• Mimo Shirasaka, Tatsuya Matsushima, Soshi Tsunashima, Yuya Ikeda, Aoi Horo, So Ikoma, Chikaha Tsuji, Hikaru Wada, Tsunekazu Omija, Dai Komukai, Yutaka Matsuo, Yusuke Iwasawa. “Self-Recovery Prompting: Promptable General Purpose Service Robot System with Foundation Models and Self-Recovery”, 2024 IEEE International Conference on Robotics and Automation (ICRA2024). 2024.
  • So Kuroki, Jiaxian Guo, Tatsuya Matsushima, Takuya Okubo, Masato Kobayashi, Yuya Ikeda, Ryosuke Takanami, Paul Yoo, Yutaka Matsuo, Yusuke Iwasawa. “GenDOM: Generalizable One-shot Deformable Object Manipulation with Parameter-Aware Policy”, 2024 IEEE International Conference on Robotics and Automation (ICRA2024). 2024.
  • Open X-Embodiment Collaboration, Abhishek Padalkar, Acorn Pooley, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alex Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anikait Singh, Animesh Garg, Anthony Brohan, Antonin Raffin, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Brian Ichter, Cewu Lu, Charles Xu, Chelsea Finn, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Chuer Pan, Chuyuan Fu, Coline Devin, Danny Driess, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Federico Ceola, Fei Xia, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Giulio Schiavi, Gregory Kahn, Hao Su, Hao-Shu Fang, Haochen Shi, Heni Ben Amor, Henrik I Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey Bingham, Jiajun Wu, Jialin Wu, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jitendra Malik, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Joseph J. Lim, João Silvério, Junhyek Han, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Zhang, Krishan Rana, Krishnan Srinivasan, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Lionel Ott, Lisa Lee, Masayoshi Tomizuka, Max Spero, Maximilian Du, Michael Ahn , Mingtong Zhang, Mingyu Ding, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J Joshi, Niko Suenderhauf, Norman Di Palo, Nur Muhammad Mahi Shafiullah, Oier Mees, Oliver Kroemer, Pannag R Sanketi, Paul Wohlhart, Peng Xu, Pierre Sermanet, Priya Sundaresan, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martín-Martín, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante, Sean Kirmani, Sergey Levine, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Sudeep Dasari, Suneel Belkhale, Takayuki Osa, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xuanlin Li, Yao Lu, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zhuo Xu, Zichen Jeff Cui. “Open X-Embodiment: Robotic Learning Datasets and RT-X Models”, 2024 IEEE International Conference on Robotics and Automation (ICRA2024). 2024.
  • Jiaxian Guo*, Bo Yang*, Paul Yoo, Yuchen Lin, Yutaka Matsuo, Yusuke Iwasawa. “Suspicion-Agent: Playing Imperfect Information Games with Theory of Mind Aware GPT-4”, AAAI RL+LLM 2024. (Oral)
  • Xin Zhang*, Jiaxian Guo*, Paul Yoo, Yutaka Matsuo, Yusuke Iwasawa. “Paste, Inpaint and Harmonize via Denoising: Subject-Driven Image Editing with Pre-Trained Diffusion Model”, ICASSP 2024. 2024.
  • Qi Cao, Takeshi Kojima, Yutaka Matsuo, Yusuke Iwasawa. “Unnatural Error Correction: GPT-4 Can Almost Perfectly Handle Unnatural Scrambled Text”, Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023). 2023.
  • Paul Yoo, Jiaxian Guo, Yutaka Matsuo, Shixiang Shane Gu. “DreamSparse: Escaping from Plato’s Cave with 2D Frozen Diffusion Model given Sparse Views”, Advances in Neural Information Processing Systems 2023 (NeurIPS 2023). December 2023.
  • Iffat Maab, Edison Marrese-Taylor, Yutaka Matsuo. “Target-Aware Contextual Political Bias Detection in News”, IJCNLP-AACL 2023. 2023.
  • Toshinori Kitamura, Tadashi Kozuno, Yunhao Tang, Nino Vieillard, Michal Valko, Wenhao Yang, Jincheng Mei, Pierre Ménard, Mohammad Gheshlaghi Azar, Remi Munos, Olivier Pietquin, Matthieu Geist, Csaba Szepesvari, Wataru Kumagai, Yutaka Matsuo. “Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice”, International Conference on Machine Learning (ICML 2023). 2023.
  • Shohei Taniguchi, Masahiro Suzuki, Yusuke Iwasawa, Yutaka Matsuo. “End-to-end Training of Deep Boltzmann Machines by Unbiased Contrastive Divergence with Local Mode Initialization”, International Conference on Machine Learning (ICML 2023). 2023.
  • Yoshimasa Tawatsuji, Yuta Ashihara, Naoya Arakawa, Hiroshi Yamakawa, “BRAES: Developing Brain Reference Architecture Editorial System for Accumulating Hypotheses on Neural Functionality”, INCF Neuroinformatics Assembly 2023, 517, 2023.
  • Yuta Ashihara, Hiroshi Yamakawa, Iriya Horiguchi, “Proposing a Database Extracting Anatomical Structures from Neuroscience Literature and Evaluating Its Information Credibility”, INCF Neuroinformatics Assembly 2023, 518, 2023.
  • Yuta Ashihara, Hiroshi Yamakawa, Iriya Horiguchi, Yutaka Matsuo, “BDBRA: Database for extracting descriptions of neural projections and brain regions from neuroscience literature with dialogue prompts”, Computational Neuroscience 2023, P128, 2023.
  • Hiroshi Yamakawa, Ayako Fukawa, Naoya Arakawa, Yoshimasa Tawatsuji, Yuta Ashihara , Yutaka Matsuo, “Proposal of an function-oriented SCID method for reverse engineering a wide range of brain regions”, Computational Neuroscience 2023, P127, 2023.
  • Paul Yoo, Jiaxian Guo, Xin Zhang, Yutaka Matsuo, Shixiang Shane Gu. “DreamSparse: Escaping from Plato’s Cave with 2D Frozen Diffusion Model given Sparse Views”, XRNerf workshop of The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2023 (CVPR 2023). May 2023.
