Slender-Mamba: Fully Quantized Mamba in 1.58 Bits From Head to Toe - Zhenxuan Yu; Takeshi Kojima; Yutaka Matsuo; Yusuke Iwasawa (Proceedings of the 31st International Conference on Computational Linguistics, COLING 2025, Abu Dhabi, UAE, January 19-24, 2025, 2025)

Rethinking Evaluation of Sparse Autoencoders through the Representation of Polysemous Words - Gouki Minegishi; Hiroki Furuta; Yusuke Iwasawa; Yutaka Matsuo (CoRR, 2025)

Large Language Models as Theory of Mind Aware Generative Agents with Counterfactual Reflection - Bo Yang; Jiaxian Guo; Yusuke Iwasawa; Yutaka Matsuo (CoRR, 2025)

Beyond In-Distribution Success: Scaling Curves of CoT Granularity for Language Model Generalization - Ru Wang; Wei Huang; Selena Song; Haoyu Zhang; Yusuke Iwasawa; Yutaka Matsuo; Jiaxian Guo (CoRR, 2025)

Image Referenced Sketch Colorization Based on Animation Creation Workflow - Dingkun Yan; Xinrui Wang; Zhuoru Li; Suguru Saito; Yusuke Iwasawa; Yutaka Matsuo; Jiaxian Guo (CoRR, 2025)

Language Models Do Hard Arithmetic Tasks Easily and Hardly Do Easy Arithmetic Tasks - Andrew Gambardella; Yusuke Iwasawa; Yutaka Matsuo (Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, ACL 2024 - Short Papers, Bangkok, Thailand, August 11-16, 2024, 2024)

Which Programming Language and What Features at Pre-training Stage Affect Downstream Logical Inference Performance? - Fumiya Uchiyama; Takeshi Kojima; Andrew Gambardella; Qi Cao; Yusuke Iwasawa; Yutaka Matsuo (Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024, Miami, FL, USA, November 12-16, 2024, 2024)

Paste and Harmonize via Denoising: Subject-Driven Image Editing with Frozen Pre-Trained Diffusion Model - Xin Zhang; Jiaxian Guo; Paul Yoo; Yutaka Matsuo; Yusuke Iwasawa (IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2024, Seoul, Republic of Korea, April 14-19, 2024, 2024)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (IEEE International Conference on Robotics and Automation, ICRA 2024, Yokohama, Japan, May 13-17, 2024, 2024)

GenDOM: Generalizable One-shot Deformable Object Manipulation with Parameter-Aware Policy - So Kuroki; Jiaxian Guo; Tatsuya Matsushima; Takuya Okubo; Masato Kobayashi; Yuya Ikeda; Ryosuke Takanami; Paul Yoo; Yutaka Matsuo; Yusuke Iwasawa (IEEE International Conference on Robotics and Automation, ICRA 2024, Yokohama, Japan, May 13-17, 2024, 2024)

Self-Recovery Prompting: Promptable General Purpose Service Robot System with Foundation Models and Self-Recovery - Mimo Shirasaka; Tatsuya Matsushima; Soshi Tsunashima; Yuya Ikeda; Aoi Horo; So Ikoma; Chikaha Tsuji; Hikaru Wada; Tsunekazu Omija; Dai Komukai; Yutaka Matsuo; Yusuke Iwasawa (IEEE International Conference on Robotics and Automation, ICRA 2024, Yokohama, Japan, May 13-17, 2024, 2024)

On the Multilingual Ability of Decoder-based Pre-trained Language Models: Finding and Controlling Language-Specific Neurons - Takeshi Kojima; Itsuki Okimura; Yusuke Iwasawa; Hitomi Yanaka; Yutaka Matsuo (Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), NAACL 2024, Mexico City, Mexico, June 16-21, 2024, 2024)

ADOPT: Modified Adam Can Converge with Any \(β\)\(_2\) with the Optimal Rate - Shohei Taniguchi; Keno Harada; Gouki Minegishi; Yuta Oshima; Seong Cheol Jeong; Go Nagahara; Tomoshi Iiyama; Masahiro Suzuki; Yusuke Iwasawa; Yutaka Matsuo (Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024, 2024)

