Xiaoning Qian

According to our database1, Xiaoning Qian authored at least 139 papers between 2002 and 2020.

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Bibliography

2020
Model-Based Robust Filtering and Experimental Design for Stochastic Differential Equation Systems.
IEEE Trans. Signal Process., 2020

Deep Co-Saliency Detection via Stacked Autoencoder-Enabled Fusion and Self-Trained CNNs.
IEEE Trans. Multim., 2020

Pessimistic optimisation for modelling microbial communities with uncertainty.
Int. J. Comput. Biol. Drug Des., 2020

Quantifying the multi-objective cost of uncertainty.
CoRR, 2020

Pairwise Supervised Hashing with Bernoulli Variational Auto-Encoder and Self-Control Gradient Estimator.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

BayReL: Bayesian Relational Learning for Multi-omics Data Integration.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Bayesian Graph Neural Networks with Adaptive Connection Sampling.
Proceedings of the 37th International Conference on Machine Learning, 2020

NADS: Neural Architecture Distribution Search for Uncertainty Awareness.
Proceedings of the 37th International Conference on Machine Learning, 2020

Semi-Implicit Stochastic Recurrent Neural Networks.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Arsm Gradient Estimator for Supervised Learning to Rank.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Neural Network Quantization with Scale-Adjusted Training.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Learnable Bernoulli Dropout for Bayesian Deep Learning.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Image Co-Saliency Detection and Co-Segmentation via Progressive Joint Optimization.
IEEE Trans. Image Process., 2019

Constructing Pathway-Based Priors within a Gaussian Mixture Model for Bayesian Regression and Classification.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019

Dynamic Inspection of Latent Variables in State-Space Systems.
IEEE Trans Autom. Sci. Eng., 2019

Early detection and risk assessment for chronic disease with irregular longitudinal data analysis.
J. Biomed. Informatics, 2019

Selected research articles from the 2018 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC).
BMC Bioinform., 2019

Optimal clustering with missing values.
BMC Bioinform., 2019

Bayesian negative binomial regression for differential expression with confounding factors.
Bioinform., 2019

RNAdetect: efficient computational detection of novel non-coding RNAs.
Bioinform., 2019

TOPAS: network-based structural alignment of RNA sequences.
Bioinform., 2019

Experimental Design via Generalized Mean Objective Cost of Uncertainty.
IEEE Access, 2019

Semi-Implicit Graph Variational Auto-Encoders.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Variational Graph Recurrent Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Cone-Beam Computed Tomography (CBCT) Segmentation by Adversarial Learning Domain Adaptation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Optimal Bayesian Transfer Learning.
IEEE Trans. Signal Process., 2018

Optimal Bayesian Kalman Filtering With Prior Update.
IEEE Trans. Signal Process., 2018

Optimal Bayesian Classification With Missing Values.
IEEE Trans. Signal Process., 2018

A Collaborative Learning Framework for Estimating Many Individualized Regression Models in a Heterogeneous Population.
IEEE Trans. Reliab., 2018

Optimal Bayesian Transfer Regression.
IEEE Signal Process. Lett., 2018

Intrinsically Bayesian robust Karhunen-Loève compression.
Signal Process., 2018

Convex clustering with metric learning.
Pattern Recognit., 2018

Safe Feature Screening for Generalized LASSO.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Switching-State Dynamical Modeling of Daily Behavioral Data.
J. Heal. Informatics Res., 2018

A Bayesian robust Kalman smoothing framework for state-space models with uncertain noise statistics.
EURASIP J. Adv. Signal Process., 2018

Fast Exact Computation of Expected HyperVolume Improvement.
CoRR, 2018

Safe Active Feature Selection for Sparse Learning.
CoRR, 2018

Selected research articles from the 2017 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC).
BMC Bioinform., 2018

Covariate-dependent negative binomial factor analysis of RNA sequencing data.
Bioinform., 2018

Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Recursive Structure Similarity: A Novel Algorithm for Graph Clustering.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

Unsupervised CNN-Based Co-saliency Detection with Graphical Optimization.
Proceedings of the Computer Vision - ECCV 2018, 2018

Scalable Optimal Bayesian Classification of Single-Cell Trajectories under Regulatory Model Uncertainty.
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

Robust Smoothing for State-Space Models with Unknown Noise Statistics.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017
Detection of Cooperative Interactions in Logistic Regression Models.
IEEE Trans. Signal Process., 2017

Detecting Pairwise Interactive Effects of Continuous Random Variables for Biomarker Identification with Small Sample Size.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017

