Wei Quan

Wei Quan,  Ph.D.  

Depart. of EIE

Beijing Jiaotong University

Address: Jiaotong University East Road, Beijing Jiaotong University, Beijing, 100044 China

Tel: +86 010-5168-8744
Email: : weiquan@bjtu.edu.cn

NEWS

BRIEF BIOGRAPHY

Dr. Wei Quan (Member, IEEE) received his Ph.D degree in Communication and Information System from Beijing University of Posts and Telecommunications (BUPT), Beijing, China in 2014. He currently is a Full Professor at School of Electronic and Information Engineering, Beijing Jiaotong University (BJTU). Commencing from Sep. 2017 to Sep. 2018, he is a Visiting Scientist at BBCR Lab, Department of ECE, University of Waterloo, Canada, supervised by Prof. Xuemin (Sherman) Shen.
  His research interests include key technologies for network analytics, transmission and networking protocols, industrial IoT, and vehicular networks. He has published more than 100 papers in prestigious international journals and conferences including IEEE JSAC, IEEE Communications Magazine, IEEE Wireless Communications, IEEE Network, IEEE Internet of Things Journal, IEEE Transactions on Vehicular Technology, IEEE Wireless Communications Letters, IEEE Communications Letters, IFIP Networking, IEEE ICC, IEEE GLOBECOM. He serves as Associate Editor of IEEE Transactions on Vehicular Technology, Peer-to-Peer Networking and Applications, IEEE ACCESS (IEEE Vehicular Technology Society Section), IET Networks. He also serves as technical reviewers for many important international journals, including IEEE Wireless Communications, IEEE Internet of Things Journal, IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Computers and so on. He is also the TPC Member of IEEE GLOBECOM (2018, 2021, 2022, 2023), IEEE ICC (2017, 2018, 2019, 2022), IEEE INFOCOM 2020 New IP, ACM MOBIMEDIA (2015, 2016, 2017) and IEEE CCIS (2015, 2016).

  He is a winner of Excellent Young Scholar of NSFC, a winner of 2022 IEEE ComSoc Asia-Pacific Outstanding Young Researcher Award, a Chief Young Scientist of National Key Research and Development Program of China, and the winners of five Best Paper Awards. He is a Senior Member of IEEE and CIC (China Institute of Communications).

SELECTED PUBLICATIONS [FULL LIST]

Book/Book Chapter

  1. Hongke Zhang, Wei Su, Wei Quan, "Smart Collaborative Identifier Network: A Promising Design of Future Internet", Springer, ISBN 978-3-662-49141-6, 2016.

Standards & Drafts & Technical White Papers

  1. Wei Quan, et al., “ IOAM network awareness for Low Latency, Low Loss, and Scalable Throughput (L4S),”IETF, Draft-quan-l4s-ioam-00, 2024-03.