  • Xin Zhang, Jiaxian Guo, Paul Yoo, Yutaka Matsuo, Yusuke Iwasawa. “Paste, Inpaint and Harmonize via Denoising: Subject-Driven Image Editing with Pre-Trained Diffusion Model”, AI4CC workshop of The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2023 (CVPR 2023). May 2023.
  • Hiroki Furuta, Yusuke Iwasawa, Yutaka Matsuo, and Shixiang Shane Gu. “A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation”, International Conference on Learning Representations 2023 (ICLR2023, notable-top-25%). May 2023.
  • Akihiro Nakano, Masahiro Suzuki, Yutaka Matsuo. “Interaction-Based Disentanglement of Entities for Object-Centric World Models”, International Conference on Learning Representations 2023 (ICLR2023). May 2023.
  • Machel Reid, Vincent Josua Hellendoorn, Graham Neubig. “DiffusER: Diffusion via Edit-based Reconstruction”, International Conference on Learning Representations 2023 (ICLR2023). May 2023.
  • Hiroshi Yamakawa, “Whole Brain Architecutre Approace for AGI development”, Japan AI Alignment Conference 2023 , March 2023.
  • Hiroshi Yamakawa, Yutaka Matsuo, “Life revolution and Digital sapience”, Japan AI Alignment Conference 2023 , March 2023.
  • Yoshimasa Tawatsuji, Yudai Suzuki, Hiroshi Yamakawa “Investigating the anatomy and computational models of the cerebral cortex”, The 1st International Symposium of “Biology of Behavior Change”. March 2023.
  • Hiroshi Yamakawa. “Design Methodology for Information Processing Architecture Learned from the Brain”, 3rd International Symposium & Young Investigator Symposium on Brain Information Dynamics 2023. January 2023.
  • Itsuki Okimura, Machel Reid, Makoto Kawano and Yutaka Matsuo. “On the Impact of Data Augmentation on Downstream Performance in Natural Language Processing”. Proceedings of the Third Workshop on Insights from Negative Results in NLP, Online and Dublin, Ireland. Association for Computational Linguistics. Best Paper Award [paper]
  • Takeshi Kojima, Yutaka Matsuo, and Yusuke Iwasawa. “Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature Alignment”, the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022)[paper]
  • David Ifeoluwa Adelani, Jesujoba Oluwadara Alabi, Angela Fan, Julia Kreutzer, Xiaoyu Shen, Machel Reid, Dana Ruiter, Dietrich Klakow, Peter Nabende, Ernie Chang, Tajuddeen Gwadabe, Freshia Sackey, Bonaventure F. P. Dossou, Chris Chinenye Emezue, Colin Leong, Michael Beukman, Shamsuddeen Hassan Muhammad, Guyo Dub Jarso, Oreen Yousuf, Andre Niyongabo Rubungo, Gilles HACHEME, Eric Peter Wairagala, Muhammad Umair Nasir, Benjamin Ayoade Ajibade, Tunde Oluwaseyi Ajayi, Yvonne Wambui Gitau, Jade Abbott, Mohamed Ahmed, Millicent Ochieng, Anuoluwapo Aremu, Perez Ogayo, Jonathan Mukiibi, Fatoumata Ouoba Kabore, Godson Koffi KALIPE, Derguene Mbaye, Allahsera Auguste Tapo, Victoire Memdjokam Koagne, Edwin Munkoh-Buabeng, Valencia Wagner, Idris Abdulmumin, Ayodele Awokoya, “A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation”. The 2022 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2022). July 2022. Association for Computational Linguistics[paper]
  • Machel Reid and Mikel Artetxe “PARADISE: Exploiting Parallel Data for Multilingual Sequence-to-Sequence Pretraining”. The 2022 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2022). July 2022. Association for Computational Linguistics. [paper]
  • Machel Reid and Mikel Artetxe. “PARADISE: Exploiting Parallel Data for Multilingual Sequence-to-Sequence Pretraining”. 7th Workshop on Representation Learning for NLP (non-archival), ACL 2022 [paper]
  • Hiroki Furuta, Yutaka Matsuo, and Shixiang Shane Gu. “Generalized Decision Transformer for Offline Hindsight Infomation Matching”, International Conference on Learning Representations 2022 (ICLR2022, Spotlight). April 2022.
  • Kazutoshi Shinoda, Yuki Takezawa, Masahiro Suzuki, Yusuke Iwasawa, Yutaka Matsuo, Improving the Robustness to Variations of Objects and Instructions with a Neuro-Symbolic Approach for Interactive Instruction Following , Workshop on Novel Ideas in Learning-to-Learn through Interaction, EMNLP 2021, 2021.
  • Yusuke Iwasawa, and Yutaka Matsuo. “Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization”, Advances in Neural Information Processing Systems 2021 (NeurIPS2021, Spotlight). December 2021.
  • Hiroki Furuta, Tadashi Kozuno, Tatsuya Matsushima, Yutaka Matsuo, and Shixiang Shane Gu. “Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning”, Advances in Neural Information Processing Systems 2021 (NeurIPS2021). December 2021.
  • Machel Reid, Junjie Hu, Graham Neubig and Yutaka Matsuo. “AfroMT: Pretraining Strategies and Reproducible Benchmarks for Translation of 8 African Languages”, The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021). November 2021. Association for Computational Linguistics.
  • Machel Reid, Edison Marrese-Taylor and Yutaka Matsuo. “Subformer: Exploring Weight Sharing for Parameter Efficiency in Generative Transformers”, Findings of The 2021 Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP 2021). November 2021. Association for Computational Linguistics.
  • Hiroki Furuta, Tatsuya Matsushima, Tadashi Kozuno, Yutaka Matsuo, Sergey Levine, Ofir Nachum, and Shixiang Shane Gu. “Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning”, International Conference on Machine Learning 2021 (ICML2021). July 2021.
