Learned embeddings from deep learning to visualize and predict protein sets
Christian Dallago, Konstantin Schütze, Michael Heinzinger, Tobias Olenyi, Maria Littmann, Amy X Lu, Kevin K Yang, Seonwoo Min, Sungroh Yoon, James T Morton, Burkhard Rost
Current Protocols, 2021.05
102
Predicting the efficiency of prime-editing guide RNAs in human cells
Hui Kwon Kim, GooSang Yu, Jinman Park, Seonwoo Min, Sungtae Lee, Sungroh Yoon, Hyongbum Henry Kim
Nature Biotechnology, 2021.02
103
Recording of elapsed time and temporal information about biological events using Cas9
Jihye Park, Jung Min Lim, Seok Jae Heo, Jinman Park, Yoojin Chang, Hui Kwon Kim, Dongmin Jung, Ji Hea Yu, Seonwoo Min, Sungroh Yoon, Sung-Rae Cho, Inkyung Jung, Taeyoung Park, Hyongbum Henry Kim
Cell, 2021.02
104
Single-Image Deblurring with Neural Networks: A Comparative Survey
Jaihyun Koh, Jangho Lee, Sungroh Yoon
Computer Vision and Image Understanding, 2021.02
105
Gradient Masking of Label Smoothing in Adversarial Robustness
Hyungyu Lee, Ho Bae, Sungroh Yoon
IEEE Access, 2021
106
Towards fast and accurate object detection in bio-inspired spiking neural networks through Bayesian optimization
Seijoon Kim, Seongsik Park, Byunggook Na, Jongwan Kim, Sungroh Yoon
IEEE Access, 2021
107
Memory-Augmented Neural Networks on FPGA for Real-Time and Energy-Efficient Question Answering
Seongsik Park, Jaehee Jang, Seijoon Kim, Byunggook Na, Sungroh Yoon
IEEE Transactions on Very Large Scale (VLSI) Integration Systems, 2021
108
Learning Condensed and Aligned Features for Unsupervised Domain Adaptation Using Label Propagation
Jaeyoon Yoo, Changhwa Park, Yongjun Hong, Sungroh Yoon
arXiv:1903.04860 [cs.LG], 2019.03
109
LncRNAnet: Long Noncoding RNA Identification using Deep Learning