Yufei Huang
Orcid: 0000-0001-6268-5357Affiliations:
- University of Pittsburgh, School of Medicine, PA, USA
- University of Texas at San Antonio, Health Science Center, Department of Epidemiology and Biostatistics, TX, USA (former)
- State University of New York at Stony Brook, NY, USA (PhD 2001)
According to our database1,
Yufei Huang
authored at least 145 papers
between 2000 and 2024.
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Bibliography
2024
shinyDeepDR: A user-friendly R Shiny app for predicting anti-cancer drug response using deep learning.
Patterns, 2024
Briefings Bioinform., 2024
2023
Fair patient model: Mitigating bias in the patient representation learned from the electronic health records.
J. Biomed. Informatics, December, 2023
CoRR, 2023
2022
On the role of deep learning model complexity in adversarial robustness for medical images.
BMC Medical Informatics Decis. Mak., 2022
Deep learning tackles single-cell analysis - a survey of deep learning for scRNA-seq analysis.
Briefings Bioinform., 2022
Proceedings of the Computer Security - ESORICS 2022, 2022
Proceedings of the CODASPY '22: Twelveth ACM Conference on Data and Application Security and Privacy, Baltimore, MD, USA, April 24, 2022
2021
CancerSiamese: one-shot learning for predicting primary and metastatic tumor types unseen during model training.
BMC Bioinform., 2021
Proceedings of the Data and Applications Security and Privacy XXXV, 2021
Interpretable Self-Supervised Facial Micro-Expression Learning to Predict Cognitive State and Neurological Disorders.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Briefings Bioinform., 2020
Automatic Detection and Prediction of Cybersickness Severity using Deep Neural Networks from user's Physiological Signals.
Proceedings of the 2020 IEEE International Symposium on Mixed and Augmented Reality, 2020
2019
Global analysis of N6-methyladenosine functions and its disease association using deep learning and network-based methods.
PLoS Comput. Biol., 2019
IEICE Trans. Inf. Syst., 2019
Modeling EEG data distribution with a Wasserstein Generative Adversarial Network to predict RSVP Events.
CoRR, 2019
Convolutional neural network models for cancer type prediction based on gene expression.
CoRR, 2019
FunDMDeep-m6A: identification and prioritization of functional differential m6A methylation genes.
Bioinform., 2019
Generating EEG signals of an RSVP Experiment by a Class Conditioned Wasserstein Generative Adversarial Network.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
A Semi-Supervised Wasserstein Generative Adversarial Network for Classifying Driving Fatigue from EEG signals.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
Predicting Auditory Spatial Attention from EEG using Single- and Multi-task Convolutional Neural Networks.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019
2018
IEEE ACM Trans. Comput. Biol. Bioinform., 2018
MeT-DB V2.0: elucidating context-specific functions of N6-methyl-adenosine methyltranscriptome.
Nucleic Acids Res., 2018
Deep Learning Models for EEG-based Rapid Serial Visual Presentation Event Classification.
J. Inf. Hiding Multim. Signal Process., 2018
GSAE: an autoencoder with embedded gene-set nodes for genomics functional characterization.
CoRR, 2018
Predicting drug response of tumors from integrated genomic profiles by deep neural networks.
CoRR, 2018
A Bayesian framework for the inference of gene regulatory networks from time and pseudo-time series data.
Bioinform., 2018
Base-pair resolution detection of transcription factor binding site by deep deconvolutional network.
Bioinform., 2018
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
CLIPSeed: Achieving High Precision miRNA Binding Sites Prediction using PAR-CLIP Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Generating target/non-target images of an RSVP experiment from brain signals in by conditional generative adversarial network.
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018
A hierarchical LSTM model with attention for modeling EEG non-stationarity for human decision prediction.
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018
Deep EEG super-resolution: Upsampling EEG spatial resolution with Generative Adversarial Networks.
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018
Proceedings of the 11th IEEE International Conference on Cloud Computing, 2018
2017
IEEE ACM Trans. Comput. Biol. Bioinform., 2017
QNB: differential RNA methylation analysis for count-based small-sample sequencing data with a quad-negative binomial model.
