Yufei Huang

According to our database1, Yufei Huang authored at least 170 papers between 2000 and 2021.

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Bibliography

2021
Reconfigurable Intelligent Surfaces-Assisted Multiuser MIMO Uplink Transmission With Partial CSI.
IEEE Trans. Wirel. Commun., 2021

On approximation algorithm for the edge metric dimension problem.
Theor. Comput. Sci., 2021

Energy Efficiency Optimization for Multi-Cell Massive MIMO: Centralized and Distributed Power Allocation Algorithms.
IEEE Trans. Commun., 2021

CancerSiamese: one-shot learning for predicting primary and metastatic tumor types unseen during model training.
BMC Bioinform., 2021

The expected values and variances for Sombor indices in a general random chain.
Appl. Math. Comput., 2021

TR-BERT: Dynamic Token Reduction for Accelerating BERT Inference.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Intelligent Work: Person Centered Operations, Worker Wellness and the Triple Bottom Line.
Proceedings of the HCI International 2021 - Posters - 23rd HCI International Conference, 2021

Addressing Human Factors and Ethics in the Design of 'Future Work' and Intelligent Systems for Use in Financial Services - Person Centered Operations, Intelligent Work & the Triple Bottom Line.
Proceedings of the Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Human Body, Motion and Behavior, 2021

Access Control Policy Generation from User Stories Using Machine Learning.
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
Coupling Coordination Relationship between Urban Sprawl and Urbanization Quality in the West Taiwan Strait Urban Agglomeration, China: Observation and Analysis from DMSP/OLS Nighttime Light Imagery and Panel Data.
Remote. Sens., 2020

A characterization of graphs with supereulerian line graphs.
Int. J. Comput. Math. Comput. Syst. Theory, 2020

Combining guaranteed and spot markets in display advertising: Selling guaranteed page views with stochastic demand.
Eur. J. Oper. Res., 2020

Energy Efficiency and Spectral Efficiency Tradeoff in Massive MIMO Multicast Transmission with Statistical CSI.
Entropy, 2020

Energy Efficiency Optimization in Massive MIMO Secure Multicast Transmission.
Entropy, 2020

The maximum α-spectral radius and the majorization theorem of k-uniform supertrees.
Discret. Appl. Math., 2020

Deep learning of pharmacogenomics resources: moving towards precision oncology.
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

Max-Min Energy-Efficient Multi-Cell Massive MIMO Transmission Exploiting Statistical CSI.
Proceedings of the 9th IEEE/CIC International Conference on Communications in China, 2020

Reconfigurable Intelligent Surfaces Assisted MIMO-MAC with Partial CSI.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

2019
Global analysis of N6-methyladenosine functions and its disease association using deep learning and network-based methods.
PLoS Comput. Biol., 2019

Feature Selection of Deep Learning Models for EEG-Based RSVP Target Detection.
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

Target Classification in a Novel SSVEP-RSVP Based BCI Gaming System.
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

Design of Spaceborne AIS System.
Proceedings of the Wireless and Satellite Systems, 2019

Research on Image Static Target Recognition and Extraction Based on Space Intelligent System.
Proceedings of the Wireless and Satellite Systems, 2019

The Satellite GPS Antenna In-Orbit Phase Center Calibration Method.
Proceedings of the Communications, Signal Processing, and Systems, 2019

High Precision Spatiotemporal Datum Design Based on Ground Observation Position.
Proceedings of the Communications, Signal Processing, and Systems, 2019

Improving Web Image Search with Contextual Information.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Charactering hESCs Organoids from Electrical Signals with Machine Learning.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

2018
Time Allocation in Entrepreneurial Selling: Impact of Consumer Peer Learning and Incumbent Reaction.
IEEE Trans. Engineering Management, 2018

MeTDiff: A Novel Differential RNA Methylation Analysis for MeRIP-Seq Data.
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

Deep-2'-O-Me: Predicting 2'-O-methylation sites by Convolutional Neural Networks.
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

