Publications - LINEヤフーの研究開発

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)
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); 2024.12.19

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)
Real-SRGD: Enhancing Real-World Image Super-Resolution with Classifier-Free Guided Diffusion: Kenji Doi, Shuntaro Okada, Ryota Yoshihashi, Hirokatsu Kataoka; 17th Asian Conference on Computer Vision (ACCV 2024); 2024.12.12

ワークショップ (国内)
FoodSkin: 食用金箔を用いた食品上への回路作成: 加藤邦拓* (東京工科大学), 池松香*, 中村裕美 (東京大学), 須﨑比奈子 (お茶の水女子大学), 五十嵐悠紀 (お茶の水女子大学), *co-1st authors; 第32回インタラクティブシステムとソフトウェアに関するワークショップ (WISS 2024); 2024.12.11

ワークショップ (国内)
ScreenConcealer:オンライン会議における画面共有時のプライバシー懸念調査と保護システム: 石田瑞季* (お茶の水女子大学), 池松香*, 五十嵐悠紀 (お茶の水女子大学), *co-1st authors; 第32回インタラクティブシステムとソフトウェアに関するワークショップ (WISS 2024); 2024.12.11

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)
画面上の触覚フィードバックがバーチャルジョイスティックに与える影響の基礎調査: 角田陸 (筑波大学), 松田大樹 (筑波大学), 白根薫 (筑波大学), 和田優斗 (筑波大学), 池松香, 志築文太郎 (筑波大学); 第210回ヒューマンコンピュータインタラクション研究会 (HCI研究会210); 2024.11.11

カンファレンス (国際)
Detecting Ambiguous Utterances in an Intelligent Assistant: Satoshi Akasaki, Manabu Sassano; The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024); 2024.11.10

その他 (国際)
Tappy Plugin for Figma: Predicting Tap Success Rates of User-Interface Elements under Development for Smartphones: Shota Yamanaka, Hiroki Usuba, Junichi Sato, Naomi Sasaya, Fumiya Yamashita, Shuji Yamaguchi; arXiv.org (arXiv); 2024.11.4

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)
0.2-mm-Step Verification of the Dual Gaussian Distribution Model with Large Sample Size for Predicting Tap Success Rates: Shota Yamanaka, Hiroki Usuba; The 2024 ACM Interactive Surfaces and Spaces Conference (ACM ISS 2024); 2024.10.24

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

カンファレンス (国際)
Designing Privacy-Protecting System with Visual Masking Based on Investigation of Privacy Concerns in Virtual Screen Sharing Environments: Mizuki Ishida* (Ochanomizu University), Kaori Ikematsu*, Yuki Igarashi (Ochanomizu University), *co-1st authors; The 2024 ACM Interactive Surfaces and Spaces Conference (ACM ISS 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