Prognostics of surgical site infections using dynamic health data.
J. Biomed. Informatics, 2017

CHI: A contemporaneous health index for degenerative disease monitoring using longitudinal measurements.
J. Biomed. Informatics, 2017

Optimal experimental design in the context of canonical expansions.
IET Signal Process., 2017

Optimal hybrid sequencing and assembly: Feasibility conditions for accurate genome reconstruction and cost minimization strategy.
Comput. Biol. Chem., 2017

Finding low-conductance sets with dense interactions (FLCD) for better protein complex prediction.
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

Incorporating biological prior knowledge for Bayesian learning via maximal knowledge-driven information priors.
BMC Bioinform., 2017

Segmentation guided local proposal fusion for co-saliency detection.
Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

Noise-tolerant deep learning for histopathological image segmentation.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Image co-saliency detection via locally adaptive saliency map fusion.
Proceedings of the 2017 IEEE International Conference on Acoustics, 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

Feature Selection with Interactions in Logistic Regression Models using Multivariate Synergies for a GWAS Application.
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

An objective-based experimental design framework for signal processing in the context of canonical expansions.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

Bayesian Kalman filtering in the presence of unknown noise statistics using factor graphs.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016
Bayesian Regression With Network Prior: Optimal Bayesian Filtering Perspective.
IEEE Trans. Signal Process., 2016

Sparse exponential family Principal Component Analysis.
Pattern Recognit., 2016

Stochastic block coordinate Frank-Wolfe algorithm for large-scale biological network alignment.
EURASIP J. Bioinform. Syst. Biol., 2016

Bayesian module identification from multiple noisy networks.
EURASIP J. Bioinform. Syst. Biol., 2016

Effective comparative analysis of protein-protein interaction networks by measuring the steady-state network flow using a Markov model.
BMC Bioinform., 2016

Co-segmentation of multiple images through random walk on graphs.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Pairwise interaction analysis of logistic regression models.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Optimal experimental design in canonical expansions with applications to signal compression.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

A reliable alternative of OptKnock for desirable mutant microbial strains.
Proceedings of the 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2016

Inference of gene regulatory networks: validation and uncertainty.
Proceedings of the Big Data over Networks, 2016

2015
Efficient Vessel Feature Detection for Endoscopic Image Analysis.
IEEE Trans. Biomed. Eng., 2015

Tumor stratification by a novel graph-regularized bi-clique finding algorithm.
Comput. Biol. Chem., 2015

Domain-Knowledge Driven Cognitive Degradation Modeling for Alzheimer's Disease.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

A computational framework for finding functional modules across multiple biological networks.
Proceedings of the 6th ACM Conference on Bioinformatics, 2015

A computationally efficient solution strategy for optimal gene knockouts for targeted overproduction.
Proceedings of the 6th ACM Conference on Bioinformatics, 2015

A Scalable Algorithm for Structured Kernel Feature Selection.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014
Network-Based Methods to Identify Highly Discriminating Subsets of Biomarkers.
IEEE ACM Trans. Comput. Biol. Bioinform., 2014

Logistic Principal Component Analysis for Rare Variants in Gene-Environment Interaction Analysis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2014

Selected Articles from the 2012 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS 2012).
IEEE ACM Trans. Comput. Biol. Bioinform., 2014

Joint clustering of protein interaction networks through Markov random walk.
BMC Syst. Biol., 2014

Supervised categorical principal component analysis for genome-wide association analyses.
BMC Genom., 2014

Functional module identification in protein interaction networks by interaction patterns.
Bioinform., 2014

Vesselness based feature extraction for endoscopic image analysis.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Joint clustering of protein interaction networks by block modeling.
Proceedings of the IEEE International Conference on Acoustics, 2014

Structured sparse PCA to identify miRNA co-regulatory modules.
Proceedings of the IEEE International Conference on Acoustics, 2014

Stochastic coordinate descent Frank-Wolfe algorithm for large-scale biological network alignment.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

Biological network clustering by robust NMF.
Proceedings of the 5th ACM Conference on Bioinformatics, 2014

Network-regularized bi-clique finding for tumor stratification.
Proceedings of the 5th ACM Conference on Bioinformatics, 2014

2013
Quantifying the Objective Cost of Uncertainty in Complex Dynamical Systems.
IEEE Trans. Signal Process., 2013

Dense Surface Reconstruction With Shadows in MIS.
IEEE Trans. Biomed. Eng., 2013

Feature ranking based on synergy networks to identify prognostic markers in DPT-1.
EURASIP J. Bioinform. Syst. Biol., 2013

