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Quan Yuan (袁泉)

Quan Yuan






      Associate Professor & Ph.D. Supervisor
      Beijing University of Posts and Telecommunications
      10 Xitucheng Road, Beijing, China
      E-mail: yuanquan AT bupt DOT edu DOT cn


About me

I received Ph.D. degree in computer science and technology from Beijing University of Posts and Telecommunications (BUPT), China. I am currently an associate professor at the State Key Laboratory of Networking and Switching Technology, BUPT. My research interest focuses on cooperative perception, communication and computing for AI-empowered machines (e.g., autonomous vehicles, industrial robots).

Publications

Google Scholar | DBLP

(* = corresponding author, = ESI highly cited paper, = ESI hot paper, = best paper award)

Books

  • 5G-Based Intelligent Driving Technology and Applications // 基于5G的智能驾驶技术与应用 (ISBN 978-7-121-41903-4)
    Quan Yuan, Guiyang Luo, Linglin Li, Ji Tao, Xing Hu, and Xiaolin Jiang
    Electronic Industry Press, Beijing, China, 2021.

  • Flow Data Analysis Techniques // 流数据分析技术 (ISBN 978-7-5635-5915-2)
    Linglin Li, Quan Yuan
    Beijing University of Posts and Telecommunications Press, Beijing, China, 2020.

Journal Articles

  • [IoT-J] TacNet: A Tactic-Interactive Resource Allocation Method for Vehicular Networks (PDF)
    Xiaoyuan Fu, Quan Yuan*, Zirui Zhuang, Yang Li, Jianxin Liao, and Dongmei Zhao
    IEEE Internet of Things Journal, Early Access, pp. 1-12.

  • [TNNLS] One Size Fits All: A Unified Traffic Predictor for Capturing the Essential Spatial-Temporal Dependency (PDF)
    Guiyang Luo, Hui Zhang, Quan Yuan, Jinglin Li, Wendong Wang, and Fei-Yue Wang
    IEEE Transactions on Neural Networks and Learning Systems, Early Access, pp. 1-15.

  • [JSAC] EdgeCooper: Network-Aware Cooperative LiDAR Perception for Enhanced Vehicular Awareness (PDF)
    Guiyang Luo, Congzhang Shao, Nan Cheng, Haibo Zhou, Hui Zhang, Quan Yuan, and Jinglin Li
    IEEE Journal on Selected Areas in Communications, vol. 42, no. 1, pp. 207-222, Jan. 2024.

  • [CC] Communication-Efficient Decision-Making of Digital Twin Assisted Internet of Vehicles: A Hierarchical Multi-Agent Reinforcement Learning Approach (PDF)
    Xiaoyuan Fu, Quan Yuan*, Shifan Liu, Baozhu Li, Qi Qi, and Jingyu Wang
    China Communications, vol. 20, no. 3, pp. 55-68, Mar. 2023.

  • [TITS] ClusterST: Clustering Spatial-Temporal Network for Traffic Forecasting (PDF)
    Guiyang Luo, Hui Zhang, Quan Yuan, Jinglin Li, and Fei-Yue Wang
    IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 1, pp. 706-717, Jan. 2023.

  • [TITS] ESTNet: Embedded Spatial-Temporal Network for Modeling Traffic Flow Dynamics () (PDF)
    Guiyang Luo, Hui Zhang, Quan Yuan, Jinglin Li, and Fei-Yue Wang
    IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 10, pp. 19201-19212, Oct. 2022.

  • [Network] Artificial Intelligence Powered Mobile Networks: From Cognition to Decision () (PDF)
    Guiyang Luo, Quan Yuan*, Jinglin Li, Shangguang Wang, and Fangchun Yang
    IEEE Network, vol. 36, no. 3, pp. 136-144, May/June 2022.

  • [IOT-J] GraphComm: Efficient Graph Convolutional Communication for Multiagent Cooperation (PDF)
    Quan Yuan, Xiaoyuan Fu, Ziyan Li, Guiyang Luo, Jinglin Li, and Fangchun Yang
    IEEE Internet of Things Journal, vol. 8, no. 22, pp. 16359-16369, Nov. 2021.

  • [PPNA] Guest Editorial -- Space-Air-Ground Integrated Networks for Future IoT: Architecture, Management, Service and Performance (PDF)
    Feng Lyu, Wenchao Xu, Quan Yuan, and Katsuya Suto
    Peer-to-Peer Networking and Applications, vol. 14, pp. 3265–3267, May 2021.