BMC Bioinform., 2017
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017
Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017
Deep Transfer Learning for Cross-subject and Cross-experiment Prediction of Image Rapid Serial Visual Presentation Events from EEG Data.
Proceedings of the Augmented Cognition. Neurocognition and Machine Learning, 2017
Prediction of temperature induced office worker's performance during typing task using EEG.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
Design of deep convolutional networks for prediction of image rapid serial visual presentation events.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
Prediction of fatigue-related driver performance from EEG data by deep Riemannian model.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
A deep learning model for predicting transcription factor binding location at single nucleotide resolution.
Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017
2016
EEG-based prediction of driver's cognitive performance by deep convolutional neural network.
Signal Process. Image Commun., 2016
m6A-Driver: Identifying Context-Specific mRNA m6A Methylation-Driven Gene Interaction Networks.
PLoS Comput. Biol., 2016
Advancing Systems Biology in the International Conference on Intelligent Biology and Medicine (ICIBM) 2015.
BMC Syst. Biol., 2016
A novel algorithm for calling mRNA m<sup>6</sup>A peaks by modeling biological variances in MeRIP-seq data.
Bioinform., 2016
Proceedings of the Foundations of Augmented Cognition: Neuroergonomics and Operational Neuroscience, 2016
Detection of control or idle state with a likelihood ratio test in asynchronous SSVEP-based brain-computer interface systems.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
2015
Nucleic Acids Res., 2015
Feature extraction with deep belief networks for driver's cognitive states prediction from EEG data.
Proceedings of the IEEE China Summit and International Conference on Signal and Information Processing, 2015
Modeling of replicates variances for detecting RNA methylation site in MERIP-SEQ data.
Proceedings of the IEEE China Summit and International Conference on Signal and Information Processing, 2015
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015
Sketching the distribution of transcriptomic features on RNA transcripts with Travis coordinates.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015
2014
Selected Articles from the 2012 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS 2012).
IEEE ACM Trans. Comput. Biol. Bioinform., 2014
Neuroinformatics, 2014
BIMMER: a novel algorithm for detecting differential DNA methylation regions from MBDCap-seq data.
BMC Bioinform., 2014
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014
Classification of non-time-locked rapid serial visual presentation events for brain-computer interaction using deep learning.
Proceedings of the IEEE China Summit & International Conference on Signal and Information Processing, 2014
2013
BRCA-Monet: a breast cancer specific drug treatment mode-of-action network for treatment effective prediction using large scale microarray database.
BMC Syst. Biol., 2013
Computational and Statistical Approaches for Modeling of Proteomic and Genomic Networks.
Adv. Bioinformatics, 2013
Gene Regulation, Modulation, and Their Applications in Gene Expression Data Analysis.
Adv. Bioinformatics, 2013
A system based approach to construct a Kaposi sarcoma-associated herpesvirus (KSHV) specific pathway crosstalk network.
Proceedings of the 8th International Conference on System of Systems Engineering, 2013
Proceedings of the IEEE International Conference on Acoustics, 2013
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013
NetceRNA: An algorithm for construction of phenotype-specific regulation networks via competing endogenous RNAs.
Proceedings of the 2013 IEEE International Workshop on Genomic Signal Processing and Statistics, 2013
Proceedings of the 2013 IEEE International Workshop on Genomic Signal Processing and Statistics, 2013
Proceedings of the 21st European Signal Processing Conference, 2013
Integration of gene expression, genome wide DNA methylation, and gene networks for clinical outcome prediction in ovarian cancer.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013
2012
IEEE Signal Process. Mag., 2012
Int. J. Funct. Informatics Pers. Medicine, 2012
Digit. Signal Process., 2012
BMC Syst. Biol., 2012
Basis-expansion factor models for uncovering transcription factor regulatory network.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012
Exploiting correlated discriminant features in time frequency and space for characterization and robust classification of image RSVP events with EEG data.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012
An investigation of clinical outcome prediction from integrative genomic profiles in ovarian cancer.
