Yoshinaga Lab. and Celimuge Lab. > Prof. Celimuge Wu

Prof. Celimuge Wu

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Celimuge Wu

Professor & Director of Meta-Networking Research Center;
Professor at 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 PhD degree from the University of Electro-Communications, Tokyo, Japan, in 2010. He is a full professor & Director of Meta-Networking Research Center, The University of Electro-Communications. His research interests include Vehicular Networks, Internet-of-Things, Edge Computing, and Application of Machine Learning in Wireless Networking. He has published 200+ papers in reputable journals and conferences. He serves as an associate editor of IEEE Transactions on Cognitive Communications and Networking, IEEE Transactions on Network Science and Engineering, IEEE Transactions on Green Communications and Networking, and IEEE Open Journal of the Computer Society. He also has been a guest editor of IEEE Transaction on Intelligent Transportation Systems, IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Computational Intelligence Magazine etc. He is a recipient of the 2021 IEEE Communications Society Outstanding Paper Award, 2021 IEEE Internet of Things Journal Best Paper Award, IEEE Computer Society 2020 Best Paper Award, and IEEE Computer Society 2019 Best Paper Award Runner-Up. He is/has been a TPC Co-Chair of IEEE International Smart Cities Conference 2021 (https://attend.ieee.org/isc2-2021/), a TPC Co-chair of the 2021 IEEE Autonomous Driving AI Test Challenge (http://av-test-challenge.org/index.html), a General Chair (Lead) of ICT-DM 2021 (http://ict-dm.org/), a TPC Co-chair of Wireless Days 2021 (https://wd2021.dnac.org/), a Track Chair (Lead) of IEEE VTC-Spring 2020 (https://events.vtsociety.org/vtc2020-spring/), a Track Chair (Lead) of ICCCN 2019 (http://www.icccn.org/icccn19/index.html), and a Track Chair of IEEE PIMRC 2016 (https://pimrc2016.ieee-pimrc.org/). He is the chair of IEEE TCBD Special Interest Group on Big Data with Computational Intelligence, and IEEE TCGCC Special Interest Group on Green Internet of Vehicles. He is a senior member of IEEE.

Research interests

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

For full list of publications click here

Award and Honor

  • IEEE Vehicular Technology Society Distinguished Lecturer
  • World’s Top 2% Scientists, Stanford University
  • Fellow of EAI (European Alliance for Innovation) (2021)
  • 2021 The IEEE Communications Society Outstanding Paper Award for paper entitled “Optimized Computation Offloading Performance in Virtual Edge Computing Systems Via Deep Reinforcement Learning”
  • 2021 IEEE Internet of Things Journal Best Paper Award, for paper “Optimized Computation Offloading Performance in Virtual Edge Computing Systems Via Deep Reinforcement Learning”
  • 2020 Best Paper Award from the IEEE Open Journal of the Computer Society (OJ-CS), for paper entitled “Federated Learning for Vehicular Internet of Things: Recent Advances and Open Issues”
  • 2021 IEEE ComSoc TCGCC (Technical Committee on Green Communications & Computing) Distinguished Service Award
  • 2021 IEEE TNSE (IEEE Transactions on Network Science and Engineering) Excellent Editor Award
  • 2021 Japanese Neural Network Society Outstanding Research Award, for paper entitled “Acceleration of numerical simulation of computational model for research on visual illusion”
  • 2019 IEEE Computer Society Best Paper Award (Runner-Up)，for paper entitled “Enhancing Video QoE Over High-Speed Train Using Segment-Based Prefetching and Caching”
  • Best Paper Award, The 24th IEEE International Conference on Computational Science and Engineering (CSE 2021), for paper entitled “UAV-empowered Vehicular Networking Scheme for Federated Learning in Delay Tolerant Environments”
  • Best System Paper Award, 11th EAI International Conference on Mobile Networks and Management (MONAMI 2021), for paper entitled “A Fuzzy Logic Controller for Greenhouse Temperature Regulation System Based on Edge Computing”
  • Best Paper Award, The 5th IEEE International Conference on Cloud and Big Data Computing (IEEE CBDCom 2019), for paper entitled “Age of Information-Aware Multi-Tenant Resource Orchestration in Network Slicing”

Editorship

Conference Chairs

Committee Service

Publications (selection)

For full list of publications click here

Journal

  1. Yangfei Lin, Celimuge Wu, Jiale Wu, Lei Zhong, Xianfu Chen, and Yusheng Ji, “Meta-Networking: Beyond the Shannon Limit with Multi-faceted Information,” IEEE Network, 9 pages, Accepted, 2023.(Corresponding author)
  2. Jiale Wu, Celimuge Wu, Yangfei Lin, Tsutomu Yoshinaga, Lei Zhong, Xianfu Chen, and Yusheng Ji, “Semantic Segmentation-based Semantic Communication System for Image Transmission,” Digital Communications and Networks, https://doi.org/10.1016/j.dcan.2023.02.006, 11 pages, Feb. 2023.
  3. Ying Ju, Guoxue Zou, Haowen Bai, Lei Liu, Qingqi Pei, Celimuge Wu, and Sattam Al Otaibi, “Random Beam Switching: A Physical Layer Key Generation Approach to Safeguard mmWave Electronic Devices,” IEEE Transactions on Consumer Electronics, 15 pages, DOI: 10.1109/TCE.2023.3273125, May 2023, Early Access.
  4. Xianfu Chen, Celimuge Wu, Zhi Liu, Ning Zhang, and Yusheng Ji, “Computation Offloading in Beyond 5G Networks: A Distributed Learning Framework and Applications,” IEEE Wireless Communications, Apr. 2021. (Corresponding author)
  5. Rui Yin, Zhiqun Zou, Celimuge Wu, Jiantao Yuan, and Xianfu Chen, “Distributed Spectrum and Power Allocation for D2D-U Networks: A Scheme based on NN and Federated Learning,” Mobile Networks and Applications, 2021. (Corresponding author)
  6. 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, vol.6, no.4, pp.1155-1165, DOI: 10.1109/TCCN.2020.3002253, 2020
  7. Zhi Liu，Jie Li, Xianfu Chen, Celimuge Wu, Susumu Ishihara, Yusheng Ji, and Jie Li, “Fuzzy Logic-Based Adaptive Point Cloud Video Streaming,” IEEE Open Journal of the Computer Society, vol.1, pp.121-130, DOI: 10.1109/OJCS.2020.3006205, July 2020 (Corresponding author)
  8. 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,vol.1, pp.45-61, DOI: 10.1109/OJCS.2020.2992630, May 2020 (Corresponding author)
  9.  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.
  10. 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.
  11. 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. (Corresponding author)
  12. 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.
  13. 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.
  14. 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.
  15. Najmul Hassan , Kok-Lim Alvin Yau, Celimuge Wu, “Edge Computing in 5G: A Review”, IEEE Access, Accepted.
  16. 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. (Corresponding author)
  17. 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.
  18. 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.
  19. 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.
  20. 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. (Corresponding author)
  21. 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.
  22. 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.
  23. 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.
  24. 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.
  25. 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.
  26. 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.
  27. 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.
  28. 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.
  29. 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.
  30. 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.
  31. 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.
  32. 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)
  33. 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)
  34. 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)
  35. 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)
  36. 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)
  37. 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)
  38. 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)
  39. 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)
  40. 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)
  41. 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.
Yoshinaga Lab. and Celimuge Lab. > Prof. Celimuge Wu