  • [CC] Integrated Route Planning and Resource Allocation for Connected Vehicles (PDF)
    Quan Yuan, Bo Chen, Guiyang Luo, Jinglin Li, and Fangchun Yang
    China Communications, vol. 18, no. 3, pp. 226-239, Mar. 2021.

  • [TMC] Software-Defined Cooperative Data Sharing in Edge Computing Assisted 5G-VANET (PDF)
    Guiyang Luo, Haibo Zhou, Nan Cheng, Quan Yuan, Jinglin Li, Fangchun Yang, and Xuemin (Sherman) Shen
    IEEE Transactions on Mobile Computing, vol. 20, no. 3, pp. 1212-1229, Mar. 2021.

  • [Network] Cross-Domain Resource Orchestration for the Edge-Computing-Enabled Smart Road (PDF)
    Quan Yuan, Jinglin Li, Haibo Zhou, Guiyang Luo, Tao Lin, Fangchun Yang, and Xuemin (Sherman) Shen
    IEEE Network, vol. 34, no. 5, pp. 60-67, Sept./Oct. 2020.

  • [TVT] A Joint Service Migration and Mobility Optimization Approach for Vehicular Edge Computing (PDF)
    Quan Yuan, Jinglin Li, Haibo Zhou, Tao Lin, Guiyang Luo, and Xuemin (Sherman) Shen
    IEEE Transactions on Vehicular Technology, vol. 69, no. 8, pp. 9041-9052, Aug. 2020.

  • [TITS] CESense: Cost-Effective Urban Environment Sensing in Vehicular Sensor Networks (PDF)
    Quan Yuan, Haibo Zhou, Zhihan Liu, Jinglin Li, Fangchun Yang, and Xuemin (Sherman) Shen
    IEEE Transactions on Intelligent Transportation Systems, vol. 20, no. 9, pp. 3235-3246, Sept. 2019.

  • [TVT] A Traffic Prediction Enabled Double Rewarded Value Iteration Network for Route Planning (PDF)
    Jinglin Li, Dawei Fu, Quan Yuan*, Haohan Zhang, Kaihui Chen, Shu Yang, and Fangchun Yang
    IEEE Transactions on Vehicular Technology, vol. 68, no. 5, pp. 4170-4181, May 2019.

  • [IOT-J] An End-to-End Load Balancer Based on Deep Learning for Vehicular Network Traffic Control (PDF)
    Jinglin Li, Guiyang Luo, Nan Cheng, Quan Yuan, Zhiheng Wu, Shang Gao, and Zhihan Liu
    IEEE Internet of Things Journal, vol. 6, no. 1, pp. 953-966, Feb. 2019.

  • [WCMC] Predicting Fine-Grained Traffic Conditions via Spatio-Temporal LSTM (PDF)
    Xiaojuan Wei, Jinglin Li, Quan Yuan, Kaihui Chen, Ao Zhou, and Fangchun Yang
    Wireless Communications and Mobile Computing, vol. 2019, Article ID 9242598, 12 pages, Jan. 2019.

  • [CC] Cooperative Vehicular Content Distribution in Edge Computing Assisted 5G-VANET (PDF)
    Guiyang Luo, Quan Yuan, Haibo Zhou, Nan Cheng, Zhihan Liu, Fangchun Yang, and Xuemin (Sherman) Shen
    China Communications, vol. 15, no. 7, pp. 1-17, July 2018.

  • [WCMC] Message Relaying and Collaboration Motivating for Mobile Crowdsensing Service: An Edge-Assisted Approach (PDF)
    Shu Yang, Jinglin Li, Quan Yuan, Zhihan Liu, and Fangchun Yang
    Wireless Communications and Mobile Computing, vol. 2018, Article ID 1287969, 13 pages, July 2018.

  • [TITS] sdnMAC: A Software-Defined Network Inspired MAC Protocol for Cooperative Safety in VANETs (PDF)
    Guiyang Luo, Jinglin Li, Lin Zhang, Quan Yuan, Zhihan Liu, and Fangchun Yang
    IEEE Transactions on Intelligent Transportation Systems, vol. 19, no. 6, pp. 2011-2024, June 2018.

  • [Network] Toward Efficient Content Delivery for Automated Driving Services: An Edge Computing Solution () (PDF)
    Quan Yuan, Haibo Zhou, Jinglin Li, Zhihan Liu, Fangchun Yang, and Xuemin (Sherman) Shen
    IEEE Network, vol. 32, no. 1, pp. 80-86, Jan./Feb. 2018.

