Sungroh Yoon

According to our database1, Sungroh Yoon authored at least 209 papers between 2004 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
PixelSteganalysis: Pixel-Wise Hidden Information Removal With Low Visual Degradation.
IEEE Trans. Dependable Secur. Comput., 2023

2022
Imbalanced Data Classification via Cooperative Interaction Between Classifier and Generator.
IEEE Trans. Neural Networks Learn. Syst., 2022

Data Embedding Scheme for Efficient Program Behavior Modeling With Neural Networks.
IEEE Trans. Emerg. Top. Comput. Intell., 2022

DNA Privacy: Analyzing Malicious DNA Sequences Using Deep Neural Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Out of Sight, Out of Mind: A Source-View-Wise Feature Aggregation for Multi-View Image-Based Rendering.
CoRR, 2022

BigVGAN: A Universal Neural Vocoder with Large-Scale Training.
CoRR, 2022

Guided-TTS 2: A Diffusion Model for High-quality Adaptive Text-to-Speech with Untranscribed Data.
CoRR, 2022

Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object Localization.
CoRR, 2022

TargetNet: functional microRNA target prediction with deep neural networks.
Bioinform., 2022

FedClassAvg: Local Representation Learning for Personalized Federated Learning on Heterogeneous Neural Networks.
Proceedings of the 51st International Conference on Parallel Processing, 2022

AutoSNN: Towards Energy-Efficient Spiking Neural Networks.
Proceedings of the International Conference on Machine Learning, 2022

Dataset Condensation with Contrastive Signals.
Proceedings of the International Conference on Machine Learning, 2022

Guided-TTS: A Diffusion Model for Text-to-Speech via Classifier Guidance.
Proceedings of the International Conference on Machine Learning, 2022

Confidence Score for Source-Free Unsupervised Domain Adaptation.
Proceedings of the International Conference on Machine Learning, 2022

PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Stein Latent Optimization for Generative Adversarial Networks.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Demystifying the Neural Tangent Kernel from a Practical Perspective: Can it be trusted for Neural Architecture Search without training?
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Weakly Supervised Semantic Segmentation using Out-of-Distribution Data.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

BNUDC: A Two-Branched Deep Neural Network for Restoring Images from Under-Display Cameras.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Bridging the Gap between Classification and Localization for Weakly Supervised Object Localization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Perception Prioritized Training of Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Privacy-Preserving Deep Sequential Model with Matrix Homomorphic Encryption.
Proceedings of the ASIA CCS '22: ACM Asia Conference on Computer and Communications Security, Nagasaki, Japan, 30 May 2022, 2022

Membership Feature Disentanglement Network.
Proceedings of the ASIA CCS '22: ACM Asia Conference on Computer and Communications Security, Nagasaki, Japan, 30 May 2022, 2022

Rare Tokens Degenerate All Tokens: Improving Neural Text Generation via Adaptive Gradient Gating for Rare Token Embeddings.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Towards a Rigorous Evaluation of Time-Series Anomaly Detection.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Memory-Augmented Neural Networks on FPGA for Real-Time and Energy-Efficient Question Answering.
IEEE Trans. Very Large Scale Integr. Syst., 2021

Feature Concentration for Supervised and Semisupervised Learning With Unbalanced Datasets in Visual Inspection.
IEEE Trans. Ind. Electron., 2021

Learn2Evade: Learning-Based Generative Model for Evading PDF Malware Classifiers.
IEEE Trans. Artif. Intell., 2021

Single-image deblurring with neural networks: A comparative survey.
Comput. Vis. Image Underst., 2021

Robust End-to-End Focal Liver Lesion Detection using Unregistered Multiphase Computed Tomography Images.
CoRR, 2021

Supervised Neural Discrete Universal Denoiser for Adaptive Denoising.
CoRR, 2021

Guided-TTS: Text-to-Speech with Untranscribed Speech.
CoRR, 2021

Scalable Smartphone Cluster for Deep Learning.
CoRR, 2021

FICGAN: Facial Identity Controllable GAN for De-identification.
CoRR, 2021

Rare Words Degenerate All Words.
CoRR, 2021

Geometry-aware Transformer for molecular property prediction.
CoRR, 2021

Flexible dual-branched message passing neural network for quantum mechanical property prediction with molecular conformation.
CoRR, 2021

Energy-efficient Knowledge Distillation for Spiking Neural Networks.
CoRR, 2021

PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Driven Adaptive Prior.
CoRR, 2021

