Multimodal AI

Multimodal VAE for low-cost cardiac assessment

Develop a cost-effective cardiac instability detection tool using multimodal variational autoencoder

Mohammod Suvon, Prasun Tripathi, Wenrui Fan, Shuo Zhou, Xianyuan Liu, Samer Alabed, Venet Osmani, Andrew Swift, Chen Chen, Haiping Lu

Multimodal VAE for low-cost cardiac assessment

Molecular property prediction via line graph transformer

Predict molecular properties with geometry-aware line graph transformer pre-training

Peizhen Bai, Xianyuan Liu, Haiping Lu

Molecular property prediction via line graph transformer

Drug–target interaction prediction via bilinear attention network

Advance drug discovery with interpretable bilinear attention network and domain adaptation

Peizhen Bai, Filip Miljković, Bino John, Haiping Lu

Drug–target interaction prediction via bilinear attention network

PyKale: open-source multimodal learning software library

Enable accessible machine learning from multiple data sources for interdisciplinary research

Haiping Lu, Xianyuan Liu, Shuo Zhou, Robert Turner, Peizhen Bai, Raivo Koot, Mustafa Chasmai, Lawrence Schobs, Hao Xu

PyKale: open-source multimodal learning software library

Multisite brain fMRI classification

Classify autism across multiple sites via site-dependence minimisation & second-order functional connectivity

Mwiza Kunda, Shuo Zhou, Gaolang Gong, Haiping Lu

Multisite brain fMRI classification

Learn via tensor modelling

Learn low-dimensional representations of high-dimensional data from their natural tensors

Learn via tensor modelling