Guoqiang Yu

Orcid: 0000-0002-7439-6920

According to our database1, Guoqiang Yu authored at least 67 papers between 2003 and 2024.

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Bibliography

2024
CAM3.0: determining cell type composition and expression from bulk tissues with fully unsupervised deconvolution.
Bioinform., March, 2024

Princut-Auto: An Unsupervised 3D Cell Detection Tool for Embryonic Data.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Joint Thresholding: An Adaptive Thresholding Approach Considering The Consistency of High-Dimensional Fluorescence Imaging Data.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
A Wearable Fiber-Free Optical Sensor for Continuous Monitoring of Cerebral Blood Flow in Freely Behaving Mice.
IEEE Trans. Biomed. Eng., June, 2023

Latent Diffusion Model for Medical Image Standardization and Enhancement.
CoRR, 2023

NIS3D: A Completely Annotated Benchmark for Dense 3D Nuclei Image Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Improving Nighttime Semantic Segmentation with Dual-Domain Mixed Attention and Shallow Feature Enhancement.
Proceedings of the 9th IEEE International Conference on Cloud Computing and Intelligent Systems, 2023

2022
Efficient Global MOT Under Minimum-Cost Circulation Framework.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Cryogenic in-memory computing using tunable chiral edge states.
CoRR, 2022

swCAM: estimation of subtype-specific expressions in individual samples with unsupervised sample-wise deconvolution.
Bioinform., 2022

Implementation of Highly Reliable and Energy-Efficient Nonvolatile In-Memory Computing using Multistate Domain Wall Spin-Orbit Torque Device.
Adv. Intell. Syst., 2022

BILCO: An Efficient Algorithm for Joint Alignment of Time Series.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

An Unsupervised Approach to Detect Microglia Tip in Volumetric Fluorescence Imaging Data.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

A Single-Cell-Resolution Quantitative Metric of Similarity to a Target Cell Type for scRNA-seq Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
ConvexVST: A Convex Optimization Approach to Variance-stabilizing Transformation.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Targeted realignment of LC-MS profiles by neighbor-wise compound-specific graphical time warping with misalignment detection.
Bioinform., 2020

SynQuant: an automatic tool to quantify synapses from microscopy images.
Bioinform., 2020

2019
Noninvasive noncontact speckle contrast diffuse correlation tomography of cerebral blood flow in rats.
NeuroImage, 2019

Efficient Global Multi-object Tracking Under Minimum-cost Circulation Framework.
CoRR, 2019

DBS: a fast and informative segmentation algorithm for DNA copy number analysis.
BMC Bioinform., 2019

muSSP: Efficient Min-cost Flow Algorithm for Multi-object Tracking.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
Noninvasive Noncontact 3D Optical Imaging of Blood Flow Distributions in Animals and Humans.
Proceedings of the 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2018

Detection and tracking of migrating oligodendrocyte progenitor cells from in vivo fluorescence time-lapse imaging data.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Large Room Temperature Charge-to-Spin Conversion Efficiency in Topological Insulator/CoFeB bilayers.
Proceedings of the 76th Device Research Conference, 2018

2017
Noncontact 3-D Speckle Contrast Diffuse Correlation Tomography of Tissue Blood Flow Distribution.
IEEE Trans. Medical Imaging, 2017

Automated Functional Analysis of Astrocytes from Chronic Time-Lapse Calcium Imaging Data.
Frontiers Neuroinformatics, 2017

Incorporating prior biological knowledge for network-based differential gene expression analysis using differentially weighted graphical LASSO.
BMC Bioinform., 2017

Trial measurement of movement-related cortical dynamics using electroencephalography and diffuse correlation spectroscopy.
Proceedings of the 22nd International Conference on Methods and Models in Automation and Robotics, 2017

2016
Integrative Analysis of Proteomic, Glycomic, and Metabolomic Data for Biomarker Discovery.
IEEE J. Biomed. Health Informatics, 2016

Electric-Field Control of Spin-Orbit Interaction for Low-Power Spintronics.
Proc. IEEE, 2016

Biologically inspired survival analysis based on integrating gene expression as mediator with genomic variants.
Comput. Biol. Medicine, 2016

