Ren Togo
Scholar

Ren Togo

Google Scholar ID: HNaVCtUAAAAJ
Hokkaido University
AIdeep learningmachine learningcomputer visionmedical image analysis
Citations & Impact
All-time
Citations
1,201
 
H-index
19
 
i10-index
33
 
Publications
20
 
Co-authors
10
list available
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