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J-GLOBAL ID:202201016928842589   Update date: Dec. 18, 2024

Phua Yin Jun

ポア インジュン | Phua Yin Jun
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Affiliation and department:
Job title: Assistant Professor
Homepage URL  (2): https://yinjunphua.com/ja/https://yinjunphua.com/
Research field  (2): Computational science ,  Intelligent informatics
Research keywords  (3): Neuro-Symbolic ,  Logical Reasoning ,  Deep Learning
Research theme for competitive and other funds  (3):
  • 2021 - 2025 Robust AI by Integration of Knowledge Representation and Machine Learning
  • 2022 - 2024 Discovering New Knowledge by Combining Symbolic Logic and Deep Learning
  • 2021 - 2023 Understandable Model by Combination of Symbolic Machine Learning and Deep Statistical Learning
Papers (10):
  • Quentin Jodelet, Xin Liu 0020, Yin Jun Phua, Tsuyoshi Murata. Future-proofing class-incremental learning. Machine Vision and Applications. 2025. 36. 1. 16-16
  • Yin Jun Phua, Katsumi Inoue. Variable Assignment Invariant Neural Networks for Learning Logic Programs. NeSy (1). 2024. 47-61
  • Tai Hasegawa, Sukwon Yun, Xin Liu 0020, Yin Jun Phua, Tsuyoshi Murata. DEGNN: Dual Experts Graph Neural Network Handling both Edge and Node Feature Noise. PAKDD (2). 2024. 376-389
  • Quentin Jodelet, Xin Liu, Yin Jun Phua, Tsuyoshi Murata. Class-Incremental Learning using Diffusion Model for Distillation and Replay. ICCV (Workshops). 2023. 3417-3425
  • Foo Wei Ten, Dongsheng Yuan, Nabil Jabareen, Yin Jun Phua, Roland Eils, Sören Lukassen, Christian Conrad. resVAE ensemble: Unsupervised identification of gene sets in multi-modal single-cell sequencing data using deep ensembles. Frontiers in cell and developmental biology. 2023. 11. 1091047-1091047
more...
MISC (2):
  • PHUA Yin Jun, INOUE Katsumi. Learning dynamics from limited training data with multilayer perceptron initialized by weight prediction. Proceedings of the Annual Conference of JSAI. 2018. JSAI2018. 4A101-4A101
  • ポア インジュン, 井上 克巳. リカレントニューラルネットワークによる遅延を伴う解釈遷移から の論理プログラム表現学習. 人工知能学会全国大会論文集. 2017. JSAI2017. 3O11-3O11
Education (3):
  • 2019 - 2022 The Graduate University for Advanced Studies School of Multidisciplinary Sciences Department of Informatics
  • 2017 - 2019 Tokyo Institute of Technology School of Computing Department of Informatics
  • 2013 - 2017 Tokyo Institute of Technology School of Engineering Department of Computer Science
Professional career (1):
  • PhD (Informatics) (The Graduate University for Advanced Studies)
Work history (4):
  • 2024/10 - 現在 Institute of Science Tokyo School of Computing Assistant Professor
  • 2022/04 - 2024/09 Tokyo Institute of Technology School of Computing Assistant Professor
  • 2021/04 - 2022/03 Japan Society for the Promotion of Science Research fellowship (DC2)
  • 2019/04 - 2021/03 National Institute of Informatics Special RA
Awards (3):
  • 2023/11 - Tokyo Institute of Technology Tokyo Institute of Technology Best Teacher Award Procedural Programming
  • 2023/10 - 1st Workshop on Visual Continual Learning, ICCV2023 Best Paper Award Class-Incremental Learning using Diffusion Model for Distillation and Replay
  • 2019/11 - ILP 2019: 29th International Conference on Inductive Logic Programming Best Student Paper Award Learning Logic Programs from Noisy State Transition Data
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

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