Rchr
J-GLOBAL ID:200901046574000783   Update date: Dec. 18, 2024

Ji Yusheng

ケイ ウセイ | Ji Yusheng
Affiliation and department:
Job title: Professor, Director
Other affiliations (1):
Homepage URL  (1): https://klab.nii.ac.jp/
Research field  (2): Information networks ,  Computer systems
Research keywords  (5): communication network ,  network architecture ,  mobile computing ,  resource management ,  quality of service
Research theme for competitive and other funds  (30):
  • 2024 - 2027 大規模分散システムにおける自律制御と安全性確保に関する研究
  • 2023 - 2025 走行型ロボット群の自動運転のための通信データ量削減と信頼性向上機能の実現
  • 2021 - 2024 Collaborative information processing platform for vehicular IoT based on federated learning
  • 2020 - 2024 Researches on Model-aided Learning Approaches for Reliable Realtime Control in Future Wireless Systems
  • 2019 - 2022 High Speed Communications in Wide Area Covered with Massive Running Vehicles Equipped with Wireless LAN Access Point
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Papers (606):
  • Keita Hisamori, Yi-Han Chiang, Hai Lin, Yusheng Ji. Hybrid Quantum-Classical Computing in Federated Learning With Data Heterogeneity. IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC’24). 2024
  • Xiaoyu Wang, Yonghui Guo, Hui Sheng, Peili Lv, Chi Zhou, Wei Huang, Shiqin Ta, Dongbo Huang, Xiujun Yang, Lan Xu, et al. Know in AdVance: Linear-Complexity Forecasting of Ad Campaign Performance with Evolving User Interest. ACM International Conference on Knowledge Discovery and Data Mining (KDD) 2024. 2024
  • Van An Le, Doc Long Nguyen, Phi Le Nguyen, Yusheng Ji. Traffic Engineering in Large-scale Networks via Multi-Agent Deep Reinforcement Learning with Joint-Training. 33rd International Conference on Computer Communications and Networks (ICCCN 2024). 2024
  • Linhui Wei, Tien Thanh Le, Yusheng Ji, Mingqian Wang, Yu Liu, Yumei Wang, John, C.S. Lui. Towards Efficient Traffic Engineering via Distributed Optimization in Large-Scale LEO Constellation. IEEE ICC 2024 Workshop on Intelligent Cloud Continuum for B5G Services. 2024
  • Yukinobu Fukushima, Yuki Koujitani, Kazutoshi Nakane, Yuta Tarutani, Celimuge Wu, Yusheng Ji, Tokumi Yokohira, Tutomu Murase. Application of a Deep Reinforcement Learning Algorithm to Virtual Machine Migration Control in Multi-Stage Information Processing Systems. 23rd International Conference on Networks. 2024
more...
MISC (107):
  • Hayato Umeki, Kazutoshi Nakane, Yukinobu Fukushima, Celimuge Wu, Yusheng Ji, Tutomu Murase. VM Migration Control considering Terminal Location in Multi-stage Information Processing System. 2024 International Conference on Consumer Electronics - Taiwan (ICCE-TW). 2024
  • 糀谷友貴, 福島行信, 中根和俊, 策力木格, 計 宇生, 樽谷優弥, 横平徳美, 村瀬 勉. 多段階情報処理システムにおけるVM移動制御への深層強化学習の適用. 電子情報通信学会技術研究報告. 2024. IN2023-87
  • 梅木勇杜, 中根和俊, 福島行信, 策力木格, 計 宇生, 村瀬 勉. 多段階情報処理システムの端末位置に応じた最適VM移動制御. 電子情報通信学会技術研究報告. 2024. IN2023-86
  • 久森敬太, 江易翰, 林海, 計宇生. 量子古典ハイブリッドコンピューティングによる連合学習. 電子情報通信学会総合大会. 2024. D-8-34
  • 寺井 広大, 江 易翰, 林 海, 計 宇生. チャネル時変性に対処したOTA連合学習におけるコホート作成. 電子情報通信学会総合大会. 2024. B-15-04
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Patents (3):
  • 検索木描画装置、検索木描画方法およびプログラム
  • 断片的自己相似過程を用いる通信トラヒックの評価方法及び評価装置
  • 情報提供システム及び情報提供方法
Books (3):
  • 日経サイエンス別冊 「コンピュータネットワーク」
    日経サイエンス社 1992
  • UNIX 4.3BSDの設計と実装 アンサーブック (アジソン ウェスレイ・トッパン 情報科学シリーズ 17)
    株式会社トッパン 1991
  • UNIX 4.3BSDの設計と実装
    丸善株式会社 1991
Lectures and oral presentations  (130):
  • Leveraging Machine Learning for Traffic Engineering in Large-scale Networks (Plenary Talk)
    (2024 International Conference on Computing, Networking and Communications (ICNC 2024) 2024)
  • Resource Scheduling for Over-the-Air Federated Learning
    (IEEE VTS Distinguished Lecturer Tour at Shanghai Jiao Tong University 2024)
  • 空中計算連合学習のためのリソース制御
    (AXIES高品質・セキュリティICTワークショップ2023 2023)
  • Benchmarking Multi-agent Reinforcement Learning-based Access Control using Real-world IoT Traffic
    (14th International Workshop on Networking, Computing, Systems, and Software 2023)
  • モデルポイズニング攻撃に対処する連合学習の開発に関する研究
    (2023年電子情報通信学会総合大会 2023)
more...
Education (3):
  • 1986 - 1989 Graduate School, University of Tokyo Faculty of Engineering Doctor Course, Electrical Engineering
  • 1984 - 1986 Graduate School, Univeristy of Tokyo Faculty of Engineering Master Course, Electrical Engineering
  • 1980 - 1984 University of Tokyo Faculty of Engineering Electronic Engineering
Professional career (1):
  • Doctor of Engineering (University of Tokyo)
Committee career (61):
  • 2024/01 - 現在 IEEE INFOCOM Steering Committee Member
  • 2022/01 - 現在 IEEE Communications Society Awards Standing Committee Member
  • 2020/05 - 現在 IEEE Vehicular Technology Magazine Associate Editor
  • 2012 - 現在 IEEE WCNC プログラム委員
  • 2011 - 現在 IEEE GLOBECOM プログラム委員
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Awards (32):
  • 2024/05 - 23rd International Conference on Networks Best Paper Award "Application of a Deep Reinforcement Learning Algorithm to Virtual Machine Migration Control in Multi-Stage Information Processing Systems"
  • 2023/01 - IEEE CCNC 2023 Best Paper Award Runner-Up "Deep Reinforcement Learning-based Uplink Power Control in Cell-Free Massive MIMO"
  • 2022/02 - IEEE Computer Society 2020 Best Paper Award for IEEE Open Journal of the Computer Society "Federated Learning for Vehicular Internet of Things: Recent Advances and Open Issues"
  • 2022/01 - IEEE Fellow
  • 2021/11 - 2021 IEEE Internet of Things Journal Best Paper Award "Optimized Computation Offloading Performance in Virtual Edge Computing Systems via Deep Reinforcement Learning"
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Association Membership(s) (4):
ACM ,  IEEE ,  INFORMATION PROCESSING SOCIETY OF JAPAN ,  THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS
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