. 20 (3) (2021)
Xiaoping Wu, Guiyang Luo, Quan Yuan, Jinglin Li, Fangchun Yang
SI-RCNN: A Shape-Invariant Set-Abstraction for 3D Object detection. ITSC (2021)
Haojie Mo, Quan Yuan, Guiyang Luo, Jinglin Li
WR-SRPG: Joint Walking Rhythm and Social Relation-Potential for Pedestrian Trajectory Prediction. ITSC (2021)
Quan Yuan, Miao Wang, Haibo Zhou, Jianbing Ni, Jiacheng Chen, Sandra Céspedes
Guest Editorial Special Issue on Cybertwin-Driven 6G: Architectures, Methods, and Applications. IEEE Internet Things J. 8 (22) (2021)
Bo Qian, Haibo Zhou, Ting Ma, Kai Yu, Quan Yuan, Xuemin Shen
Multi-Operator Spectrum Sharing for Massive IoT Coexisting in 5G/B5G Wireless Networks. IEEE J. Sel. Areas Commun. 39 (3) (2021)
Quan Yuan, Xiaoyuan Fu, Ziyan Li, Guiyang Luo, Jinglin Li, Fangchun Yang
GraphComm: Efficient Graph Convolutional Communication for Multiagent Cooperation. IEEE Internet Things J. 8 (22) (2021)
Fanqi Xu, Jinglin Li, Quan Yuan, Guiyang Luo
A Dual-Attention-Based Neural Network for See-Through Driving Decision. VTC Fall (2020)
Quan Yuan, Jinglin Li, Haibo Zhou, Guiyang Luo, Tao Lin, Fangchun Yang, Xuemin Sherman Shen
Cross-Domain Resource Orchestration for the Edge-Computing-Enabled Smart Road. IEEE Netw. 34 (5) (2020)
Tao Lin, Quan Yuan, Jinglin Li, Shu Yang
A Multi-Timescale Load Balancing Approach in Vehicular Edge Computing. VTC Fall (2020)
Quan Yuan, Jinglin Li, Haibo Zhou, Tao Lin, Guiyang Luo, Xuemin Shen
A Joint Service Migration and Mobility Optimization Approach for Vehicular Edge Computing. IEEE Trans. Veh. Technol. 69 (8) (2020)
Xu Han, Jiawei Lu, Quan Yuan, Jinglin Li
A Hierarchical Traffic-Balanced Route Planning Method for Connected Vehicles. VTC Fall (2020)
Shuyun Ji, Jinglin Li, Quan Yuan, Jiawei Lu
Multi-Range Gated Graph Neural Network for Telecommunication Fraud Detection. IJCNN (2020)
Xiaojuan Wei, Jinglin Li, Quan Yuan, Zhe Zhang, Yangyang Zha, Fangchun Yang
Enabling Self-defined Navigation on Road Graph via Double Rewarded Generalized VIN. HPCC/DSS/SmartCity (2020)
Xiao Wang, Quan Yuan, Zhihan Liu, Yushun Dong, Xiaojuan Wei, Jinglin Li
Learning Route Planning from Experienced Drivers Using Generalized Value Iteration Network. IOV (2019)
Haibo Zhou, Nan Cheng, Jian Wang, Jiacheng Chen, Quan Yuan, Xuemin Shen
Toward Dynamic Link Utilization for Efficient Vehicular Edge Content Distribution. IEEE Trans. Veh. Technol. 68 (9) (2019)
Taiyu Liu, Jinglin Li, Quan Yuan
Predicting Steering for Autonomous Vehicles Based on Crowd Sensing and Deep Learning. IOV (2019)
Haohan Zhang, Jinglin Li, Quan Yuan
Edge Service Migration for Vehicular Networks Based on Multi-agent Deep Reinforcement Learning. IOV (2019)
Xiaojuan Wei, Jinglin Li, Quan Yuan, Xu Han, Fangchun Yang
Learning Navigation via R-VIN on Road Graphs. IJCNN (2019)
Ruowen Gao, Zhihan Liu, Jinglin Li, Quan Yuan
Cooperative Traffic Signal Control Based on Multi-agent Reinforcement Learning. BlockSys (2019)
Jiawei Lu, Jinglin Li, Quan Yuan, Bo Chen
A Multi-Vehicle Cooperative Routing Method Based on Evolutionary Game Theory. ITSC (2019)
