Session Details
[1Yin-A]Poster 1
Mon. Jun 8, 2026 2:10 PM - 3:40 PM JST
Mon. Jun 8, 2026 5:10 AM - 6:40 AM UTC
Mon. Jun 8, 2026 5:10 AM - 6:40 AM UTC
Room Y(Exhibition hall AB 1)
[1Yin-A-01]Demand Forecasting and Explainability through Similar Product Trend Information
〇Kudo Fumiya1, Horiwaki Kazuki1, Kazuo Muto1 (1. Hitachi)
[1Yin-A-02]Expected Return Prediction of Country Equity Indices Using XGBoost and Its Application to Portfolio OptimizationAn Empirical Study of Machine-Learning-Based Return Forecasts with Mean–Variance and CVaR Optimization
〇Satoshi Kimura1 (1. Mitsubishi UFJ Asset Management Co.,Ltd)
[1Yin-A-03]Utility of Doubly Robust Estimation in Observational Data Analysis for Clinical ResearchCausal Effect Estimation in Observational Data with Confounding Due to Nonlinear Responses and Latent Variables
〇Yusuke Koyanagi1 (1. TIS Inc.)
[1Yin-A-04]Effects of Symbolic Syntactic Manipulation on Content Filtering in Large Language ModelsAn Experimental Observation of the Effects of Symbol Insertion Patterns on Semantic Chaining
〇Masato Suzuki1 (1. West Los Angeles College)
[1Yin-A-05]A Study of End-to-End Learning for Doubly Robust Estimation in Large Action Spaces
〇Natsuki Fukano1, Tianxiang Yang1, Hideo Suzuki1 (1. Keio University)
[1Yin-A-06]Mitigating Self-Preference Bias in MLLM-as-a-Judge
〇Shuitsu Koyama1, Yuiga Wada1, Daichi Yashima1, Komei Sugiura1 (1. Keio University)
[1Yin-A-07]4D Urban Dynamic Scene Reconstruction from Multiple Panoramic Videos
〇Hina Kogure1, Kei Katsumata1, Taiki Miyanishi2,1, Komei Sugiura1 (1. Keio University, 2. Graduate School of Engineering, The University of Tokyo)
[1Yin-A-08]Near-Miss Case Recommendation for Hazard Prediction Support at Construction Sites Using Unsupervised Contrastive Learning
〇Sumiya Yuta1, Naoyuki Echizenya1, Yoshiaki Oida1 (1. Fujitsu Limited)
[1Yin-A-09]Hallucination Detection and Editing in MLLM
〇Yuiga Wada1,2,3, Kazuki Matsuda1, Graham Neubig3, Komei Sugiura1,2 (1. Keio University, 2. Keio AI Research Center, 3. Carnegie Mellon University)
[1Yin-A-10]Context-Aware Basketball Highlight Generation using Large Video-Language Models and Hierarchical Feature Extraction
〇Naoya Matsuo1, Toshiaki Sota1, Kaede Shindo2, Yosuke Inoue2 (1. IBM Japan Systems Engineering Co., Ltd., 2. IBM Japan Co., Ltd.)
[1Yin-A-11]Integrating Human-Centered Design and Behavioral Economics for Promoting Organizational Adoption of Enterprise AI AgentsA Field Randomized Controlled Trial using Nudge and Mental Model Design
〇Isao Shirai1, Yuzo Kusaka2, Ko Kawahira3, Ryouhei Iwashita3 (1. Novo Nordisk Pharma Ltd., 2. Sun Axel LLC., 3. ABEJA, Inc.)
[1Yin-A-12]Video Forgery Detection with Optical Flow Residuals and Spatial-Temporal Consistency
〇Xi Xue1, Kunio Suzuki1, Nabarun Goswami1, Takuya Shintate1 (1. NABLAS Inc.)