Graphical Time Warping for Joint Alignment of Multiple Curves.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

FASP: A machine learning approach to functional astrocyte phenotyping from time-lapse calcium imaging data.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Metabolomic data deconvolution using probabilistic purification models.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
Integrative analysis of LC-MS based glycomic and proteomic data.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Integrating prior biological knowledge and graphical LASSO for network inference.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

Purification of LC/GC-MS based biomolecular expression profiles using a topic model.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014
Integration of Network Biology and Imaging to Study Cancer Phenotypes and Responses.
IEEE ACM Trans. Comput. Biol. Bioinform., 2014

AISAIC: a software suite for accurate identification of significant aberrations in cancers.
Bioinform., 2014

A feasible roadmap to identifying significant intercellular genomic heterogeneity in deep sequencing data.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

Predicting age at loss of ambulation in Duchenne muscular dystrophy with deep phenotypic measures.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

A statistical approach to identifying significant transgenerational methylation changes.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

Enhancing the convex analysis of mixtures technique for estimating DCE-MRI pharmacokinetic parameters.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

A new approach for multi-omic data integration.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

2013
Simultaneously Extracting Multiple Parameters via Fitting One Single Autocorrelation Function Curve in Diffuse Correlation Spectroscopy.
IEEE Trans. Biomed. Eng., 2013

Reconstructing biological networks using low order partial correlation.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

GPA: An algorithm for LC/MS based glycan profile annotation.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2012
Noninvasive optical evaluation of spontaneous low frequency oscillations in cerebral hemodynamics.
NeuroImage, 2012

Accurate identification of significant aberrations in contaminated cancer genome.
Proceedings of the Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics, 2012

NMF based approach for finding recurrent aberrations in DNA copy number data.
Proceedings of the Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics, 2012

A non-parametric approach for estimating stromal contamination in cancer samples.
Proceedings of the Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics, 2012

2011
Machine Learning to Interrogate High-throughput Genomic Data: Theory and Applications.
PhD thesis, 2011

BACOM: <i>in silico</i> detection of genomic deletion types and correction of normal cell contamination in copy number data.
Bioinform., 2011

PUGSVM: a caBIG<sup>TM</sup> analytical tool for multiclass gene selection and predictive classification.
Bioinform., 2011

2010
Matched Gene Selection and Committee Classifier for Molecular Classification of Heterogeneous Diseases.
J. Mach. Learn. Res., 2010

Analysing DNA copy number changes using Fused Margin Regression.
Int. J. Funct. Informatics Pers. Medicine, 2010

2009
An algorithm for learning maximum entropy probability models of disease risk that efficiently searches and sparingly encodes multilocus genomic interactions.
Bioinform., 2009

Accurate Estimation of Genomic Deletions and Normal Cell Contamination by Bayesian Analysis of Mixtures.
Proceedings of the 2009 IEEE International Conference on Bioinformatics and Biomedicine, 2009

Analyzing DNA Copy Number Changes Using Fused Margin Regression.
Proceedings of the 2009 IEEE International Conference on Bioinformatics and Biomedicine, 2009

2006
A bayesian network approach to traffic flow forecasting.
IEEE Trans. Intell. Transp. Syst., 2006

Metal artifacts reduction in CT images through Euler's elastica and curvature based sinogram inpainting.
Proceedings of the Medical Imaging 2006: Image Processing, 2006

Combining Iterative Inverse Filter with Shock Filter for Baggage Inspection Image Deblurring.
Proceedings of the Computer Vision, 2006

2005
Total Variation Based Iterative Image Reconstruction.
Proceedings of the Computer Vision for Biomedical Image Applications, 2005

2004
Short-Term Traffic Flow Forecasting Using Expanded Bayesian Network for Incomplete Data.
Proceedings of the Advances in Neural Networks, 2004

Switching ARIMA model based forecasting for traffic flow.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Bayesian Network Methods for Traffic Flow Forecasting with Incomplete Data.
Proceedings of the Machine Learning: ECML 2004, 2004

2003
A novel networked traffic parameter forecasting method based on Markov chain model.
Proceedings of the IEEE International Conference on Systems, 2003


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