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    • LLM-Guided Adaptive Compensator: Bringing Adaptivity to Robotic Feedback Control with Large Language Models

      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

    • 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 of 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

    • A Review of the Science of Team Science: Data Sources, Research Methods, Disciplinary Characteristics, and Research Topics

      Rui Liu, Yi Zhao, Eunji Jeon, Yi Bu, Irene Li, Yongjun Zhu

      Journal of Informetrics, 2026

    • EARL: The 2nd Workshop on Evaluating and Applying Recommender Systems with Large Language Models

      Irene Li, Ruihai Dong, Guillaume Salha-Galvan, Aonghus Lawlor, Dairui Liu, Lei Li

      Proceedings of the 19th ACM Conference on Recommender Systems (RecSys 2025), Extended Abstract, September 2025

    • Enhancing Unimodal Latent Representations in Multimodal VAEs through Iterative Amortized Inference

      Yuta Oshima, Masahiro Suzuki, Yutaka Matsuo

      New Generation Computing (NGC), 2026

    • Towards High-resolution and Disentangled Reference-based Sketch Colorization

      Dingkun Yan, Xinrui Wang, Ru Wang, Zhuoru Li, Jinze Yu, Yusuke Iwasawa, Yutaka Matsuo, Jiaxian Guo

      The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2026 (CVPR 2026), June 2026

    • CLIP-like Model as a Foundational Density Ratio Estimator

      Fumiya Uchiyama*, Rintaro Yanagi, Shohei Taniguchi, Shota Takashiro, Masahiro Suzuki, Hirokatsu Kataoka, Yusuke Iwasawa, Yutaka Matsuo

      The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2026 (CVPR 2026), June 2026

    • MultiBanana: A Challenging Benchmark for Multi-Reference Text-to-Image Generation

      Yuta Oshima*, Daiki Miyake*, Kohsei Matsutani, Yusuke Iwasawa, Masahiro Suzuki, Yutaka Matsuo, Hiroki Furuta (*Equal Contribution)

      The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2026 (CVPR 2026), June 2026