Scholar
Ren Togo
Google Scholar ID: HNaVCtUAAAAJ
Hokkaido University
AI
deep learning
machine learning
computer vision
medical image analysis
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Citations & Impact
All-time
Citations
1,201
H-index
19
i10-index
33
Publications
20
Co-authors
10
list available
Contact
GitHub
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Publications
10 items
Personalized Longitudinal Medical Report Generation via Temporally-Aware Federated Adaptation
2026
Cited
0
L2R: Low-Rank and Lipschitz-Controlled Routing for Mixture-of-Experts
2026
Cited
0
Foreground-Aware Dataset Distillation via Dynamic Patch Selection
arXiv.org · 2026
Cited
0
Privacy-Aware Continual Self-Supervised Learning on Multi-Window Chest Computed Tomography for Domain-Shift Robustness
2025
Cited
0
Adaptive Shared Experts with LoRA-Based Mixture of Experts for Multi-Task Learning
2025
Cited
0
Objectness Similarity: Capturing Object-Level Fidelity in 3D Scene Evaluation
2025
Cited
0
Dual-Model Weight Selection and Self-Knowledge Distillation for Medical Image Classification
2025
Cited
0
Continual Self-supervised Learning Considering Medical Domain Knowledge in Chest CT Images
2025
Cited
0
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Resume (English only)
Academic Achievements
Accepted to IEEE Transactions on Multimedia (TMM) for motion generation research (2025)
Accepted to ECIR 2025 for LLM-based recommendation research
Accepted to ACM SIGGRAPH Asia 2024 Technical Communications for 3D model evaluation metric research
Selected as ACM Multimedia 2024 Outstanding Reviewer
Oral presentation at ACM MM 2024 on database-driven crossmodal retrieval
Published in IEEE Transactions on Neural Networks and Learning Systems (TNNLS) on representation learning (2024)
Published in Neural Networks on dataset distillation (2024)
Published at ICLR 2023 on representation learning
TriBYOL model selected among 'Top 10 Self-Supervised Learning Models in 2022' by Analytics India Magazine
Released 'Awesome-Dataset-Distillation' project (1k+ GitHub stars; Most Popular AI Research, Aug 2022)
Published in Pattern Recognition and ECCV 2022 on domain adaptation
Oral presentation at ACM MM 2021 on cross-modal image retrieval
Joint research with Sumitomo Rubber Industries featured in Nature Index (2021)
Research highlighted by Scientific American as 'next-generation technology for democratizing AI' (2021)
Background
Associate Professor, Laboratory of Media Dynamics, Faculty of Information Science and Technology, Hokkaido University
Research focuses on interdisciplinary collaboration using machine learning technologies
Research keywords: Computer Vision, Generative AI, Continual Learning, Domain Adaptation, Representation Learning, Federated Learning, Multimodal Retrieval, Medical Image Analysis
Member of AAAI, IEEE, ACM, and IEICE
Licensed Radiological Technologist
Co-authors
10 total
Takahiro Ogawa
Hokkaido University
Miki Haseyama
Hokkaido University
Keisuke Maeda
Hokkaido University
Guang Li
Assistant Professor, Hokkaido University
Rintaro Yanagi
AIST
Co-author 6
Co-author 7
Co-author 8
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