A novel subgradient-based optimization algorithm for blockmodel functional module identification.
BMC Bioinform., 2013

Adaptive bi-level programming for optimal gene knockouts for targeted overproduction under phenotypic constraints.
BMC Bioinform., 2013

Thin plate spline feature point matching for organ surfaces in minimally invasive surgery imaging.
Proceedings of the Medical Imaging 2013: Image-Guided Procedures, 2013

Simultaneous Tracking, 3D Reconstruction and Deforming Point Detection for Stereoscope Guided Surgery.
Proceedings of the Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions, 2013

Functional analysis of grasping motion.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

Identifying overlapping functional modules in biological networks by Markov random walk.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Phenotypically constrained Boolean network inference with prescribed steady states.
Proceedings of the 2013 IEEE International Workshop on Genomic Signal Processing and Statistics, 2013

Blockmodel module identification in protein interaction networks through Markov random walk.
Proceedings of the 21st European Signal Processing Conference, 2013

2012
Intervention in Gene Regulatory Networks via Phenotypically Constrained Control Policies Based on Long-Run Behavior.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012

Comparative Analysis of Biological Networks: Hidden Markov model and Markov chain-based approach.
IEEE Signal Process. Mag., 2012

How Influential Are You: Detecting Influential Bloggers in a Blogging Community.
Proceedings of the Social Informatics, 2012

Structural intervention of gene regulatory networks by general rank-k matrix perturbation.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Network-based methods to identify highly discriminating subsets of biomarkers.
Proceedings of the Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics, 2012

A new phenotypically constrained control policy in boolean networks based on basins of attraction.
Proceedings of the Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics, 2012

Functional module identification by block modeling using simulated annealing with path relinking.
Proceedings of the ACM International Conference on Bioinformatics, 2012

Supervised logistic principal component analysis for pathway based genome-wide association studies.
Proceedings of the ACM International Conference on Bioinformatics, 2012

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

A CoD-based stationary control policy for intervening in large gene regulatory networks.
BMC Bioinform., 2011

Contour-based hidden Markov model to segment 2D ultrasound images.
Proceedings of the IEEE International Conference on Acoustics, 2011

Uncertainty-based essentiality in gene regulatory networks.
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
Selection policy-induced reduction mappings for Boolean networks.
IEEE Trans. Signal Process., 2010

Optimal embedding for shape indexing in medical image databases.
Medical Image Anal., 2010

Stationary and structural control in gene regulatory networks: basic concepts.
Int. J. Syst. Sci., 2010

Adapting indexing trees to data distribution in feature spaces.
Comput. Vis. Image Underst., 2010

State reduction for network intervention in probabilistic Boolean networks.
Bioinform., 2010

A CoD-based reduction algorithm for designing stationary control policies on Boolean networks.
Bioinform., 2010

Serial nonrigid vascular registration using weighted normalized mutual information.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Shape matching based on graph alignment using hidden Markov models.
Proceedings of the IEEE International Conference on Acoustics, 2010

A comparative study on sensitivities of Boolean networks.
Proceedings of the 2010 IEEE International Workshop on Genomic Signal Processing and Statistics, 2010

2009
A non-parametric vessel detection method for complex vascular structures.
Medical Image Anal., 2009

Querying Pathways in Protein Interaction Networks Based on Hidden Markov Models.
J. Comput. Biol., 2009

Intervention in gene regulatory networks via greedy control policies based on long-run behavior.
BMC Syst. Biol., 2009

Control-compatible state reduction for Boolean networks.
Proceedings of the 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, 2009

2008
Effective visualization of complex vascular structures using a non-parametric vessel detection method.
IEEE Trans. Vis. Comput. Graph., 2008

Effect of Function Perturbation on the Steady-State Distribution of Genetic Regulatory Networks: Optimal Structural Intervention.
IEEE Trans. Signal Process., 2008

2007
Detection of Complex Vascular Structures using Polar Neighborhood Intensity Profile.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

2006
Overcoming dropout while segmenting cardiac ultrasound images.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

Segmentation of Rat Cardiac Ultrasound Images with Large Dropout Regions.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006

2005
Optimal Embedding for Shape Indexing in Medical Image Databases.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005

2004
Shape based retrieval in NHANES II.
Proceedings of the 12th ACM International Conference on Multimedia, 2004

2002
Optimally adapted indexing trees for medical image databases.
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002


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