A Machine Learning Approach for Uncovering N6-methyladenosine-Disease Association.
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

Malware Detection in Cloud Infrastructures Using Convolutional Neural Networks.
Proceedings of the 11th IEEE International Conference on Cloud Computing, 2018

2017
Cancer Progression Prediction Using Gene Interaction Regularized Elastic Net.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017

Posted price programmatic guarantee in display advertising.
CoRR, 2017

QNB: differential RNA methylation analysis for count-based small-sample sequencing data with a quad-negative binomial model.
BMC Bioinform., 2017

Driver's fatigue prediction by deep covariance learning from EEG.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

EEG-based biometric identification with deep learning.
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

Predicting EEG Sample Size Required for Classification Calibration.
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
MeT-DB: a database of transcriptome methylation in mammalian cells.
Nucleic Acids Res., 2015

The partition theorem of connected digraphs and its enumerative applications.
Ars Comb., 2015

Noncrossing partitions with fixed points having specific properties.
Ars Comb., 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

Prediction of driver's drowsy and alert states from EEG signals with deep learning.
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

Classification of Imperfectly Time-Locked Image RSVP Events with EEG Device.
Neuroinformatics, 2014

BIMMER: a novel algorithm for detecting differential DNA methylation regions from MBDCap-seq data.
BMC Bioinform., 2014

Differential analysis of RNA methylome with improved spatial resolution.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

Detecting differentially methylated mRNA from MeRIP-Seq with likelihood ratio test.
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

Exome-based analysis for RNA epigenome sequencing data.
Bioinform., 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

A bag-of-words model for task-load prediction from EEG in complex environments.
Proceedings of the IEEE International Conference on Acoustics, 2013

Differential analysis of rna methylation sequencing data.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

A Deep Learning method for classification of images RSVP events with EEG data.
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

An HMM-based Exome Peak-finding package for RNA epigenome sequencing data.
Proceedings of the 2013 IEEE International Workshop on Genomic Signal Processing and Statistics, 2013

Bayesian sparse factor model for transcriptional regulatory networks inference.
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

Unveiling the dynamics in RNA epigenetic regulations.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

BIMMER: A Bi-layer hidden Markov model for differential methylation analysis.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2012
Understanding MicroRNA Regulation: A computational perspective.
IEEE Signal Process. Mag., 2012

On a conjecture for the sum of Laplacian eigenvalues.
Math. Comput. Model., 2012

Determining the number of new employees with learning, forgetting and variable wage with a Newsvendor model in pull systems.
J. Intell. Manuf., 2012

Temporal clustering of gene expression patterns using short-time segments.
Int. J. Funct. Informatics Pers. Medicine, 2012

The Generalized τ-Bases of Primitive Non-Powerful Signed Digraphs with d Loops.
Graphs Comb., 2012

Iterative decoding in Factor Graph representation using Particle Filtering.
Digit. Signal Process., 2012

Advances in systems biology: computational algorithms and applications.
BMC Syst. Biol., 2012

The maximum Wiener polarity index of unicyclic graphs.
Appl. Math. Comput., 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

Classification of EEG recordings without perfectly time-locked events.
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

A new algorithm for predicting competing endogenous rnas.
Proceedings of the Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics, 2012

2011
On the identities of modulo-p partitions.
Math. Comput. Model., 2011

The signless Laplacian spectral radius of bicyclic graphs with prescribed degree sequences.
Discret. Math., 2011

Bayesian parameter estimation for nonlinear modelling of biological pathways.
BMC Syst. Biol., 2011

<i>PlantMiRNAPred</i>: efficient classification of real and pseudo plant pre-miRNAs.
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

Clustering DNA methylation expressions using nonparametric beta mixture model.
Proceedings of the 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, 2011

Computational prediction of microRNA regulatory pathways.
Proceedings of the 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, 2011

Beyond seed match: Improving miRNA target prediction using PAR-CLIP data.
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

Gene sets enrichment analysis of miRNA expression profile.
Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011

