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    • LLM-guided Adaptive Compensator: Bringing Adaptivity to Robotic Feedback Control with Large Language Model

      Zhongchao Zhou, Yuxi Lu, Yaonan Zhu, Yifei Zhao, Qian Niu, Bin He, Liang He, Wenwei Yu, Yusuke Iwasawa

      IEEE Transactions on Automation Science and Engineering (T-ASE), 2026

    • Residual Koopman Spectral Profiling for Predicting and Preventing Transformer Training Instability

      Bum Jun Kim, Shohei Taniguchi, Makoto Kawano, Yusuke Iwasawa, Yutaka Matsuo

      Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence (UAI 2026), August 2026

    • Japanese-Language AI Agent System for Human Papillomavirus Vaccine Infoveillance and Public Communication: Development and Feasibility Evaluation

      Junyu Liu, Siwen Yang, Dexiu Ma, Qian Niu*, Zequn Zhang, Momoko Nagai-Tanima, Tomoki Aoyama (*Project Leader)

      JMIR Infodemiology, Vol. 6, e90295, May 2026

    • When medical AI fails outside English

      Irene Li, Hardy Kagimoto, Yusuke Iwasawa, Yutaka Matsuo, Ethan Goh

      BMJ Digital Health & AI, Vol. 2, No. 1, e000038, Editorial (Invited), 2026

    • BrainAnytime: Anatomy-Aware Cross-Modal Pretraining for Brain Image Analysis with Arbitrary Modality Availability

      Guangqian Yang, Tong Ding, Wenlong Hou, Yue Xun, Ye Du, Qian Niu, Shujun Wang

      Proceedings of the 29th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2026), Early Accept, October 2026

    • PRA-PoE: Robust Multimodal Alzheimer’s Disease Classification under Arbitrary Modality Missingness

      Guangqian Yang, Ye Du, Wenlong Hou, Qian Niu, Shujun Wang

      Proceedings of the 29th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2026), Early Accept, October 2026

    • Steering at the Source: Style Modulation Heads for Robust Persona Control

      Yoshihiro Izawa, Gouki Minegishi, Koshi Eguchi, Sosuke Hosokawa, Kenjiro Taura

      Proceedings of the 43rd International Conference on Machine Learning (ICML 2026), July 2026

    • Emergent Analogical Reasoning in Transformers

      Gouki Minegishi, Jingyuan Feng, Hiroki Furuta, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo

      Proceedings of the 43rd International Conference on Machine Learning (ICML 2026), Spotlight, July 2026

    • Emergence of Exploration in Policy Gradient Reinforcement Learning via Retrying

      Soichiro Nishimori, Paavo Parmas, Sotetsu Koyamada, Tadashi Kozuno, Toshinori Kitamura, Shin Ishii, Yutaka Matsuo

      Proceedings of the 43rd International Conference on Machine Learning (ICML 2026), July 2026

    • Discovering Scaling Exponents with Physics-Informed Müntz-Szász Networks

      Gnankan Landry Regis N’guessan, Bum Jun Kim

      Proceedings of the 43rd International Conference on Machine Learning (ICML 2026), July 2026