Interpreting Grokked Transformers in Complex Modular Arithmetic - Hiroki Furuta; Gouki Minegishi; Yusuke Iwasawa; Yutaka Matsuo (CoRR, 2024)

On the Multilingual Ability of Decoder-based Pre-trained Language Models: Finding and Controlling Language-Specific Neurons - Takeshi Kojima; Itsuki Okimura; Yusuke Iwasawa; Hitomi Yanaka; Yutaka Matsuo (CoRR, 2024)

Language Models Do Hard Arithmetic Tasks Easily and Hardly Do Easy Arithmetic Tasks - Andrew Gambardella; Yusuke Iwasawa; Yutaka Matsuo (CoRR, 2024)

Answer When Needed, Forget When Not: Language Models Pretend to Forget via In-Context Knowledge Unlearning - Shota Takashiro; Takeshi Kojima; Andrew Gambardella; Qi Cao; Yusuke Iwasawa; Yutaka Matsuo (CoRR, 2024)

Which Programming Language and What Features at Pre-training Stage Affect Downstream Logical Inference Performance? - Fumiya Uchiyama; Takeshi Kojima; Andrew Gambardella; Qi Cao; Yusuke Iwasawa; Yutaka Matsuo (CoRR, 2024)

ADOPT: Modified Adam Can Converge with Any \(β\)\(_2\) with the Optimal Rate - Shohei Taniguchi; Keno Harada; Gouki Minegishi; Yuta Oshima; Seong Cheol Jeong; Go Nagahara; Tomoshi Iiyama; Masahiro Suzuki; Yusuke Iwasawa; Yutaka Matsuo (CoRR, 2024)

Robustifying Vision Transformer Without Retraining from Scratch Using Attention-Based Test-Time Adaptation - Takeshi Kojima; Yusuke Iwasawa; Yutaka Matsuo (New Gener. Comput., 2023)

Deep Learning Pipeline for Spotting Macro- and Micro-expressions in Long Video Sequences Based on Action Units and Optical Flow - Bo Yang; Jianming Wu; Kazushi Ikeda; Gen Hattori; Masaru Sugano; Yusuke Iwasawa; Yutaka Matsuo (Pattern Recognit. Lett., 2023)

Unnatural Error Correction: GPT-4 Can Almost Perfectly Handle Unnatural Scrambled Text - Qi Cao; Takeshi Kojima; Yutaka Matsuo; Yusuke Iwasawa (Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, Singapore, December 6-10, 2023, 2023)

A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation - Hiroki Furuta; Yusuke Iwasawa; Yutaka Matsuo; Shixiang Shane Gu (The Eleventh International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023, 2023)

End-to-end Training of Deep Boltzmann Machines by Unbiased Contrastive Divergence with Local Mode Initialization - Shohei Taniguchi; Masahiro Suzuki; Yusuke Iwasawa; Yutaka Matsuo (International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA, 2023)

Improving the Robustness to Variations of Objects and Instructions with a Neuro-Symbolic Approach for Interactive Instruction Following - Kazutoshi Shinoda; Yuki Takezawa; Masahiro Suzuki; Yusuke Iwasawa; Yutaka Matsuo (MultiMedia Modeling - 29th International Conference, MMM 2023, Bergen, Norway, January 9-12, 2023, Proceedings, Part II, 2023)

Multimodal Sequential Generative Models for Semi-Supervised Language Instruction Following - Kei Akuzawa; Yusuke Iwasawa; Yutaka Matsuo (CoRR, 2023)

End-to-end Training of Deep Boltzmann Machines by Unbiased Contrastive Divergence with Local Mode Initialization - Shohei Taniguchi; Masahiro Suzuki; Yusuke Iwasawa; Yutaka Matsuo (CoRR, 2023)

Paste, Inpaint and Harmonize via Denoising: Subject-Driven Image Editing with Pre-Trained Diffusion Model - Xin Zhang; Jiaxian Guo; Paul Yoo; Yutaka Matsuo; Yusuke Iwasawa (CoRR, 2023)