Quan Yuan, Haibo Zhou, Zhihan Liu, Jinglin Li, Fangchun Yang, Xuemin Shen
CESense: Cost-Effective Urban Environment Sensing in Vehicular Sensor Networks. IEEE Trans. Intell. Transp. Syst. 20 (9) (2019)
Jinglin Li, Dawei Fu, Quan Yuan, Haohan Zhang, Kaihui Chen, Shu Yang, Fangchun Yang
A Traffic Prediction Enabled Double Rewarded Value Iteration Network for Route Planning. IEEE Trans. Veh. Technol. 68 (5) (2019)
Kaihui Chen, Zhihan Liu, Jinglin Li, Quan Yuan
A Road Traffic Guidance Service Based on Deep Reinforcement Learning. IOV (2019)
Xiaojuan Wei, Jinglin Li, Quan Yuan, Kaihui Chen, Ao Zhou, Fangchun Yang
Predicting Fine-Grained Traffic Conditions via Spatio-Temporal LSTM. Wirel. Commun. Mob. Comput. 2019 (2019)
Jinglin Li, Guiyang Luo, Nan Cheng, Quan Yuan, Zhiheng Wu, Shang Gao, Zhihan Liu
An End-to-End Load Balancer Based on Deep Learning for Vehicular Network Traffic Control. IEEE Internet Things J. 6 (1) (2019)
Bichuan Zhu, Jinglin Li, Quan Yuan, Jiawei Lu, Shu Yang
An Edge-Assisted Vehicle Routing Method Based on Game-Theoretic Multiagent Learning. ICPADS (2019)
Tian Xia, Qibo Sun, Ao Zhou, Shangguang Wang, Shilong Xiong, Siyi Gao, Jinglin Li, Quan Yuan
Improving the Performance of Stock Trend Prediction by Applying GA to Feature Selection. SC² (2018)
Shu Yang, Jinglin Li, Quan Yuan, Zhihan Liu, Fangchun Yang
Message Relaying and Collaboration Motivating for Mobile Crowdsensing Service: An Edge-Assisted Approach. Wirel. Commun. Mob. Comput. 2018 (2018)
Quan Yuan, Haibo Zhou, Jinglin Li, Zhihan Liu, Fangchun Yang, Xuemin Sherman Shen
Toward Efficient Content Delivery for Automated Driving Services: An Edge Computing Solution. IEEE Netw. 32 (1) (2018)
Zexin Yan, Zhihan Liu, Quan Yuan
HESAVE: An Approach for Online Heuristic GPS Trajectory Sampling. IOV (2018)
Guiyang Luo, Jinglin Li, Lin Zhang, Quan Yuan, Zhihan Liu, Fangchun Yang
sdnMAC: A Software-Defined Network Inspired MAC Protocol for Cooperative Safety in VANETs. IEEE Trans. Intell. Transp. Syst. 19 (6) (2018)
Wenlong Zong, Zhihan Liu, Shu Yang, Quan Yuan, Fangchun Yang
Multi-Task Oriented Participant Recruitment for Vehicular Crowdsensing. IOV (2017)
Shu Yang, Jinglin Li, Zhihan Liu, Quan Yuan
Relaying Message and Motivating Collaboration for VANET Data Service. SCC (2017)
Shu Yang, Jinglin Li, Quan Yuan, Zhihan Liu
Route-Oriented Participants Recruitment in Collaborative Crowdsensing. CollaborateCom (2017)
Quan Yuan, Jinglin Li, Zhihan Liu, Fangchun Yang
Space and Time Constrained Data Offloading in Vehicular Networks. HPCC/SmartCity/DSS (2016)
Junming Zhang, Jinglin Li, Zhihan Liu, Quan Yuan, Fangchun Yang
Moving Objects Gathering Patterns Retrieving based on Spatio-Temporal Graph. Int. J. Web Serv. Res. 13 (3) (2016)
Quan Yuan, Zhihan Liu, Jinglin Li, Shu Yang, Fangchun Yang
An Adaptive and Compressive Data Gathering Scheme in Vehicular Sensor Networks. ICPADS (2015)
Junming Zhang, Jinglin Li, Shangguang Wang, Zhihan Liu, Quan Yuan, Fangchun Yang
On Retrieving Moving Objects Gathering Patterns from Trajectory Data via Spatio-temporal Graph. BigData Congress (2014)