Education

Work Experience

Social Experience

Publications

1. [1]

   Weight Tying Causes Grokking in Conditional Flow Matching

   Kosuke Ukita, Tsuyoshi Okita

   The 14th International Symposium on Applied Engineering and Sciences (SAES 2026), No. p0092

   November 2026 · Fukuoka, Japan

   Non-refereedOral
2. [2]

   拡散モデルを用いた人間行動モーションデータからの写実的な映像生成

   松石康希, 浮田嵩祐, 大北剛

   情報処理学会論文誌 (IPSJ Journal), 67-10, 2026.

   July 2026 · Japan

   RefereedJournal
3. [3]

   Efficient Inference for Flow Matching via Unified Path CFG

   Kosuke Ukita, Tsuyoshi Okita

   The 30th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2026)

   June 2026 · Hong Kong, China

   RefereedOral
4. [4]

   High-Performance Self-Supervised Learning by Joint Training of Flow Matching

   Kosuke Ukita, Tsuyoshi Okita

   The 29th International Conference on Artificial Intelligence and Statistics (AISTATS 2026)

   May 2026 · Tangier, Morocco

   RefereedSpotlight (top 3%)
5. [5]

   From Sensor Data to Sequence of Scenes: Diffusion Model-Based Visualization of Human Activity

   Koki Matsuishi, Kosuke Ukita, Tsuyoshi Okita

   IEEE Xplore, International Conference on Activity and Behavior Computing (ABC 2026), pp. 1-10, DOI: 10.1109/ABC68169.2026.11567210

   March 2026 · Hokaido, Japan

   RefereedOral
6. [6]

   Foundation Models to Tackle Activity Recognition in Unknown Domain: Sussex-Huawei Locomotion Challenge 2025 Task 2

   Tsuyoshi Okita, Kosuke Ukita, Asahi Miyazaki, Daichi Kubota, Jukichi Ota, Naoki Kagiyama, Asahi Nishikawa, Daichi Nagayasu, Syunya Tomitaka, Daisuke Nozaki, Yuki Odo, Raku Yamashita, Xiaolong Ye, Huayu Gao, Kazuki Okahashi, Koki Matsuishi, Masaharu Kagiyama, Kodai Hirata, Haruki Kai, Lin Wang, Hristijan Gjoreski, Mathias Ciliberto, Paula Lago, Kazuya Murao, Daniel Roggen

   Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp '25), pp. 983–991

   October 2025 · Espoo, Finland

   RefereedOral
7. [7]

   Multimodal Foundation Model for Cross-Modal Retrieval and Activity Recognition Tasks

   Koki Matsuishi, Kosuke Ukita, Tsuyoshi Okita

   International Journal of Activity and Behavior Computing (IJABC), Care XDX Center, Kyushu Institute of Technology, Vol. 2025, No. 3, pp. 1-25

   November 2025 · Kitakyushu, Japan

   RefereedOral
8. [8]

   Energy-Efficient High-Performance Representation Learning for Sensor Data via Flow Matching

   Kosuke Ukita, Tsuyoshi Okita

   The 7th International Symposium on Neuromorphic AI Hardware, Paper No. P-19

   October 2025 · Kitakyushu, Japan

   Non-refereedPoster
9. [9]

   Image Classification Using a Diffusion Model as a PreTraining Model

   Kosuke Ukita, Xiaolong Ye, Tsuyoshi Okita

   arXiv preprint arXiv:2505.06890, pp. 1-10

   May 2025

   Non-refereedPreprint
10. [10]

    AURA-MFM: 詳細な行動理解のためのCLIPを用いたマルチモーダル基盤モデルの構築

    松石康希, 浮田嵩祐, 大北剛

    情報処理学会研究報告(IPSJ SIG Technical Report), Vol. 2025-UBI-85, No. 8

    February 2025 · Osaka, Japan

    Non-refereedOral
11. [11]

    Improving Human Activity Recognition through Diffusion Models

    Kosuke Ukita, Tsuyoshi Okita

    The 12nd International Symposium on Applied Engineering and Sciences (SAES 2024), No. p0052

    November 2024 · Fukuoka, Japan

    Non-refereedOral
12. [12]

    Ensemble Learning of Models for Human Activity Recognition

    Asahi Miyazaki, Kosuke Ukita, Tsuyoshi Okita

    The 12nd International Symposium on Applied Engineering and Sciences (SAES 2024), No. p0053

    November 2024 · Fukuoka, Japan

    Non-refereedOral
13. [13]

    Analysis of Human Activity Recognition by Diffusion Models

    Kosuke Ukita, Tsuyoshi Okita

    Companion of the 2024 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp '24), pp. 458–463

    October 2024 · Melbourne, Australia

    RefereedOral
14. [14]

    表現条件付き潜在拡散モデルと表現学習

    浮田嵩祐, Ye Xiaolong, 大北剛

    情報処理学会研究報告, 火の国情報シンポジウム 2024, No. A4-4, pp. 1-8

    March 2024 · Kagoshima, Japan

    Non-refereedOral
15. [15]

    Towards LLMs for Sensor Data: Multi-Task Self-Supervised Learning

    Tsuyoshi Okita, Kosuke Ukita, Koki Matsuishi, Masaharu Kagiyama, Kodai Hirata, Asahi Miyazaki

    Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing (UbiComp/ISWC '23 Adjunct), pp. 499–504

    October 2023 · Cancun, Mexico

    RefereedOral

Grants

• –

  SPRINGスカラシップ研究学生

  国立研究開発法人 科学技術振興機構 (JST)

  April 2026 - March 2029 · JPY ¥1,800,000 (+ ¥900,000) / 年
• –

  Student Travel Award

  The 30th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2026)

  June 2026 · USD $500
• –

  海外渡航旅費援助

  公益財団法人 電気通信普及財団

  April 2026 · JPY ¥290,000

Awards

• –

  Student Travel Award

  The 30th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2026)

  June 2026
• –

  Spotlight Presentation (Top 3%)

  The 29th International Conference on Artificial Intelligence and Statistics (AISTATS 2026)

  May 2026
• –

  奨励賞

  一般社団法人 情報処理学会 九州支部

  March 2024
• –

  最優秀賞

  日本統計学会 統計教育委員会 第8回スポーツデータ解析コンペティション

  May 2019

Skills