Sungroh Yoon

发表

hc-OTU: A Fast and Accurate Method for Clustering Operational Taxonomic Units Based on Homopolymer Compaction

Seunghyun Park, Hyun-Soo Choi, Byunghan Lee, 2018, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Boosted Categorical Restricted Boltzmann Machine for Computational Prediction of Splice Junctions

Sungroh Yoon, Taehoon Lee, Sungroh Yoon, 2015, ICML.

Nonlinear preprocessing method for detecting peaks from gas chromatograms

Byonghyo Shim, Sungroh Yoon, Hyeyoung Min, 2009, BMC Bioinformatics.

Jongmoo Choi, Sungroh Yoon, Youjip Won, 2014, 2014 4th International Conference On Simulation And Modeling Methodologies, Technologies And Applications (SIMULTECH).

How Generative Adversarial Networks and Their Variants Work: An Overview of GAN

Sungroh Yoon, Yongjun Hong, Uiwon Hwang, 2017 .

NASCUP: Nucleic Acid Sequence Classification by Universal Probability pdf

Byunghan Lee, Sungroh Yoon, Sunyoung Kwon, 2015, IEEE Access.

How Generative Adversarial Networks and Their Variants Work

Sungroh Yoon, Yongjun Hong, Uiwon Hwang, 2017, ACM Comput. Surv..

Stochastic Modeling and Concurrent Simulation of the Game of Golf

Seong-Jun Oh, Sungroh Yoon, Se-Il Lee, 2009 .

Variability-insensitive scheme for NAND flash memory interfaces

Sungroh Yoon, Sung Woo Chung, Chanik Park, 2006 .

Massively Parallel Energy Space Exploration for Uncluttered Visualization of Vascular Structures

Joong-Ho Won, Sungroh Yoon, Yongkweon Jeon, 2013, IEEE Transactions on Biomedical Engineering.

Design of a bitmap-based QoS-aware memory controller for a packet memory

Sungroh Yoon, Seunghak Yu, Eui-Young Chung, 2014, IEICE Electron. Express.

Deciphering FEATURE for Novel Protein Data Analysis and Functional Annotation

Sungroh Yoon, Seunghak Yu, 2009 .

Momentum Contrast Speaker Representation Learning pdf

Sungroh Yoon, Jangho Lee, Jaihyun Koh, 2020, ArXiv.

Automated band annotation for RNA structure probing experiments with numerous capillary electrophoresis profiles

Sungroh Yoon, Taehoon Lee, Seungmyung Lee, 2015, Bioinform..

High-Speed Post-Layout Logic Simulation Using Quasi-Static Clock Event Evaluation

Sungroh Yoon, Eui-Young Chung, Myeongjin Kim, 2009, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

Training IBM Watson Using Automatically Generated Question-Answer Pairs

Sungroh Yoon, Minseok Kim, Jaeyoon Yoo, 2017, HICSS.

Wearable and wireless measurement system for evaluating penile tumescence

Sungroh Yoon, Sungwoon Choi, Jae Young Park, 2015, 2015 IEEE Biomedical Circuits and Systems Conference (BioCAS).

Enhanced pClustering and its applications to gene expression data

Luca Benini, Giovanni De Micheli, Sungroh Yoon, 2004, Proceedings. Fourth IEEE Symposium on Bioinformatics and Bioengineering.

FickleNet: Weakly and Semi-Supervised Semantic Image Segmentation Using Stochastic Inference

Sungroh Yoon, Jangho Lee, Jungbeom Lee, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

NC-Link: A New Linkage Method for Efficient Hierarchical Clustering of Large-Scale Data

Sungroh Yoon, Yongkweon Jeon, Jaeyoon Yoo, 2017, IEEE Access.

Robust Tumor Localization with Pyramid Grad-CAM pdf

Sungroh Yoon, Jangho Lee, Jungbeom Lee, 2018, ArXiv.

Deep learning in bioinformatics

Byunghan Lee, Sungroh Yoon, Seonwoo Min, 2016, Briefings Bioinform..

Predicting the efficiency of prime editing guide RNAs in human cells

Sungroh Yoon, Sungtae Lee, Hui Kwon Kim, 2020, Nature Biotechnology.

SpCas9 activity prediction by DeepCas9, a deep learning-based model with unparalleled generalization performance

Sungroh Yoon, Sungtae Lee, Seonwoo Min, 2019 .

Disease Prediction from Electronic Health Records Using Generative Adversarial Networks pdf

Sungroh Yoon, Uiwon Hwang, Sungwoon Choi, 2017, ArXiv.

Security and Privacy Issues in Deep Learning pdf

Sungroh Yoon, Ho Bae, Jaehee Jang, 2018, ArXiv.

Deep learning improves prediction of CRISPR–Cpf1 guide RNA activity

Sungroh Yoon, Seonwoo Min, Hui Kwon Kim, 2018, Nature Biotechnology.

