Assoc. Prof. Celimuge Wu

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Celimuge Wu

Associate Professor, IEEE Senior Member
Department of Computer and Network Engineering
Graduate School of Informatics and Engineering
The University of Electro-Communications
1-5-1, Chofugaoka, Chofu-shi, Tokyo,182-8585 Japan
Tel: 81-42-443-5635
E-Mail: celimuge[at-mark]uec.ac.jp
([at-mark] TO @)

Short Bio

Celimuge Wu received his M.E. degree from Beijing Institute of Technology, Beijing, China, in 2006, and PhD degree from the University of Electro-Communications, Tokyo, Japan, in 2010. He was an assistant professor at the Graduate School of Information Systems, the University of Electro-Communications from 2010, and since November 2015, he has been an associate professor at the same university.

Research interests

Vehicular Networks, Edge Computing, IoT,  Intelligent Transport Systems, Communication Protocols, Big data

Editorship

  • Associate Editor, China Communications, 2020-present
  • Associate Editor, Wireless Networks, 2019-present
  • Associate Editor, IEEE Access, 2019-present
  • Editorial Board, International Journal of Distributed Sensor Networks, 2019-present
  • Associate Editor, MDPI Sensors, 2018-present
  • Associate Editor, IEICE Transactions on Communications, 2017-present
  • Series Editor, Intelligent and Converged Networks Series on “Data Driven Intelligence, Sustainability, and Systems,” Paper submission deadline for the first issue: June 30, 2020
  • Lead Guest Editor, China Communications Feature Topic on “Collaborative Intelligence for Vehicular Internet of Things “, Submission Deadline: October 15, 2020
  • Lead Guest Editor, Sensors Special issue on “Convergence of Intelligent Sensing, Networking, and Computing Technologies for ITS”, Submission Deadline: October 15, 2020
  • Guest Editor, IEEE Transactions on Network Science and Engineering  Special issue on “Intelligence-Empowered Collaboration among Space, Air, Ground, and Sea Mobile Networks towards B5G,” Submission Deadline: 1 August 2020
  • Guest Editor, IEEE Open Journal of the Communications Society Special issue on “Softwarization and Intelligence in Edge Computing, Submission Deadline: June 20, 2020
  • Guest Editor, IEEE Transactions on Intelligent Transportation Systems Special Issue on “Edge Intelligence for Internet of Vehicles”, 2020 (closed)
  • Guest Editor, Sensors Special issue on “Sensor and Communication Systems Enabling Autonomous Vehicles“, 2020
  • Guest Editor, Computing Special Issue on “Intelligence-driven Mobile Networks for Smart Cities”, 2019
  • Guest Editor, International Journal of Distributed Sensor Networks Special Collection on “Intelligent IoT – Artificial Intelligence for Future Internet of Things”, 2019
  • Guest Editor, MDPI Sensors Special Issue on “Sensor and Communication Systems Enabling Autonomous Vehicles”, 2019
  • Lead Guest Editor, IEEE Computational Intelligence Magazine Special Issue on “Computational Intelligence for Internet of Things in the Big Data Era”, 2018
  • Lead Guest Editor,  IEEE Transactions on Emerging Topics in Computational Intelligence Special Issue on “Big Data and Computational Intelligence for Agile Wireless IoT” , 2018
  • Guest Editor, MDPI Sensors  Special Issue “Advances on Vehicular Networks: From Sensing to Autonomous Driving”, 2018
  • Guest Editor, ACM/Springer Mobile Networks & Applications (MONET) Special Issue on Advanced Industrial Networks with IoT and Big Data, 2017

Conference Chairs

Committee Service

Publications (selection)

