CV

Education

• 2026.04 - present
  Master's programme in Information Science and Technology

  Graduate School of Information Science and Technology, Hokkaido University

  Media Dynamics Laboratory
• 2022.04 - 2026.03
  B.Eng.

  School of Engineering, Hokkaido University

Experience

• 2026.04 - present
  Research Assistant

  Media Dynamics Laboratory, Hokkaido University
• 2026
  Teaching Assistant

  School of Engineering, Hokkaido University

  Exercise in Media Network Ⅱ, Media Network Laboratory ⅠA

Awards

• 2026.03
  Dean's Award, School of Engineering, Hokkaido University
• 2026.03
  Student Presentation Award, DEIM2026
• 2025.11
  Young Researcher Excellent Paper Presentation Award, Joint Conference of Hokkaido Chapters of Electrical and Information Institutes
• 2025.09
  Excellent Paper Award, Silver Prize, IEEE GCCE 2025

Scholarships and Fellowships

• 2026.04 - present
  TCS Scholarship

Publications

1. CIKM 2026CORE A Diagnosing Lexical Text-Anchor Retrievability in Sequential Recommendation BenchmarksKeito Kozaki, Keigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama ACM International Conference on Information and Knowledge Management (CIKM), 2026 details
2. RecSys 2026CORE A Residual Dominance as a Structural Account of Last-Item Reliance in Causal Self-Attention RecommendersKeito Kozaki, Keigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama ACM Conference on Recommender Systems (RecSys), 2026 detailspdf
3. SIGIR 2026CORE A* Revisiting the Role of Learned Attention Weighting in SASRecKeito Kozaki, Keigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), pp. 3894-3899, 2026 detailspdf
4. Transformerに基づく逐次推薦モデルにおける自己注意重みの再考神崎恵土, 櫻井慶悟, 藤後廉, 小川貴弘, 長谷山美紀 2026年度 人工知能学会全国大会 (JSAI), 2026 details
5. 因果的Self-Attentionを用いた逐次推薦モデルにおける残差支配がもたらす最終アイテム依存学生プレゼンテーション賞神崎恵土, 櫻井慶悟, 藤後廉, 小川貴弘, 長谷山美紀 第18回データ工学と情報マネジメントに関するフォーラム (DEIM2026), 2026 details
6. ユーザ行動系列エンコーダの周波数特性を考慮した逐次推薦モデルに関する検討若手優秀論文発表賞神崎恵土, 櫻井慶悟, 藤後廉, 小川貴弘, 長谷山美紀 令和7年度 電気・情報関係学会北海道支部連合大会, pp. 37-38, 2025 details
7. SSM-Based Sequential Recommendation Considering Short-Term Dependencies of Time and AdjacencyExcellent Paper Award, Silver PrizeKeito Kozaki, Keigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama IEEE Global Conference on Consumer Electronics (GCCE), pp. 1271-1274, 2025 details