RNA design rules from a massive open laboratory

Minjae Lee, Sungroh Yoon, Adrien Treuille, 2014, Proceedings of the National Academy of Sciences.

DNA-Level Splice Junction Prediction using Deep Recurrent Neural Networks pdf

Byunghan Lee, Sungroh Yoon, Taehoon Lee, 2015, ArXiv.

Pediatric Sleep Stage Classification Using Multi-Domain Hybrid Neural Networks

Hyun-Soo Choi, Sungroh Yoon, Hunmin Kim, 2019, IEEE Access.

Towards Fast and Accurate Object Detection in Bio-Inspired Spiking Neural Networks Through Bayesian Optimization

Sungroh Yoon, Jongwan Kim, Byunggook Na, 2021, IEEE Access.

Streaming MANN: A Streaming-Based Inference for Energy-Efficient Memory-Augmented Neural Networks pdf

Sungroh Yoon, Sei Joon Kim, Seongsik Park, 2018, ArXiv.

Measuring Large-Scale Dynamic Graph Similarity by RICom: RWR with Intergraph Compression

Sungroh Yoon, Jaekoo Lee, Gunn Kim, 2015, 2015 IEEE International Conference on Data Mining.

A Comparative Performance Analysis of Spark-Based Distributed Deep-Learning Frameworks

Sungroh Yoon, Jaehong Park, Hanjoo Kim, 2017 .

Ensemble learning can significantly improve human microRNA target prediction.

Sungroh Yoon, Juho Kim, Seunghak Yu, 2014, Methods.

PixelSteganalysis: Destroying Hidden Information with a Low Degree of Visual Degradation pdf

Hyun-Soo Choi, Sungroh Yoon, Ho Bae, 2019, ArXiv.

Multi-Threaded Hierarchical Clustering by Parallel Nearest-Neighbor Chaining

Sungroh Yoon, Yongkweon Jeon, Sungroh Yoon, 2015, IEEE Transactions on Parallel and Distributed Systems.

Parallel external sort of floating-point data by integer conversion

Sungroh Yoon, Dongseung Kim, Changsoo Kim, 2008 .

Deep Trustworthy Knowledge Tracing

Sungroh Yoon, Yongjun Hong, Uiwon Hwang, 2018 .

Fast sort of floating-point data for data engineering

Sungroh Yoon, Changsoo Kim, Dongseung Kim, 2011, Adv. Eng. Softw..

VSSIM: Virtual machine based SSD simulator

Jongmoo Choi, Sungroh Yoon, Youjip Won, 2013, 2013 IEEE 29th Symposium on Mass Storage Systems and Technologies (MSST).

HexaGAN: Generative Adversarial Nets for Real World Classification

Sungroh Yoon, Uiwon Hwang, Dahuin Jung, 2019, ICML.

Interpretation of NLP Models through Input Marginalization pdf

Sungroh Yoon, Eunji Kim, Siwon Kim, 2020, EMNLP.

DeepCCI: End-to-end Deep Learning for Chemical-Chemical Interaction Prediction

Sungroh Yoon, Sunyoung Kwon, Sungroh Yoon, 2017, BCB.

High-Dimensional Fused Lasso Regression Using Majorization–Minimization and Parallel Processing

Sungroh Yoon, Joong-Ho Won, Johan Lim, 2013, 1306.1970.

Mining internet media for monitoring changes of public emotions about infectious diseases

Sungroh Yoon, Sangheon Pack, Sungwoon Choi, 2016, 2016 IEEE 32nd International Conference on Data Engineering Workshops (ICDEW).

FRAME: Fast and Realistic Attacker Modeling and Evaluation for Temporal Logical Correlation in Static Noise pdf

Giovanni De Micheli, Sungroh Yoon, Eui-Young Chung, 2015, ArXiv.

HiComet: a high-throughput comet analysis tool for large-scale DNA damage assessment

Joong-Ho Won, Sungroh Yoon, Taehoon Lee, 2018, BMC Bioinformatics.

Energy-Aware Interconnect Resource Reduction Through Buffer Access Manipulation for Data-Centric Applications

Sangjin Hong, Sungroh Yoon, Woohyung Chun, 2011, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

Energy-Based Sequence GANs for Recommendation and Their Connection to Imitation Learning pdf

Jung-Woo Ha, Sungroh Yoon, Jaeyoon Yoo, 2017, ArXiv.

Clustering protein environments for function prediction: finding PROSITE motifs in 3D

Giovanni De Micheli, Russ B. Altman, Sungroh Yoon, 2007, BMC Bioinformatics.

End-to-End Blood Pressure Prediction via Fully Convolutional Networks

Jiyong Jang, Sungroh Yoon, Sanghyun Baek, 2019, IEEE Access.

