
A Bayesian Selection Model for Correcting Outcome Reporting Bias With Application to a Metaanalysis on Heart Failure Interventions
Multivariate metaanalysis (MMA) is a powerful tool for jointly estimati...
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Human factors engineering research on single pilot operations for large commercial aircraft: Status and prospect
The civil aviation community is actively exploring and developing the so...
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Federated Learning Algorithms for Generalized Mixedeffects Model (GLMM) on Horizontally Partitioned Data from Distributed Sources
Objectives: This paper develops two algorithms to achieve federated gene...
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Multiplex Graph Networks for Multimodal Brain Network Analysis
In this paper, we propose MGNet, a simple and effective multiplex graph ...
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RealTime Mapping of Tissue Properties for Magnetic Resonance Fingerprinting
Magnetic resonance Fingerprinting (MRF) is a relatively new multiparame...
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Approximation algorithms for the directed path partition problems
Given a directed graph G = (V, E), the kpath partition problem is to fi...
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Odds Ratios are far from "portable": A call to use realistic models for effect variation in metaanalysis
Objective: Recently Doi et al. argued that risk ratios should be replace...
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The Federated Tumor Segmentation (FeTS) Challenge
This manuscript describes the first challenge on Federated Learning, nam...
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A Bayesian Hierarchical Modeling Framework for Geospatial Analysis of Adverse Pregnancy Outcomes
Studying the determinants of adverse pregnancy outcomes like stillbirth ...
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Federated MultiView Learning for Private Medical Data Integration and Analysis
Along with the rapid expansion of information technology and digitalizat...
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On the global identifiability of logistic regression models with misclassified outcomes
In the last decade, the secondary use of large data from health systems,...
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Combining Cox Regressions Across a Heterogeneous Distributed Research Network Facing Small and Zero Counts
Studies of the effects of medical interventions increasingly take place ...
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Efficient Robust Watermarking Based on Quaternion Singular Value Decomposition and Coefficient Pair Selection
Quaternion singular value decomposition (QSVD) is a robust technique of ...
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Generalized Cosparse Factor Regression
Multivariate regression techniques are commonly applied to explore the a...
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WoodpeckerDL: Accelerating Deep Neural Networks via HardwareAware Multifaceted Optimizations
Accelerating deep model training and inference is crucial in practice. E...
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Testing for publication bias in metaanalysis under Copas selection model
In metaanalyses, publication bias is a wellknown, important and challe...
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A Robust Bayesian Copas Selection Model for Quantifying and Correcting Publication Bias
The validity of conclusions from metaanalysis is potentially threatened...
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Missing at Random or Not: A Semiparametric Testing Approach
Practical problems with missing data are common, and statistical methods...
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A regressionbased method for detecting publication bias in multivariate metaanalysis
Publication bias occurs when the publication of research results depends...
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Fixedeffects model: the most convincing model for metaanalysis with few studies
According to Davey et al. (2011) with a total of 22,453 metaanalyses fr...
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Hyperspectral SuperResolution via Coupled Tensor Ring Factorization
Hyperspectral superresolution (HSR) fuses a lowresolution hyperspectra...
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Heterogeneityaware and communicationefficient distributed statistical inference
In multicenter research, individuallevel data are often protected again...
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A changepoint approach to identify hierarchical organization of topologically associated domains in chromatin interaction
The identification of spatial and temporal threedimensional (3D) genome...
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Regularized Nonnegative Spectral Embedding for Clustering
Spectral Clustering is a popular technique to split data points into gro...
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Approximation algorithms for maximally balanced connected graph partition
Given a simple connected graph G = (V, E), we seek to partition the vert...
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Data Centers Job Scheduling with Deep Reinforcement Learning
Efficient job scheduling on data centers under heterogeneous complexity ...
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Job Scheduling on Data Centers with Deep Reinforcement Learning
Efficient job scheduling on data centers under heterogeneous complexity ...
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Fast Algorithms and Theory for HighDimensional Bayesian Varying Coefficient Models
Nonparametric varying coefficient (NVC) models are widely used for model...
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Exploring difference in public perceptions on HPV vaccine between gender groups from Twitter using deep learning
In this study, we proposed a convolutional neural network model for gend...
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SpikeandSlab Group Lassos for Grouped Regression and Sparse Generalized Additive Models
We introduce the spikeandslab group lasso (SSGL) for Bayesian estimati...
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Optimizing the SSD Burst Buffer by Traffic Detection
Currently, Burst buffer has been proposed to manage the SSD buffering of...
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A local search 4/3approximation algorithm for the minimum 3path partition problem
Given a graph G = (V, E), the 3path partition problem is to find a mini...
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Improved approximation algorithms for path vertex covers in regular graphs
Given a simple graph G = (V, E) and a constant integer k > 2, the kpath...
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A SelfOrganizing Tensor Architecture for MultiView Clustering
In many realworld applications, data are often unlabeled and comprised ...
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Approximation algorithms for the threemachine proportionate mixed shop scheduling
A mixed shop is a manufacturing infrastructure designed to process a mix...
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Factorized QLearning for LargeScale MultiAgent Systems
Deep Qlearning has achieved a significant success in singleagent decis...
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Quantitative analysis on the disparity of regional economic development in China and its evolution from 1952 to 2000
Domestic and foreign scholars have already done much research on regiona...
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Testing small study effects in multivariate metaanalysis
Small study effects occur when smaller studies show different, often lar...
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A SoftwareDefined QoS Provisioning Framework for HPC Applications
With the emergence of largescale dataintensive highperformance applic...
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A CrossLayer Solution in Scientific Workflow System for Tackling Data Movement Challenge
Scientific applications in HPC environment are more complex and more da...
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A SoftwareDefined Approach for QoS Control in HighPerformance Computing Storage Systems
Highperformance computing (HPC) storage systems become increasingly cri...
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Clientside StragglerAware I/O Scheduler for Objectbased Parallel File Systems
Objectbased parallel file systems have emerged as promising storage sol...
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Approximation algorithms for twomachine flowshop scheduling with a conflict graph
Path cover is a wellknown intractable problem that finds a minimum numb...
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Yong Chen
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