  • Machel Reid and Victor Zhong. “LEWIS: Levenshtein Editing for Unsupervised Text Style Transfer”, Findings of the Association for Computational Linguistics: The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021). August 2021.
  • Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo. Estimating Disentangled Belief about Hidden State and Hidden Task for Meta-Reinforcement Learning. Learning for Dynamics and Control (L4DC). June 2021.
  • Makoto Kawano, Wataru Kumagai, Akiyoshi Sannai, Yusuke Iwasawa, and Yutaka Matsuo. “Group Equivariant Conditional Neural Processes”, International Conference on Learning Representations 2021 (ICLR2021). May 2021.[slid][poster]
  • Tatsuya Matsushima*, Hiroki Furuta*, Yutaka Matsuo, Ofir Nachum, and Shixiang Shane Gu. “Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization”, International Conference on Learning Representations 2021 (ICLR2021). May 2021. (*Equal contribution.)
  • Edison Marrese-Taylor, Machel Reid and Yutaka Matsuo. Variational Inference for Learning Representations of Natural Language Edits. The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21). February 2021.
  • Cristian Rodriguez-Opazo, Edison Marrese-Taylor, Basura Fernando, Hongdong Li and Stephen Gould. “DORi: Discovering Object Relationships for Moment Localization of a Natural Language Query in a Video”. The IEEE Winter Conference on Applications of Computer Vision (WACV). January 2021.
  • Hiroshi Yamakawa, Naoya Arakawa and Koichi Takahashi, “Whole brain reference architecture to evaluate biological plausibility of human-like artificial intelligence”, International Symposium on Artificial Intelligence and Brain Science, P-30, 10-12, October, 2020.
  • Mei Sasaki, Naoya Arakawa and Hiroshi Yamakawa, “Construction of a whole brain reference architecture (WBRA)”, International Symposium on Artificial Intelligence and Brain Science, P-31, 10-12, October, 2020.
  • Yoshimasa Tawatsuji, Naoya Arakawa and Hiroshi Yamakawa, “Knowledge representation for neural circuits subserving saccadic eye movement based on a Brain Information Flow description”, International Symposium on Artificial Intelligence and Brain Science, P-45, 10-12, October, 2020.
  • Heecheol Kim, Masanori Yamada, Kosuke Miyoshi, Tomoharu Iwata and Hiroshi Yamakawa, “Reinforcement Learning in Latent Action Sequence Space”, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2020), 2020.
  • Machel Reid, Edison Marrese-Taylor, and Yutaka Matsuo. “VCDM: Leveraging Variational Bi-encoding and Deep Contextualized Word Representations for Improved Definition Modeling”, The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020). November 2020. Association for Computational Linguistics.
  • Edison Marrese-Taylor, Cristian Rodriguez-Opazo, Jorge A. Balazs, Stephen Gould and Yutaka Matsuo. A Multi-Modal Approach to Fine-Grained Opinion Mining on Video Reviews. Second Grand-Challenge and Workshop on Multimodal Language (Challenge-HML). July, 2020. Association for Computational Linguistics.
  • Edison Marrese-Taylor, Machel Reid and Yutaka Matsuo. Variational Inference for Learning Representations of Natural Language Edits. 5th Workshop on Representation Learning for NLP (non-archival). July, 2020. Association for Computational Linguistics.
  • Machel Reid, Edison Marrese-Taylor and Yutaka Matsuo. Combining Pretrained High-Resource Embeddings and Subword Representations for Low-Resource Languages. Proceedings of the 1st AfricaNLP Workshop. International Conference of Learning Representation (ICLR20). April 2020.
  • Cristian Rodriguez-Opazo, Edison Marrese-Taylor, Fatemeh Sadat Saleh, Hongdong Li and Stephen Gould. Proposal-free Temporal Moment Localization of a Natural-Language Query in Video using Guided Attention. The IEEE Winter Conference on Applications of Computer Vision (WACV). March 2020.
  • Yusuke Iwasawa, Kei Akuzawa, Yutaka Matsuo, “Stabilizing Adversarial Invariance Induction from Divergence Minimization Perspective”, IJCAI2020
  • Tatsuya Matsushima, Naruya Kondo, Yusuke Iwasawa, Kaoru Nasuno, Yutaka Matsuo. Measuring Task Uncertainty in Meta-Imitation Learning. Proceedings of the workshop on Deep Probabilistic Generative Models for Cognitive Architecture in Robotics at IROS2019. November 2019.
  • Shizuma Kubo, Yusuke Iwasawa, Masahiro Suzuki, Yutaka Matsuo: UVTON: UV Mapping to Consider the 3D Structure of a Human in Image-Based Virtual Try-On Network. International Conference on Computer Vision Workshop, November, 2019 (ICCVW 2019).
  • Edison Marrese-Taylor, Pablo Loyola, Yutaka Matsuo: An Edit-centric Approach for Wikipedia Article Quality Assessment. Proceedings of the 5th Workshop on Noisy User-generated Text. Association for Computational Linguistics. Hong Kong, China, November, 2019.
  • Hiromi Nakagawa, Yusuke Iwasawa, Yutaka Matsuo, Graph-based Knowledge Tracing: Modeling Student Proficiency Using Graph Neural Network, Proc. 2019 IEEE/WIC/ACM Web Intelligence (WI 2019), 2019. (Best Student Paper Award)
  • Kei Akuzawa, Yusuke Iwasawa, and Yutaka Matsuo. Adversarial Invariant Feature Learning with Accuracy Constraint for Domain Generalization. ECMLPKDD, 2019
  • Jorge A. Balazs and Yutaka Matsuo, Gating Mechanisms for Combining Character and Word-level Word Representations: An Empirical Study, in Proceedings of NAACL-HLT: Student Research Workshop, Minneapolis, USA, Association for Computational Linguistics (ACL), June 2019.
  • Keiichi Ochiai, Yusuke Fukazawa, Wataru Yamada, Hiroyuki Manabe, Yutaka Matsuo: Analyzing the Effects of Location-based Service for Mobility Pattern and Location Prediction, The 13th International AAAI Conference on Weblogs and Social Media (ICWSM 2019), June 2019, Poster.