  • [CC] Decentralized Mobile SNS Architecture and Its Personal Information Management Mechanism (PDF)
    Zhihan Liu, Quan Yuan, Lu Liu
    China Communications, vol. 13, no. 2, pp. 189-199, Feb. 2016.

  • [IJWSR] Moving Objects Gathering Patterns Retrieving Based on Spatio-Temporal Graph (PDF)
    Junming Zhang, Jinglin Li, Zhihan Liu, Quan Yuan, and Fangchun Yang
    International Journal of Web Services Research, vol.13, no.3, pp.88-107, 2016.

  • [JoS] Mining Moving Object Gathering Pattern Method via Spatio-Temporal Graph (PDF)
    Junming Zhang, Jinglin Li, Shangguang Wang, Zhihan Liu, Quan Yuan, and Fangchun Yang
    Journal of Software, vol. 27, no. 2, pp. 348-362, 2016.

  • [TRC] A Traffic Congestion Detection and Information Dissemination Scheme for Urban Expressways Using Vehicular Networks (PDF)
    Quan Yuan, Zhihan Liu, Jinglin Li, Junming Zhang, and Fangchun Yang
    Transportation Research Part C: Emerging Technologies, Vol. 47(Part 2), pp. 114-127, Oct. 2014.

Conference Papers

  • [ICCT'23] HierCoop: Hierarchical Cooperative Resource Allocation for Vehicular Communications in Heterogeneous Networks (PDF)
    Yixuan Feng, Quan Yuan*, Guiyang Luo, and Jinglin Li
    IEEE International Conference on Communication Technology, Wuxi, China, Oct. 20-22, 2023.

  • [DTPI'23] Practical Collaborative Perception: Design, Implementation, and Evaluation ( Outstanding Student Paper Award) (PDF)
    Jinjiang Wang, Guofeng Ren, Fangbing Zhou, Hui Zhang, Guiyang Luo, Quan Yuan, and Jinglin Li
    IEEE International Conference on Digital Twins and Parallel Intelligence, Macau SARC & Florida USA, Oct. 16 - Nov. 9, 2023.

  • [PRICAI'23] AdaptLight: Toward Cross-Space-Time Collaboration for Adaptive Traffic Signal Control (PDF)
    Xintian Cai, Yilin Liu, Quan Yuan, Guiyang Luo, and Jinglin Li
    Pacific Rim International Conference on Artificial Intelligence, Jakarta, Indonesia, Nov. 17-19, 2023.

  • [SMC'23] BlindSpotEliminator: Collaborative Point Cloud Perception in Cellular-V2X Networks (PDF)
    Ziyue Chen, Guiyang Luo, Congzhang Shao, Quan Yuan, and Jinglin Li
    IEEE Conference on Systems, Man, and Cybernetics, Hyatt Maui, Hawaii, USA, Oct. 1-4, 2023.

  • [SMC'23] MS-Transformer: Masked and Sparse Transformer for Point Cloud Registration (PDF)
    Qingyuan Jia, Guiyang Luo, Quan Yuan, Jinglin Li, Congzhang Shao, and Ziyue Chen
    IEEE Conference on Systems, Man, and Cybernetics, Hyatt Maui, Hawaii, USA, Oct. 1-4, 2023.

  • [IJCAI'23] GPLight: Grouped Multi-Agent Reinforcement Learning for Large-Scale Traffic Signal Control (PDF)
    Yilin Liu, Guiyang Luo, Quan Yuan, Jinglin Li, Lei Jin, Bo Chen, and Rui Pan
    International Joint Conference on Artificial Intelligence, Macao, China, Aug. 19-25, 2023.

  • [AAAI'23] AlphaRoute: Large-Scale Coordinated Route Planning via Monte Carlo Tree Search (PDF)
    Guiyang Luo, Yantao Wang, Hui Zhang, Quan Yuan*, and Jinglin Li
    AAAI Conference on Artificial Intelligence, Washington DC, USA, Feb. 7-14, 2023.

  • [PRICAI'22] Trajectory Prediction with Heterogeneous Graph Neural Network (PDF)
    Guanlue Li, Guiyang Luo, Quan Yuan, and Jinglin Li
    Pacific Rim International Conference on Artificial Intelligence, New York, NY, USA, Nov. 10–13, 2022.

