77 citations · 95 across the 15 of their papers we have counts for
16 papers
Precise Facial Landmark Detection by Dynamic Semantic Aggregation Transformer
Jun Wan, He Liu, Yujia Wu +3
At present, deep neural network methods have played a dominant role in face alignment field. However, they generally use predefined network structures to predict landmarks, which t…
Pretrained-Guided Conditional Diffusion Models for Microbiome Data Analysis
Xinyuan Shi, Fangfang Zhu, Wenwen Min
Emerging evidence indicates that human cancers are intricately linked to human microbiomes, forming an inseparable connection. However, due to limited sample sizes and significant…
Multi-Slice Spatial Transcriptomics Data Integration Analysis with STG3Net
Donghai Fang, Fangfang Zhu, Wenwen Min
With the rapid development of the latest Spatially Resolved Transcriptomics (SRT) technology, which allows for the mapping of gene expression within tissue sections, the integrativ…
Masked Graph Autoencoders with Contrastive Augmentation for Spatially Resolved Transcriptomics Data
Donghai Fang, Fangfang Zhu, Dongting Xie +1
With the rapid advancement of Spatial Resolved Transcriptomics (SRT) technology, it is now possible to comprehensively measure gene transcription while preserving the spatial conte…
scASDC: Attention Enhanced Structural Deep Clustering for Single-cell RNA-seq Data
Wenwen Min, Zhen Wang, Fangfang Zhu +2
Single-cell RNA sequencing (scRNA-seq) data analysis is pivotal for understanding cellular heterogeneity. However, the high sparsity and complex noise patterns inherent in scRNA-se…
High-Resolution Spatial Transcriptomics from Histology Images using HisToSGE
Zhiceng Shi, Shuailin Xue, Fangfang Zhu +1
Spatial transcriptomics (ST) is a groundbreaking genomic technology that enables spatial localization analysis of gene expression within tissue sections. However, it is significant…