Stein Latent Optimization for GANs.
CoRR, 2021

Training Energy-Efficient Deep Spiking Neural Networks with Time-to-First-Spike Coding.
CoRR, 2021

MUGAN: multi-GPU accelerated AmpliconNoise server for rapid microbial diversity assessment.
Bioinform., 2021

Pre-Training of Deep Bidirectional Protein Sequence Representations With Structural Information.
IEEE Access, 2021

Gradient Masking of Label Smoothing in Adversarial Robustness.
IEEE Access, 2021

NASCUP: Nucleic Acid Sequence Classification by Universal Probability.
IEEE Access, 2021

Towards Fast and Accurate Object Detection in Bio-Inspired Spiking Neural Networks Through Bayesian Optimization.
IEEE Access, 2021

Deep Learning for Anomaly Detection in Time-Series Data: Review, Analysis, and Guidelines.
IEEE Access, 2021

Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Accelerating Neural Architecture Search via Proxy Data.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Removing Undesirable Feature Contributions Using Out-of-Distribution Data.
Proceedings of the 9th International Conference on Learning Representations, 2021

Personalized Face Authentication Based On Few-Shot Meta-Learning.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

AdvRush: Searching for Adversarially Robust Neural Architectures.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Toward Spatially Unbiased Generative Models.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

AligNART: Non-autoregressive Neural Machine Translation by Jointly Learning to Estimate Alignment and Translate.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Noise-Robust Deep Spiking Neural Networks with Temporal Information.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

XProtoNet: Diagnosis in Chest Radiography With Global and Local Explanations.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Towards High Generalization Performance on Electrocardiogram Classification.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

Variance-stationary Differentiable NAS.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Momentum Contrast Speaker Representation Learning.
CoRR, 2020

Information-Theoretic Visual Explanation for Black-Box Classifiers.
CoRR, 2020

Joint Contrastive Learning for Unsupervised Domain Adaptation.
CoRR, 2020

Anomaly Detection by Learning Dynamics From a Graph.
IEEE Access, 2020

AnomiGAN: Generative Adversarial Networks for Anonymizing Private Medical Data.
Proceedings of the Pacific Symposium on Biocomputing 2020, 2020

NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Interpretation of NLP models through input marginalization.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Blood Pressure Prediction by a Smartphone Sensor using Fully Convolutional Networks.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

iCaps: An Interpretable Classifier via Disentangled Capsule Networks.
Proceedings of the Computer Vision - ECCV 2020, 2020

Energy-aware Placement for SRAM-NVM Hybrid FPGAs.
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

T2FSNN: Deep Spiking Neural Networks with Time-to-first-spike Coding.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Bag of Tricks for Electrocardiogram Classification With Deep Neural Networks.
Proceedings of the Computing in Cardiology, 2020

Patch SVDD: Patch-Level SVDD for Anomaly Detection and Segmentation.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object Detection.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
End-to-End Representation Learning for Chemical-Chemical Interaction Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019

How Generative Adversarial Networks and Their Variants Work: An Overview.
ACM Comput. Surv., 2019

Pre-Training of Deep Bidirectional Protein Sequence Representations with Structural Information.
CoRR, 2019

One-Shot Learning for Text-to-SQL Generation.
CoRR, 2019

Spiking-YOLO: Spiking Neural Network for Real-time Object Detection.
CoRR, 2019

Learning Condensed and Aligned Features for Unsupervised Domain Adaptation Using Label Propagation.
CoRR, 2019

AnomiGAN: Generative adversarial networks for anonymizing private medical data.
CoRR, 2019

Comprehensive ensemble in QSAR prediction for drug discovery.
BMC Bioinform., 2019

Pediatric Sleep Stage Classification Using Multi-Domain Hybrid Neural Networks.
IEEE Access, 2019

PuVAE: A Variational Autoencoder to Purify Adversarial Examples.
IEEE Access, 2019

Learning-Based Instantaneous Drowsiness Detection Using Wired and Wireless Electroencephalography.
IEEE Access, 2019

End-to-End Blood Pressure Prediction via Fully Convolutional Networks.
IEEE Access, 2019

DNA Steganalysis Using Deep Recurrent Neural Networks.
Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019

FloWaveNet : A Generative Flow for Raw Audio.
Proceedings of the 36th International Conference on Machine Learning, 2019

HexaGAN: Generative Adversarial Nets for Real World Classification.
Proceedings of the 36th International Conference on Machine Learning, 2019

Frame-to-Frame Aggregation of Active Regions in Web Videos for Weakly Supervised Semantic Segmentation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Energy-Efficient Inference Accelerator for Memory-Augmented Neural Networks on an FPGA.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