  • Hiromi Nakagawa, Yusuke Iwasawa, Yutaka Matsuo. Graph-based Knowledge Tracing: Modeling Student Proficiency Using Graph Neural Network, International Conference of Learning Representation (ICLR19) Workshop, 2019.
  • A. R. A. Ghani, K. Nishanth, Ai Nakajima, N. Kimura, P. Radkohl, S. Iwai, Y. Kawazoe, Y. Iwasawa, K. Nakayama, Y. Matsuo: An analysis of human gaze data 
for autonomous medical image diagnostics, The 28th Annual Conference of the Japanese Neural Network Society (JNNS), Workshop, 2018. (accepted)
  • Jorge A. Balazs, Edison Marrese-Taylor and Yutaka Matsuo. IIIDYT at IEST 2018: Implicit Emotion Classification with Deep Contextualized Word Representations. Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA), co-located with EMNLP 2018, Brussels, Belgium, November 2018. Association for Computational Linguistics.
  • Pablo Loyola, Edison Marrese-Taylor, Jorge A. Balazs, Yutaka-Matsuo and Fumiko Satoh. Content Aware Source Code Change Description Generation. In Proceedings of the 11th International Conference on Natural Language Generation (INLG). Tillburg, The Netherlands, November 2018. Association for Computational Linguistics.
  • Suzana Ilic, Edison Marrese-Taylor, Jorge A. Balazs and Yutaka-Matsuo. Deep contextualized word representations for detecting sarcasm and irony. In proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA). Brussels, Belgium, November 2018. Association for Computational Linguistics.
  • Hiromi Nakagawa, Yusuke Iwasawa, Yutaka Matsuo. End-to-End Deep Knowledge Tracing by Learning Binary Question-Embedding. In 2018 IEEE International Conference on Data Mining Workshops (ICDMW). IEEE, 2018.
  • Edison Marrese-Taylor, Ai Nakajima, Yutaka Matsuo and Ono Yuichi. Learning to Automatically Generate Fill-In-The-Blank Quizzes. In Proceedings of the 5th Workshop on Natural Language Processing Techniques for Educational Applications (NLPTEA). Melbourne, Australia, July 2018. Association for Computational Linguistics.
  • Edison Marrese-Taylor, Suzana Ilic, Jorge A. Balazs, Yutaka Matsuo and Helmut Prendinger. IIIDYT at SemEval-2018 Task 3: Irony detection in English tweets. In Proceedings of the 12th International Workshop on Semantic Evaluation (SemEval). New Orleans, USA, June 2018. Association for Computational Linguistics.
  • Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo: Expressive Speech Synthesis via Modeling Expressions with Variational Autoencoder, Interspeech, 2018
  • Joji Toyama, Yusuke Iwasawa, Kotaro Nakayama, Yutaka Matsuo: Expert-based reward function training: the novel method to train sequence generators, International Conference of Learning Representation (ICLR18) Workshop, 2018
  • Hiroaki Shioya, Yusuke Iwasawa, Yutaka Matsuo: Extending Robust Adversarial Reinforcement Learning Considering Adaptation and Diversity, International Conference of Learning Representation (ICLR18) Workshop, 2018
  • A.R. A.Ghani, N. Koganti, A. Solano, Y. Iwasawa, K. Nakayama, Y. Matsuo: Designing Efficient Neural Attention Systems Towards Achieving Human-level Sharp Vision, International Conference of Learning Representation (ICLR18) Workshop, 2018
  • Yusuke Iwasawa, Kotaro Nakayama, Yutaka Matsuo: Censoring Representations with Multiple-Adversaries over Random Subspaces, International Conference of Learning Representation (ICLR18) Workshop, 2018
  • Shohei Ohsawa, Kei Akuzawa, Tatsuya Matsushima, Gustavo Bezerra, Yusuke Iwasawa, Hiroshi Kajino, Seiya Takenaka, Yutaka Matsuo: Neuron as an Agent, International Conference of Learning Representation (ICLR18) Workshop (Invitation), 2018
  • Keiichi Ochiai, Yusuke Fukazawa, Wataru Yamada, Hiroyuki Manabe, Yutaka Matsuo: “Pokémon Go Influences Where You Go: Analyzing the Effects of Location-based Services for Location Prediction.” Asian CHI Symposium: Emerging HCI Research Collection in ACM Conference on Human Factors in Computing Systems (CHI) 2018. Montréal, Canada.
  • Nishanth Koganti, Abdul R. A. Ghani, Yusuke Iwasawa, Kotaro Nakayama, Yutaka Matsuo: “Virtual Reality as a User-friendly Interface for Learning from Demonstrations.” Demonstrations Track, Conference on Human Factors in Computing Systems, (CHI). Montreal, Canada, April 21-26, 2018.
  • Naoki Nonaka, Kotaro Nakayama, Yutaka Matsuo: “Contents Popularity Prediction by Vector Representation Learned from User Action History.” DATA ANALYTICS 2017 (2017)
  • Masaru Isonuma, Toru Fujino, Junichiro Mori, Yutaka Matsuo and Ichiro Sakata: Extractive Summarization Using Multi-Task Learning with Document Classification, Proc. EMNLP 2017, 2017
  • Pablo Loyola and Yutaka Matsuo. Learning Feature Representations from Change Dependency Graphs for Defect Prediction. In
    Proceedings of the 28th IEEE International Symposium on Software Reliability Engineering (ISSRE). Toulouse, France, October 23-26, 2017.
  • Edison Marrese-Taylor, Jorge A. Balazs and Yutaka Matsuo. Mining fine-grained opinions on closed captions of youtube videos with an attention-rnn. In Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA), Copenhagen, Denmark, September 2017. Association for Computational Linguistics.
  • Jorge A. Balazs, Edison Marrese-Taylor, Pablo Loyola and Yutaka Matsuo. Refining Raw Sentence Representations for Textual Entailment Recognition via Attention. In RepEval 2017: The Second Workshop on Evaluating Vector Space Representations for NLP, co-located with EMNLP 2017. Copenhagen, Denmark, September 7-11, 2017. Association for Computational Linguistics.