2010
Bayesian peptide peak detection for high resolution TOF mass spectrometry.
IEEE Trans. Signal Process., 2010

The index of maximum ambiguous density for irreducible non-powerful sign pattern matrices.
Eur. J. Comb., 2010

Uncovering Transcriptional Regulatory Networks by Sparse Bayesian Factor Model.
EURASIP J. Adv. Signal Process., 2010

On the Wiener polarity index of trees with maximum degree or given number of leaves.
Comput. Math. Appl., 2010

The scrambling index of primitive digraphs.
Comput. Math. Appl., 2010

On a conjecture about the kth lower multiexponent.
Comput. Math. Appl., 2010

Improving performance of mammalian microRNA target prediction.
BMC Bioinform., 2010

miRNA Target Prediction Method Based on the Combination of Multiple Algorithms.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2010

SysMicrO: A Novel Systems Approach for miRNA Target Prediction.
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

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

A Bayesian decision fusion approach for microRNA target prediction.
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
Adaptive Sensor Fault Detection and Identification Using Particle Filter Algorithms.
IEEE Trans. Syst. Man Cybern. Part C, 2009

Reverse engineering gene regulatory networks.
IEEE Signal Process. Mag., 2009

Applications of Signal Processing Techniques to Bioinformatics, Genomics, and Proteomics.
EURASIP J. Bioinform. Syst. Biol., 2009

Clustering of Gene Expression Data Based on Shape Similarity.
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

Mapping miRNA Regulation to Functional Gene Sets.
Proceedings of the International Joint Conferences on Bioinformatics, 2009

A comprehensive study of a SVM-based miRNA target prediction algorithm.
Proceedings of the 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, 2009

2008
Constructing Gene Networks Using Variational Bayesian Variable Selection.
Artif. Life, 2008

Bayesian peak detection for Pro-TOF MS MALDI data.
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
Particle Filtering for Adaptive Sensor Fault Detection and Identification.
Proceedings of the 2006 IEEE International Conference on Robotics and Automation, 2006

Reverse Engineering Yeast Gene Regulatory Networks using Graphical Models.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005
Bayesian detection for BLAST.
IEEE Trans. Signal Process., 2005

Adaptive Blind Multiuser Detection over Flat Fast Fading Channels Using Particle Filtering.
EURASIP J. Wirel. Commun. Netw., 2005

Remaining engine life estimation for a sensor-based aircraft engine.
Proceedings of the IEEE International Conference on Systems, 2005

Symbol detection with time-varying unknown phase by expectation propagation.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Belief-directed sequential probabilistic data association multiuser detector.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Sensor validation for flight control by particle filtering.
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

A hybrid importance function for particle filtering.
IEEE Signal Process. Lett., 2004

A generalized probabilistic data association multiuser detector.
Proceedings of the 2004 IEEE International Symposium on Information Theory, 2004

Joint symbol detection and timing estimation with stochastic M-algorithm.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Turbo equalization using probabilistic data association.
Proceedings of the Global Telecommunications Conference, 2004. GLOBECOM '04, Dallas, Texas, USA, 29 November, 2004

2003
Particle filtering.
IEEE Signal Process. Mag., 2003

Detection with particle filtering in BLAST systems.
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

Perfect sampling: a review and applications to signal processing.
IEEE Trans. Signal Process., 2002

Variable Selection by Perfect Sampling.
EURASIP J. Adv. 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

Multiuser detection with particle filtering.
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

Applications of particle filtering to communications: A review.
Proceedings of the 11th European Signal Processing Conference, 2002

2001
Multiuser detection of synchronous CDMA signals by the Gibbs coupler.
Proceedings of the IEEE International Conference on Acoustics, 2001

2000
Estimation of a Bernoulli parameter p from imperfect trials.
IEEE Signal Process. Lett., 2000

Bayesian detection of transient signals in colored noise.
Proceedings of the IEEE International Conference on Acoustics, 2000

Choosing priors for an important class of signal processing problems.
Proceedings of the 10th European Signal Processing Conference, 2000


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