For full list of publications click here

Journal

  1.  Celimuge Wu, Zhi Liu, Fuqiang Liu, Tsutomu Yoshinaga, Yusheng Ji, and Jie Li, “Collaborative Learning of Communication Routes in Edge-enabled Multi-access Vehicular Environment,” IEEE Transactions on Cognitive Communications and Networking, 2020
  2.  Zhaoyang Du, Celimuge Wu, Tsutomu Yoshinaga, Kok-Lim Alvin Yau, Yusheng Ji, and Jie Li, “Federated Learning for Vehicular Internet of Things: Recent Advances and Open Issues,” IEEE Open Journal of the Computer Society, DOI: 10.1109/OJCS.2020.2992630, 2020.
  3.  Xin Liu, Can Sun, Mu Zhou, Celimuge Wu, Bao Peng, and Panpan Li, “Reinforcement Learning-based Multislot Double-threshold Spectrum Sensing with Bayesian fusion for Industrial Big Spectrum Data,” IEEE Transactions on Industrial Informatics, DOI: 10.1109/TII.2020.2987421, Early Access.
  4. Xiang Zhang, Ce Zhu, Honggang Wu, Min Wu, Celimuge Wu, “Extended motion diffusion based change detection for airport ground surveillance,” IEEE Transactions on Image Processing, vol.29, pp.5677-5686, April 2020.
  5. Su Buda, Siri Guleng, Celimuge Wu, Jiefang Zhang, Kok-Lim Alvin Yau, and Yusheng Ji, “Collaborative Vehicular Edge Computing towards Greener ITS,” IEEE Access, vol.8, pp.63935-63944, April 2020.
  6. Xianfu Chen, Celimuge Wu, Tao Chen, Honggang Zhang, Zhi Liu, Yan Zhang, and Mehdi Bennis, “Age of Information-Aware Radio Resource Management in Vehicular Networks: A Proactive Deep Reinforcement Learning Perspective,” IEEE Transactions on Wireless Communications, Accepted.
  7. XinLiu, HuaDing, XueyanZhang, Panpan Li, Celimuge Wu, “Rate satisfaction-based power allocation for NOMA-based cognitive Internet of Things”, Ad Hoc Networks, vol.98, no.1 March 2020.
  8. Xin Liu, Xiangping Zhai, Weidang Lu, Celimuge Wu, “QoS-guarantee Resource Allocation for Multibeam Satellite Industrial Internet of Things with NOMA”, IEEE Transactions on Industrial Informatics, Accepted.
  9. Najmul Hassan , Kok-Lim Alvin Yau, Celimuge Wu, “Edge Computing in 5G: A Review”, IEEE Access, Accepted.
  10. Xianfu Chen, Zhifeng Zhao, Celimuge Wu, Mehdi Bennis, Hang Liu, Yusheng Ji, Honggang Zhang, “Multi-Tenant Cross-Slice Resource Orchestration: A Deep Reinforcement Learning Approach”, IEEE Journal on Selected Areas in Communications, 2019, Accepted.
  11. James Adu Ansere, Guangjie Han, Hao Wang, Chang Choi, Celimuge Wu, “A Reliable Energy Efficient Dynamic Spectrum Sensing for Cognitive Radio IoT Networks”, IEEE Internet of Things Journal, 2019, Accepted.
  12. Kok-Lim Alvin Yau, Aqeel Raza Syed, Wahidah Hashim, Junaid Qadir, Celimuge Wu, Najmul Hassan, “Maritime Networking: Bringing Internet to the Sea,” IEEE Access, vol. ?, DOI: 10.1109/ACCESS.2019.2909921, pp. 19166-19198, 2019.
  13. Yue Cao, Ning Wang, Celimuge Wu, Xu Zhang and Chakkaphong Suthaputchakun, “Enhancing DASH Video QoE Over High-speed Train Using Segment-based Prefetching and Caching”, IEEE MultiMedia, 2019, Accepted.
  14. Xianfu Chen, Celimuge Wu, Mehdi Bennis, Zhifeng Zhao, Zhu Han, “Learning to Entangle Radio Resources in Vehicular Communications: An Oblivious Game-Theoretic Perspective”, IEEE Transactions on Vehicular Technology, 2019, Accepted.
  15. Celimuge Wu, Xianfu Chen, Tsutomu Yoshinaga, Yusheng Ji, Yan Zhang, “Integrating Licensed and Unlicensed Spectrum in Internet-of-Vehicles with Mobile Edge Computing“, accepted by IEEE Network, 2019.
  16. Jingyun Feng, Zhi Liu, Celimuge Wu, Yusheng Ji, “Mobile Edge Computing for Internet of Vehicles: Offloading Framework and Job Scheduling”, accepted by IEEE Vehicular Technology Magazine, 2018.
  17. Xianfu Chen, Honggang Zhang, Celimuge Wu, Shiwen Mao, Yusheng Ji, Mehdi Bennis, “Optimized Computation Offloading Performance in Virtual Edge Computing Systems via Deep Reinforcement Learning”, accepted by IEEE Internet of Things Journal, 2018.
  18. Celimuge Wu, Tsutomu Yoshinaga, Yusheng Ji, Yan Zhang, “Computational Intelligence Inspired Data Delivery for Vehicle-to-roadside Communications”, accepted by IEEE Transactions on Vehicular Technology, 2018.
