IEEE

Deep Fusion of Multi-Template Using Spatio-Temporal Weighted Multi-Hypergraph Convolutional Networks for Brain Disease Analysis

Abstract: Conventional functional connectivity network (FCN) based on resting-state fMRI (rs-fMRI) can only reflect the relationship between pairwise brain regions. Thus, the hyper-connectivity ...
GitHub

Hypergraph Transformer for Semi-Supervised Classification

The official implementation for "Hypergraph Transformer for Semi-Supervised Classification" which is accepted to ICASSP 2024 as a lecture presentation. [paper] [slides] The pipeline for training is ...
IEEE

Spatiotemporal Hypergraph Convolution Network for Stock Movement Forecasting

Abstract: Stock movement prediction, a widely addressed research avenue in the world of computer science and finance, it finds fundamental applications in quantitative trading and investment decision ...
Queen's University

Leading Tutorials, Seminars, and Guest Lectures

Teaching is a skill that comes with time. Think back to some of your favourite classes in high school or university: What made them so special? What was it about the instructor’s pedagogy that made it ...