Yin Jun Phua
Tokyo Institute of Technology(JP)Shanghai Institute for Science of Science(CN)Institute of Science Tokyo
Publications by Year
Research Areas
Neural Networks and Applications, Bayesian Modeling and Causal Inference, Domain Adaptation and Few-Shot Learning, Logic, Reasoning, and Knowledge, Advanced Graph Neural Networks
Most-Cited Works
- → Class-Incremental Learning using Diffusion Model for Distillation and Replay(2023)34 cited
- → Learning Logic Programs Using Neural Networks by Exploiting Symbolic Invariance(2022)3 cited
- → Future-proofing class-incremental learning(2024)2 cited
- Learning Representation of Relational Dynamics with Delays and Refining with Prior Knowledge.(2019)
- → Learning Logic Programs from Noisy State Transition Data(2020)1 cited
- Learning Logic Program Representation for Delayed Systems with Limited Training Data(2017)
- → DEGNN: Dual Experts Graph Neural Network Handling both Edge and Node Feature Noise(2024)
- → resVAE ensemble: Unsupervised identification of gene sets in multi-modal single-cell sequencing data using deep ensembles(2023)
- → Variable Assignment Invariant Neural Networks for Learning Logic Programs(2024)