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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.