Real-Time Anomalous Branch Behavior Inference with a GPU-inspired Engine for Machine Learning Models.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

Fast and Efficient Information Transmission with Burst Spikes in Deep Spiking Neural Networks.
Proceedings of the 56th Annual Design Automation Conference 2019, 2019

FickleNet: Weakly and Semi-Supervised Semantic Image Segmentation Using Stochastic Inference.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Mutual Suppression Network for Video Prediction using Disentangled Features.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

Prediction of Drug Classes with a Deep Neural Network using Drug Targets and Chemical Structure Data.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
hc-OTU: A Fast and Accurate Method for Clustering Operational Taxonomic Units Based on Homopolymer Compaction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018

FloWaveNet : A Generative Flow for Raw Audio.
CoRR, 2018

Security and Privacy Issues in Deep Learning.
CoRR, 2018

Robust Tumor Localization with Pyramid Grad-CAM.
CoRR, 2018

Intelligent Knowledge Tracing: More Like a Real Learning Process of a Student.
CoRR, 2018

Streaming MANN: A Streaming-Based Inference for Energy-Efficient Memory-Augmented Neural Networks.
CoRR, 2018

Deep Learning on Key Performance Indicators for Predictive Maintenance in SAP HANA.
CoRR, 2018

MSnet: Mutual Suppression Network for Disentangled Video Representations.
CoRR, 2018

Extended Abstract: Mimicry Resilient Program Behavior Modeling with LSTM based Branch Models.
CoRR, 2018

Reinforcement Learning based Recommender System using Biclustering Technique.
CoRR, 2018

Correction to: HiComet: a high-throughput comet analysis tool for large-scale DNA damage assessment.
BMC Bioinform., 2018

HiComet: a high-throughput comet analysis tool for large-scale DNA damage assessment.
BMC Bioinform., 2018

LncRNAnet: long non-coding RNA identification using deep learning.
Bioinform., 2018

CloudSocket: Fine-Grained Power Sensing System for Datacenters.
IEEE Access, 2018

TensorLightning: A Traffic-Efficient Distributed Deep Learning on Commodity Spark Clusters.
IEEE Access, 2018

Liver Lesion Detection from Weakly-Labeled Multi-phase CT Volumes with a Grouped Single Shot MultiBox Detector.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Customization of IBM Intu's Voice by Connecting Text-to-Speech Services and a Voice Conversion Network.
Proceedings of the 51st Hawaii International Conference on System Sciences, 2018

Detecting System Anomalies in Multivariate Time Series with Information Transfer and Random Walk.
Proceedings of the 5th IEEE/ACM International Conference on Big Data Computing Applications and Technologies, 2018

XGBoost-Based Instantaneous Drowsiness Detection Framework Using Multitaper Spectral Information of Electroencephalography.
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

Breast cancer recurrence data preparation and prediction algorithm development.
Proceedings of the AMIA 2018, 2018

Quantized Memory-Augmented Neural Networks.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
An effective pre-store/pre-load method exploiting intra-request idle time of NAND flash-based storage devices.
Microprocess. Microsystems, 2017

Autonomous UAV Navigation with Domain Adaptation.
CoRR, 2017

Homomorphic Parameter Compression for Distributed Deep Learning Training.
CoRR, 2017

How Generative Adversarial Nets and its variants Work: An Overview of GAN.
CoRR, 2017

Disease Prediction from Electronic Health Records Using Generative Adversarial Networks.
CoRR, 2017

A SeqGAN for Polyphonic Music Generation.
CoRR, 2017

Energy-Based Sequence GANs for Recommendation and Their Connection to Imitation Learning.
CoRR, 2017

Building a Neural Machine Translation System Using Only Synthetic Parallel Data.
CoRR, 2017

Deep learning in bioinformatics.
Briefings Bioinform., 2017

NC-Link: A New Linkage Method for Efficient Hierarchical Clustering of Large-Scale Data.
IEEE Access, 2017

Deep Recurrent Neural Network-Based Identification of Precursor microRNAs.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Training IBM Watson Using Automatically Generated Question-Answer Pairs.
Proceedings of the 50th Hawaii International Conference on System Sciences, 2017

DeepCCI: End-to-end Deep Learning for Chemical-Chemical Interaction Prediction.
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

Transfer Learning for Deep Learning on Graph-Structured Data.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
NAND Flash Memory With Multiple Page Sizes for High-Performance Storage Devices.
IEEE Trans. Very Large Scale Integr. Syst., 2016