[1Yin-A-13]Construction of an Integrated Graph across Multiple Bibliographic Databases as a Foundation for Identifying Japanese Reference Strings
〇Katsuyuki Hirai1, Teruhito Kanazawa2, Takahiro Hayashi3 (1. Niigata University of Health and Welfare, 2. National Institute of Informatics, 3. Kansai University)
[1Yin-A-14]Multimodal Fashion Retrieval Based on Palette Queries
〇Kanon Amemiya1, Daichi Yashima1, Kei Katsumata1, Komei Sugiura1 (1. Keio University)
[1Yin-A-15]Multimodal Large Language Model based on Compressed Video Representation for Video Understanding
〇Daichi Yashima1,3, Shuhei Kurita2, Yusuke Oda3, Komei Sugiura1 (1. Keio University, 2. NII, 3. NII LLMC)
[1Yin-A-16]Visualization of Emotions and the Effects of Conversational Interventions in AI Voice Diary Apps
〇Komoda Tomo1, Takano Takeshi2, Higuchi Masakazu3, Manome Nobuhito4, Shinohara Shuji1 (1. Tokyo Denki University, 2. University of Texas San Antonio, 3. Kanagawa University of Human Services, 4. The University of Tokyo)
[1Yin-A-17]Self-consistent solution by Physics-informed neural network
〇Takahiro Bando1, Kotaro Otomura1, Genta Yoshmura1, Akinobu Matsuyama2, Mitsuru Honda2 (1. Mitsubishi electric, 2. Kyoto University)
[1Yin-A-18]Hierarchical NPC Control in Turn-Based RPGs Using Large Language Models and Reinforcement Learning
〇ZHANG JINGQUAN1, nakada hidemoto1 (1. juntendo university)
[1Yin-A-19]Analysis of Learning Behavior in Epoch-wise Double Descent for Regression Problems
〇Haruma Murakami1, Ryuken Uda1, Yusuke Iida1 (1. Niigata University)
[1Yin-A-20]NLData2Opt: Benchmarking Parameter Derivation and Prediction for Modeling Optimization Problems from Natural Language and Data
〇Lijia Liu1, Kyohei Atarashi1, Jiyi Li2, Koh Takeuchi1, Shunji Umetani3, Hisashi Kashima1 (1. Kyoto University, 2. Hokkaido University, 3. Recruit Co., Ltd.)
[1Yin-A-21]Analyzing Changes in Thinking Processes of LLMs in Oogiri Evaluation through Relative-Assessment-Based RLVR
〇Hiroaki Ito1, Hwichan Kim1,2, Tosho Hirasawa1,2, Ritsu Sakabe1, Souto Ohira1, Mamoru Komachi1 (1. Hitotsubashi University, 2. Tokyo Metropolitan University)
[1Yin-A-22]A Study on Zero-Shot Prediction of Repetitive Task Duration in Manufacturing Using an Action Counting Model
〇Kyoka Yoshioka1, Ryo Morita1, Masayuki Satou1, Akihiko Imajo1, Shunya Oishi1 (1. KONICA MINOLTA, INC.)
[1Yin-A-23]speech emotion recognition using vote rate distributions fine tuning and ambiguity aware learningComparative Evaluation Using CREMA-D and wav2vec2 Emotion Expression
〇Takuma Endo1, Shuji Shinohara1, Takeshi Takano2, Nobuhito Manome3, Masakazu Higuchi4 (1. Tokyo Denki University, 2. University of Texas San Antonio, 3. Center for Disease Biology and Integrative Medicine, Graduate School of Medicine, the University of Tokyo, 4. Graduate School of Health Innovation, Kanagawa University of Human Services)
[1Yin-A-24]Information Extraction and Structuring from Residence Card Document Images Using Deep Learning-based OCR
〇Chie Ito1, Yijun Feng1 (1. Daiichi Institute of Technology, Faculty of Engineering, Department of Information, AI and Data Science)
[1Yin-A-25]Overall Quality and Cost Estimation in Generative AI-Driven Development Processes Using Adaptive Subgraph Selection
〇Masatoshi Sekine1, Daisuke Shimbara1 (1. Hitachi, Ltd.)