Sequence-specific prediction of the efficiencies of adenine and cytosine base editors

Sungroh Yoon, Hui Kwon Kim, Seonwoo Min, 2020, Nature Biotechnology.

Buffer Controller-Based Multiple Processing Element Utilization for Dataflow Synthesis

Sangjin Hong, Sungroh Yoon, Woohyung Chun, 2011, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

A SeqGAN for Polyphonic Music Generation pdf

Sungroh Yoon, Uiwon Hwang, Seonwoo Min, 2017, ArXiv.

Prediction of regulatory modules comprising microRNAs and target genes

Giovanni De Micheli, Sungroh Yoon, G. Micheli, 2005, ECCB/JBI.

MUGAN: multi-GPU accelerated AmpliconNoise server for rapid microbial diversity assessment

Byunghan Lee, Sungroh Yoon, Hyeyoung Min, 2018, Bioinform..

Genomic data mining enhanced by symbolic manipulation of Boolean functions

Giovanni De Micheli, Sungroh Yoon, 2005 .

deepTarget: End-to-end Learning Framework for microRNA Target Prediction using Deep Recurrent Neural Networks

Byunghan Lee, Sungroh Yoon, Seunghyun Park, 2016, BCB.

LSTM-Based System-Call Language Modeling and Robust Ensemble Method for Designing Host-Based Intrusion Detection Systems pdf

Yunheung Paek, Sungroh Yoon, Gyuwan Kim, 2016, ArXiv.

Big/little deep neural network for ultra low power inference

Sungroh Yoon, Eunhyeok Park, Dongyoung Kim, 2015, 2015 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS).

SSD Characterization: From Energy Consumption's Perspective

Jongmoo Choi, Sungroh Yoon, Youjip Won, 2011, HotStorage.

Removing Undesirable Feature Contributions Using Out-of-Distribution Data pdf

Sungroh Yoon, Jonghyun Lee, Jihun Yi, 2021, ArXiv.

Transfer Learning for Deep Learning on Graph-Structured Data

Sungroh Yoon, Hyunjae Kim, Jongsun Lee, 2016, AAAI.

DUDE-Seq: Fast, flexible, and robust denoising of nucleotide sequences

Byunghan Lee, Sungroh Yoon, Tsachy Weissman, 2015 .

Concurrent simulation platform for energy-aware smart metering systems

Seunghyun Park, Sungroh Yoon, Jun Heo, 2010, IEEE Transactions on Consumer Electronics.

How Generative Adversarial Nets and its variants Work: An Overview of GAN pdf

Sungroh Yoon, Yongjun Hong, Uiwon Hwang, 2017, ArXiv.

DeepSpark: A Spark-Based Distributed Deep Learning Framework for Commodity Clusters

Sungroh Yoon, Jaehong Park, Hanjoo Kim, 2016 .

Exploiting Compression-Induced Internal Fragmentation for Power-Off Recovery in SSD

Dongwook Kim, Jongmoo Choi, Sungroh Yoon, 2016, IEEE Transactions on Computers.

Deep Recurrent Neural Network-Based Identification of Precursor microRNAs

Seunghyun Park, Hyun-Soo Choi, Sungroh Yoon, 2017, NIPS.

DUDE-Seq: Fast Universal Denoising of Nucleotide Sequences pdf

Tsachy Weissman, Byunghan Lee, Sungroh Yoon, 2015, ArXiv.

An Efficient Approach to Boosting Performance of Deep Spiking Network Training pdf

Sungroh Yoon, Seongsik Park, Sang-gil Lee, 2016, ArXiv.

FingerNet: Deep learning-based robust finger joint detection from radiographs

Hyun-Soo Choi, Sungroh Yoon, Minsuk Choi, 2015, 2015 IEEE Biomedical Circuits and Systems Conference (BioCAS).

SpCas9 activity prediction by DeepSpCas9, a deep learning–based model with high generalization performance

Sungroh Yoon, Sungtae Lee, Seonwoo Min, 2019, Science Advances.

Architecture Exploration of High-Performance PCs with a Solid-State Disk

Sungroh Yoon, Eui-Young Chung, Dong Kim, 2010, IEEE Transactions on Computers.

Energy-aware Placement for SRAM-NVM Hybrid FPGAs

Sungroh Yoon, Seongsik Park, Jongwan Kim, 2020, 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE).

Joint Contrastive Learning for Unsupervised Domain Adaptation pdf

Sungroh Yoon, Jaeyoon Yoo, Jonghyun Lee, 2020, ArXiv.

Prediction of Drug Classes with a Deep Neural Network using Drug Targets and Chemical Structure Data

Sungroh Yoon, Jeonghee Jo, Hyun-Soo Choi, 2019, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

End-to-End Representation Learning for Chemical-Chemical Interaction Prediction

Sungroh Yoon, Sunyoung Kwon, Sungroh Yoon, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Co-clustering: A Versatile Tool for Data Analysis in Biomedical Informatics

Luca Benini, Giovanni De Micheli, Sungroh Yoon, 2007, IEEE Transactions on Information Technology in Biomedicine.