  19. Celimuge Wu, Zhi Liu, Di Zhang, Tsutomu Yoshinaga, Yusheng Ji , “Spatial Intelligence towards Trustworthy Vehicular IoT”, IEEE Communications Magazine, Vol. 56, Issue 10, pp. 22-27, Oct. 2018.
  20. Chang An, Celimuge Wu, Tsutomu Yoshinaga, Xianfu Chen, Yusheng Ji, “A Context-aware Edge-based VANET Communication Scheme for ITS”, Sensors, Vol. 18, Issue 7, https://doi.org/10.3390/s18072022, July 2018.
  21. Celimuge Wu, Tsutomu Yoshinaga, Dabhur Bayar, Yusheng Ji, “Learning for adaptive anycast in vehicular delay tolerant networks”, Journal of Ambient Intelligence and Humanized Computing, https://doi.org/10.1007/s12652-018-0819-y, May 2018.
  22. Celimuge Wu, Tsutomu Yoshinaga, Xianfu Chen, Lin Zhang, Yusheng Ji, “Cluster-Based Content Distribution Integrating LTE and IEEE 802.11p with Fuzzy Logic and Q-Learning”, IEEE Computational Intelligence Magazine, Vol. 13, Issue 1, pp. 41-50, Feb. 2018.
  23. Qitu Hu, Celimuge Wu, Xiaobing Zhao, Xianfu Chen, Yusheng Ji, Tsutomu Yoshinaga, “Vehicular Multi-access Edge Computing with licensed Sub-6 GHz, IEEE 802.11p and mmWave”, IEEE Access, Vol. 6, Issue 1 pp. 1995-2004, Dec. 2017.
  24. Lifeng Zhang, Celimuge Wu, Tsutomu Yoshinaga, Xianfu Chen, Tutomu Murase, Yusheng Ji, “Multihop Data Delivery Virtualization for Green Decentralized IoT”, Wireless Communications and Mobile Computing, Vol. 2017, Article ID 9805784, 9 pages, Dec. 2017.
  25. Jingyun Feng, Zhi Liu, Celimuge Wu, Yusheng Ji, “AVE: Autonomous Vehicular Edge Computing Framework with ACO-Based Scheduling”, IEEE Transactions on Vehicular Technology, Vol. 66, Issue 12, pp. 10660-10675, Dec. 2017.
  26. A Reinforcement Learning-based Data Storage Scheme for Vehicular Ad Hoc Networks
    Celimuge Wu, Tsutomu Yoshinaga, Yusheng Ji, Tutomu Murase, and Yan Zhang, IEEE Transactions on Vehicular Technology, DOI: 10.1109/TVT.2016.2643665 (2017)
  27. How to Utilize Inter-flow Network Coding in VANETs: A Backbone Based Approach
    Celimuge Wu,  Satoshi Ohzahata, Yusheng Ji, Toshihiko Kato, IEEE Transactions on Intelligent Transportation Systems, vol. 17, no. 8, pp. 2223-2237 (2016)
  28. Packet Size-aware Broadcasting in VANETs with Fuzzy Logic and RL-based Parameter Adaptation
    Celimuge Wu, Xianfu Chen, Yusheng Ji, Fuqiang Liu, Satoshi Ohzahata, Tsutomu Yoshinaga, Toshihiko Kato, IEEE Access, vol. 3, pp. 2481-2491 (2015)
  29. Towards Practical and Intelligent Routing in Vehicular Ad Hoc Networks
    Celimuge Wu, Yusheng Ji, Fuqiang Liu, Satoshi Ohzahata, and Toshihiko Kato, IEEE Transactions on Vehicular Technology, DOI:10.1109/TVT.2015.2481464 (2015)
  30. Efficient Broadcasting in VANETs Using Dynamic Backbone and Network Coding
    Celimuge Wu, Xianfu Chen, Yusheng Ji, Satoshi Ohzahata, and Toshihiko Kato, IEEE Transactions on Wireless Communications, DOI:10.1109/TWC.2015.2447812 (2015)
  31. Joint Fuzzy Relays and Network Coding Based Forwarding for Multi-hop Broadcasting in VANETs
    Celimuge Wu, Satoshi Ohzahata, Yusheng Ji, and Toshihiko Kato, IEEE Transactions on Intelligent Transportation Systems, vol.16, no.3, pp.1415-1427 (2015)
  32. Coded Packets Over Lossy Links: A Redundancy-based Mechanism for Reliable and Fast Data Collection in Sensor Networks
    Celimuge Wu, Yusheng Ji, Juan Xu, Satoshi Ohzahata, and Toshihiko Kato, Computer Networks, vol.70, pp.179-191 (2014)
  33. Flexible, Portable and Practicable Solution for Routing in VANETs: A Fuzzy Constraint Q-Learning Approach
    Celimuge Wu, Satoshi Ohzahata and Toshihiko Kato, IEEE Transactions on Vehicular Technology, vol.62, no.9, pp.4251-4263 (2013.11)
  34. A low latency path diversity mechanism for sender-oriented broadcast protocols in VANETs
    Celimuge Wu, Satoshi Ohzahata and Toshihiko Kato, Ad Hoc Networks, vol.11, no.7, pp.2059-2068 (2013)
  35. VANET Broadcast Protocol Based on Fuzzy Logic and Lightweight Retransmission Mechanism
    Celimuge Wu, Satoshi Ohzahata and Toshihiko Kato, IEICE Transactions on Communications, vol.E95-B, no.02, pp. 415-425, (2012.2)

