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08/29/2023
Ensuring User-side Fairness in Dynamic Recommender Systems
User-side group fairness is crucial for modern recommender systems, as i...
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08/23/2023
Joint Prediction of Audio Event and Annoyance Rating in an Urban Soundscape by Hierarchical Graph Representation Learning
Sound events in daily life carry rich information about the objective wo...
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06/30/2023
Latent Subgroup Identification in Image-on-scalar Regression
Image-on-scalar regression has been a popular approach to modeling the a...
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06/28/2023
Mediation with External Summary Statistic Information (MESSI)
Environmental health studies are increasingly measuring endogenous omics...
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06/06/2023
Bayesian inference for group-level cortical surface image-on-scalar-regression with Gaussian process priors
In regression-based analyses of group-level neuroimage data researchers ...
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05/17/2023
Sequential Best-Arm Identification with Application to Brain-Computer Interface
A brain-computer interface (BCI) is a technology that enables direct com...
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04/14/2023
Bayesian inference on Brain-Computer Interface using the GLASS Model
The brain-computer interface (BCI) enables individuals with severe physi...
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03/09/2023
Penalized Deep Partially Linear Cox Models with Application to CT Scans of Lung Cancer Patients
Lung cancer is a leading cause of cancer mortality globally, highlightin...
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03/07/2023
Statistical inferences for complex dependence of multimodal imaging data
Statistical analysis of multimodal imaging data is a challenging task, s...
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02/22/2023
Do We Really Need Complicated Model Architectures For Temporal Networks?
Recurrent neural network (RNN) and self-attention mechanism (SAM) are th...
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10/12/2022
Bregman Divergence-Based Data Integration with Application to Polygenic Risk Score (PRS) Heterogeneity Adjustment
Polygenic risk scores (PRS) have recently received much attention for ge...
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10/12/2022
JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional Networks
Graph Convolutional Network (GCN) has exhibited strong empirical perform...
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09/01/2022
Understanding the dynamic impact of COVID-19 through competing risk modeling with bivariate varying coefficients
The coronavirus disease 2019 (COVID-19) pandemic has exerted a profound ...
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07/15/2022
Composite Scores for Transplant Center Evaluation: A New Individualized Empirical Null Method
Risk-adjusted quality measures are used to evaluate healthcare providers...
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06/12/2022
Density Regression and Uncertainty Quantification with Bayesian Deep Noise Neural Networks
Deep neural network (DNN) models have achieved state-of-the-art predicti...
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05/31/2022
A Soft-Thresholding Operator for Sparse Time-Varying Effects in Survival Models
We consider a class of Cox models with time-dependent effects that may b...
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05/07/2022
Individualized Risk Assessment of Preoperative Opioid Use by Interpretable Neural Network Regression
Preoperative opioid use has been reported to be associated with higher p...
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04/07/2022
Linguistic-Acoustic Similarity Based Accent Shift for Accent Recognition
General accent recognition (AR) models tend to directly extract low-leve...
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04/02/2022
Leveraging Phone Mask Training for Phonetic-Reduction-Robust E2E Uyghur Speech Recognition
In Uyghur speech, consonant and vowel reduction are often encountered, e...
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02/28/2022
RawlsGCN: Towards Rawlsian Difference Principle on Graph Convolutional Network
Graph Convolutional Network (GCN) plays pivotal roles in many real-world...
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02/10/2022
Bayesian learning of COVID-19 Vaccine safety while incorporating Adverse Events ontology
While vaccines are crucial to end the COVID-19 pandemic, public confiden...
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09/30/2021
Robust High-Dimensional Regression with Coefficient Thresholding and its Application to Imaging Data Analysis
It is of importance to develop statistical techniques to analyze high-di...
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05/24/2021
MultiFair: Multi-Group Fairness in Machine Learning
Algorithmic fairness is becoming increasingly important in data mining a...
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05/13/2021
Deep Neural Networks Guided Ensemble Learning for Point Estimation in Finite Samples
As one of the most important estimators in classical statistics, the uni...
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03/24/2021
Bayesian Inference for Brain Activity from Functional Magnetic Resonance Imaging Collected at Two Spatial Resolutions
Neuroradiologists and neurosurgeons increasingly opt to use functional m...
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02/21/2021
Group Inverse-Gamma Gamma Shrinkage for Sparse Regression with Block-Correlated Predictors
Heavy-tailed continuous shrinkage priors, such as the horseshoe prior, a...
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09/23/2020
Bayesian Hierarchical Models for High-Dimensional Mediation Analysis with Coordinated Selection of Correlated Mediators
We consider Bayesian high-dimensional mediation analysis to identify amo...
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09/17/2020
Statistical Inference for High-Dimensional Vector Autoregression with Measurement Error
High-dimensional vector autoregression with measurement error is frequen...
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08/28/2020
Deep Historical Borrowing Framework to Prospectively and Simultaneously Synthesize Control Information in Confirmatory Clinical Trials with Multiple Endpoints
In current clinical trial development, historical information is receivi...
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08/14/2020
Bayesian Sparse Mediation Analysis with Targeted Penalization of Natural Indirect Effects
Causal mediation analysis aims to characterize an exposure's effect on a...
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06/17/2020
Image-on-Scalar Regression via Deep Neural Networks
A research topic of central interest in neuroimaging analysis is to stud...
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04/03/2020
Deep Learning for Image Search and Retrieval in Large Remote Sensing Archives
This chapter presents recent advances in content based image search and ...
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03/06/2020
Learning Convolutional Sparse Coding on Complex Domain for Interferometric Phase Restoration
Interferometric phase restoration has been investigated for decades and ...
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01/17/2020
BigEarthNet Deep Learning Models with A New Class-Nomenclature for Remote Sensing Image Understanding
Success of deep neural networks in the framework of remote sensing (RS) ...
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12/27/2019
Minorization-Maximization-based Steepest Ascent for Large-scale Survival Analysis with Time-Varying Effects: Application to the National Kidney Transplant Dataset
The time-varying effects model is a flexible and powerful tool for model...
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12/19/2019
So2Sat LCZ42: A Benchmark Dataset for Global Local Climate Zones Classification
Access to labeled reference data is one of the grand challenges in super...
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12/18/2019
Learning Shared Cross-modality Representation Using Multispectral-LiDAR and Hyperspectral Data
Due to the ever-growing diversity of the data source, multi-modality fea...
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12/16/2019
Targeting the Uniformly Most Powerful Unbiased Test in Sample Size Reassessment Adaptive Clinical Trials with Deep Learning
In recent pharmaceutical drug development, adaptive clinical trials beco...
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10/20/2019
Bayesian Symbolic Regression
Interpretability is crucial for machine learning in many scenarios such ...
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08/27/2019
Optimizing Graphical Procedures for Multiplicity Control in a Confirmatory Clinical Trial via Deep Learning
In confirmatory clinical trials, it has been proposed [Bretz et al., 200...
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09/29/2018
Bayesian network marker selection via the thresholded graph Laplacian Gaussian prior
Selecting informative nodes over large-scale networks becomes increasing...
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05/17/2018
Covariance-Insured Screening
Modern bio-technologies have produced a vast amount of high-throughput d...
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03/21/2018
SurvBoost: An R Package for High-Dimensional Variable Selection in the Stratified Proportional Hazards Model via Gradient Boosting
High-dimensional variable selection in the proportional hazards (PH) mod...
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02/25/2018
Building Instance Classification Using Street View Images
Land-use classification based on spaceborne or aerial remote sensing ima...
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11/04/2016