[1Yin-A-26]Tabular Data Synthesis Approaching the Real Data Distribution via Iterative Discriminator-Based Selection and In-Context Learning
〇Tsukasa Yamakura1, Yoichi Sasaki1, Yuzuru Okajima1 (1. NEC Corporation)
[1Yin-A-27]Detection of COVID-19 from cough sounds using the COUGHVID dataset and examination of the explainability of deep learning models
〇Keita Takahashi1, Saki Katayama1, Ryoichi Chatani1, Yukiko Nagao1, Takuya Yoshimoto1 (1. Chugai Pharmaceutical Co., Ltd.)
[1Yin-A-28]Memory-Efficient Algorithm for DualSoftmax-based Feature Matching
〇Yoshio Kato1, Shuhei Tarashima1 (1. NTT DOCOMO BUSINESS)
[1Yin-A-29]Assessing Out-of-Distribution Generalization of Multimodal Foundation Models for Drug Discovery on Novel Protein Families
〇Shunichi Ito1,2, Akihiko Arakawa1, Keisuke Mizutani1 (1. CHUGAI PHARMACEUTICAL CO., LTD., 2. Kyoto University)
[1Yin-A-30]Efficiency Improvement of CFD Convergence Calculations Using Surrogate-Model-Based Initialization
〇Hirokazu Takagi1, Katsuaki Morita1, Hiroyuki Saito1, Ryosuke Seki1, Yuto Terauchi1 (1. Mitsubishi Heavy Industries, Ltd.)
[1Yin-A-31]Score Refinement for Memory-bank-based Anomalous Sound Detection Using a Few Anomalous
Takahiro Sawatari1, 〇Yuto Watanabe1, Tatsuya Maehashi1 (1. Suzuki Motor Corporation)
[1Yin-A-32]A Study on Context Filtering Techniques for LLM-Based Document Review
〇Kenichiro Kanai1, Koji Tanaka1, Tatsuhiko Saito1 (1. Mitsubishi Electric Corporation)
[1Yin-A-33]Investigation of optimization methods combining quantum approximate optimization algorithms and genetic algorithms
〇Hidemoto Nakada1, Siyue Dong1, Mitsuhisa Sato1 (1. Juntendo University)
[1Yin-A-34]Post-Training Compression of Mixture-of-Experts Models via Shared Base and Low-Rank Approximation of Residuals
〇Shingo Okayama1, Yohei Kobashi2 (1. Tokyo City Univ., 2. Univ. of Tokyo)
[1Yin-A-35]Evaluating LLM-based decision to resolve false "To be published" literature metadata in the Protein Data Bank
〇Koya Sakuma1, Satomi Niwa2 (1. Nagoya University, 2. The University of Osaka)
[1Yin-A-36]Personalized Difficulty Reduction of Piano Scores Using the PIG Dataset
〇Aina Oouchi1, Kazuyuki Nakmura1 (1. Univ. of Meiji)
[1Yin-A-37]Associating Image Regions with LiDAR Point Clouds Using Point Cloud Cluster Information
〇Kyosuke Watanabe1, Seiji Amamoto1, Osamu Tokumi1 (1. SECOM Co., Ltd.)