DNA Privacy: Analyzing Malicious DNA Sequences using Deep Neural Networks.

Sungroh Yoon, Seonwoo Min, Hyun-Soo Choi, 2020, IEEE/ACM transactions on computational biology and bioinformatics.

LSTM-Based System-Call Language Modeling and Ensemble Method for Host-Based Intrusion Detection

Yunheung Paek, Sungroh Yoon, Jangho Lee, 2017 .

Feature Concentration for Supervised and Semisupervised Learning With Unbalanced Datasets in Visual Inspection

Jiyong Jang, Sungroh Yoon, Sungroh Yoon, 2020, IEEE Transactions on Industrial Electronics.

CloudSocket: Fine-Grained Power Sensing System for Datacenters

Sungroh Yoon, Hanjoo Kim, Seongsik Park, 2018, IEEE Access.

Single-image deblurring with neural networks: A comparative survey

Sungroh Yoon, Jangho Lee, Jaihyun Koh, 2021, Comput. Vis. Image Underst..

Computational prediction of competitive endogenous RNA

Seunghyun Park, Sungroh Yoon, Hyeyoung Min, 2015, 2015 IEEE Biomedical Circuits and Systems Conference (BioCAS).

Joint co-clustering: Co-clustering of genomic and clinical bioimaging data

Luca Benini, Giovanni De Micheli, Enrico Macii, 2008, Comput. Math. Appl..

IEEE/ACM TRANSACTIONS ON

Luca Benini, Tao Jiang, Stefano Lonardi, 2004 .

One-Shot Learning for Text-to-SQL Generation pdf

Dongjun Lee, Sungroh Yoon, Jaesik Yoon, 2019, ArXiv.

Will solid-state drives accelerate your bioinformatics? In-depth profiling, performance analysis and beyond

Sungroh Yoon, Hyeyoung Min, Sungmin Lee, 2015, Briefings Bioinform..

Comprehensive ensemble in QSAR prediction for drug discovery

Sungroh Yoon, Sunyoung Kwon, Jeonghee Jo, 2019, BMC Bioinformatics.

Deep Learning on Key Performance Indicators for Predictive Maintenance in SAP HANA pdf

Donghun Lee, Byunghan Lee, Sungroh Yoon, 2018, ArXiv.

Mutual Suppression Network for Video Prediction using Disentangled Features

Sungroh Yoon, Sungmin Lee, Jungbeom Lee, 2018, BMVC.

Autonomous UAV Navigation with Domain Adaptation pdf

Sungroh Yoon, Yongjun Hong, Jaeyoon Yoo, 2017, ArXiv.

A robust peak detection method for RNA structure inference by high-throughput contact mapping

Byonghyo Shim, Sungroh Yoon, Seunghak Yu, 2009, Bioinform..

Frame-to-Frame Aggregation of Active Regions in Web Videos for Weakly Supervised Semantic Segmentation

Sungroh Yoon, Sungmin Lee, Jungbeom Lee, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Run-Time Adaptive Workload Estimation for Dynamic Voltage Scaling

Sungroh Yoon, Eui-Young Chung, Kwanhu Bang, 2009, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search pdf

Sungwon Kim, Sungroh Yoon, Jaehyeon Kim, 2020, NeurIPS.

Gradient Masking of Label Smoothing in Adversarial Robustness

Sungroh Yoon, Hyungyu Lee, Ho Bae, 2021, IEEE Access.

A High-Performance Solid-State Disk with Double-Data-Rate NAND Flash Memory pdf

Sungroh Yoon, Eui-Young Chung, Kwanhu Bang, 2015, ArXiv.

Execution Time Modeling for Heterogeneous Computing System

Sungroh Yoon, Eui-Young Chung, Hyeokjun Seo, 2015 .

Augmented Machine Learning Approach of Rate of Penetration Prediction for North Sea Oilfield

Sungroh Yoon, Jaeyoon Yoo, Youngjun Hong, 2020 .

Performance analysis of network coding with raptor codes for IPTV

Sungroh Yoon, Jun Heo, Kwangseok Noh, 2009, IEEE Transactions on Consumer Electronics.

DeepSpark: Spark-Based Deep Learning Supporting Asynchronous Updates and Caffe Compatibility pdf

Jaehong Park, Sungroh Yoon, Hanjoo Kim, 2016, ArXiv.

Anomaly Detection by Learning Dynamics From a Graph

Sungroh Yoon, Ho Bae, Jaekoo Lee, 2020, IEEE Access.

Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation pdf

Sungroh Yoon, Jihun Yi, 2020, ArXiv.

