Rchr
J-GLOBAL ID：202201016928842589
Update date: Nov. 19, 2024
Phua Yin Jun
ポア インジュン | Phua Yin Jun
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 (9)：
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Yin Jun Phua, Katsumi Inoue. Variable Assignment Invariant Neural Networks for Learning Logic Programs. NeSy (1). 2024. 47-61
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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
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Quentin Jodelet, Xin Liu, Yin Jun Phua, Tsuyoshi Murata. Class-Incremental Learning using Diffusion Model for Distillation and Replay. ICCV (Workshops). 2023. 3417-3425
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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
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Yin Jun Phua, Katsumi Inoue. Learning Logic Programs Using Neural Networks by Exploiting Symbolic Invariance. ILP. 2021. 203-218
ｍore...
MISC (2)：
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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
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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
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