Selected Journal & Conference Papers

  1. J. He, N. Cheng, Z. Yin, C. Zhou, H. Zho, Wei Quan, et al., “ Service-Oriented Network Resource Orchestration in Space-Air-Ground Integrated Network, ” IEEE Transactions on Vehicular Technology , vol. 73, no. 1, pp. 1162-1174, Jan. 2024.
  2. Z. Xu, Wei Quan, et al., “ DOFMS: DRL-based Out-of-order Friendly Multipath Scheduling in Mobile Heterogeneous Networks, ” IEEE Transactions on Mobile Computing , doi: 10.1109/TMC.2023.3346480.
  3. H. Yang, N. Cheng, R. Sun, Wei Quan, et al. “ Knowledge-driven resource allocation for d2d networks: A wmmse unrolled graph neural network approach, ” arXiv preprint , arXiv:2307.05882, 2023.
  4. K. Liu, Wei Quan, et al., “ Deadline-Constrained Multi-Agent Collaborative Transmission for Delay-Sensitive Applications, ” IEEE Transactions on Cognitive Communications and Networking , vol. 9, no. 5, pp. 1370-1384, Oct. 2023.
  5. K. Liu, Wei Quan, et al., “ Reliable PPO-Based Concurrent Multipath Transfer for Time-Sensitive Applications, ” IEEE Transactions on Vehicular Technology , vol. 72, no. 10, pp. 13575-13590, Oct. 2023
  6. Wei Quan et al., “ AI-driven Packet Forwarding with Programmable Data Plane: A Survey, ” IEEE Communications Surveys & Tutorials , vol. 25, no. 1, pp. 762-790, Firstquarter 2023.
  7. X. Li, M. Liu; N. Cheng; K. Liu; Wei Quan, et al., “ RPQ: Resilient-Priority Queue Scheduling for Delay-Sensitive Applications, ” 2022 IEEE 23rd International Conference on High Performance Switching and Routing (HPSR) , Taicang, Jiangsu, China, pp. 53-58, 2022.
  8. Wei Quan et al., “ Cybertwin-driven adaptive transmission scheduling for software defined vehicular networks, ” IEEE Transactions on Vehicular Technology , vol. 71, no. 5, pp. 4607-4619, May 2022.
  9. C. Yu, Wei Quan, et al., “ Reliable Cybertwin-Driven Concurrent Multipath Transfer With Deep Reinforcement Learning, ” IEEE Internet of Things Journal , vol. 8, no. 22, pp. 16207-16218, 15 Nov.15, 2021.
  10. G. Liu, Wei Quan et al., “ Softwarized IoT Network Immunity Against Eavesdropping With Programmable Data Planes, ” IEEE Internet of Things Journal , vol. 8, no. 8, pp. 6578-6590, 15 April15, 2021.
  11. W. Zhang, D. Yang, H. Peng, W. Wu; Wei Quan, et al., “ Deep Reinforcement Learning Based Resource Management for DNN Inference in Industrial IoT, ” IEEE Transactions on Vehicular Technology , vol. 70, no. 8, pp. 7605-7618, Aug. 2021.
  12. M. Zhang, Y. Zhou, Wei Quan, et al., “ Online Learning for IoT Optimization: A Frank-Wolfe Adam based Algorithm, ” IEEE Internet of Things Journal , vol. 7, no. 9, pp. 8228-8237, Sept. 2020.
  13. G. Liu, Wei Quan et al., “ VLI: Variable-Length Identifier for Interconnecting Heterogeneous IoT Networks, ” IEEE Wireless Communications Letters , vol. 9, no. 8, pp. 1146-1149, Aug. 2020.
  14. N. Cheng, Wei Quan, et al., “ A Comprehensive Simulation Platform for Space-Air-Ground Integrated Network, ” IEEE Wireless Communications , vol. 27, no. 1, pp. 178-185, February 2020.
  15. J. Chen, Q. Ye, Wei Quan, et al., “ SDATP: An SDN-based traffic-adaptive and service-oriented transmission protocol, ” IEEE Transactions on Cognitive Communications and Networking , vol. 6, no. 2, pp. 756-770, June 2020.
  16. K. Wang, Wei Quan, et al., “ Betweenness Centrality Based Software Defined Routing: Observation from Practical Internet Datasets, ” ACM Transactions on Internet Technology (TOIT) , 19(4): 1-19, 2019.
  17. N. Cheng, F. Lyu, Wei Quan, et al., “ Space/Aerial-Assisted Computing Offloading for IoT Applications: A Learning-based Approach, ” IEEE Journal on Selected Areas in Communications , vol. 37, no. 5, pp. 1117-1129, May 2019.
  18. G. Liu, Wei Quan, et al., “ Efficient DDoS Attacks Mitigation for Stateful Forwarding in Internet of Things, ” Journal of Network and Computer Applications , vol. 130, pp.1-13, Mar. 2019.
  19. Wei Quan et al., “ Adaptive Transmission Control for Software Defined Vehicular Networks, ” IEEE Wireless Communications Letters , vol. 8, no. 3, pp. 653-656, June 2019.
  20. Wei Quan et al., “ Multi-source Collaborative Transmission Control Mechanism, ” ACTA ELECTONICA SINICA , 46(10): 2527, 2018.
  21. S. Zhang, Wei Quan, et al., “ Air-Ground Integrated Vehicular Network Slicing with Content Pushing and Caching, ” IEEE Journal on Selected Areas in Communications , vol. 36, no. 9, pp. 2114-2127, Sept. 2018.
  22. Y. Liu, Wei Quan, et al., “ Delay-Constrained Utility Maximization for Video Ads Push in Mobile Opportunistic D2D Networks, ” IEEE Internet of Things Journal , vol. 5, no. 5, pp. 4088-4099, Oct. 2018.
  23. K. Wang, H. Yin, Wei Quan, et al., “ Enabling Collaborative Edge Computing for Software Defined Vehicular Networks, ” IEEE Network , vol. 32, no. 5, pp. 112-117, September/October 2018, doi: 10.1109/MNET.2018.
  24. C. Xu, Wei Quan, et al., “ GrIMS: Green Information-centric Multimedia Streaming Framework in Vehicular Ad Hoc Networks, ” IEEE Transactions on Circuits and Systems for Video Technology , vol. 28, no. 2, pp. 483-498, Feb. 2018.
  25. Wei Quan et al., “ Enhancing Crowd Collaborations for Software Defined Vehicular Networks, ” IEEE Communications Magazine , vol. 55, no. 8, pp. 80-86, Aug. 2017.
  26. Wei Quan et al., “ Future Internet Architecture: Research Status, Hot Topics and Development Practice, ” Scientia Sinica Informationis , vol. 47, no. 6, pp. 804-810, June 2017.
  27. C. Xu, Wei Quan, et al., “ Information-centric cost-efficient optimization for multimedia content delivery in mobile vehicular networks, ” Computer Communications , vol. 99, pp. 93-106, Feb. 2017.
  28. H. Zhang, Wei Quan, et al., “ Link State Prediction-Based Reliable Transmission for High-Speed Railway Networks, ” IEEE Transactions on Vehicular Technology , vol. 65, no. 12, pp. 9617-9629, Dec. 2016.
  29. H. Zhang, Wei Quan, et al., “ Smart identifier network: A collaborative architecture for the future internet ” IEEE Network , vol. 30, no. 3, pp. 46-51, May-June 2016.

HONORS & AWARDS

PROFESSIONAL ACTIVITIES

Last Updated: 2024-03-06