Phua Yin Jum ＰｈｕａＹｉｎ・Ｊｕｎ

… Alternative Names

Phua Yin Jun Phua Yin・Jun

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Researcher Number	20963747
Other IDs
Affiliation (Current)	2026: 東京科学大学, 情報理工学院, 助教
Affiliation (based on the past Project Information) *help	2024 – 2025: 東京科学大学, 情報理工学院, 助教 2022 – 2023: 東京工業大学, 情報理工学院, 助教
Review Section/Research Field	Principal Investigator Basic Section 61030:Intelligent informatics-related / 1002:Human informatics, applied informatics and related fields Except Principal Investigator Sections That Are Subject to Joint Review: Basic Section60030:Statistical science-related , Basic Section61030:Intelligent informatics-related / Basic Section 60030:Statistical science-related / Basic Section 61030:Intelligent informatics-related / Medium-sized Section 61:Human informatics and related fields
Keywords	Principal Investigator ニューロシンボリック / 知識表現 / 機械学習 / 深層機械学習 / ニューラルシンボリック / 知識発見 / 記号推論 / 深層学習 Except Principal Investigator ニューロシンボリックAI / 機械学習 … More / 推論 / 信頼できるAI / 制約 / 知識表現・推論 / ロバストAI / 論理プログラミング / 知識表現 Less

Constraint Reasoning for Trustworthy AI
- Principal Investigator
  
  井上克巳
- Project Period (FY)
  2025 – 2028
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 61030:Intelligent informatics-related
  Basic Section 60030:Statistical science-related
  Sections That Are Subject to Joint Review: Basic Section60030:Statistical science-related , Basic Section61030:Intelligent informatics-related
- Research Institution
  National Institute of Informatics
Developing AI Systems through Data-driven Learning of Generalized Interpretable Knowledge from Background Knowledge and Limited DataPrincipal Investigator
- Principal Investigator
  
  Phua Yin・Jun
- Project Period (FY)
  2025 – 2027
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 61030:Intelligent informatics-related
- Research Institution
  Institute of Science Tokyo
Discovering New Knowledge by Combining Symbolic Logic and Deep LearningPrincipal Investigator
- Principal Investigator
  
  Phua Yin Jun
- Project Period (FY)
  2022 – 2023
- Research Category
  
  Grant-in-Aid for Research Activity Start-up
- Review Section
  
  1002:Human informatics, applied informatics and related fields
- Research Institution
  Tokyo Institute of Technology
Robust AI by Integration of Knowledge Representation and Machine Learning
- Principal Investigator
  
  Inoue Katsumi
- Project Period (FY)
  2021 – 2024
- Research Category
  
  Grant-in-Aid for Scientific Research (A)
- Review Section
  
  Medium-sized Section 61:Human informatics and related fields
- Research Institution
  National Institute of Informatics

All 2025 2024 2023 2022

All Journal Article Presentation

[Journal Article] Future-proofing class-incremental learning2024
- Author(s)
  Quentin Jodelet, Xin Liu, Yin Jun Phua, Tsuyoshi Murata
- Journal Title
  
  Machine Vision and Applications
  
  Volume: 36 Issue: 1 Pages: 16-16
- DOI
  10.1007/s00138-024-01635-y
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21H04595, KAKENHI-PROJECT-21H04905, KAKENHI-PROJECT-23K28141
[Journal Article] Variable Assignment Invariant Neural Networks for Learning Logic Programs2024
- Author(s)
  Phua Yin Jun, Inoue Katsumi
- Journal Title
  
  Neural-Symbolic Learning and Reasoning (NeSy 2024), LNAI
  
  Volume: 14979 Pages: 47-61
- DOI
  10.1007/978-3-031-71167-1_3
- ISBN
  9783031711664, 9783031711671
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21H04905
[Journal Article] resVAE ensemble: Unsupervised identification of gene sets in multi-modal single-cell sequencing data using deep ensembles2023
- Author(s)
  Ten Foo Wei、Yuan Dongsheng、Jabareen Nabil、Phua Yin Jun、Eils Roland、Lukassen Soren、Conrad Christian
- Journal Title
  
  Frontiers in Cell and Developmental Biology
  
  Volume: 11
- DOI
  10.3389/fcell.2023.1091047
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K21302, KAKENHI-PROJECT-21H04905
[Journal Article] Learning Logic Programs Using Neural Networks by Exploiting Symbolic Invariance2022
- Author(s)
  Yin Jun Phua, Katsumi Inoue
- Journal Title
  
  In: Nikos Katzouris, Alexander Artikis (Eds.): Inductive Logic Programming, Proceedings of the 30th International Conference (ILP 2020-2021; Virtual Event), Lecture Notes in Artificial Intelligence
  
  Volume: 13191 Pages: 203-218
- DOI
  10.1007/978-3-030-97454-1_15
- ISBN
  9783030974534, 9783030974541
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21H04905
[Presentation] Backtracking Enabled Transformers2025
- Author(s)
  Yin Jun Phua, Tony Ribeiro, Katsumi Inoue
- Organizer
  The 9th International Conference on Machine Learning and Soft Computing (ICMLSC 2025)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21H04905
[Presentation] Variable Assignment Invariant Neural Network for Learning Logic Program2024
- Author(s)
  Yin Jun Phua, Katsumi Inoue
- Organizer
  The 8th International Workshop on Symbolic-Neural Learning (SNL 2024)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21H04905

1. Inoue Katsumi (10252321)

# of Collaborated Projects: 2 results

# of Collaborated Products: 4 results
2. 坂間千秋 (20273873)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
3. Nicolas Schwind (60646397)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
4. 小島諒介 (70807651)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
5. 清雄一 (20700157)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
6. 鍋島英知 (10334848)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
7. 村田剛志

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results

Phua Yin Jum Ｐｈｕａ Ｙｉｎ・Ｊｕｎ

Phua Yin Jun Phua Yin・Jun

Research Projects

Research Products

Co-Researchers

Constraint Reasoning for Trustworthy AI

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Developing AI Systems through Data-driven Learning of Generalized Interpretable Knowledge from Background Knowledge and Limited DataPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Discovering New Knowledge by Combining Symbolic Logic and Deep LearningPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Robust AI by Integration of Knowledge Representation and Machine Learning

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Future-proofing class-incremental learning2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Variable Assignment Invariant Neural Networks for Learning Logic Programs2024

Author(s)

Journal Title

DOI

ISBN

Data Source

[Journal Article] resVAE ensemble: Unsupervised identification of gene sets in multi-modal single-cell sequencing data using deep ensembles2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Learning Logic Programs Using Neural Networks by Exploiting Symbolic Invariance2022

Author(s)

Journal Title

DOI

ISBN

Data Source

[Presentation] Backtracking Enabled Transformers2025

Author(s)

Organizer

Data Source

[Presentation] Variable Assignment Invariant Neural Network for Learning Logic Program2024

Author(s)

Organizer

Data Source

Phua Yin Jum ＰｈｕａＹｉｎ・Ｊｕｎ