  • [MM'22] Complementarity-Enhanced and Redundancy-Minimized Collaboration Network for Multi-Agent Perception (PDF)
    Guiyang Luo, Hui Zhang, Quan Yuan, and Jinglin Li
    ACM International Conference on Multimedia, New York, NY, USA, Oct. 10-14, 2022.

  • [ITSC'22] ACP Based Large-Scale Coordinated Route Planning: From Perspective of Cyber-Physical-Social Systems ( Best Application Paper Award - 1st Place) (PDF)
    Guiyang Luo, Hui Zhang, Xiao Wang, Quan Yuan, Jinglin Li, and Fei-Yue Wang
    IEEE International Conference on Intelligent Transportation Systems, Macau, China, Oct. 8-12, 2022.

  • [ICANN'22] F-Transformer: Point Cloud Fusion Transformer for Cooperative 3D Object Detection (PDF)
    Jie Wang, Guiyang Luo, Quan Yuan, and Jinglin Li
    International Conference on Artificial Neural Networks, Bristol, UK, Sept. 6–9, 2022.

  • [ICANN'22] Cooperative Multi-Agent Reinforcement Learning with Hierachical Communication Architecture (PDF)
    Shifan Liu, Quan Yuan, Bo Chen, Guiyang Luo, and Jinglin Li
    International Conference on Artificial Neural Networks, Bristol, UK, Sept. 6–9, 2022.

  • [VTC2021-Fall] Learning Effective Multi-Vehicle Cooperation at Unsignalized Intersection via Bandwidth-Constrained Communication (PDF)
    Ziyan Li, Quan Yuan, Guiyang Luo, and Jinglin Li
    IEEE Vehicular Technology Conference, Norman, OK, USA, Sept. 27-30, 2021.

  • [ITSC'21] WR-SRPG: Joint Walking Rhythm and Social Relation-Potential for Pedestrian Trajectory Prediction (PDF)
    Haojie Mo, Quan Yuan, Guiyang Luo, and Jinglin Li
    IEEE International Intelligent Transportation Systems Conference, Indianapolis, IN, USA, Sept. 19-22, 2021.

  • [ITSC'21] SI-RCNN: A Shape-Invariant Set-Abstraction for 3D Object Detection (PDF)
    Xiaoping Wu, Guiyang Luo, Quan Yuan, Jinglin Li, and Fangchun Yang
    IEEE International Intelligent Transportation Systems Conference, Indianapolis, IN, USA, Sept. 19-22, 2021.

  • [ITSC'21] ST-Tracking: Spatial-Temporal Graph Convolution Neural Network for Multi-Object Tracking (PDF)
    Yaqing Xue, Guiyang Luo, Quan Yuan, Jinglin Li, and Fangchun Yang
    IEEE International Intelligent Transportation Systems Conference, Indianapolis, IN, USA, Sept. 19-22, 2021.

  • [IJCNN'21] MF-Net: Meta Fusion Network for 3D Object Detection (PDF)
    Zhaoxin Meng, Guiyang Luo, Quan Yuan, Jinglin Li, and Fangchun Yang
    International Joint Conference on Neural Networks, Shenzhen, China, July 18-22, 2021.

  • [HPCC'20] Enabling Self-Defined Navigation on Road Graph via Double Rewarded Generalized VIN (PDF)
    Xiaojuan Wei, Jinglin Li, Quan Yuan, Zhe Zhang, Yangyang Zha, and Fangchun Yang
    IEEE International Conference on High Performance Computing and Communications, Yanuca Island, Cuvu, Fiji, Dec. 14-16, 2020.

  • [VTC2020-Fall] A Hierarchical Traffic-Balanced Route Planning Method for Connected Vehicles (PDF)
    Xu Han, Jiawei Lu, Quan Yuan, and Jinglin Li
    IEEE Vehicular Technology Conference, Victoria, BC, Canada, Nov. 18 - Dec. 16, 2020.

  • [VTC2020-Fall] A multi-timescale load balancing approach in vehicular edge computing (PDF)
    Tao Lin, Quan Yuan, Jinglin Li, and Shu Yang
    IEEE Vehicular Technology Conference, Victoria, BC, Canada, Nov. 18 - Dec. 16, 2020.

  • [VTC2020-Fall] A Dual-Attention-Based Neural Network for See-Through Driving Decision (PDF)
    Fanqi Xu, Jinglin Li, Quan Yuan, and Guiyang Luo
    IEEE Vehicular Technology Conference, Victoria, BC, Canada, Nov. 18 - Dec. 16, 2020.