  • Edison Marrese-Taylor and Yutaka Matsuo. EmoAtt at EmoInt Shared Task 2017: Inner attention sentence embedding for emotion intensity. In Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA), Copenhagen, Denmark, September 2017. Association for Computational Linguistics.
  • Pablo Loyola, Edison Marrese-Taylor and Yutaka Matsuo. A Neural Architecture for Generating Natural Language Descriptions from Source Code Changes. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL). Vancouver, Canada, July 30-August 4, 2017.
  • Edison Marrese-Taylor and Yutaka Matsuo. Replication issues in syntax-based aspect extraction for opinion mining. In Proceedings of the Student Research Workshop at the 15th Conference of the European Chapter of the Association for Computational Linguistics, pages 23–32, Valencia, Spain, April 2017. Association for Computational Linguistics.
  • Pablo Loyola and Yutaka Matsuo. Learning Graph Representations for Improving Defect Prediction. In Proceedings of the 39th IEEE/ACM International Conference on Software Engineering (ICSE). Buenos Aires, Argentina, May 20-28, 2017.
  • Shuhei Iitsuka, Masashi Hamano, Kazuya Kawakami, Seigen Hagiwara, Takayoshi Kawakami, Takayuki Hamada, and Yutaka Matsuo. Inferring Win–Lose Product Network from User Behavior. In Proceedings of 2017 IEEE/WIC/ACM International Conference on Web Intelligence
  • Yusuke Iwasawa, Kotaro Nakayama, Ikuko Yairi and Yutaka Matsuo: Privacy Issues Regarding the Application of DNNs to Activity-Recognition using Wearables and Its Countermeasures by Use of Adversarial Training, The 26th International Joint Conference on Artificial Intelligence (IJCAI2017), August19–25, Melbourne, Australia (Acceptance Rate: 25%)
  • Mohammadamin Barekatain, Miquel Marti, Hsueh-Fu Shih, Samuel Murray, Kotaro Nakayama, Yutaka Matsuo and Helmut Prendinger: Okutama-Action: An Aerial View Video Dataset for Concurrent Human Action Detection, BMTT-PETS Workshop on Tracking and Surveillance (CVPR Workshops)
  • Masahiro Suzuki, Kotaro Nakayama, Yutaka Matsuo: Joint Multimodal Learning with Deep Generative Models, ICLR 2017 workshop, April24–26, 2017, Toulon, France.
  • Masatoshi Uehara, Issei Sato, Masahiro Suzuki, Kotaro Nakayama, Yutaka Matsuo: b-GAN: New Framework of Generative Adversarial Networks, Workshop on Adversarial Training, NIPS 2016, December5–10, Barcelona, Spain.
  • Keiichi Ochiai, Daisuke Torii, Yusuke Fukazawa and Yutaka Matsuo: Fast Spatial Twitter Search Method Using Location Adaptive Range Query, The Ninth International Conference on Mobile Computing and Ubiquitous Networking (ICMU 2016),October4-6,DFKI Kaiserslautern,Kaiserslautern,Germany. Best Poster Award.
  • Pablo Loyola, Francisco Szederkenyi, and Yutaka Matsuo: Using the Web to Support Political Analysis: Identifying Legislative Bill Ideology in the Chilean Parliament. Proc. 8th ACM Conference on Web Science (WebSci 2016), pp.190-199, 2016,May22-25,Hannover,Germany
  • Yusuke Iwasawa, Koya Nagamine, Ikuko Eguchi Yairi, Yutaka Matsuo: Toward an Automatic Road Accessibility Information Collecting and Sharing Based on Human Behavior Sensing Technologies of Wheelchair Users, Proc. of the 6th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN2015), 2015, Berlin, German
  • Koya Nagamine, Yusuke Iwasawa, Yutaka Matsuo, and Ikuko Eguchi Yairi: An Estimation of Wheelchair User’s Muscle Fatigue by Accelerometers on Smart Devices. Proc. 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2015 ACM International Symposium on Wearable Computers (UbiComp/ISWC) Adjunct, pp.57-60, 2015
  • Yusuke Iwasawa, Koya Nagamine, Yutaka Matsuo, Ikuko Eguchi Yairi: Road Sensing: Personal Sensing and Machine Learning for Development of Large Scale Accessibility Map, Proc. of the 17th International ACM SIGACCESS Conference on Computers and Accessibility, Lisbon, Portgul
  • Shuhei Iitsuka, Yutaka Matsuo: Website Optimization Problem and Its Solutions. Proc. 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD2015), pp. 447-456, 2015.
