Byung-Jun Yoon
Orcid: 0000-0001-9328-1101
According to our database1,
Byung-Jun Yoon
authored at least 112 papers
between 2003 and 2024.
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Bibliography
2024
Neural machine translation of clinical procedure codes for medical diagnosis and uncertainty quantification.
CoRR, 2024
Multi-modal Representation Learning for Cross-modal Prediction of Continuous Weather Patterns from Discrete Low-Dimensional Data.
CoRR, 2024
2023
IEEE Trans. Knowl. Data Eng., November, 2023
Patterns, November, 2023
Knowledge-driven learning, optimization, and experimental design under uncertainty for materials discovery.
Patterns, November, 2023
Patterns, November, 2023
J. Comput. Biol., July, 2023
Neural message-passing for objective-based uncertainty quantification and optimal experimental design.
Eng. Appl. Artif. Intell., 2023
Learning Active Subspaces for Effective and Scalable Uncertainty Quantification in Deep Neural Networks.
CoRR, 2023
Comparative Performance Evaluation of Large Language Models for Extracting Molecular Interactions and Pathway Knowledge.
CoRR, 2023
A Rigorous Uncertainty-Aware Quantification Framework Is Essential for Reproducible and Replicable Machine Learning Workflows.
CoRR, 2023
Automated Extraction of Molecular Interactions and Pathway Knowledge using Large Language Model, Galactica: Opportunities and Challenges.
Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023
Enhancing Cryo-EM Particle Picking Through Consistency Model-based Latent Space Denoiser.
Proceedings of the 14th ACM International Conference on Bioinformatics, 2023
2022
Robust importance sampling for error estimation in the context of optimal Bayesian transfer learning.
Patterns, 2022
CoRR, 2022
Deep graph representations embed network information for robust disease marker identification.
Bioinform., 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Comprehensive analysis of gene expression profiles to radiation exposure reveals molecular signatures of low-dose radiation response.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
Accelerating Optimal Experimental Design for Robust Synchronization of Uncertain Kuramoto Oscillator Model Using Machine Learning.
IEEE Trans. Signal Process., 2021
Int. J. High Perform. Comput. Appl., 2021
MONACO: accurate biological network alignment through optimal neighborhood matching between focal nodes.
Bioinform., 2021
Optimal Experimental Design for Uncertain Systems Based on Coupled Differential Equations.
IEEE Access, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021
Physics-constrained Automatic Feature Engineering for Predictive Modeling in Materials Science.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Model-Based Robust Filtering and Experimental Design for Stochastic Differential Equation Systems.
IEEE Trans. Signal Process., 2020
ClusterM: a scalable algorithm for computational prediction of conserved protein complexes across multiple protein interaction networks.
BMC Genom., 2020
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020
Machine Learning Enabled Adaptive Wireless Power Transmission System for Neuroscience Study.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020
2019
Selected research articles from the 2018 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC).
BMC Bioinform., 2019
Bioinform., 2019
2018
IEEE ACM Trans. Comput. Biol. Bioinform., 2018
IEEE ACM Trans. Comput. Biol. Bioinform., 2018
Selected research articles from the 2017 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC).
BMC Bioinform., 2018
Comprehensive Updates in Network Synthesis Models to Create An Improved Benchmark for Network Alignment Algorithms.
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018
2017
Optimal hybrid sequencing and assembly: Feasibility conditions for accurate genome reconstruction and cost minimization strategy.
Comput. Biol. Chem., 2017
SEQUOIA: significance enhanced network querying through context-sensitive random walk and minimization of network conductance.
BMC Syst. Biol., 2017
Selected research articles from the 2016 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC).
BMC Bioinform., 2017
CUFID-query: accurate network querying through random walk based network flow estimation.
BMC Bioinform., 2017
Effective computational detection of piRNAs using n-gram models and support vector machine.
BMC Bioinform., 2017
CNB-MAC'17: The Fourth International Workshop on Computational Network Biology: Modeling, Analysis, and Control.
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017
2016
Incorporating topological information for predicting robust cancer subnetwork markers in human protein-protein interaction network.
BMC Bioinform., 2016
Effective comparative analysis of protein-protein interaction networks by measuring the steady-state network flow using a Markov model.
BMC Bioinform., 2016
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Proceedings of the Big Data over Networks, 2016
2015
Computational identification of genetic subnetwork modules associated with maize defense response to Fusarium verticillioides.
BMC Bioinform., December, 2015
BMC Bioinform., December, 2015
Optimal Experimental Design for Gene Regulatory Networks in the Presence of Uncertainty.
IEEE ACM Trans. Comput. Biol. Bioinform., 2015
IEEE Signal Process. Lett., 2015
Pattern Recognit., 2015
BMC Syst. Biol., 2015
Erratum to: Efficient experimental design for uncertainty reduction in gene regulatory networks.
BMC Bioinform., 2015
Computational identification of key functional genes associated with <i>fusarium verticillioides</i> pathogenicity.
Proceedings of the 6th ACM Conference on Bioinformatics, 2015
Identifying molecular complexes in biological networks through context sensitive network querying.