An effective pre-store/pre-load method exploiting intra-request idle time of NAND flash-based storage devices

Jean-Luc Gaudiot, Sungroh Yoon, Eui-Young Chung, 2017, Microprocess. Microsystems.

Building a Neural Machine Translation System Using Only Synthetic Parallel Data pdf

Jaehong Park, Sungroh Yoon, Jongyoon Song, 2017, ArXiv.

CloudSocket: Smart grid platform for datacenters

Sungroh Yoon, Chang-Sung Jeong, Hanjoo Kim, 2016, 2016 IEEE 34th International Conference on Computer Design (ICCD).

DNA Steganalysis Using Deep Recurrent Neural Networks

Byunghan Lee, Sungroh Yoon, Sunyoung Kwon, 2017, PSB.

Polyphonic Music Generation with Sequence Generative Adversarial Networks

Sungroh Yoon, Uiwon Hwang, Seonwoo Min, 2017 .

Intelligent Knowledge Tracing: More Like a Real Learning Process of a Student pdf

Sungroh Yoon, Yongjun Hong, Uiwon Hwang, 2018, ArXiv.

Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object Detection

Sungroh Yoon, Seongsik Park, Byunggook Na, 2020, AAAI.

A Pattern-Mining Method for High-Throughput Lab-on-a-Chip Data Analysis

Luca Benini, Giovanni De Micheli, Sungroh Yoon, 2006, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

Real-Time Anomalous Branch Behavior Inference with a GPU-inspired Engine for Machine Learning Models

Yunheung Paek, Sungroh Yoon, Yeongpil Cho, 2019, 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE).

PixelSteganalysis: Pixel-Wise Hidden Information Removal With Low Visual Degradation pdf

Hyun-Soo Choi, Sungroh Yoon, Ho Bae, 2019, IEEE Transactions on Dependable and Secure Computing.

Extended Abstract: Mimicry Resilient Program Behavior Modeling with LSTM based Branch Models pdf

Yunheung Paek, Sungroh Yoon, Gyuwan Kim, 2018, ArXiv.

60‐2: Self‐supervised Perceptual Motion Deblurring using a Conditional Generative Neural Network Guided by Optical Flow

Sungroh Yoon, Jai-Hyun Koh, 2020 .

Breast cancer recurrence data preparation and prediction algorithm development

Jeong-Whun Kim, Borim Ryu, Sungroh Yoon, 2018, AMIA.

The Message Passing Neural Networks for Chemical Property Prediction on SMILES.

Sungroh Yoon, Jeonghee Jo, Hyun-Soo Choi, 2020, Methods.

Domain Adaptation Using Adversarial Learning for Autonomous Navigation

Sungroh Yoon, Yongjun Hong, Jaeyoon Yoo, 2017 .

A good puncturing scheme for rate compatible low-density parity-check codes

Sungroh Yoon, Jun Heo, Wonjin Sung, 2009, Journal of Communications and Networks.

PuVAE: A Variational Autoencoder to Purify Adversarial Examples

Nam Ik Cho, Jaewoo Park, Sungroh Yoon, 2019, IEEE Access.

Homomorphic Parameter Compression for Distributed Deep Learning Training pdf

Sungroh Yoon, Jaehee Jang, Byunggook Na, 2017, ArXiv.

XGBoost-Based Instantaneous Drowsiness Detection Framework Using Multitaper Spectral Information of Electroencephalography

Hyun-Soo Choi, Sungroh Yoon, Jung Ah Park, 2018, BCB.

Numerically efficient algorithm for modified trellis approaches

Sungroh Yoon, Hichan Moon, 2010, IEEE Transactions on Communications.

Near-Data Processing for Differentiable Machine Learning Models

Sungroh Yoon, Eui-Young Chung, Seongsik Park, 2016 .

Lasso Regression of RNA-Seq Data based on Bootstrapping for Robust Feature Selection

Sungroh Yoon, Jeonghee Jo, Sungroh Yoon, 2017 .

Mining Gene Sets for Measuring Similarities

Luca Benini, Giovanni De Micheli, Enrico Macii, 2006, 11th IEEE Symposium on Computers and Communications (ISCC'06).

Memory-Augmented Neural Networks on FPGA for Real-Time and Energy-Efficient Question Answering

Sungroh Yoon, Seongsik Park, Byunggook Na, 2021, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

Energy-Efficient Inference Accelerator for Memory-Augmented Neural Networks on an FPGA

Sungroh Yoon, Seongsik Park, Jaehee Jang, 2018, 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE).

Support vector machine based classification of 3-dimensional protein physicochemical environments for automated function annotation

Sungroh Yoon, Seunghak Yu, Taehoon Lee, 2010, Archives of pharmacal research.

Constructing Accurate Contact Maps for Hydroxyl-Radical-Cleavage-Based High-Throughput RNA Structure Inference

Sungroh Yoon, Hanjoo Kim, Jinkyu Kim, 2011, IEEE Transactions on Biomedical Engineering.

