activity
20222024
most citedGraph Neural Networks for Multimodal Single-Cell Data Integration

78 citations · 117 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2024★ 5 cited

Copyright Protection in Generative AI: A Technical Perspective

Jie Ren, Han Xu, Pengfei He +10

Generative AI has witnessed rapid advancement in recent years, expanding their capabilities to create synthesized content such as text, images, audio, and code. The high fidelity a…

q-bio.GN2023★ 21 cited

Single-Cell Multimodal Prediction via Transformers

Wenzhuo Tang, Hongzhi Wen, Renming Liu +5

The recent development of multimodal single-cell technology has made the possibility of acquiring multiple omics data from individual cells, thereby enabling a deeper understanding…

q-bio.GN2023★ 10 cited

Single Cells Are Spatial Tokens: Transformers for Spatial Transcriptomic Data Imputation

Hongzhi Wen, Wenzhuo Tang, Wei Jin +7

Spatially resolved transcriptomics brings exciting breakthroughs to single-cell analysis by providing physical locations along with gene expression. However, as a cost of the extre…

q-bio.QM2022★ 3 cited

Deep Learning in Single-Cell Analysis

Dylan Molho, Jiayuan Ding, Zhaoheng Li +12

Single-cell technologies are revolutionizing the entire field of biology. The large volumes of data generated by single-cell technologies are high-dimensional, sparse, heterogeneou…

cs.LG2022★ 78 cited

Graph Neural Networks for Multimodal Single-Cell Data Integration

Hongzhi Wen, Jiayuan Ding, Wei Jin +3

Recent advances in multimodal single-cell technologies have enabled simultaneous acquisitions of multiple omics data from the same cell, providing deeper insights into cellular sta…