[1Yin-A-38]Technical Challenges in AI-Assisted Support Operations for On-Demand Transport Systems
〇KEIJI HIRATA1,3, Junichi Ochiai1, Koji Zettsu2,4 (1. Mirai Share, 2. Nagoya University, 3. Future University of Hakodate, 4. National Institute of Information and Communication Technology)
[1Yin-A-39]Verification of Japanese Pre-training for LayoutLMv3
〇ATSUSHI YANAGISAWA1,2, Kouta Nakayama2, Yusuke Oda2, Koichi Akabe4, Naoki Okazki3,2 (1. Kyoto University, 2. National Institute of Informatics, 3. Institute of Science Tokyo, 4. Cierpa and Company)
[1Yin-A-40]A Platform-Based Framework for Post-Hoc Positive Feedback Generation in Collaborative Interaction Analysis
〇Masaki SHUZO1, Kazuaki Kondo2, Kei Shimonishi2, Atsuo Tsuchiya1, Yoshimi Miyata1, Kenta Abe3, Motoki Sakai4 (1. Shonan Institute of Technology, 2. Kyoto University, 3. Teikyo University, 4. Nihon University)
[1Yin-A-41]Exact Approaches for the Profit-Maximizing Pickup and Delivery Selection Problem: Boolean Encodings and Lazy Clause Generation
〇Aolong Zha1, Qiong Chang2, Miyuki Koshimura3, Naoto Imura4 (1. Wakayama University, 2. Institute of Science Tokyo, 3. Kyushu University, 4. The University of Tokyo)
[1Yin-A-42]Temporal Sequence Modeling for Boxing Action Recognition
〇Bojun AO1, Goshiro YAMAMOTO1, Sho MITARAI1, Chang LIU1, Kazumasa KISHIMOTO1, Hiroshi TAMURA1 (1. kyoto universe)
[1Yin-A-43]Topic Maintenance in Large Language Models Using Control Barrier Functions
〇NAOYA SENOO1, Masaki Inoue1, Yuya Miyaoka1 (1. Keio University)
[1Yin-A-44]What Do Asset-Class “Colors” Reveal?Empirical Analysis of the visual features and mutual fund characteristics of prospectuses
〇Shingo Sashida1, Mitsuyoshi Imamura2, Kei Nakagawa3 (1. TRAILBLAZER inc., 2. Institute of Systems and Information Engineering, University of Tsukuba, 3. Graduate School of Business, Osaka Metropolitan University)
[1Yin-A-45]Classification of renal dysfunction levels using pulse waves
〇Takato Araki1, Atushi Yamasaki1, Hiroyuki Kitajima1, Makoto Ishizawa1, Tetsuo Minamino1 (1. Kagawa university)
[1Yin-A-46]Layer-wise Analysis of Prosodic and Phonemic Information Acquisition in Self-Supervised Speech Models
〇Masaru Tanibata1, Shun Takahashi1, Hiroki Ouchi1, Sakriani Sakti1 (1. Nara Institute of Science and Technology)
[1Yin-A-47]Automated Earthquake Hypocenter Determination by Integrating Deep-Learning Phase Picking with Waveform Stacking
〇Mitsuyuki Ozawa1 (1. JGI,Inc.)
[1Yin-A-48]Generation and Utilization of Multimodal Knowledge Graphs for Datasets
〇Takashi Yamasaki1, Hiroki Yaemori1 (1. Computermind Corp.)
[1Yin-A-49]Tensor Brain: Structured Probabilistic Modeling for Neural Population Activity with Tensor Networks
〇Yunyu Huang1, Fujia Wu1, Dairui Chen1, Xiaowei Gu4, Zhe Sun2,3, Chao LI2 (1. Graduate School of Health Data Science, Juntendo University, 2. Faculty of Health Data Science, Juntendo University, 3. Graduate School of Medicine, Juntendo University, 4. RIKEN Center for Brain Science)
[1Yin-A-50]Document Structure Graph RAG for Evidence-Grounded Regulatory QA
〇Taisei Hirayama1, Akihiro Matsufuji2, Yuki Ogawa2, Sakaji Hiroki1, Itsuki Noda1 (1. Hokkaido University, 2. Panasonic Coporation)
[1Yin-A-51]Formulation of the Social Dilemma in the Externalization and Sharing of Latent Knowledge
〇Jun Kawamura1, Kenta Hakoishi1,2 (1. Nippon Koei Co., Ltd., 2. Graduate School, University of Tsukuba)
[1Yin-A-52]Word2Vec in Hyperbolic SpaceWord Co-occurrence and Semantic Hierarcies
〇Tatsuki Ebisawa1, Mahito Sugiyama1 (1. National Institute of Informatics)
[1Yin-A-53]Synthetic Generation of Segmented Microstructures of MoSiBTiC Alloys
〇Shunto Obana1, Chihana Kudo1, Shugo Tomioka2, Takahiro Kaneko3, Kyosuke Yoshimi3 (1. Tohoku Univ. Eng. (Grad.), 2. Tohoku Univ. Eng. (Undergrad.), 3. Tohoku Univ. Eng.)