GenORM: Generalizable One-shot Rope Manipulation with Parameter-Aware Policy - So Kuroki; Jiaxian Guo; Tatsuya Matsushima; Takuya Okubo; Masato Kobayashi; Yuya Ikeda; Ryosuke Takanami; Paul Yoo; Yutaka Matsuo; Yusuke Iwasawa (CoRR, 2023)

GenDOM: Generalizable One-shot Deformable Object Manipulation with Parameter-Aware Policy - So Kuroki; Jiaxian Guo; Tatsuya Matsushima; Takuya Okubo; Masato Kobayashi; Yuya Ikeda; Ryosuke Takanami; Paul Yoo; Yutaka Matsuo; Yusuke Iwasawa (CoRR, 2023)

Self-Recovery Prompting: Promptable General Purpose Service Robot System with Foundation Models and Self-Recovery - Mimo Shirasaka; Tatsuya Matsushima; Soshi Tsunashima; Yuya Ikeda; Aoi Horo; So Ikoma; Chikaha Tsuji; Hikaru Wada; Tsunekazu Omija; Dai Komukai; Yutaka Matsuo; Yusuke Iwasawa (CoRR, 2023)

Suspicion-Agent: Playing Imperfect Information Games with Theory of Mind Aware GPT-4 - Jiaxian Guo; Bo Yang; Paul Yoo; Bill Yuchen Lin; Yusuke Iwasawa; Yutaka Matsuo (CoRR, 2023)

TRAIL Team Description Paper for RoboCup@Home 2023 - Chikaha Tsuji; Dai Komukai; Mimo Shirasaka; Hikaru Wada; Tsunekazu Omija; Aoi Horo; Daiki Furuta; Saki Yamaguchi; So Ikoma; Soshi Tsunashima; Masato Kobayashi; Koki Ishimoto; et al. (CoRR, 2023)

Grokking Tickets: Lottery Tickets Accelerate Grokking - Gouki Minegishi; Yusuke Iwasawa; Yutaka Matsuo (CoRR, 2023)

Unnatural Error Correction: GPT-4 Can Almost Perfectly Handle Unnatural Scrambled Text - Qi Cao; Takeshi Kojima; Yutaka Matsuo; Yusuke Iwasawa (CoRR, 2023)

World robot challenge 2020 - partner robot: a data-driven approach for room tidying with mobile manipulator - Tatsuya Matsushima; Yuki Noguchi; Jumpei Arima; Toshiki Aoki; Yuki Okita; Yuya Ikeda; Koki Ishimoto; Shohei Taniguchi; Yuki Yamashita; Shoichi Seto; Shixiang Shane Gu; Yusuke Iwasawa; et al. (Adv. Robotics, 2022)

Face-mask-aware Facial Expression Recognition based on Face Parsing and Vision Transformer - Bo Yang; Jianming Wu; Kazushi Ikeda; Gen Hattori; Masaru Sugano; Yusuke Iwasawa; Yutaka Matsuo (Pattern Recognit. Lett., 2022)

Detecting Object-Level Scene Changes in Images with Viewpoint Differences Using Graph Matching - Kento Doi; Ryuhei Hamaguchi; Yusuke Iwasawa; Masaki Onishi; Yutaka Matsuo; Ken Sakurada (Remote. Sens., 2022)

Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature Alignment - Takeshi Kojima; Yutaka Matsuo; Yusuke Iwasawa (Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, IJCAI 2022, Vienna, Austria, 23-29 July 2022, 2022)

Large Language Models are Zero-Shot Reasoners - Takeshi Kojima; Shixiang Shane Gu; Machel Reid; Yutaka Matsuo; Yusuke Iwasawa (Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, 2022)

Langevin Autoencoders for Learning Deep Latent Variable Models - Shohei Taniguchi; Yusuke Iwasawa; Wataru Kumagai; Yutaka Matsuo (Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, 2022)

Large Language Models are Zero-Shot Reasoners - Takeshi Kojima; Shixiang Shane Gu; Machel Reid; Yutaka Matsuo; Yusuke Iwasawa (CoRR, 2022)

Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature Alignment - Takeshi Kojima; Yutaka Matsuo; Yusuke Iwasawa (CoRR, 2022)

World Robot Challenge 2020 - Partner Robot: A Data-Driven Approach for Room Tidying with Mobile Manipulator - Tatsuya Matsushima; Yuki Noguchi; Jumpei Arima; Toshiki Aoki; Yuki Okita; Yuya Ikeda; Koki Ishimoto; Shohei Taniguchi; Yuki Yamashita; Shoichi Seto; Shixiang Shane Gu; Yusuke Iwasawa; et al. (CoRR, 2022)

Langevin Autoencoders for Learning Deep Latent Variable Models - Shohei Taniguchi; Yusuke Iwasawa; Wataru Kumagai; Yutaka Matsuo (CoRR, 2022)

A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation - Hiroki Furuta; Yusuke Iwasawa; Yutaka Matsuo; Shixiang Shane Gu (CoRR, 2022)

Realtime Fewshot Portrait Stylization Based On Geometric Alignment - Xinrui Wang; Zhuoru Li; Xiao Zhou; Yusuke Iwasawa; Yutaka Matsuo (CoRR, 2022)

Information-theoretic regularization for learning global features by sequential VAE - Kei Akuzawa; Yusuke Iwasawa; Yutaka Matsuo (Mach. Learn., 2021)

Graph-based knowledge tracing: Modeling student proficiency using graph neural networks - Hiromi Nakagawa; Yusuke Iwasawa; Yutaka Matsuo (Web Intell., 2021)

Making Use of Latent Space in Language GANs for Generating Diverse Text without Pre-training - Takeshi Kojima; Yusuke Iwasawa; Yutaka Matsuo (Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, EACL 2021, Online, April 19-23, 2021, 2021)

Group Equivariant Conditional Neural Processes - Makoto Kawano; Wataru Kumagai; Akiyoshi Sannai; Yusuke Iwasawa; Yutaka Matsuo (9th International Conference on Learning Representations, ICLR 2021, Virtual Event, Austria, May 3-7, 2021, 2021)

Estimating Disentangled Belief about Hidden State and Hidden Task for Meta-Reinforcement Learning - Kei Akuzawa; Yusuke Iwasawa; Yutaka Matsuo (Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, L4DC 2021, 7-8 June 2021, Virtual Event, Switzerland, 2021)

Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization - Yusuke Iwasawa; Yutaka Matsuo (Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual, 2021)

Wheelchair Behavior Recognition for Visualizing Sidewalk Accessibility by Deep Neural Networks - Takumi Watanabe; Hiroki Takahashi; Goh Sato; Yusuke Iwasawa; Yutaka Matsuo; Ikuko Eguchi Yairi (CoRR, 2021)

Group Equivariant Conditional Neural Processes - Makoto Kawano; Wataru Kumagai; Akiyoshi Sannai; Yusuke Iwasawa; Yutaka Matsuo (CoRR, 2021)

Estimating Disentangled Belief about Hidden State and Hidden Task for Meta-RL - Kei Akuzawa; Yusuke Iwasawa; Yutaka Matsuo (CoRR, 2021)

Improving the Robustness to Variations of Objects and Instructions with a Neuro-Symbolic Approach for Interactive Instruction Following - Kazutoshi Shinoda; Yuki Takezawa; Masahiro Suzuki; Yusuke Iwasawa; Yutaka Matsuo (CoRR, 2021)

Amortized Prompt: Lightweight Fine-Tuning for CLIP in Domain Generalization - Xin Zhang; Yusuke Iwasawa; Yutaka Matsuo; Shixiang Shane Gu (CoRR, 2021)

Modeling Task Uncertainty for Safe Meta-Imitation Learning - Tatsuya Matsushima; Naruya Kondo; Yusuke Iwasawa; Kaoru Nasuno; Yutaka Matsuo (Frontiers Robotics AI, 2020)