Exploiting Compression-Induced Internal Fragmentation for Power-Off Recovery in SSD.
IEEE Trans. Computers, 2016

deepMiRGene: Deep Neural Network based Precursor microRNA Prediction.
CoRR, 2016

An Efficient Approach to Boosting Performance of Deep Spiking Network Training.
CoRR, 2016

Intrinsic Geometric Information Transfer Learning on Multiple Graph-Structured Datasets.
CoRR, 2016

LSTM-Based System-Call Language Modeling and Robust Ensemble Method for Designing Host-Based Intrusion Detection Systems.
CoRR, 2016

DeepSpark: Spark-Based Deep Learning Supporting Asynchronous Updates and Caffe Compatibility.
CoRR, 2016

Near-Data Processing for Machine Learning.
CoRR, 2016

Will solid-state drives accelerate your bioinformatics? In-depth profiling, performance analysis and beyond.
Briefings Bioinform., 2016

Regularization and Kernelization of the Maximin Correlation Approach.
IEEE Access, 2016

Biometric Authentication Using Noisy Electrocardiograms Acquired by Mobile Sensors.
IEEE Access, 2016

Neural Universal Discrete Denoiser.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Collaborative analytics for data silos.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

Mining internet media for monitoring changes of public emotions about infectious diseases.
Proceedings of the 32nd IEEE International Conference on Data Engineering Workshops, 2016

CloudSocket: Smart grid platform for datacenters.
Proceedings of the 34th IEEE International Conference on Computer Design, 2016

deepTarget: End-to-end Learning Framework for microRNA Target Prediction using Deep Recurrent Neural Networks.
Proceedings of the 7th ACM International Conference on Bioinformatics, 2016

2015
Multi-Threaded Hierarchical Clustering by Parallel Nearest-Neighbor Chaining.
IEEE Trans. Parallel Distributed Syst., 2015

Design Tradeoffs of SSDs: From Energy Consumption's Perspective.
ACM Trans. Storage, 2015

FRAME: Fast and Realistic Attacker Modeling and Evaluation for Temporal Logical Correlation in Static Noise.
CoRR, 2015

DUDE-Seq: Fast Universal Denoising of Nucleotide Sequences.
CoRR, 2015

DNA-Level Splice Junction Prediction using Deep Recurrent Neural Networks.
CoRR, 2015

Will solid-state drives accelerate your bioinformatics? In-depth profiling, performance analysis, and beyond.
CoRR, 2015

Manifold Regularized Deep Neural Networks using Adversarial Examples.
CoRR, 2015

NASCUP: Nucleic Acid Sequence Classification by Universal Probability.
CoRR, 2015

A High-Performance Solid-State Disk with Double-Data-Rate NAND Flash Memory.
CoRR, 2015

Automated band annotation for RNA structure probing experiments with numerous capillary electrophoresis profiles.
Bioinform., 2015

Boosted Categorical Restricted Boltzmann Machine for Computational Prediction of Splice Junctions.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Measuring Large-Scale Dynamic Graph Similarity by RICom: RWR with Intergraph Compression.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Big/little deep neural network for ultra low power inference.
Proceedings of the 2015 International Conference on Hardware/Software Codesign and System Synthesis, 2015

Computational prediction of competitive endogenous RNA.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2015

FingerNet: Deep learning-based robust finger joint detection from radiographs.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2015

Wearable and wireless measurement system for evaluating penile tumescence.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2015

2014
IO Workload Characterization Revisited: A Data-Mining Approach.
IEEE Trans. Computers, 2014

Design of a bitmap-based QoS-aware memory controller for a packet memory.
IEICE Electron. Express, 2014

CASPER: context-aware scheme for paired-end reads from high-throughput amplicon sequencing.
BMC Bioinform., 2014

Analytical model of SSD parallelism.
Proceedings of the 4th International Conference On Simulation And Modeling Methodologies, 2014

Ensemble algorithms for DNA motif finding.
Proceedings of the International Conference on Electronics, Information and Communications, 2014

Ensemble learning for robust prediction of microRNA-mRNA interactions.
Proceedings of the International Conference on Big Data and Smart Computing, BIGCOMP 2014, 2014

2013
Uncluttered Single-Image Visualization of Vascular Structures Using GPU and Integer Programming.
IEEE Trans. Vis. Comput. Graph., 2013

Massively Parallel Energy Space Exploration for Uncluttered Visualization of Vascular Structures.
IEEE Trans. Biomed. Eng., 2013

