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I'm an Assistant Professor at Institute of Science Tokyo, where I've been since October 2024. During my Ph.D., I developed deep learning techniques that extract symbolic rules from time series data. This page collects my grants, talks, lectures, and other activities.

Research Projects/Grants

Developing AI Systems through Data-driven Learning of Generalized Interpretable Knowledge from Background Knowledge and Limited Data
Principal Investigator ¥ 4,680,000
Grant-in-Aid for Early-Career Scientists,
Japan Society for the Promotion of Science
April 2025 - March 2028

Constraint Reasoning for Trustworthy AI
Co-Investigator ¥ 18,720,000
Grant-in-Aid for Scientific Research (B),
Japan Society for the Promotion of Science
April 2025 - March 2029

Towards Reliable Generative AI Reasoning by Separated Search State Control Mechanism
Principal Investigator ¥ 1,120,000
Open Collaborative Research,
National Institute of Informatics
July 2026 - March 2027

Discovering New Knowledge by Combining Symbolic Logic and Deep Learning
Principal Investigator ¥ 2,860,000
Grants-in-Aid for Scientific Research Grant-in-Aid for Research Activity Start-up,
Japan Society for the Promotion of Science
August 2022 - March 2024

Towards Reliable Generative AI by Logical Reasoning
Principal Investigator ¥ 975,000
Open Collaborative Research,
National Institute of Informatics
July 2024 - March 2025

Research on Intelligence and Consciousness
Principal Investigator ¥ 950,000
New Research Challenge Incentive Fund,
Organization for Fundamental Research, Tokyo Institute of Technology
September 2023 - March 2025

Robust AI by Integration of Knowledge Representation and Machine Learning
Co-Investigator ¥ 41,470,000
Grant-in-Aid for Scientific Research (A),
Japan Society for the Promotion of Science
April 2022 - March 2025

Understandable Model by Combination of Symbolic Machine Learning and Deep Statistical Learning
Research Fellow ¥ 1,500,000
Grants-in-Aid for Scientific Research Grant-in-Aid for JSPS Fellows,
Japan Society for the Promotion of Science
April 2021 - March 2022

Talks & Presentations

October 2025
A Foundation Model for Learning Propositional Logic Program
Yin Jun Phua
Ninth International Workshop on Symbolic-Neural Learning (SNL 2025) — Poster
September 2025
Transformers Can Admit Mistakes and Backtrack
Tony Ribeiro, Yin Jun Phua, Tuan Nguyen, Katsumi Inoue
5th International Joint Conference on Learning & Reasoning (IJCLR 2025)
August 27, 2025
Leveraging Symbolic Invariance in Neuro-Symbolic AI [Slides]
Yin Jun Phua
133rd SIG-FPAI — Invited talk, in Japanese
January 24, 2025
Backtracking Enabled Transformers
Yin Jun Phua, Tony Ribeiro, Katsumi Inoue
9th International Conference on Machine Learning and Soft Computing (ICMLSC 2025)

Academic Service

Program Committee, International Conference on Neurosymbolic Learning and Reasoning (NeSy)
2024 - Present

Education

April 2019 - March 2022
Ph.D. (Informatics),
Department of Informatics,
School of Multidisciplinary Sciences,
The Graduate University for Advanced Studies
April 2017 - March 2019
Department of Informatics,
School of Computing,
Tokyo Institute of Technology
April 2013 - March 2017
Department of Computer Science,
School of Engineering,
Tokyo Institute of Technology
April 2012 - March 2013
Japanese Language Center for International Students,
Tokyo University of Foreign Studies

Research History

October 2024 - Present
Assistant Professor,
Murata Laboratory,
School of Computing,
Institute of Science Tokyo
April 2022 - September 2024
Assistant Professor,
Murata Laboratory,
School of Computing,
Tokyo Institute of Technology
April 2021 - March 2022
Research fellowship (DC2),
Japan Society for the Promotion of Science
April 2019 - March 2021
Special Research Assistant,
Inoue Laboratory,
National Institute of Informatics

Awards

2023
Tokyo Tech Best Teacher Award (Joint Award)
2023
Best Paper Award, 1st Workshop on Visual Continual Learning, ICCV 2023
2019
Best Student Paper Award, ILP 2019
2012
MEXT Scholarship for Embassy Recommendation (Undergraduate)

Thoughts

Some of my personal notes, with regards to research or education.

Jul 3, 2026
May 11, 2026
Dec 8, 2025
Jan 18, 2024
Nov 28, 2023
Nov 8, 2023
Oct 31, 2023
Oct 11, 2023
Sep 21, 2023
Aug 23, 2023

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