Weakly Supervised Learning for Evaluating Road Surface Condition from Wheelchair Driving Data - Takumi Watanabe; Hiroki Takahashi; Yusuke Iwasawa; Yutaka Matsuo; Ikuko Eguchi Yairi (Inf., 2020)

Stabilizing Adversarial Invariance Induction from Divergence Minimization Perspective - Yusuke Iwasawa; Kei Akuzawa; Yutaka Matsuo (Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI 2020, 2020)

Visualizing Road Condition Information by Applying the AutoEncoder to Wheelchair Sensing Data for Road Barrier Assessment - Goh Sato; Takumi Watanabe; Hiroki Takahashi; Yojiro Yano; Yusuke Iwasawa; Ikuko Eguchi Yairi (Advances in Artificial Intelligence - Selected Papers from the Annual Conference of Japanese Society of Artificial Intelligence, JSAI 2020, Kumamoto-ken, Japan, 9-12 June 2020, 2020)

Character-level Japanese Text Generation with Attention Mechanism for Chest Radiography Diagnosis - Kenya Sakka; Kotaro Nakayama; Nisei Kimura; Taiki Inoue; Yusuke Iwasawa; Ryohei Yamaguchi; Yoshimasa Kawazoe; Kazuhiko Ohe; Yutaka Matsuo (CoRR, 2020)

Estimating Spatiotemporal Information from Behavioral Sensing Data of Wheelchair Users by Machine Learning Technologies - Ikuko Eguchi Yairi; Hiroki Takahashi; Takumi Watanabe; Kouya Nagamine; Yusuke Fukushima; Yutaka Matsuo; Yusuke Iwasawa (Inf., 2019)

UVTON: UV Mapping to Consider the 3D Structure of a Human in Image-Based Virtual Try-On Network - Shizuma Kubo; Yusuke Iwasawa; Masahiro Suzuki; Yutaka Matsuo (2019 IEEE/CVF International Conference on Computer Vision Workshops, ICCV Workshops 2019, Seoul, Korea (South), October 27-28, 2019, 2019)

Adversarial Invariant Feature Learning with Accuracy Constraint for Domain Generalization - Kei Akuzawa; Yusuke Iwasawa; Yutaka Matsuo (Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part II, 2019)

Graph-based Knowledge Tracing: Modeling Student Proficiency Using Graph Neural Network - Hiromi Nakagawa; Yusuke Iwasawa; Yutaka Matsuo (2019 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2019, Thessaloniki, Greece, October 14-17, 2019, 2019)

Adversarial Invariant Feature Learning with Accuracy Constraint for Domain Generalization - Kei Akuzawa; Yusuke Iwasawa; Yutaka Matsuo (CoRR, 2019)

Virtual Reality as a User-friendly Interface for Learning from Demonstrations - Nishanth Koganti; Abdul Rahman Abdul Ghani; Yusuke Iwasawa; Kotaro Nakayama; Yutaka Matsuo (Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, CHI 2018, Montreal, QC, Canada, April 21-26, 2018, 2018)

End-to-End Deep Knowledge Tracing by Learning Binary Question-Embedding - Hiromi Nakagawa; Yusuke Iwasawa; Yutaka Matsuo (2018 IEEE International Conference on Data Mining Workshops, ICDM Workshops, Singapore, Singapore, November 17-20, 2018, 2018)

Designing Efficient Neural Attention Systems Towards Achieving Human-level Sharp Vision - Abdul Rahman Abdul Ghani; Nishanth Koganti; Alfredo Solano; Yusuke Iwasawa; Kotaro Nakayama; Yutaka Matsuo (6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018, Workshop Track Proceedings, 2018)

Censoring Representations with Multiple-Adversaries over Random Subspaces - Yusuke Iwasawa; Kotaro Nakayama; Yutaka Matsuo (6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018, Workshop Track Proceedings, 2018)

Neuron as an Agent - Shohei Ohsawa; Kei Akuzawa; Tatsuya Matsushima; Gustavo Bezerra; Yusuke Iwasawa; Hiroshi Kajino; Seiya Takenaka; Yutaka Matsuo (6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018, Workshop Track Proceedings, 2018)