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
BMC Syst. Biol., 2011
Bioinform., 2011
Uncover cooperative gene regulations by microRNAs and transcription factors in glioblastoma using a nonnegative hybrid factor model.
Proceedings of the IEEE International Conference on Acoustics, 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
Comprehensive investigation of connectivity map data-towards a drug mode of action network for personalized thnerapy.
Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011
Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011
2010
IEEE Trans. Signal Process., 2010
EURASIP J. Adv. Signal Process., 2010
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2010
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2010
An iterated conditional mode solution for Bayesian factor modeling of transcriptional regulatory networks.
Proceedings of the 2010 IEEE International Workshop on Genomic Signal Processing and Statistics, 2010
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2010
An Iterated Conditional Modes solution for sparse Bayesian factor modeling of transcriptional regulatory networks.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2010
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology, 2010
Constructing a compound mode-of-action network for personalized drug effectiveness prediction.
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology, 2010
2009
IEEE Trans. Syst. Man Cybern. Part C, 2009
Applications of Signal Processing Techniques to Bioinformatics, Genomics, and Proteomics.
EURASIP J. Bioinform. Syst. Biol., 2009
EURASIP J. Bioinform. Syst. Biol., 2009
Enrichment constrained time-dependent clustering analysis for finding meaningful temporal transcription modules.
Bioinform., 2009
A Bayesian Approach for Identifying miRNA Targets by Combining Sequence Prediction and Expression Profiling.
Proceedings of the International Joint Conferences on Bioinformatics, 2009
Proceedings of the International Joint Conferences on Bioinformatics, 2009
Proceedings of the 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, 2009
2008
Artif. Life, 2008
Proceedings of the IEEE International Conference on Acoustics, 2008
2007
Bayesian Inference of Genetic Regulatory Networks from Time Series Microarray Data Using Dynamic Bayesian Networks.
J. Multim., 2007
Uncovering Gene Regulatory Networks from Time-Series Microarray Data with Variational Bayesian Structural Expectation Maximization.
EURASIP J. Bioinform. Syst. Biol., 2007
Clustering Of Gene Expression Data Based On Shape Similarity.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2007
2006
Proceedings of the 2006 IEEE International Conference on Robotics and Automation, 2006
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
2005
Adaptive Blind Multiuser Detection over Flat Fast Fading Channels Using Particle Filtering.
EURASIP J. Wirel. Commun. Netw., 2005
Proceedings of the IEEE International Conference on Systems, 2005
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
Proceedings of the 13th European Signal Processing Conference, 2005
2004
A blind particle filtering detector of signals transmitted over flat fading channels.
IEEE Trans. Signal Process., 2004
IEEE Signal Process. Lett., 2004
Proceedings of the 2004 IEEE International Symposium on Information Theory, 2004
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004
Proceedings of the Global Telecommunications Conference, 2004. GLOBECOM '04, Dallas, Texas, USA, 29 November, 2004
2003
Proceedings of IEEE International Conference on Communications, 2003
Lower bounds on the variance of deterministic signal parameter estimators using Bayesian inference.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003
Joint velocity estimation and symbol detection in non-stationary fading channels by particle filtering.
Proceedings of the Global Telecommunications Conference, 2003
2002
Multiuser detection of synchronous code-division multiple-access signals by perfect sampling.
IEEE Trans. Signal Process., 2002
IEEE Trans. Signal Process., 2002
A new importance function for particle filtering and its application to blind detection in flat fading channels.
Proceedings of the IEEE International Conference on Acoustics, 2002
Proceedings of the 11th European Signal Processing Conference, 2002
A blind particle filtering detector for joint channel estimation, tracking and data detection over flat fading channels.
Proceedings of the 11th European Signal Processing Conference, 2002
Proceedings of the 11th European Signal Processing Conference, 2002
2001
Proceedings of the IEEE International Conference on Acoustics, 2001
2000
IEEE Signal Process. Lett., 2000
Proceedings of the IEEE International Conference on Acoustics, 2000
Proceedings of the 10th European Signal Processing Conference, 2000