  • Rahul Kamath, Masanao Ochi, and Yutaka Matsuo: Understanding Rating Behavior and Predicting Ratings by Identifying Representative Users. Proc. 29th Pacific Asia Conference on Language, Information and Computation (PACLIC 29), 2015
  • Kotaro Nakayama, Yutaka Matsuo: MIGSOM: A SOM Algorithm for Large Scale Hyperlinked Documents Inspired by Neuronal Migration. DASFAA (1) , 79-94, 2014
  • Edison Marrese-Taylor, Juan D. Velásquez, Felipe Bravo-Marquez, Yutaka Matsuo: Identifying Customer Preferences about Tourism Products Using an Aspect-based Opinion Mining Approach. Proc. 17th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2013), pp. 182-191, 2013
  • Shohei Ohsawa, Yutaka Matsuo: Like prediction: modeling like counts by bridging facebook pages with linked data. Proc. 22nd International World Wide Web Conference (WWW2013) , pp. 541-548, 2013
  • Takeshi Sakaki, Fujio Toriumi, Kousuke Shinoda, Kazuhiro Kazama, Satoshi Kurihara, Itsuki Noda, Yutaka Matsuo: Regional analysis of user interactions on social media in times of disaster, Proc. 22nd International World Wide Web Conference (WWW2013) , pp. 235-236, 2013
  • Masanao Ochi, Yutaka Matsuo, Makoto Okabe, and Rikio Onai, Rating Prediction by Correcting User Review Bias, Proc. 2012 IEEE/WIC/ACM Web Intelligence (WI 2012), 2012
  • Takeshi Sakaki, Yutaka Matsuo, Tadashi Yanagihara, Naiwala Chandrasiri, and Kazunari Nawa.Real-time event extraction for driving information from social sensors, Proc. IEEE International Conference on Cyber Technology in Automation, Control, and Intelligient Systems, 2012 Yutaka Matsuo: Social Network Mining for People Search, Proc. International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2011(招待講演)
  • Kotaro Nakayama, Yutaka Matsuo: A self organizing document map algorithm for large scale hyperlinked data inspired by neuronal migration, Proc. 20th International World Wide Web Conference (WWW2011), pp.95-96, 2011
  • Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuka: From actors, politicians, to CEOs: domain adaptation of relational extractors using a latent relational mapping, Proc. 20th International World Wide Web Conference (WWW2011), pp.13-14, 2011
  • Yingzi Jin, Ching-Yung Lin, Yutaka Matsuo, Mitsuru Ishizuka: Mining Longitudinal Network for Predicting Company Value, Proc. 22nd International Joint Conference on Artificial Intelligence (IJCAI2011), pp.2268-2273, 2011
  • Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuka: Relation Adaptation: Learning to Extract Novel Relations with Minimum Supervision, Proc. 22nd International Joint Conference on Artificial Intelligence (IJCAI2011), pp.2205-2210, 2011
  • Naoki Tani, Danushka Bollegala, Naiwala P. Chandrasiri, Keisuke Okamoto, Kazunari Nawa, Shuhei Iitsuka, Yutaka Matsuo: Collaborative exploratory search in real-world context. Proc. CIKM 2011: 2137-214, 2011
  • Yingzi Jin, Yutaka Matsuo, Mitsuru Ishizuka: Mining and Analyzing Social Networks, Studies in Computational Intelligence Volume 288, pp 107-123, 2010
  • Tadanobu Furukawa, Seishi Okamoto, Yutaka Matsuo, Mitsuru Ishizuka: Prediction of social bookmarking based on a behavior transition model. Proc. 2010 ACM Symposium on Applied Computing (SAC), pp. 1741-1747, 2010
  • Haibo Li, Yutaka Matsuo, Mitsuru Ishizuka: Relations Expansion: Extracting Relationship Instances from the Web, Proc. Web Intelligence, pp. 184-187, 2010
  • Haibo Li, Yutaka Matsuo, Mitsuru Ishizuka: Semantic Relation Extraction Based on Semi-supervised Learning, Proc. 6th Asia Information Retrieval Societies Conference (AIRS) , pp. 270-279, 2010
  • Yulan Yan, Haibo Li, Yutaka Matsuo, Zhenglu Yang, Mitsuru Ishizuka: Multi-View Clustering with Web and Linguistic Features for Relation Extraction, Proc. 12th International Asia-Pacific Web Conference (APWeb-2010), April 2010
  • Yulan Yan, Haibo Li, Yutaka Matsuo, Mitsuru Ishizuka: Multi-View Bootstrapping for Relation Extraction by Exploring Web Features and Linguistic Features, Proc. 11th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing-2010), March 2010
  • Takeshi Sakaki, Yutaka Matsuo: How to Become Famous in the Microblog World, Proc. 4th International AAAI Conference on Weblogs and Social Media(ICWSM2010) , May 2010, Poster paper
  • Takeshi Sakaki, Makoto Okazaki, and Yutaka Matsuo: Earthquake Shakes Twitter Users: Real-time Event Detection by Social Sensors, Proc. 18th International World Wide Web Conference (WWW2010), April 2010
  • Danushka Bollegala, Yutaka Matsuo and Mitsuru Ishizuka: Relational Duality: Unsupervised Extraction of Semantic Relations between Entities on the Web, Proc. 18th International World Wide Web Conference (WWW2010), April 2010
  • Takeshi Maeno, Nanoki Shibata, Yuya Kajikawa, and Ichiro Sakata: Transition of information sources and trend of innovation, The 19th International Conference for Management of Technology (IAMOT2010), in Cairo, Egypt (March 8-11, 2010)
  • Danushka Bollegala, Yutaka Matsuo and Mitsuru Ishizuka: A Relational Model of Semantic Similarity between Words using Automatically Extracted Lexical Pattern Clusters from the Web, Proc. Conference on Empirical Methods in Natural Language Processing (EMNLP 2009), August 2009
  • Yulan Yan, Yutaka Matsuo and Mitsuru Ishizuka: Unsupervised Relation Extraction by Mining Wikipedia Texts with Support from Web Corpus, Proc. the Joint conference of the 47th Annual Meeting of the Association for Computational Linguistics and the 4th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing (ACL-IJCNLP 2009), August 2009
