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Ian Tong Pan

2 accepted papers

2025

Enhancing Molecular Representation Learning Through the Combination of 3D and 2D Graph Machine Learning (Student Abstract)

AAAI 2025technical

Molecular machine learning has broad applications across multiple domains such as drug development, environmental toxicology, and materials science. Various pre-trained frameworks using self-supervised representation learning have emerged to tackle the difficulty of obtaining large molecular dataset…

Cited by 0SourcePDFScholar
2024

Fair Representation Learning with Maximum Mean Discrepancy Distance Constraint (Student Abstract)

AAAI 2024technical

Unsupervised learning methods such as principal component analysis (PCA), t-distributed stochastic neighbor embedding (t-SNE), and autoencoding are regularly used in dimensionality reduction within the statistical learning scene. However, despite a pivot toward fairness and explainability in machine…

Cited by 0SourcePDFScholar