Extending Robust Adversarial Reinforcement Learning Considering Adaptation and Diversity - Hiroaki Shioya; Yusuke Iwasawa; Yutaka Matsuo (6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018, Workshop Track Proceedings, 2018)

Expert-based reward function training: the novel method to train sequence generators - Joji Toyama; Yusuke Iwasawa; Kotaro Nakayama; Yutaka Matsuo (6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018, Workshop Track Proceedings, 2018)

Expressive Speech Synthesis via Modeling Expressions with Variational Autoencoder - Kei Akuzawa; Yusuke Iwasawa; Yutaka Matsuo (19th Annual Conference of the International Speech Communication Association, Interspeech 2018, Hyderabad, India, September 2-6, 2018, 2018)

Expressive Speech Synthesis via Modeling Expressions with Variational Autoencoder - Kei Akuzawa; Yusuke Iwasawa; Yutaka Matsuo (CoRR, 2018)

Privacy Issues Regarding the Application of DNNs to Activity-Recognition using Wearables and Its Countermeasures by Use of Adversarial Training - Yusuke Iwasawa; Kotaro Nakayama; Ikuko Yairi; Yutaka Matsuo (Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI 2017, Melbourne, Australia, August 19-25, 2017, 2017)

Combining Human Action Sensing of Wheelchair Users and Machine Learning for Autonomous Accessibility Data Collection - Yusuke Iwasawa; Ikuko Eguchi Yairi; Yutaka Matsuo (IEICE Trans. Inf. Syst., 2016)

Road Sensing: Personal Sensing and Machine Learning for Development of Large Scale Accessibility Map - Yusuke Iwasawa; Koya Nagamine; Yutaka Matsuo; Ikuko Eguchi Yairi (Proceedings of the 17th International ACM SIGACCESS Conference on Computers & Accessibility, ASSETS 2015, Lisbon, Portugal, October 26-28, 2015, 2015)

Toward an Automatic Road Accessibility Information Collecting and Sharing Based on Human Behavior Sensing Technologies of Wheelchair Users - Yusuke Iwasawa; Kouya Nagamine; Ikuko Eguchi Yairi; Yutaka Matsuo (The 6th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2015)/ The 5th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2015)/ Affiliated Workshops, September 27-30, 2015, Berlin, Germany, 2015)

An estimation of wheelchair user's muscle fatigue by accelerometers on smart devices - Koya Nagamine; Yusuke Iwasawa; Yutaka Matsuo; Ikuko Eguchi Yairi (Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, UbiComp/ISWC Adjunct 2015, Osaka, Japan, September 7-11, 2015, 2015)

Detecting Exceptional Actions Using Wearable Sensors' Data for Developing Life-Log Database of Visually Impaired People - Yusuke Iwasawa; Hidetaka Suzuki; Ikuko Eguchi Yairi (Data Driven Wellness: From Self-Tracking to Behavior Change, Papers from the 2013 AAAI Spring Symposium, Palo Alto, California, USA, March 25-27, 2013, 2013)

Spatiotemporal Life-Log Mining of Wheelchair Users' Driving for Visualizing Accessibility of Roads - Yusuke Iwasawa; Ikuko Eguchi Yairi (13th IEEE International Conference on Data Mining Workshops, ICDM Workshops, TX, USA, December 7-10, 2013, 2013)

Life-Logging of Wheelchair Driving on Web Maps for Visualizing Potential Accidents and Incidents - Yusuke Iwasawa; Ikuko Eguchi Yairi (PRICAI 2012: Trends in Artificial Intelligence - 12th Pacific Rim International Conference on Artificial Intelligence, Kuching, Malaysia, September 3-7, 2012. Proceedings, 2012)

Do multi-touch screens help visually impaired people to recognize graphics - Ikuko Eguchi Yairi; Kumi Naoe; Yusuke Iwasawa; Yusuke Fukushima (The 13th International ACM SIGACCESS Conference on Computers and Accessibility, ASSETS '11, Dundee, Scotland, UK, October 24-26, 2011, 2011)