Pre-Training of Deep Bidirectional Protein Sequence Representations with Structural Information pdf

Sungroh Yoon, Seunghyun Park, Seonwoo Min, 2019, ArXiv.

Performance of a Turbo-Coded CDMA System in an Indoor Wireless Infrared Channel

Sungroh Yoon, Jun Heo, Jin-Young Kim, 2009 .

FloWaveNet : A Generative Flow for Raw Audio pdf

Sungwon Kim, Sungroh Yoon, Sang-gil Lee, 2018, ICML.

Learning Condensed and Aligned Features for Unsupervised Domain Adaptation Using Label Propagation pdf

Sungroh Yoon, Yongjun Hong, Jaeyoon Yoo, 2019, ArXiv.

Near-Data Processing for Machine Learning pdf

Sungroh Yoon, Eui-Young Chung, Sei Joon Kim, 2016, ArXiv.

Spiking-YOLO: Spiking Neural Network for Real-time Object Detection pdf

Sungroh Yoon, Seongsik Park, Byunggook Na, 2019, ArXiv.

Reinforcement Learning based Recommender System using Biclustering Technique pdf

Jung-Woo Ha, Sungroh Yoon, Uiwon Hwang, 2018, ArXiv.

deepMiRGene: Deep Neural Network based Precursor microRNA Prediction pdf

Seunghyun Park, Hyun-Soo Choi, Sungroh Yoon, 2016, ArXiv.

CASPER: context-aware scheme for paired-end reads from high-throughput amplicon sequencing

Byunghan Lee, Sungroh Yoon, Sunyoung Kwon, 2014, BMC Bioinformatics.

Memory-Augmented Neural Networks for Knowledge Tracing from the Perspective of Learning and Forgetting

Sungroh Yoon, Yongjun Hong, Uiwon Hwang, 2018, 1805.10768.

Robust classification of DNA damage patterns in single cell gel electrophoresis

Sungroh Yoon, Taehoon Lee, Hyeyoung Min, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Rapid and Robust Denoising of Pyrosequenced Amplicons for Metagenomics

Byunghan Lee, Sungroh Yoon, Joonhong Park, 2012, 2012 IEEE 12th International Conference on Data Mining.

Ensemble learning for robust prediction of microRNA-mRNA interactions

Sungroh Yoon, Juho Kim, Seunghak Yu, 2014, 2014 International Conference on Big Data and Smart Computing (BIGCOMP).

Application of maximin correlation analysis to classifying protein environments for function prediction.

Sungroh Yoon, Tae Hoon Lee, Hyeyoung Min, 2010, Biochemical and biophysical research communications.

Collaborative analytics for data silos

Byung-Gon Chun, Sungroh Yoon, Jinkyu Kim, 2016, 2016 IEEE 32nd International Conference on Data Engineering (ICDE).

Fast and Efficient Information Transmission with Burst Spikes in Deep Spiking Neural Networks

Sungroh Yoon, Sei Joon Kim, Seongsik Park, 2018, 2019 56th ACM/IEEE Design Automation Conference (DAC).

HiTRACE: high-throughput robust analysis for capillary electrophoresis

Seunghyun Park, Sungroh Yoon, Jinkyu Kim, 2011, Bioinform..

Ensemble algorithms for DNA motif finding

Sungroh Yoon, Juho Kim, Seunghak Yu, 2014, 2014 International Conference on Electronics, Information and Communications (ICEIC).

Uncluttered Single-Image Visualization of Vascular Structures Using GPU and Integer Programming

Joong-Ho Won, Sungroh Yoon, Yongkweon Jeon, 2013, IEEE Transactions on Visualization and Computer Graphics.

Analysis of the Training Performance and Time of SNN by STDP Algorithms and Spike Temporal Interactions

Sungroh Yoon, Seongsik Park, 2018 .

Application-Support Particle Filter for Dynamic Voltage Scaling of Multimedia Applications

Sungroh Yoon, Myoung-Jin Kim, Eui-Young Chung, 2012, IEEE Transactions on Computers.

Design Tradeoffs of SSDs

Jongmoo Choi, Sungroh Yoon, Youjip Won, 2015, ACM Trans. Storage.

IO Workload Characterization Revisited: A Data-Mining Approach

Jongmoo Choi, Sungroh Yoon, Youjip Won, 2014, IEEE Transactions on Computers.

TensorLightning: A Traffic-Efficient Distributed Deep Learning on Commodity Spark Clusters

Sungroh Yoon, Chang-Sung Jeong, Hanjoo Kim, 2018, IEEE Access.

K-maximin clustering: a maximin correlation approach to partition-based clustering

Sungroh Yoon, Taehoon Lee, Eui-Young Chung, 2009, IEICE Electron. Express.

