1 citations · 1 across the 9 of their papers we have counts for
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Knowledge-driven Subspace Fusion and Gradient Coordination for Multi-modal Learning
Yupei Zhang, Xiaofei Wang, Fangliangzi Meng +2
Multi-modal learning plays a crucial role in cancer diagnosis and prognosis. Current deep learning based multi-modal approaches are often limited by their abilities to model the co…
Unified Modeling Enhanced Multimodal Learning for Precision Neuro-Oncology
Huahui Yi, Xiaofei Wang, Kang Li +1
Multimodal learning, integrating histology images and genomics, promises to enhance precision oncology with comprehensive views at microscopic and molecular levels. However, existi…
Cross-modal Diffusion Modelling for Super-resolved Spatial Transcriptomics
Xiaofei Wang, Xingxu Huang, Stephen J. Price +1
The recent advancement of spatial transcriptomics (ST) allows to characterize spatial gene expression within tissue for discovery research. However, current ST platforms suffer fro…