  • [SAGC'20] Joint Route Planning and Traffic Signal Timing for Connected Vehicles: An Edge Cloud Enabled Multi-Agent Game Method (PDF)
    Bo Chen, Quan Yuan, Jinglin Li, Jiawei Lu, and Bichuan Zhu
    International Conference on Space-Air-Ground Computing, Beijing, China, Oct. 4-6, 2020.

  • [IJCNN'20] Multi-Range Gated Graph Neural Network for Telecommunication Fraud Detection (PDF)
    Shuyun Ji, Jinglin Li, Quan Yuan, and Jiawei Lu
    International Joint Conference on Neural Networks, Glasgow, UK, July 19-24, 2020.

  • [BlockSys'19] Cooperative Traffic Signal Control Based on Multi-agent Reinforcement Learning (PDF)
    Ruowen Gao, Zhihan Liu, Jinglin Li, and Quan Yuan
    International Conference on Blockchain and Trustworthy Systems, Guangzhou, China, Dec. 7–8, 2019.

  • [ICPADS'19] An Edge-Assisted Vehicle Routing Method Based on Game-Theoretic Multiagent Learning (PDF)
    Bichuan Zhu, Jinglin Li, Quan Yuan, Jiawei Lu, and Shu Yang
    IEEE International Conference on Parallel and Distributed Systems, Tianjin, China, Dec. 4-6, 2019.

  • [IOV'19] Predicting Steering for Autonomous Vehicles Based on Crowd Sensing and Deep Learning (PDF)
    Taiyu Liu, Jinglin Li, and Quan Yuan
    International Conference on Internet of Vehicles, Kaohsiung, Taiwan, Nov. 18–21, 2019.

  • [IOV'19] Edge Service Migration for Vehicular Networks Based on Multi-agent Deep Reinforcement Learning (PDF)
    Haohan Zhang, Jinglin Li, and Quan Yuan
    International Conference on Internet of Vehicles, Kaohsiung, Taiwan, Nov. 18–21, 2019.

  • [IOV'19] A Road Traffic Guidance Service Based on Deep Reinforcement Learning (PDF)
    Kaihui Chen, Zhihan Liu, Jinglin Li, and Quan Yuan
    International Conference on Internet of Vehicles, Kaohsiung, Taiwan, Nov. 18–21, 2019.

  • [IOV'19] Learning Route Planning from Experienced Drivers Using Generalized Value Iteration Network (PDF)
    Xiao Wang, Quan Yuan, Zhihan Liu, Yushun Dong, Xiaojuan Wei, and Jinglin Li
    International Conference on Internet of Vehicles, Kaohsiung, Taiwan, Nov. 18–21, 2019.

  • [ITSC'19] A Multi-Vehicle Cooperative Routing Method Based on Evolutionary Game Theory (PDF)
    Jiawei Lu, Jinglin Li, Quan Yuan, and Bo Chen
    IEEE Intelligent Transportation Systems Conference, Auckland, New Zealand, Oct. 27-30, 2019.

  • [IJCNN'19] Learning Navigation via R-VIN on Road Graphs (PDF)
    Xiaojuan Wei, Jinglin Li, Quan Yuan, Xu Han, and Fangchun Yang
    International Joint Conference on Neural Networks, Budapest, Hungary, July 14-19, 2019.

  • [IOV'18] HESAVE: An Approach for Online Heuristic GPS Trajectory Sampling (PDF)
    Zexin Yan, Zhihan Liu, and Quan Yuan
    International Conference on Internet of Vehicles, Paris, France, Nov. 20–22, 2018.

  • [SC2'18] Improving the Performance of Stock Trend Prediction by Applying GA to Feature Selection (PDF)
    Tian Xia, Qibo Sun, Ao Zhou, Shanguang Wang, Shilong Xiong, Siyi Gao, Jinglin Li, and Quan Yuan
    IEEE International Symposium on Cloud and Service Computing, Paris, France, Nov. 18-21, 2018.

  • [CollaborateCom'17] Route-Oriented Participants Recruitment in Collaborative Crowdsensing (PDF)
    Shu Yang, Jinglin Li, Quan Yuan, and Zhihan Liu
    EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing, Guangzhou, China, Dec. 11–12, 2017.