Video Sequence Prediction Using Optical Flow

Sungroh Yoon, Jungbeom Lee, 2018 .

Correction to: HiComet: a high-throughput comet analysis tool for large-scale DNA damage assessment

Joong-Ho Won, Sungroh Yoon, Taehoon Lee, 2018, BMC Bioinformatics.

Quantized Memory-Augmented Neural Networks pdf

Sungroh Yoon, Sei Joon Kim, Seongsik Park, 2017, AAAI.

Accurate and Convenient Missing Well Log Synthesis using Generative Model

Sungroh Yoon, Jaeyoon Yoo, Changbeom Kang, 2020 .

Automated Facies Identification Using Unsupervised Clustering

Sungroh Yoon, Jaeyoon Yoo, Youngjun Hong, 2020 .

LncRNAnet: long non‐coding RNA identification using deep learning

Byunghan Lee, Sungroh Yoon, Sunyoung Kwon, 2018, Bioinform..

HiTRACE-Web: an online tool for robust analysis of high-throughput capillary electrophoresis

Sungroh Yoon, Pablo Cordero, Hanjoo Kim, 2013, Nucleic Acids Res..

Blood Pressure Prediction by a Smartphone Sensor using Fully Convolutional Networks

Jiyong Jang, Sungroh Yoon, Jong Min Choi, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization

Sungroh Yoon, Saehyung Lee, Hyungyu Lee, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Neural Universal Discrete Denoiser

Byunghan Lee, Sungroh Yoon, Taesup Moon, 2016, NIPS.

Biometric Authentication Using Noisy Electrocardiograms Acquired by Mobile Sensors

Hyun-Soo Choi, Byunghan Lee, Sungroh Yoon, 2016, IEEE Access.

AnomiGAN: Generative Adversarial Networks for Anonymizing Private Medical Data

Sungroh Yoon, Ho Bae, Dahuin Jung, 2019, PSB.

Manifold Regularized Deep Neural Networks using Adversarial Examples pdf

Sungroh Yoon, Taehoon Lee, Minsuk Choi, 2015, ArXiv.

NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity pdf

Sungwon Kim, Sungroh Yoon, Sang-gil Lee, 2020, NeurIPS.

Generalized Steganalysis using Deep Learning

Sungroh Yoon, Hyunjae Kim, Gyuwan Kim, 2017 .

DUDE-Seq: Fast, flexible, and robust denoising of nucleotide sequences

Tsachy Weissman, Byunghan Lee, Sungroh Yoon, 2015 .

Detecting System Anomalies in Multivariate Time Series with Information Transfer and Random Walk

Donghun Lee, Hyun-Soo Choi, Sungroh Yoon, 2018, 2018 IEEE/ACM 5th International Conference on Big Data Computing Applications and Technologies (BDCAT).

Liver Lesion Detection from Weakly-labeled Multi-phase CT Volumes with a Grouped Single Shot MultiBox Detector pdf

Jung Hoon Kim, Sungroh Yoon, Hyunjae Kim, 2018, MICCAI.

Customization of IBM Intu's Voice by Connecting Text-to-Speech Services and a Voice Conversion Network

Sungroh Yoon, Minseok Kim, Hyunjae Kim, 2018, HICSS.

T2FSNN: Deep Spiking Neural Networks with Time-to-first-spike Coding

Sungroh Yoon, Seongsik Park, Byunggook Na, 2020, 2020 57th ACM/IEEE Design Automation Conference (DAC).

Performance analysis of network coding with raptor codes for multimedia broadcast services

Sungroh Yoon, Jun Heo, Kwangseok Noh, 2009, 2009 Digest of Technical Papers International Conference on Consumer Electronics.

In-depth analysis of interrelation between quality scores and real errors in illumina reads

Seunghyun Park, Byunghan Lee, Sungroh Yoon, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

NAND Flash Memory With Multiple Page Sizes for High-Performance Storage Devices

Ki-Whan Song, Sungroh Yoon, Jinyoung Kim, 2016, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

Learning-Based Instantaneous Drowsiness Detection Using Wired and Wireless Electroencephalography

Sungroh Yoon, Seonwoo Min, Siwon Kim, 2019, IEEE Access.

MSnet: Mutual Suppression Network for Disentangled Video Representations pdf

Sungroh Yoon, Jangho Lee, Jungbeom Lee, 2018, ArXiv.

Information-Theoretic Visual Explanation for Black-Box Classifiers pdf

Sungroh Yoon, Eunji Kim, Siwon Kim, 2020, ArXiv.

Verification methodology for the IMT-Advanced channel simulator

Seong-Jun Oh, Jae Joon Park, Sungroh Yoon, 2011, IEICE Electron. Express.

Exploiting multiple switch libraries in topology synthesis of on-chip interconnection network

Sungroh Yoon, Eui-Young Chung, Minje Jun, 2010, 2010 Design, Automation & Test in Europe Conference & Exhibition (DATE 2010).

