Area of research
Molecular Biology · Biophysics
Research interest
Research interests include Computer science, Deconvolution, Transcriptome, Artificial intelligence, Benchmark (surveying), and Data science.
Exploring the Potential of Large Language Models (LLMs)in Learning on Graphs
Deep Learning in Single-cell Analysis
DANCE: a deep learning library and benchmark platform for single-cell analysis
S <scp>patial</scp> CTD: A Large-Scale Tumor Microenvironment Spatial Transcriptomic Dataset to Evaluate Cell Type Deconvolution for Immuno-Oncology
Investigating Out-of-Distribution Generalization of GNNs: An Architecture Perspective
SpatialCTD: a large-scale TME spatial transcriptomic dataset to evaluate cell type deconvolution for immuno-oncology
SpatialCTD: a large-scale TME spatial transcriptomic dataset to evaluate cell type deconvolution for immuno-oncology
MEM-GAN: A Pseudo Membrane Generator for Single-cell Imaging in Fluorescent Microscopy