  • [IOV'17] Multi-Task Oriented Participant Recruitment for Vehicular Crowdsensing (PDF)
    Wenlong Zong, Zhihan Liu, Shu Yang, Quan Yuan, and Fangchun Yang
    International Conference on Internet of Vehicles, Kanazawa, Japan, Nov. 22-25, 2017.

  • [SCC'17] Relaying Message and Motivating Collaboration for VANET Data Service (PDF)
    Shu Yang, Jinglin Li, Zhihan Liu, and Quan Yuan
    IEEE International Conference on Services Computing, Honolulu, HI, USA, June 25-30, 2017.

  • [HPCC'16] Space and Time Constrained Data Offloading in Vehicular Networks (PDF)
    Quan Yuan, Jinglin Li, Zhihan Liu, and Fangchun Yang
    IEEE International Conference on High Performance Computing and Communications, Sydney, NSW, Australia, Dec. 12-14, 2016.

  • [ICPADS'15] An Adaptive and Compressive Data Gathering Scheme in Vehicular Sensor Networks (PDF)
    Quan Yuan, Zhihan Liu, Jinglin Li, Shu Yang, and Fangchun Yang
    IEEE International Conference on Parallel and Distributed Systems, Melbourne, VIC, Australia, Dec. 14-17, 2015.

  • [BigData.Congress'14] On Retrieving Moving Objects Gathering Patterns from Trajectory Data via Spatio-Temporal Graph (PDF)
    Junming Zhang, Jinglin Li, Shangguang Wang, Zhihan Liu, Quan Yuan, and Fangchun Yang
    IEEE International Congress on Big Data, Anchorage, AK, USA, June 27 - July 2, 2014.

  • [ICTIS'13] Traffic Congestion Detection and Notification in the Urban Expressway System Using VANETs (PDF)
    Quan Yuan, Zhihan Liu, and Fangchun Yang
    International Conference on Transportation Information and Safety, Wuhan, Hubei, China, June 28 - July 1, 2013.

Professional Activities

Editorship

Conference TPC Membership

  • Technical program committee member, IEEE ICCT2023, Oct. 20-22, 2023, Wuxi, China.
  • Technical program committee member, IEEE VTC2023-Spring, June 20-23, 2023, Florence, Italy.
  • Technical program committee member, IEEE VTC2022-Spring, June 19-22, 2022, Helsinki, Finland.
  • Technical program committee member, IEEE VTC2020-Fall, Oct. 4-7, 2020, Victoria, British Columbia.

Visiting Scholar

  • Visiting Scholar, worked with Prof. Sherman Shen, University of Waterloo, Canada, 2016-2017.

Honors & Awards

Recognitions

  • Beijing Nova Program (北京市科技新星), 2023.
  • "1551" Talent Program of BUPT (北京邮电大学“1551”人才计划), 2022.
  • Exemplary Reviewer, IEEE Wireless Communications Letters, 2020.

Science & Technology Awards

  • The project "Cognitive Learning Technology of Communication Fraud Behavior and Application of Anti-Fraud System" in which Dr. Yuan participated won the first prize of the 8th Wu Wenjun AI Science and Technology Progress Award (2018).

Best Paper Awards

  • J. Wang, G. Ren, F. Zhou, H. Zhang, G. Luo, Q. Yuan, and J. Li, "Practical Collaborative Perception: Design, Implementation, and Evaluation", IEEE International Conference on Digital Twins and Parallel Intelligence, Macau SARC & Florida USA, Oct. 16 - Nov. 9, 2023. (received the IEEE DTPI'23 Outstanding Student Paper Award)

  • G. Luo, H. Zhang, X. Wang, Q. Yuan, J. Li, and F.-Y. Wang, "ACP Based Large-Scale Coordinated Route Planning: From Perspective of Cyber-Physical-Social Systems", IEEE International Conference on Intelligent Transportation Systems, Macau, China, Oct. 8-12, 2022. (received the IEEE ITSC'22 Best Application Paper Award - 1st Place)

Students

Ph.D. Students

2025: Opportunities are waiting for you.
2024: Coming soon!

Master Students

2025: Opportunities are waiting for you.
2024: Yunqi Ba (巴云琦), Ke Tan (檀可), Ziyuan Li (李子渊), Lifan Yang (杨力凡)
2023: Yang Li (李洋), Xiaolong Feng (冯小龙), Yuchen Xia (夏雨晨), Lan Wei (魏澜)
2022: Yujia Yang (杨雨佳), Manxin Sun (孙满鑫)

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