  • Danushka Bollegala, Yutaka Matsuo, and Mitsuru Ishizuka: Measuring the Similarity between Implicit Semantic Relations from the Web, Proc. 18th International World Wide Web Conference (WWW2009), April 2009
  • Yutaka Matsuo and Hikaru Yamamoto: Community Gravity: Measuring Bidirectional Effects by Trust and Rating on Online Social Networks, Proc. 18th International World Wide Web Conference (WWW2009), April 2009
  • Danushka Bollegala, Yutaka Matsuo, and Mitsuru Ishizuka: Measuring the Similarity between Implicit Semantic Relations using Web Search Engines, Proc. 2nd International Conference on Web Search and Data Mining (WSDM 2009), February 2009
  • Yulan Yan, Yutaka Matsuo, Mitsuru Ishizuka and Toshio Yokoi: Annotation an Extension Layer of Semantic Structure for Natural Language Text, Proc. 2nd IEEE International Conference on Semantic Computing (ICSC), pp.174-181, Santa Clara, CA, USA, August 2008[PDF]
  • Danushka Bollegala, Yutaka Matsuo, and Mitsuru Ishizuka: WWW sits the SAT: Measuring Relational Similarity from the Web, Proc. 18th European Conference on Artificial Intelligence (ECAI 2008), August 2008[PDF]
  • Jun Karamon, Yutaka Matsuo, and Mitsuru Ishizuka: Generating Useful Network-based Features for Analyzing Social Networks, Proc. 23rd Conference on Artificial Intelligence (AAAI-08), July 2008[PDF]
  • Mizuki Oka and Yutaka Matsuo: Mining Scholarly Semantic Networks from the Web, Proc. 12th International Conference Information Visualisation (IV08), July 2008
  • Danushka Bollegala, Yutaka Matsuo, and Mitsuru Ishizuka: Mining for Personal Name Aliases on the Web, poster, Proc. 17th International World Wide Web Conference (WWW2008), April 2008
  • Danushka Bollegala, Yutaka Matsuo, and Mitsuru Ishizuka: Identification of Personal Name Aliases on the Web, WWW2008 Workshop on Social Web Search and Mining, April 2008
  • YingZi Jin, Yutaka Matsuo, and Mitsuru Ishizuka: Ranking Entities on the Web using Social Network Mining and Ranking Learning, WWW2008 Workshop on Social Web Search and Mining, April 2008
  • Tadanobu Furukawa, Yutaka Matsuo, Ikki Ohmukai, Koki Uchiyama, and Mitsuru Ishizuka: Extracting Topics and Innovators Using Topic Diffusion Process in Weblogs, poster, Proc. International Conference on Weblogs and Social Media (ICWSM), March 2008
  • Jun Karamon, Yutaka Matsuo, Hikaru Yamamoto, and Mitsuru Ishizuka: Generating Social Network Features for Link-based Classification, Proc. European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD 2007), September 2007[PDF]
  • Yutaka Matsuo, Hironori Tomobe, and Takuichi Nishimura: Robust Estimation of Google Count for Social Network Extraction, Proc. Twenty-Second Conference on Artificial Intelligence (AAAI-07), July 2007[PDF]
  • Nguyen Dat, Yutaka Matsuo, and Mitsuru Ishizuka: Relation Extraction from Wikipedia Using Subtree Mining, Proc. Twenty-Second Conference on Artificial Intelligence (AAAI-07), July 2007
  • Nguyen Dat, Yutaka Matsuo, Mitsuru Ishizuka: Relation Extraction from Wikipedia Using Subtree Mining, Proc. Twenty-Second Conference on Artificial Intelligence (AAAI-07), July 2007[PDF]
  • Tadanobu Furukawa, Yutaka Matsuo, Ikki Ohmukai, Koki Uchiyama, Mitsuru Ishizuka: Analyzing Reading Behavior by Blog Mining, Proc. Twenty-Second Conference on Artificial Intelligence (AAAI-07), July 2007
  • YingZi Jin, Yutaka Matsuo, and Mitsuru Ishizuka: Extracting Social Networks among Various Entities on the Web, Proc. Fourth European Semantic Web Conference (ESWC 2007), June 2007[PDF]
  • Yoshiyuki Namamura, Yuko Namimatsu, Nobuo Miyazaki, Yutaka Matsuo, and Takuichi Nishimura: A Method for Estimating Position and Orientation with a Topological Approach using Multiple Infrared Tags, Fourth International Conference on Networked Sensing Systems (INSS 07), June 2007
  • Danushka Bollegala, Yutaka Matsuo, and Mitsuru Isizuka: Measuring Semantic Similarity between Words using Web Search Engines, Proc. 16th International World Wide Web Conference (WWW2007), May 2007[PDF]
  • Kosuke Shinoda, Yutaka Matsuo, and Hideyuki Nakashima: Emergence of Global Network Property based on Multi-agent Voting Model, Proc. 2007 International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2007), May 2007[PDF]
  • Danushka Bollegala, Yutaka Matsuo, and Mitsuru Isizuka: An Integrated Approach to Measuring Semantic Similarity between Words using Information Available on the Web, Proc. Human Language Technologies: The Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT 2007) , April 2007[PDF]
  • Tadanobu Furukawa, Yutaka Matsuo, Ikki Ohmukai, Koki Uchiyama, and Mitsuru Ishizuka: Social Networks and Reading Bahavior in Blogosphere, Proc. International Conference on Weblogs and Social Media (ICWSM), March 2007[PDF]
  • Yutaka Matsuo, Naoaki Okazaki, Kiyoshi Izumi, Yoshiyuki Nakamura, Takuichi Nishimura, Koiti Hasida, and Hideyuki Nakashima: Inferring Long-term User Property based on Users’ Location History, Proc. 20th International Joint Conference on Artificial Intelligence (IJCAI2007), Jan. 2007[PDF]
  • Junichiro Mori, Yutaka Matsuo, and Mitsuru Ishizuka: Extracting Keyphrases to Represent Relations in Social Networks from Web, Proc. 20th International Joint Conference on Artificial Intelligence (IJCAI2007), Jan. 2007 [PDF]
  • Junichiro Mori, Takumi Tsujishita, Yutaka Matsuo, and Mitsuru Ishizuka: Extracting Relations in Social Networks from Web using Similarity between Collective Context, Proc. Fifth International Semantic Web Conference (ISWC2006), Nov. 2006[PDF]
