Publications

#International Conference

  1. Naoki Chihara, Ren Fujiwara, Yasuko Matsubara, Yasushi Sakurai. AdaKoop: Efficient Modeling of Nonlinear Dynamics from Nonstationary Data Streams with Koopman Operator Regression. The 32nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2026), pp. **-**, Jeju, Korea, August 9-13, 2026 (acceptance rate: 18.5%).
    [abstract]
  2. Naoki Chihara, Tatsushi Oka, Yasuko Matsubara, Yasushi Sakurai, Shota Yasui. Modeling Covariate Transition for Efficient Estimation of Longitudinal Treatment Effects in Randomized Experiments. The 43rd International Conference on Machine Learning (ICML 2026), PMLR ***, pp. **-**, Seoul, South Korea, July 6-11, 2026 (acceptance rate: 26.6%).
    [OpenReview] [abstract]
  3. Naoki Chihara, Yasuko Matsubara, Ren Fujiwara, Yasushi Sakurai. Modeling Time-evolving Causality over Data Streams. The 31st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2025), pp. 153-164, Toronto, ON, Canada, August 3-7, 2025 (acceptance rate: 19%).
    [paper] [slides] [poster] [cite] [code] [arXiv] [video] [abstract]
  4. Naoki Chihara, Yasuko Matsubara, Ren Fujiwara, Yasushi Sakurai. Stream Mining Time-evolving Causality in Time Series. The 30th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2024) PhD Consortium, Barcelona, Spain, August 25-29, 2024.

#Journal

  1. Naoki Chihara, Yasuko Matsubara, Ren Fujiwara, Yasushi Sakurai. Modeling Time-evolving Causality and Forecasting in Data Streams. IPSJ Transactions on Databases (TOD), Vol. 19, No. 2, pp. 70-81, April 21, 2026.
    Recommended Paper
    [paper] [cite] [abstract]
  2. Naoki Chihara, Yasuko Matsubara, Ren Fujiwara, Yasushi Sakurai. Real-time Forecasting of Time-evolving Data Streams using Dynamic Mode Decomposition. IPSJ Transactions on Databases (TOD), Vol. 17, No. 2, pp. 1-11, April 23, 2024.
    [paper] [cite] [abstract]
  3. Naoki Chihara, Tadafumi Takata, Yasuhiro Fujiwara, Koki Noda, Keisuke Toyoda, Kaito Higuchi, Makoto Onizuka. Effective detection of variable celestial objects using machine learning-based periodic analysis. Astronomy and Computing, Vol. 45, pp. 100765, November 3, 2023.
    [paper] [cite] [abstract]

#Domestic Conference

  1. Naoki Chihara, Yasuko Matsubara, Ren Fujiwara, Yasushi Sakurai. 時系列データストリームにおける時間変化する因果関係の抽出. The 28th Information-based Induction Sciences Workshop (IBIS 2025), Okinawa, Japan, November 12-15, 2025.
  2. Naoki Chihara, Yasuko Matsubara, Ren Fujiwara, Yasushi Sakurai. 時間変化する因果関係の抽出に基づいた高速将来予測. The 17th Forum on Data Engineering and Information Management (DEIM 2025), Fukuoka, Japan, February 27 - March 4, 2025.
    Student Presentation Award, Best Paper Award Runner-up
  3. Naoki Chihara, Yasuko Matsubara, Ren Fujiwara, Yasushi Sakurai. 動的モード分解を活用した高速将来予測アルゴリズム. The 16th Forum on Data Engineering and Information Management (DEIM 2024), Hyogo, Japan, February 28 - March 5, 2024.
    Best Paper Award Runner-up, IPSJ Yamashita SIG Research Award
  4. Aiyi Li, Kenya Hoshimure, Kei Tanigaki, Yota Hatano, Reina Nozawa, Yuki Sakamoto, Yuanzhou Wei, Naoki Chihara, Naoki Kodani. Semi-autonomous Leader-follower Approach for Swarm Drone Guidance. The 36th SICE Symposium on Decentralized Autonomous Systems, Tokyo, Japan, February 16-17, 2024.
  5. Naoki Chihara, Tadafumi Takata, Yasuhiro Fujiwara, Makoto Onizuka. 周期解析による変動天体の検出. The 15th Forum on Data Engineering and Information Management (DEIM 2023), Gifu, Japan, March 5-9, 2023.

#Patent

  1. Yasuhiro Fujiwara, Makoto Onizuka, Naoki Chihara. 検出装置、検出⽅法及びプログラム. 特願2023-099796, 特開2025-000129, 出願日: 2023.06.19, 公開日: 2025.01.07.