Keio University

Shin, Andrew

シン アンドリュー

Shin, Andrew

Faculty of Science and Technology Department of Information and Computer Science/Assistant Professor (Non-tenured) / Research Associate (Non-tenured) / Instructor (Non-tenured)

Basic Information

Specialty

Natural Language Processing, Neuro-Symbolic AI, Computer Vision, Large Language Models, Generative AI

Research

Reseach overview

While modern artificial intelligence (AI) based on deep learning has achieved remarkable success in pattern recognition, it still faces significant limitations in tasks that require structural understanding. Integrating elements of symbolic AI offers a promising path to overcoming these challenges. Our goal is to pursue a neuro-symbolic AI approach to build more trustworthy and efficient systems.

Research Activities

Scopus Paper Information

Last Updated
Scopus paper count by year
Publication yearPaper count
20231
20241
20254
20261
Total Documents
7
Total Citations
11
h-index
3

Educational Activities