Xiaoning Qian
Orcid: 0000-0002-4347-2476
According to our database1,
Xiaoning Qian
authored at least 181 papers
between 2002 and 2024.
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Bibliography
2024
Bayesian Proper Orthogonal Decomposition for Learnable Reduced-Order Models With Uncertainty Quantification.
IEEE Trans. Artif. Intell., March, 2024
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
Learning Active Subspaces for Effective and Scalable Uncertainty Quantification in Deep Neural Networks.
CoRR, 2023
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Machine Learning, 2023
Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction.
Proceedings of the International Conference on Machine Learning, 2023
Enhancing Cryo-EM Particle Picking Through Consistency Model-based Latent Space Denoiser.
Proceedings of the 14th ACM International Conference on Bioinformatics, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
Robust importance sampling for error estimation in the context of optimal Bayesian transfer learning.
Patterns, 2022
Deep graph representations embed network information for robust disease marker identification.
Bioinform., 2022
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022
Proceedings of the Machine Learning for Healthcare Conference, 2022
VariGrow: Variational Architecture Growing for Task-Agnostic Continual Learning based on Bayesian Novelty.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Dynimp: Dynamic Imputation for Wearable Sensing Data through Sensory and Temporal Relatedness.
Proceedings of the IEEE International Conference on Acoustics, 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
VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Penalized Cox's proportional hazards model for high-dimensional survival data with grouped predictors.
Stat. Comput., 2021
Risk Factor Identification in Heterogeneous Disease Progression with L1-Regularized Multi-state Models.
J. Heal. Informatics Res., 2021
COVID-Datathon: Biomarker identification for COVID-19 severity based on BALF scRNA-seq data.
CoRR, 2021
Bioinform., 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 9th International Conference on Learning Representations, 2021
Sparse Gated Mixture-of-Experts to Separate and Interpret Patient Heterogeneity in EHR data.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 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
Deep Co-Saliency Detection via Stacked Autoencoder-Enabled Fusion and Self-Trained CNNs.
IEEE Trans. Multim., 2020
Int. J. Comput. Biol. Drug Des., 2020
ClusterM: a scalable algorithm for computational prediction of conserved protein complexes across multiple protein interaction networks.
BMC Genom., 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
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
GPSRL: Learning Semi-Parametric Bayesian Survival Rule Lists from Heterogeneous Patient Data.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
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
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
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
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
Bayesian negative binomial regression for differential expression with confounding factors.
Bioinform., 2019
Bioinform., 2019
IEEE Access, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
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
IEEE Trans. Signal Process., 2018
IEEE Trans. Signal Process., 2018
A Collaborative Learning Framework for Estimating Many Individualized Regression Models in a Heterogeneous Population.
IEEE Trans. Reliab., 2018
IEEE Trans. Pattern Anal. Mach. Intell., 2018
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
Selected research articles from the 2017 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC).
BMC Bioinform., 2018
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
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018
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
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018
2017
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
J. Biomed. Informatics, 2017
CHI: A contemporaneous health index for degenerative disease monitoring using longitudinal measurements.
J. Biomed. Informatics, 2017
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
Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
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
IEEE Trans. Signal Process., 2016
Stochastic block coordinate Frank-Wolfe algorithm for large-scale biological network alignment.
EURASIP J. Bioinform. Syst. Biol., 2016
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
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
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
Proceedings of the 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2016
Proceedings of the Big Data over Networks, 2016
2015
IEEE Trans. Biomed. Eng., 2015
Comput. Biol. Chem., 2015
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
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015
2014
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
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
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
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
Proceedings of the 5th ACM Conference on Bioinformatics, 2014
Proceedings of the 5th ACM Conference on Bioinformatics, 2014
2013
IEEE Trans. Signal Process., 2013
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
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
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
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
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
Proceedings of the IEEE International Conference on Acoustics, 2011
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
IEEE Trans. Signal Process., 2010
Medical Image Anal., 2010
Int. J. Syst. Sci., 2010
Comput. Vis. Image Underst., 2010
Bioinform., 2010
A CoD-based reduction algorithm for designing stationary control policies on Boolean networks.
Bioinform., 2010
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
Proceedings of the IEEE International Conference on Acoustics, 2010
Proceedings of the 2010 IEEE International Workshop on Genomic Signal Processing and Statistics, 2010
2009
Medical Image Anal., 2009
J. Comput. Biol., 2009
Intervention in gene regulatory networks via greedy control policies based on long-run behavior.
BMC Syst. Biol., 2009
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
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007
2006
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006
2005
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005
2004
Proceedings of the 12th ACM International Conference on Multimedia, 2004
2002
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002