[1Yin-A-54]Construction of a Commercial Dynamics Dataset Focusing on Store Opening and Closing Events
〇Ryosei Kobayashi1, Koutarou Tamura2,1, Yohei Shida1 (1. University of Tsukuba, 2. Nomura Research Institute, Ltd.)
[1Yin-A-55]Implementation of Molecular Complex 3D Structure Prediction Models for Accelerating Drug Discovery Research
〇Shotaro Maedera Maedera1, Shogo Suga1 (1. Daiichi Sankyo Company, Limited)
[1Yin-A-56]Interpretable Neuro-Symbolic Inference for Analog Clock Time Recognition with DeepProbLog
〇Ruka Maruyama1, Takashi Kaburagi1 (1. International Christian University)
[1Yin-A-57]Analyzing Numerical Sequence Understanding in Large Language Models: A Hidden Vector Analysis Focusing on Maximum Values
〇Mizuki Arai1,2, Tatsuya Ishigaki2, Yusuke Miyao3,2, Hiroya Takamura2, Ichiro Kobayashi1,2 (1. Ochanomizu Univ., 2. Artificial Intelligence Research Center, 3. Univ. of Tokyo)
[1Yin-A-58]A Literature Filtering Method Based on Citation Networks: Citation Noise Removal for Evaluating the Disruption Index
〇Ryosuke Motegi1,2, Shogo Matsuno1 (1. The University of Electro-Communications, 2. Japan Data Science Consortium Co. Ltd.)
[1Yin-A-59]Validity Verification of Financial Texts Using a Linguistic Pipeline
〇Yasunori Hokazono1, Mai Matsubara2, Asa Tomita2, Mitsuru Tsunoda1, Koutarou Tamura1, Daisuke Bekki2 (1. Nomura Research Institute,Ltd, 2. Ochanomizu University)
[1Yin-A-60]Bridging the Query-Document Gap: Question-Based Vector Indexing for Retrieval Augmented Generation (RAG)
〇Takehiko Yamaguchi1, Futoshi Iwama1, Mikio Takeuchi1, Mich Tatsubori1 (1. IBM Japan, Ltd.)
[1Yin-A-61]Quantifying Complex Core Technology Competence Using Knowledge Networks
〇Shuhei Ikeda1, Mitsuo Yoshida1 (1. University of Tsukuba)
[1Yin-A-62]Investigating Three-Dimensional Optic Nerve Head Structure Estimation from Monocular Fundus Images
〇Zongxian Li1, Goshiro Yamamoto1, Sho Mitarai1, Chang Liu1, Kazumasa Kishimoto1, Akihiro Tsutsumino1, Kenji Suda1, Hiroshi Tamura1 (1. Kyoto University)
[1Yin-A-63]Evaluating the Distributional Fidelity of TabDiff on Tabular Data with a Dominant Majority Value
〇Naoki Ikeda1, Tomoki Oya1, Masato Taya1 (1. KDDI Research, Inc.)
[1Yin-A-64]Exploring the Mechanism of the The Dress Color Illusion Using Machine Learning
〇Hibiki Arakawa1, Toshihiko Matsuka1 (1. Chiba University)
[1Yin-A-65]Research on Emotion-Transition Music Recommendation System Based on the ISO Principle and LLM-Based Audio Feature EstimationAiming for Active Transformation of Psychological States via Music
〇Yinuo Fan1 (1. Yokohama International School)
[1Yin-A-66]Study on Conditioning Strategies for Diffusion-Model-Based Prediction of Unseen Microstructures in MoSiBTiC Alloys
〇Shugo Tomioka1, Chihana Kudo2, Shunto Obana2, Takahiro Kaneko3, Kyosuke Yoshimi3 (1. Tohoku Univ. Eng. (Undergrad.), 2. Tohoku Univ. Eng. (Grad.), 3. Tohoku Univ. Eng.)
[1Yin-A-67]Effect of fine tunning on latent space of LLM based on large scale data of food texture
〇Kouta kadowaki1, Takemasa Makoto1 (1. Graduate School of Tokyo Denki University)