2 citations · 2 across the 2 of their papers we have counts for
4 papers
Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost
Sungjun Cho, Seonwoo Min, Jinwoo Kim +3
To overcome the quadratic cost of self-attention, recent works have proposed various sparse attention modules, most of which fall under one of two groups: 1) sparse attention under…
TargetNet: Functional microRNA Target Prediction with Deep Neural Networks
Seonwoo Min, Byunghan Lee, Sungroh Yoon
Motivation: MicroRNAs (miRNAs) play pivotal roles in gene expression regulation by binding to target sites of messenger RNAs (mRNAs). While identifying functional targets of miRNAs…
deepMiRGene: Deep Neural Network based Precursor microRNA Prediction
Seunghyun Park, Seonwoo Min, Hyunsoo Choi +1
Since microRNAs (miRNAs) play a crucial role in post-transcriptional gene regulation, miRNA identification is one of the most essential problems in computational biology. miRNAs ar…
Deep Learning in Bioinformatics
Seonwoo Min, Byunghan Lee, Sungroh Yoon
In the era of big data, transformation of biomedical big data into valuable knowledge has been one of the most important challenges in bioinformatics. Deep learning has advanced ra…