Proceedings of the 6th ACM Conference on Bioinformatics, 2015
2014
Simultaneous identification of robust synergistic subnetwork markers for effective cancer prognosis.
EURASIP J. Bioinform. Syst. Biol., 2014
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014
Computationally efficient experimental design strategy for reducing gene network uncertainty.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014
Computational identification of functional network modules associated with the pathogenicity of <i>Fusarium verticillioides</i>.
Proceedings of the 5th ACM Conference on Bioinformatics, 2014
A novel context-sensitive random walk model for estimating node correspondence between two biological networks.
Proceedings of the 5th ACM Conference on Bioinformatics, 2014
2013
IEEE Trans. Signal Process., 2013
Classifier design given an uncertainty class of feature distributions via regularized maximum likelihood and the incorporation of biological pathway knowledge in steady-state phenotype classification.
Pattern Recognit., 2013
Identification of Robust Pathway Markers for Cancer through Rank-Based Pathway Activity Inference.
Adv. Bioinformatics, 2013
Finding robust subnetwork markers that improve cross-dataset performance of cancer classification.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013
Designing experiments for optimal reduction of uncertainty in gene regulatory networks.
Proceedings of the 2013 IEEE International Workshop on Genomic Signal Processing and Statistics, 2013
Proceedings of the 21st European Signal Processing Conference, 2013
2012
Comparative Analysis of Biological Networks: Hidden Markov model and Markov chain-based approach.
IEEE Signal Process. Mag., 2012
RESQUE: Network reduction using semi-Markov random walk scores for efficient querying of biological networks.
Bioinform., 2012
RESQUE: Network Reduction Using Semi-Markov Random Walk Scores for Efficient Querying of Biological Networks (Extended Abstract).
Proceedings of the Research in Computational Molecular Biology, 2012
Structural intervention of gene regulatory networks by general rank-k matrix perturbation.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
Proceedings of the Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics, 2012
Proceedings of the Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics, 2012
2011
PicXAA-Web: a web-based platform for non-progressive maximum expected accuracy alignment of multiple biological sequences.
Nucleic Acids Res., 2011
Enhanced stochastic optimization algorithm for finding effective multi-target therapeutics.
BMC Bioinform., 2011
PicXAA-R: Efficient structural alignment of multiple RNA sequences using a greedy approach.
BMC Bioinform., 2011
Comparative analysis of protein interaction networks reveals that conserved pathways are susceptible to HIV-1 interception.
BMC Bioinform., 2011
Enhancing the accuracy of HMM-based conserved pathway prediction using global correspondence scores.
BMC Bioinform., 2011
Probabilistic reconstruction of the tumor progression process in gene regulatory networks in the presence of uncertainty.
BMC Bioinform., 2011
Proceedings of the IEEE International Conference on Acoustics, 2011
Proceedings of the IEEE International Conference on Acoustics, 2011
Proceedings of the 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, 2011
Probabilistic consistency transformation for multiple alignment of biological networks.
Proceedings of the 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, 2011
Proceedings of the 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, 2011
Proceedings of the 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, 2011
Designing enhanced classifiers using prior process knowledge: Regularized maximum-likelihood.
Proceedings of the 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, 2011
Session TA8a1: Signal processing methods for representation, analysis, and control of biological systems.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011
2010
Identification of diagnostic subnetwork markers for cancer in human protein-protein interaction network.
BMC Bioinform., 2010
Identifying reliable subnetwork markers in protein-protein interaction network for classification of breast cancer metastasis.
Proceedings of the IEEE International Conference on Acoustics, 2010
Proceedings of the IEEE International Conference on Acoustics, 2010
2009
J. Comput. Biol., 2009
EURASIP J. Bioinform. Syst. Biol., 2009
2008
Structural Alignment of RNAs Using Profile-csHMMs and Its Application to RNA Homology Search: Overview and New Results.
IEEE Trans. Autom. Control., 2008
Fast Structural Alignment of RNAs by Optimizing the Adjoining Order of Profile-csHMMs.
IEEE J. Sel. Top. Signal Process., 2008
Proceedings of the 2008 Data Compression Conference (DCC 2008), 2008
2007
Computational identification and analysis of noncoding RNAs - Unearthing the buried treasures in the genorne.
IEEE Signal Process. Mag., 2007
Fast Search of Sequences with Complex Symbol Correlations using Profile Context-Sensitive HMMS and Pre-Screening Filters.
Proceedings of the IEEE International Conference on Acoustics, 2007
Robust Adaptive Beamforming Algorithm using Instantaneous Direction of Arrival with Enhanced Noise Suppression Capability.
Proceedings of the IEEE International Conference on Acoustics, 2007
2006
Context-Sensitive Hidden Markov Models for Modeling Long-Range Dependencies in Symbol Sequences.
IEEE Trans. Signal Process., 2006
IEEE Signal Process. Lett., 2006
Profile Context-Sensitive HMMs for Probabilistic Modeling of Sequences With Complex Correlations.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
2005
IEEE Trans. Signal Process., 2005
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
2004
J. Frankl. Inst., 2004
Proceedings of the 2004 International Symposium on Circuits and Systems, 2004
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004
2003
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003