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08/02/2023
PROV-IO+: A Cross-Platform Provenance Framework for Scientific Data on HPC Systems
Data provenance, or data lineage, describes the life cycle of data. In s...
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05/15/2023
Gradient-enhanced physics-informed neural networks based on transfer learning for inverse problems of the variable coefficient differential equations
We propose gradient-enhanced PINNs based on transfer learning (TL-gPINNs...
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05/10/2023
Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources
Machine learning (ML) in healthcare presents numerous opportunities for ...
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04/17/2023
PerCoNet: News Recommendation with Explicit Persona and Contrastive Learning
Personalized news recommender systems help users quickly find content of...
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03/20/2023
Scene Graph Based Fusion Network For Image-Text Retrieval
A critical challenge to image-text retrieval is how to learn accurate co...
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03/01/2023
FedScore: A privacy-preserving framework for federated scoring system development
We propose FedScore, a privacy-preserving federated learning framework f...
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01/20/2023
ARcode: HPC Application Recognition Through Image-encoded Monitoring Data
Knowing HPC applications of jobs and analyzing their performance behavio...
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01/12/2023
Analyzing Resource Utilization in an HPC System: A Case Study of NERSC Perlmutter
The resource demands of HPC applications vary significantly. However, it...
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01/11/2023
Beyond Graph Convolutional Network: An Interpretable Regularizer-centered Optimization Framework
Graph convolutional networks (GCNs) have been attracting widespread atte...
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12/27/2022
TegFormer: Topic-to-Essay Generation with Good Topic Coverage and High Text Coherence
Creating an essay based on a few given topics is a challenging NLP task....
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12/27/2022
A Survey on Knowledge-Enhanced Pre-trained Language Models
Natural Language Processing (NLP) has been revolutionized by the use of ...
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08/31/2022
Two-stage Hypothesis Tests for Variable Interactions with FDR Control
In many scenarios such as genome-wide association studies where dependen...
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05/29/2022
The Berry-Esséen Upper Bounds of Vasicek Model Estimators
The Berry-Esséen upper bounds of moment estimators and least squares est...
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12/06/2021
Data-driven forward-inverse problems for Yajima-Oikawa system using deep learning with parameter regularization
We investigate data-driven forward-inverse problems for Yajima-Oikawa (Y...
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11/30/2021
Parameter estimation for an Ornstein-Uhlenbeck Process driven by a general Gaussian noise with Hurst Parameter H∈ (0,1/2)
In Chen and Zhou 2021, they consider an inference problem for an Ornstei...
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10/17/2021
A Bayesian Selection Model for Correcting Outcome Reporting Bias With Application to a Meta-analysis on Heart Failure Interventions
Multivariate meta-analysis (MMA) is a powerful tool for jointly estimati...
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10/14/2021
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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09/28/2021
Federated Learning Algorithms for Generalized Mixed-effects Model (GLMM) on Horizontally Partitioned Data from Distributed Sources
Objectives: This paper develops two algorithms to achieve federated gene...
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07/31/2021
Multiplex Graph Networks for Multimodal Brain Network Analysis
In this paper, we propose MGNet, a simple and effective multiplex graph ...
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07/16/2021
Real-Time Mapping of Tissue Properties for Magnetic Resonance Fingerprinting
Magnetic resonance Fingerprinting (MRF) is a relatively new multi-parame...
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07/09/2021
Approximation algorithms for the directed path partition problems
Given a directed graph G = (V, E), the k-path partition problem is to fi...
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06/04/2021
Odds Ratios are far from "portable": A call to use realistic models for effect variation in meta-analysis
Objective: Recently Doi et al. argued that risk ratios should be replace...
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05/12/2021
The Federated Tumor Segmentation (FeTS) Challenge
This manuscript describes the first challenge on Federated Learning, nam...
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05/11/2021
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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05/04/2021
Federated Multi-View Learning for Private Medical Data Integration and Analysis
Along with the rapid expansion of information technology and digitalizat...
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03/23/2021
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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01/05/2021
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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11/06/2020
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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10/16/2020
Generalized Co-sparse Factor Regression
Multivariate regression techniques are commonly applied to explore the a...
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08/11/2020
Woodpecker-DL: Accelerating Deep Neural Networks via Hardware-Aware Multifaceted Optimizations
Accelerating deep model training and inference is crucial in practice. E...
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07/02/2020
Testing for publication bias in meta-analysis under Copas selection model
In meta-analyses, publication bias is a well-known, important and challe...
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05/06/2020
A Robust Bayesian Copas Selection Model for Quantifying and Correcting Publication Bias
The validity of conclusions from meta-analysis is potentially threatened...
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03/25/2020
Missing at Random or Not: A Semiparametric Testing Approach
Practical problems with missing data are common, and statistical methods...
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02/12/2020
A regression-based method for detecting publication bias in multivariate meta-analysis
Publication bias occurs when the publication of research results depends...
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02/11/2020
Fixed-effects model: the most convincing model for meta-analysis with few studies
According to Davey et al. (2011) with a total of 22,453 meta-analyses fr...
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01/06/2020
Hyperspectral Super-Resolution via Coupled Tensor Ring Factorization
Hyperspectral super-resolution (HSR) fuses a low-resolution hyperspectra...
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12/20/2019
Heterogeneity-aware and communication-efficient distributed statistical inference
In multicenter research, individual-level data are often protected again...
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11/24/2019
A change-point approach to identify hierarchical organization of topologically associated domains in chromatin interaction
The identification of spatial and temporal three-dimensional (3D) genome...
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11/01/2019
Regularized Non-negative Spectral Embedding for Clustering
Spectral Clustering is a popular technique to split data points into gro...
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10/06/2019
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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09/16/2019
Data Centers Job Scheduling with Deep Reinforcement Learning
Efficient job scheduling on data centers under heterogeneous complexity ...
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09/16/2019
Job Scheduling on Data Centers with Deep Reinforcement Learning
Efficient job scheduling on data centers under heterogeneous complexity ...
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07/15/2019
Fast Algorithms and Theory for High-Dimensional Bayesian Varying Coefficient Models
Nonparametric varying coefficient (NVC) models are widely used for model...
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07/06/2019
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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03/05/2019
Spike-and-Slab Group Lassos for Grouped Regression and Sparse Generalized Additive Models
We introduce the spike-and-slab group lasso (SSGL) for Bayesian estimati...
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02/15/2019
Optimizing the SSD Burst Buffer by Traffic Detection
Currently, Burst buffer has been proposed to manage the SSD buffering of...
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12/21/2018
A local search 4/3-approximation algorithm for the minimum 3-path partition problem
Given a graph G = (V, E), the 3-path partition problem is to find a mini...
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11/03/2018
Improved approximation algorithms for path vertex covers in regular graphs
Given a simple graph G = (V, E) and a constant integer k > 2, the k-path...
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10/18/2018
A Self-Organizing Tensor Architecture for Multi-View Clustering
In many real-world applications, data are often unlabeled and comprised ...
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09/15/2018
