Rchr
J-GLOBAL ID:200901046574000783   Update date: Mar. 28, 2023

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  (14):
  • 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
  • 2018 - 2022 Self-Evolving Vehicular Edge Platform for Next Generation Mobility Support
  • 2016 - 2019 Context-aware, Resource Requirement-based Wireless Access Network Densification
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Papers (555):
  • Tingkai Sun, Xiaoyan Wang, Masahiro Umehara, Yusheng Ji. Split Learning Assisted Multi-UAV System for Image Classification Task. IEEE VTC 2023-Spring. 2023
  • Jiale Wu, Celimuge Wu, Yangfei Lin, Tsutomu Yoshinaga, Lei Zhong, Xianfu Chen, Yusheng Ji. Semantic Segmentation-based Semantic Communication System for Image Transmission. Digital Communications and Networks. 2023
  • Xiaoqing Zhang, Megumi Kaneko, Van An Le, Yusheng Ji. Deep Reinforcement Learning-based Uplink Power Control in Cell-Free Massive MIMO. 2023 IEEE 20th Consumer Communications and Networking Conference (CCNC). 2023. 567-572
  • Xing An, Celimuge Wu, Yangfei Lin, Min Lin, Tsutomu Yoshinaga, Yusheng Ji. Multi-Robot Systems and Cooperative Object Transport: Communications, Platforms, and Challenges. IEEE Open Journal of Computer Society. 2023. 4. 23-36
  • Caijuan Chen, Yi-Han Chiang, Hai Lin, John C.S. Lui, Yusheng Ji. Energy Harvesting Aware Client Selection for Over-the-Air Federated Learning. GLOBECOM 2022 - 2022 IEEE Global Communications Conference. 2022. 5069-5074
more...
MISC (98):
  • Distributed Multi-agent Deep Reinforcement Learning for Traffic Engineering. Symposium on AI, Data and Digitalization. 2023
  • 浅尾英寿, 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におけるエッジ・ピアサーバによる処理進捗度向上のための分散型タスクオフロード及びスケジューリング. 電子情報通信学会情報ネットワーク研究会. 2023. IN2022-80
  • 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における最適な投機的VM移動準備法. 電子情報通信学会情報ネットワーク研究会. 2023. IN2022-73
  • Wang Ganggui, Celimuge Wu, Tsutomu Yoshinaga, Yusheng Ji. Performance Analysis of D2D-Unlicensed Communications with Mode Selection. IEICE Technical Report, CQ2020-59. 2020. 120. 258. 66-71
  • Van An Le, Yusheng Ji. Dynamic Diffusion Convolutional Recurrent Neural Network-based Traffic Prediction. IEICE Technical Report, NS2020-70. 2020. 75-80
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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  (126):
  • 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)
  • モバイルSINETを用いた連合学習の性能に関する実証実験
    (2023年電子情報通信学会総合大会 2023)
  • 胸部X線画像におけるデータ不均一度が連合学習に与える影響に関する分析
    (令和4年電気関係学会関西連合大会 2022)
  • Machine Learning Aided Traffic Engineering
    (AXIES High Quality and Secure ICT Workshop 2022 2022)
  • Resource Allocation for Over-the-Air Federated Learning with Energy Harvesting
    (WiE Special Session, IEEE World Forum on IoT 2022 2022)
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 (59):
  • 2022/01 - 現在 IEEE INFOCOM 2023 TPC Co-chair
  • 2022/01 - 現在 IEEE Communications Society Awards Committee Member
  • 2020/05 - 現在 IEEE Vehicular Technology Magazine Associate Editor
  • 2020/04 - 現在 情報処理学会 マルチメディア通信と分散処理研究運営委員会委員
  • 2019/06 - 現在 電子情報通信学会 インターネットアーキテクチャ研究会専門委員
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Awards (31):
  • 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"
  • 2021/07 - IEEE Vehicular Technology Society Distinguished Lecturer
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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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