Satoshi KOIDE
Scholar

Satoshi KOIDE

Google Scholar ID: mDde7DoAAAAJ
Toyota Central R&D Lab
Data StructuresMachine LearningSpatial Algorithms
Citations & Impact
All-time
Citations
506
 
H-index
12
 
i10-index
16
 
Publications
20
 
Co-authors
8
list available
Contact
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • 1. Conference paper 'LaViC: Adapting Large Vision-Language Models to Visually-Aware Conversational Recommendation' published and presented at the ACM KDD 2025 conference.
  • 2. Journal paper 'Impact of Tone-Aware Explanations in Recommender Systems' published in ACM TORS.
  • 3. Journal paper 'High-Dimensional Slider-Based Preferential Bayesian Optimization With Mixed Local and Global Acquisition Strategies' published in IEEE Access.
Research Experience
  • Researcher at Toyota Central R&D Labs; started visiting research at UC San Diego on March 1, 2024, collaborating with Prof. Julian McAuley.
Education
  • Ph.D. (Informatics), Nagoya University, 2020, supervised by Prof. Yoshiharu Ishikawa.
Background
  • Research Interests: Spatial Databases, String Algorithms, Data Structures, Machine Learning, Similarity Search, Preferential Learning, Recommender Systems. Fields: Database Systems, Information Retrieval, and Machine Learning.
Miscellany
  • Contact: satoshi.koide[at]gmail.com