Loo, Junn Yong

3 publications

ICLR 2026 Functional MRI Time Series Generation via Wavelet-Based Image Transform and Spectral Flow Matching for Brain Disorder Identification Hwa Hui Tew, Junn Yong Loo, Leong Fang Yu, Julia K. Lau, Ding Fan, Hernando Ombao, Raphael CW Phan, Chee Pin Tan, Chee-Ming Ting

TMLR 2025 Learning Energy-Based Generative Models via Potential Flow: A Variational Principle Approach to Probability Density Homotopy Matching Junn Yong Loo, Leong Fang Yu, Michelle Adeline, Julia K. Lau, Hwa Hui Tew, Arghya Pal, Vishnu Monn Baskaran, Chee-Ming Ting, Raphael CW Phan

IJCAI 2024 A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder Identification Sin-Yee Yap, Junn Yong Loo, Chee-Ming Ting, Fuad Noman, Raphaël C.-W. Phan, Adeel Razi, David L. Dowe