Sungroh Yoon - Concepedia

Author

Sungroh Yoon

Also Known As

Entezari, Rahim, Hwang, Uiwon, Jo, Jeonghee, Lee, Byunghan, Oh, Myungwoo, S Yoon, S. H. Yoon, S. Yoon, Seonwoo Min, Si Kee Yoon

467

Publications

12.7K

Citations

H-Index

326

Concepts

All Affiliations

Seoul National University Korea University Yonsei University Samsung (South Korea)Stanford University

About

Sungroh Yoon is an author at Seoul National University specializing in engineering, deep learning, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	38	110	5.8K
2	Language Studies	6	6	348
3	Health Sciences	5	5	172
4	Business	2	2	116
5	Arts	1	1	67

Sungroh Yoon

166

Publications

9.4K

Citations

H-Index

Page 1

	Year	Citations
ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models Jooyoung Choi, Sungwon Kim, Yonghyun Jeong, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) EngineeringMachine LearningDiffusion Probabilistic ModelsStyle TransferIlvr Method	2021	556
Deep Learning for Anomaly Detection in Time-Series Data: Review, Analysis, and Guidelines Kukjin Choi, Jihun Yi, Changhwa Park, IEEE Access Temporal DependenciesAnomaly DetectionMachine LearningData ScienceData Mining	2021	504
Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object Detection Seijoon Kim, Seongsik Park, Byunggook Na, Proceedings of the AAAI Conference on Artificial Intelligence Convolutional Neural NetworkEngineeringMachine LearningSocial SciencesData Science	2020	400
Deep learning improves prediction of CRISPR–Cpf1 guide RNA activity Hui Kwon Kim, Seonwoo Min, Myungjae Song, Nature Biotechnology Molecular BiologyGene EditingGenome EditingDeep LearningMedicine	2018	371
RNA design rules from a massive open laboratory Jeehyung Lee, Wipapat Kladwang, Min Jae Lee, Proceedings of the National Academy of Sciences	2014	316
Predicting the efficiency of prime editing guide RNAs in human cells Hui Kwon Kim, Goosang Yu, Jinman Park, Nature Biotechnology	2020	271
SpCas9 activity prediction by DeepSpCas9, a deep learning–based model with high generalization performance Hui Kwon Kim, Younggwang Kim, Sungtae Lee, Science Advances EngineeringMachine LearningGeneticsActivity RecognitionHigh Generalization Performance	2019	234
Comprehensive ensemble in QSAR prediction for drug discovery Sunyoung Kwon, Ho Bae, Jeonghee Jo, BMC Bioinformatics	2019	227
Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search Jaehyeon Kim, Sungwon Kim, Jungil Kong, arXiv (Cornell University) EngineeringMachine LearningHard Monotonic AlignmentsMonotonic Alignment SearchSpeech Recognition	2020	202
Prediction of the sequence-specific cleavage activity of Cas9 variants Nahye Kim, Hui Kwon Kim, Sungtae Lee, Nature Biotechnology Functional GenomicsCas9 VariantsMolecular BiologyGene EditingGenome Editing	2020	195

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