9 citations · 21 across the 19 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
q-bio.GN2023★ 2 cited
Single-Cell RNA-seq Synthesis with Latent Diffusion Model
Yixuan Wang, Shuangyin Li, Shimin DI +1
The single-cell RNA sequencing (scRNA-seq) technology enables researchers to study complex biological systems and diseases with high resolution. The central challenge is synthesizi…
cs.LG2023
Learning from Emergence: A Study on Proactively Inhibiting the Monosemantic Neurons of Artificial Neural Networks
Jiachuan Wang, Shimin Di, Lei Chen +1
Recently, emergence has received widespread attention from the research community along with the success of large-scale models. Different from the literature, we hypothesize a key…
cs.LG2023★ 1 cited
Search to Fine-tune Pre-trained Graph Neural Networks for Graph-level Tasks
Zhili Wang, Shimin Di, Lei Chen +1
Recently, graph neural networks (GNNs) have shown its unprecedented success in many graph-related tasks. However, GNNs face the label scarcity issue as other neural networks do. Th…