  • Tom Hope, Noriyuki Fujimura, Masahiro Hamasaki, Yutaka Matsuo, and Takuichi Nishimura: Doing Community with IC Cards: Co-construction of Meaning and Use with Interactive Information Kiosks, Proc. Eighth International Conference on Ubiquitous Computing (UbiComp2006), 2006[PDF]
  • Danushka Bollegala, Yutaka Matsuo, and Mitsuru Ishizuka: Disambiguating Personal Names on the Web using Automatically Extracted Key Phrases, Proc. 17th European Conference on Artificial Intelligence (ECAI-06), 2006 [PDF]
  • Yutaka Matsuo, Takeshi Sakaki, Koki Uchiyama, and Mitsuru Ishizuka: Graph-based Word Clustering using Web Search Engine, Proc. 2006 Conference on Empirical Methods in Natural Language Processing (EMNLP2006), 2006[PDF]
  • Yutaka Matsuo, Masahiro Hamasaki, Hideaki Takeda, Junichiro Mori, Bollegala Danushka, Hiroyuki Nakamura, Takuichi Nishimura, Koiti Hasida, and Mitsuru Ishizuka: Spinning Multiple Social Network for Semantic Web, Proc. 21st National Conference on Artificial Intelligence (AAAI-06), 2006[PDF]
  • Yutaka Matsuo, Junichiro Mori, Masahiro Hamasaki, Keisuke Ishida, Takuichi Nishimura, Hideaki Takeda, Koiti Hasida, and Mitsuru Ishizuka: POLYPHONET: An Advanced Social Network Extraction System, Proc. 15th International World Wide Web Conference (WWW2006), pp.397-406, 2006[PDF]
  • Danushka Bollegala, Yutaka Matsuo, and Mitsuru Ishizuka: Extracting Key Phrases to Disambiguate Personal Names on the Web. Proc. Seventh International Conference on Computational Linguistics and Intelligent Text Processing (CICLing 2006), pp. 223-234, 2006[PDF]
  • Junichiro Mori, Tatsuhiko Sugiyama, and Yutaka Matsuo: Real-world Oriented Information Sharing using Social Networks. Proc. International ACM SIGGROUP Conference on Supporting Group Work (GROUP2005), pp. 81-84, 2005
  • Shigeyoshi Hiratsuka, Yutaka Matsuo, Akio Sashima, Akira Takagi, Naoaki Izumi, and Koiti Kurumatani: Smart Navigation by Lightweight Components Coordination in Ubiquitous Computing, Proc. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS2004), 2004
  • Yutaka Matsuo, Hironori Tomobe, Koiti Hasida and Mitsuru Ishizuka: Finding Social Network for Trust Calculation, Proc. 16th European Conf. on Artificial Intelligence (ECAI2004), pp.510-514, 2004[PDF]
  • Naoaki Okazaki, Yutaka Matsuo and Mitsuru Ishizuka: Improving Chronological Sentence Ordering by Precedence Relation, Proc. 20th International Conference on Computational Linguistics (COLING 04), pp.750-756, 2004[PDF]
  • Yutaka Matsuo, Hironori Tomobe, Koiti Hasida, and Mitsuru Ishizuka: Mining Social Network of Conference Participants from the Web, Proc. 2003 IEEE/WIC International Conference on Web Intelligence (WI2003), 2003
  • Yutaka Matsuo: Word Weighting based on User’s Browsing History, Proc. Ninth International Conference on User Modeling (UM’03), LNAI 2702, pp.35-33, 2003[PDF]
  • Naoaki Okazaki, Yutaka Matsuo, Naohiro, Matsumura, and Mitsuru Ishizuka: Sentence Extraction by Spreading Activation with Refined Similarity Measure, Proc. 16th International FLAIRS Conference, pp. 407–411, 2003
  • Yutaka Matsuo and Mitsuru Ishizuka: Keyword Extraction from a Single Document using Word Co-occurrence Statistical Information, Proc. 16th International FLAIRS Conference, pp. 392–396, 2003[PDF]
  • Yutaka Matsuo, Hayato Fukuta, and Mitsuru Ishizuka: Browsing Support by Highlighting Keywords based on a User’s Browsing History, Proc. IEEE International Conference on Systems, Man and Cybernetics (SMC2002), 2002
  • Naoaki Okazaki, Yutaka Matsuo, Naohiro Matsumura, Hironori Tomobe, and Mitsuru Ishizuka: Extracting Characteristic Sentences from Related Documents, Proc. Sixth International Conference on Knowledge-based Intelligent Information Engineering Systems & Applied Technologies (KES2002), pp. 1257-1261, 2002.[PDF]
  • Yutaka Matsuo: Clustering using Small World Structure, Proc. Sixth International Conference on Knowledge-based Intelligent Information Engineering Systems & Applied Technologies (KES2002), pp.1252-1256, 2002
  • Yutaka Matsuo and Mitsuru Ishizuka: Two Transformation of Clauses into Constraints and their Properties for Cost-based Hypothetical Reasoning, Proc. Seventh Pacific Rim International Conferences on Artificial Intelligence (PRICAI2002), LNAI 2417, pp.118-127, 2002
  • Yukio Ohsawa, Hirotaka Soma, Yutaka Matsuo, Naohiro Matsumura, and Masaki Usui: Featuring Web Communities based on Word Co-occurrence Structure of Communications, Proc. 11th International WWW conference (WWW2002), 2002
  • Yutaka Matsuo, Yukio Ohsawa, and Mitsuru Ishizuka: KeyWorld: Extracting Keywords in a Document as a Small World, Proc. Fourth International Conference on Discovery Science (DS2001), pp. 271-281, 2001
  • Yutaka Matsuo, Yukio Ohsawa, and Mitsuru Ishizuka: Average-clicks: A New Measure of Distance on the World Wide Web, Proc. First Asian-Pacific Conference on Web Intelligent (WI2001), LNAI 2198, pp.125-130, 2001
  • Yutaka Matsuo, Yukio Ohsawa, and Mitsuru Ishizuka: Discovering Hidden Relation behind a Link, Proc. Fifth International Conference on Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies (KES2001), pp.1183-1187, 2001
  • Yutaka Matsuo and Akihiko Yokoyama: Optimization of Installation of FACTS Device in Power System Planning by both Tabu Search and Nonlinear Programming Methods, Proc. Intelligent System Application to Power System (ISAP’99), pp.250-254, 1999
  • Mitsuru Ishizuka and Yutaka Matsuo: SL Method for Computing a Near-optimal Solution using Linear and Non-linear Programming in Cost-based Hypothetical Reasoning, Proc. 5th Pacific Rim International Conference on Artificial Intelligence (PRICAI’98), LNAI 1531, pp.611-625, 1998