Regularization and Kernelization of the Maximin Correlation Approach

Sungroh Yoon, Taehoon Lee, Taesup Moon, 2015, IEEE Access.

iCaps: An Interpretable Classifier via Disentangled Capsule Networks pdf

Sungroh Yoon, Jonghyun Lee, Dahuin Jung, 2020, ECCV.

GPU-based acceleration of an RNA tertiary structure prediction algorithm

Sungroh Yoon, Eui-Young Chung, Yongkweon Jeon, 2013, Comput. Biol. Medicine.

Deduplication in SSDs: Model and quantitative analysis

Jongmoo Choi, Sang Yup Lee, Sungroh Yoon, 2012, 012 IEEE 28th Symposium on Mass Storage Systems and Technologies (MSST).

Discovering coherent biclusters from gene expression data using zero-suppressed binary decision diagrams

Luca Benini, Giovanni De Micheli, Sungroh Yoon, 2005, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Removing Undesirable Feature Contributions Using Out-of-Distribution Data pdf

Sungroh Yoon, Jihun Yi, Saehyung Lee, 2021, ICLR.

Pre-Training of Deep Bidirectional Protein Sequence Representations With Structural Information

Seunghyun Park, Hyun-Soo Choi, Sungroh Yoon, 2019, IEEE Access.

Stein Latent Optimization for GANs pdf

Sungroh Yoon, Uiwon Hwang, Dahuin Jung, 2021, ArXiv.

BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation

Sungroh Yoon, Jungbeom Lee, Jihun Yi, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Flexible dual-branched message passing neural network for quantum mechanical property prediction with molecular conformation pdf

Byunghan Lee, Sungroh Yoon, Jeonghee Jo, 2021, ArXiv.

Training Energy-Efficient Deep Spiking Neural Networks with Time-to-First-Spike Coding pdf

Sungroh Yoon, Seongsik Park, 2021, ArXiv.

Accelerating Neural Architecture Search via Proxy Data

Sungroh Yoon, Byunggook Na, Hyeokjun Choe, 2021, IJCAI.

Energy-efficient Knowledge Distillation for Spiking Neural Networks pdf

Sungroh Yoon, Seongsik Park, Dongjin Lee, 2021, ArXiv.

PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Driven Adaptive Prior pdf

Tao Qin, Qi Meng, Sungroh Yoon, 2021, ArXiv.

Noise-Robust Deep Spiking Neural Networks with Temporal Information

Sungroh Yoon, Seongsik Park, Dongjin Lee, 2021, 2021 58th ACM/IEEE Design Automation Conference (DAC).

Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation

Sungroh Yoon, Jungbeom Lee, Eunji Kim, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

XProtoNet: Diagnosis in Chest Radiography with Global and Local Explanations

Sungroh Yoon, Eunji Kim, Siwon Kim, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Methodology for Big Data Analysis Using Data from National Health Insurance Service: Preliminary Methodologic Study and Review about the Relationship between Sinus Surgery and Asthma

Sungroh Yoon, Seunghak Yu, Sungroh Yoon, 2015 .

Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization

Sungroh Yoon, Saehyung Lee, Hyungyu Lee, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Can the prostate risk calculator based on western population be applied to asian population?

Sungroh Yoon, Man Sik Park, Jeong Gu Lee, 2012, The Prostate.

Large-scale machine learning of media outlets for understanding public reactions to nation-wide viral infection outbreaks

Sungroh Yoon, Hyeyoung Min, Min-Gyu Kang, 2017, Methods.

Prediction of the sequence-specific cleavage activity of Cas9 variants

Sungroh Yoon, Sung-Rae Cho, Seonwoo Min, 2020, Nature Biotechnology.

vHoT: a database for predicting interspecies interactions between viral microRNA and host genomes

Seunghyun Park, Sungroh Yoon, Hyeyoung Min, 2011, Archives of Virology.

Finding Co-Clusters of Genes and Clinical Parameters

L. Benini, G. De Micheli, Sungroh Yoon, 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

Initial Biopsy Outcome Prediction in Korean Patients-Comparison of a Noble Web-based Korean Prostate Cancer Risk Calculator versus Prostate-specific Antigen Testing

Sungroh Yoon, Man Sik Park, Sungroh Yoon, 2010, Journal of Korean medical science.

Prediction and Analysis of Human microRNA Regulatory Modules

G. De Micheli, Sungroh Yoon, 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

Large-Scale Structured Sparsity via Parallel Fused Lasso on Multiple GPUs

Joong-Ho Won, Sungroh Yoon, Johan Lim, 2017 .

Discovering Coherent Biclusters from Gene Expression Data Using Zero-Suppressed Binary Decision Diagrams

Luca Benini, Giovanni De Micheli, Sungroh Yoon, 2005, TCBB.