Publications

カンファレンス (国内)
LLMを用いたクロールデータからの人物略歴文抽出: 中野佑哉, 猪野麻巳子, 二葉知泰, 丸山翼, 岸本耀平, 永井隆広; 言語処理学会第31回年次大会 (NLP2025); 2025.3.3

論文誌 (国内)
クリックログと小規模高品質データを併用したEコマースクエリ意図分類モデルの精度向上: 田爪聡, 伊奈拓郎, 馬緤美穂, 石原敬大, 鍜治伸裕; 言語処理学会第31回年次大会 (NLP2025); 2025.3.3

論文誌 (国内)
暑熱順化を考慮したソーシャルヒートセンサの設計: 飯田静空 (NAIST), 若宮翔子 (NAIST), 清水伸幸, 藤田澄男, 荒牧英治 (NAIST); 一般社団法人日本データベース学会 (DBSJ); 2025.3.1

カンファレンス (国際)
State and Transition Recognition of Ventilation-induced Barometric Disturbance during Indoor Altitude Estimation: Yuki Hirayama (Ritsumeikan University), Takuzo Ikuta (Ritsumeikan University), Kota Tsubouchi, Nobuhiko Nishio (Ritsumeikan University); The 14th International Conference on Indoor Positioning and Indoor Navigation (IPIN 2024); 2025.2.20

カンファレンス (国際)
No-regret Bandit Exploration based on Soft Tree Ensemble Model: Shogo Iwazaki, Shinya Suzumura; The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024); 2025.2.5

その他 (国際)
Vulnerability Mitigation for Safety-Aligned Language Models via Debiasing: Thien Q. Tran, Akifumi Wachi, Rei Sato, Takumi Tanabe, Youhei AKimoto (University of Tsukuba, RIKEN AIP); arXiv.org (arXiv); 2025.2.4

論文誌 (国際)
Capturing Information Needs in Disaster Situations by using Temporal and Spatial Offset Learning (TSOL): Kota Tsubouchi, Shuji Yamaguchi; Progress in Disaster Science; 2024.12.19

カンファレンス (国際)
Local Curvature Smoothing with Stein's Identity for Efficient Score Matching: Genki Osada, Makoto Shing (Sakana AI), Takashi Nishide (University of Tsukuba); The 38th Annual Conference on Neural Information Processing Systems (NeurIPS 2024); 2024.12.19

カンファレンス (国際)
Revealing Universities’ Atmosphere from Visitor Interests Using Search Queries and GPS Logs: Kaoru Miyanaga (Institute of Science Tokyo), Soto Anno (Institute of Science Tokyo), Kota Tsubouchi, Masamichi Shimosaka (Institute of Science Tokyo); 2024 IEEE International Conference on Big Data (IEEE BigData 2024); 2024.12.15

カンファレンス (国際)
Flipping-based Policy for Chance-Constrained Markov Decision Processes: Xun Shen (Osaka University), Shuo Jiang (Osaka University), Akifumi Wachi, Kazumune Hashimoto (Osaka University), Sebastien Gros (Norwegian University of Science and Technology); The 38th Annual Conference on Neural Information Processing Systems (NeurIPS 2024); 2024.12.13

カンファレンス (国際)
Stepwise Alignment for Constrained Language Model Policy Optimization: Akifumi Wachi, Thien Q. Tran, Rei Sato, Takumi Tanabe, Youhei Akimoto (University of Tsukuba); The 38th Annual Conference on Neural Information Processing Systems (NeurIPS 2024); 2024.12.11

カンファレンス (国際)
Are Crowded Events Forecastable from Promotional Announcements with Large Language Models?: Soto Anno (Tokyo Institute of Technology), Dario Tenore (Swiss Federal Institute of Technology in Zurich), Kota Tsubouchi, Masamichi Shimosaka (Tokyo Institute of Technology); The 32nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2024); 2024.11.25

カンファレンス (国際)
Congestion Forecast for Trains with Railroad-Graph-based Semi-Supervised Learning using Sparse Passenger Reports: Soto Anno (Tokyo Institute of Technology), Kota Tsubouchi, Masamichi Shimosaka (Tokyo Institute of Technology); The 32nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2024); 2024.11.25

論文誌 (国際)
Predicting Individual Irregular Mobility via Web Search-Driven Bipartite Graph Neural Networks: Jiawei Xue (Purdue University), Takahiro Yabe (Massachusetts Institute of Technology), Kota Tsubouchi, Jianzhu Ma (Tsinghua University), Satish V. Ukkusuri (Purdue University); IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE); 2024.11.21

論文誌 (国際)
Elucidating ever-changing information needs for the 2024 Noto Peninsula Earthquake using web search queries: Akira Kodaka (Keio University, Chulalongkorn University), Akihiko Nishino (Keio University), Takashi Kanno (Keio University), Kaya Onda (Keio University), Kota Tsubouchi, Shingo Suzuki (National Research Institute for Earth Science and Disaster Resilience), Shuji Yamaguchi, Naohiko Kohtake (Keio University); Progress in Disaster Science; 2024.11.18

その他 (国内)
LLMによるシーン中の物体の形容記述を用いた景観画像の印象予測: 井手海翔 (東京科学大学), 安納爽響 (東京科学大学), 坪内孝太, 下坂正倫 (東京科学大学); 情報処理学会ユビキタスコンピューティングシステム研究会 (IPSJ SIGUBI); 2024.11.11

カンファレンス (国際)
DisasterNeedFinder: Understanding the Information Needs in the Noto Earthquake: Kota Tsubouchi, Shuji Yamaguchi, Keijirou Saitou (Japan Broadcasting Corporation), Akihisa Soemori (NHK Global Media Servises), Masato Morita (NHK Global Media Servises), Shigeki Asou (Japan Broadcasting Corporation); The 32nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2024); 2024.10.29

カンファレンス (国際)
Deep Learning-Based Compressed Sensing for Mobile Device-Derived Sensor Data: Liqiang Xu (The University of Tokyo), Yuuki Nishiyama (The University of Tokyo), Kota Tsubouchi, Kaoru Sezaki (The University of Tokyo); The 33rd ACM International Conference on Information and Knowledge Management (CIKM 2024); 2024.10.24

その他 (国際)
Congestion Forecast for Trains with Railroad-Graph-based Semi-Supervised Learning using Sparse Passenger Reports: Soto Anno (Tokyo Institute of Technology), Kota Tsubouchi, Masamichi Shimosaka (Tokyo Institute of Technology); arXiv.org (arXiv); 2024.10.23

ワークショップ (国内)
Vertical Federated Learningにおける共通属性を用いた差分プライベートなデータ合成: 松本茉倫 (お茶の水女子大学), 髙橋翼, 小口正人 (お茶の水女子大学); コンピュータセキュリティシンポジウム2024 (CSS2024); 2024.10.22