Profile

Keiichi Ochiai（落合桂一）

Education

B.S.,  March 2006, Department of Information and Image Science, Chiba University, JAPAN.
M.S.,  March 2008, Division of Intelligence Information Science, Graduate School of Science and Technology, Chiba University, JAPAN.
Ph.D., September 2017,  Department of Technology Management for Innovation, Graduate School of Engineering, The University of Tokyo, JAPAN (Supervisor: Prof. Yutaka Matsuo).

Professional Experience

Project Research Associate, Matsuo Lab, The University of Tokyo. Aug, 2020 – Present
Research Engineer, Research Laboratories, NTT DOCOMO, INC. July 2019 – Present
Research Engineer, Service Innovation Dept., NTT DOCOMO, INC. July 2014 – June 2019
Research Engineer, Service & Solution Development Dept., NTT DOCOMO, INC. April 2008 – June 2014

Activities, Professional service

2014-2018 情報処理学会MBL研究会 運営委員
Publication Chair, ICMU 2017, 2018, 2019, 2020 http://www.icmu.org/
Program Committee Member, ICWSM 2021
Reviewer: ICWSM 2021, 2022, IMWUT 2021, CHI 2021 Late-Breaking Work, CHI 2022

Awards

  1. KDD Cup 2023 Task 3: Next Product Title Generation, 6th place [paper]
  2. KDD Cup 2022 ESCI Challenge for Improving Product Search, 9th place
  3. 情報処理学会 2022年度情報処理技術研究開発賞
    モバイルデータを対象とした機械学習の応用によるユーザ行動支援と社会課題の解決に向けた研究開発 [link]
  4. 2022年度 情報処理学会論文誌デジタルプラクティス優秀論文賞 LSTMモデルによる金融経済レポートの指数化
  5. 情報処理学会論文誌 特選論文, Bayesian Neural Networkによる景気テキストの不確実性評価と景気指標の開発
  6. Specially Selected Paper (Top 10%), Journal of Information Processing
    Content-based Stock Recommendation Using Smartphone Data
  7. Asian CHI Symposium, Best Paper Award.
    Estimating Work Engagement from Online Chat Logs, Asian CHI Symposium: ACM Conference on Human Factors in Computing Systems (CHI) 2021.
  8. 情報処理学会論文誌 特選論文
    時空間的なスマートフォンログ分析に基づく利用者のストレス推定手法, 情報処理学会論文誌, Vol.62, No.4, pp.1113 – 1127
  9. KDD Cup 2020 Regular Machine Learning Competition Track 2 “Adversarial Attacks and Defense on Academic Graph” 4th place
  10. DICOMO 2020, 優秀プレゼンテーション賞
    人の移動データに基づく地域のクラスタリングとその応用 [link]
  11. ICWSM 2020, Best Paper Honorable Mentions
    “Gravity of Location-Based Service: Analyzing the Effects for Mobility Pattern and Location Prediction,”
  12. KDD Cup 2019 Regular Machine Learning Competition Track Task 2, 1st Prize
    Proposal Title: Simulating the Effects of Eco-Friendly Transportation Selections for Air Pollution Reduction
    https://dianshi.baidu.com/competition/29/rule
    https://www.kdd.org/kdd2019/docs/Winners_Regular_Baidu.pdf
  13. Best Poster Award
    Fast Spatial Twitter Search Method Using Location Adaptive Range Query
    Keiichi Ochiai, Daisuke Torii, Yusuke Fukazawa and Yutaka Matsuo
    The Ninth International Conference on Mobile Computing and Ubiquitous Networking (ICMU 2016)