International conference

  1. Xianfu Chen, Celimuge Wu, Honggang Zhang, Yan Zhang, Mehdi Bennis, and Heli Vuojala, ” Decentralized Deep Reinforcement Learning for Delay-Power Tradeoff in Vehicular Communications”, IEEE ICC, May 2019.
  2. Xiaoyan Wang, Masahiro Umehira, Biao Han, Peng Li, Yu Gu and Celimuge Wu, “Online Incentive Mechanism for Crowdsourced Radio Environment Map Construction”, IEEE ICC, May 2019.
  3. Yue Cao, Celimuge Wu, Xu Zhang, William Liu, Linyu Peng and Muhammad Khalid, “MEGEE: Mobile Edge computer Geared v2x for E-mobility Ecosystem”, IEEE WCNC, April 2019.
  4. Xianfu Chen, Pei Liu, Hang Liu, Celimuge Wu, Yusheng Ji, “Multipath Transmission Scheduling in Millimeter Wave Cloud Radio Access Networks”, accepted by IEEE ICC 2018.
  5. Celimuge Wu, Tsutomu Yoshinaga, Yusheng Ji, “A Learning-based Probabilistic Routing Protocol for Vehicular Delay Tolerant Networks”, in Proceedings of 4th International Conference on Information and Communication Technologies for Disaster Management (ICT-DM2017), Dec. 2017.