HiTRACE-Web: an online tool for robust analysis of high-throughput capillary electrophoresis.
Nucleic Acids Res., 2013

GPU-based acceleration of an RNA tertiary structure prediction algorithm.
Comput. Biol. Medicine, 2013

VSSIM: Virtual machine based SSD simulator.
Proceedings of the IEEE 29th Symposium on Mass Storage Systems and Technologies, 2013

Robust classification of DNA damage patterns in single cell gel electrophoresis.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

In-depth analysis of interrelation between quality scores and real errors in illumina reads.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012
Application-Support Particle Filter for Dynamic Voltage Scaling of Multimedia Applications.
IEEE Trans. Computers, 2012

Deduplication in SSDs: Model and quantitative analysis.
Proceedings of the IEEE 28th Symposium on Mass Storage Systems and Technologies, 2012

Rapid and Robust Denoising of Pyrosequenced Amplicons for Metagenomics.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

2011
Buffer Controller-Based Multiple Processing Element Utilization for Dataflow Synthesis.
IEEE Trans. Very Large Scale Integr. Syst., 2011

Energy-Aware Interconnect Resource Reduction Through Buffer Access Manipulation for Data-Centric Applications.
IEEE Trans. Very Large Scale Integr. Syst., 2011

Constructing Accurate Contact Maps for Hydroxyl-Radical-Cleavage-Based High-Throughput RNA Structure Inference.
IEEE Trans. Biomed. Eng., 2011

Verification methodology for the IMT-Advanced channel simulator.
IEICE Electron. Express, 2011

HiTRACE: high-throughput robust analysis for capillary electrophoresis.
Bioinform., 2011

Fast sort of floating-point data for data engineering.
Adv. Eng. Softw., 2011

SSD Characterization: From Energy Consumption's Perspective.
Proceedings of the 3rd USENIX Workshop on Hot Topics in Storage and File Systems, 2011

2010
Numerically efficient algorithm for modified trellis approaches.
IEEE Trans. Commun., 2010

Concurrent simulation platform for energy-aware smart metering systems.
IEEE Trans. Consumer Electron., 2010

Architecture Exploration of High-Performance PCs with a Solid-State Disk.
IEEE Trans. Computers, 2010

Exploiting multiple switch libraries in topology synthesis of on-chip interconnection network.
Proceedings of the Design, Automation and Test in Europe, 2010

2009
Performance analysis of network coding with raptor codes for IPTV.
IEEE Trans. Consumer Electron., 2009

High-Speed Post-Layout Logic Simulation Using Quasi-Static Clock Event Evaluation.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2009

Run-Time Adaptive Workload Estimation for Dynamic Voltage Scaling.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2009

A good puncturing scheme for rate compatible low-density parity-check codes.
J. Commun. Networks, 2009

K-maximin clustering: a maximin correlation approach to partition-based clustering.
IEICE Electron. Express, 2009

Nonlinear preprocessing method for detecting peaks from gas chromatograms.
BMC Bioinform., 2009

A robust peak detection method for RNA structure inference by high-throughput contact mapping.
Bioinform., 2009

2008
Joint co-clustering: Co-clustering of genomic and clinical bioimaging data.
Comput. Math. Appl., 2008

2007
Co-clustering: A Versatile Tool for Data Analysis in Biomedical Informatics.
IEEE Trans. Inf. Technol. Biomed., 2007

Clustering protein environments for function prediction: finding PROSITE motifs in 3D.
BMC Bioinform., 2007

2006
A Pattern-Mining Method for High-Throughput Lab-on-a-Chip Data Analysis.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2006

Mining Gene Sets for Measuring Similarities.
Proceedings of the 11th IEEE Symposium on Computers and Communications (ISCC 2006), 2006

Exploiting Binary Abstractions in Deciphering Gene Interactions.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

2005
Discovering Coherent Biclusters from Gene Expression Data Using Zero-Suppressed Binary Decision Diagrams.
IEEE ACM Trans. Comput. Biol. Bioinform., 2005

Prediction of regulatory modules comprising microRNAs and target genes.
Proceedings of the ECCB/JBI'05 Proceedings, Fourth European Conference on Computational Biology/Sixth Meeting of the Spanish Bioinformatics Network (Jornadas de BioInformática), Palacio de Congresos, Madrid, Spain, September 28, 2005

2004
Enhanced pClustering and Its Applications to Gene Expression Data.
Proceedings of the 4th IEEE International Symposium on BioInformatics and BioEngineering (BIBE 2004), 2004


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