b'Yuan Luo'

research

∙ 09/15/2023

Deep Reinforcement Learning for Efficient and Fair Allocation of Health Care Resources

Scarcity of health care resources could result in the unavoidable conseq...

0 Yikuan Li, et al. ∙

research

∙ 08/26/2023

Exploring Large Language Models for Knowledge Graph Completion

Knowledge graphs play a vital role in numerous artificial intelligence t...

0 Liang Yao, et al. ∙

research

∙ 06/25/2023

On Strong Secrecy for Multiple Access Channels with States and Causal CSI

Strong secrecy communication over a discrete memoryless state-dependent ...

0 Yiqi Chen, et al. ∙

research

∙ 05/26/2023

Incentive Mechanism for Uncertain Tasks under Differential Privacy

Mobile crowd sensing (MCS) has emerged as an increasingly popular sensin...

0 Xikun Jiang, et al. ∙

research

∙ 05/02/2023

On Strong Secrecy for Multiple Access Channel with States and Causal CSI

Strong secrecy communication over a discrete memoryless state-dependent ...

0 Yiqi Chen, et al. ∙

research

∙ 04/20/2023

Medical Image Deidentification, Cleaning and Compression Using Pylogik

Leveraging medical record information in the era of big data and machine...

0 Adrienne Kline, et al. ∙

research

∙ 02/20/2023

Deep Reinforcement Learning for Cost-Effective Medical Diagnosis

Dynamic diagnosis is desirable when medical tests are costly or time-con...

0 Zheng Yu, et al. ∙

research

∙ 02/08/2023

IRTCI: Item Response Theory for Categorical Imputation

Most datasets suffer from partial or complete missing values, which has ...

0 Adrienne Kline, et al. ∙

research

∙ 02/01/2023

Using Machine Learning to Develop Smart Reflex Testing Protocols

Objective: Reflex testing protocols allow clinical laboratories to perfo...

0 Matthew McDermott, et al. ∙

research

∙ 01/27/2023

A Comparative Study of Pretrained Language Models for Long Clinical Text

Objective: Clinical knowledge enriched transformer models (e.g., Clinica...

0 Yikuan Li, et al. ∙

research

∙ 10/13/2022

SHINE: SubHypergraph Inductive Neural nEtwork

Hypergraph neural networks can model multi-way connections among nodes o...

0 Yuan Luo, et al. ∙

research

∙ 07/05/2022

Deep Learning Reveals Patterns of Diverse and Changing Sentiments Towards COVID-19 Vaccines Based on 11 Million Tweets

Over 12 billion doses of COVID-19 vaccines have been administered at the...

0 Hanyin Wang, et al. ∙

research

∙ 05/07/2022

AKI-BERT: a Pre-trained Clinical Language Model for Early Prediction of Acute Kidney Injury

Acute kidney injury (AKI) is a common clinical syndrome characterized by...

0 Chengsheng Mao, et al. ∙

research

∙ 04/10/2022

Multimodal Machine Learning in Precision Health

As machine learning and artificial intelligence are more frequently bein...

5 Adrienne Kline, et al. ∙

research

∙ 03/05/2022

Machine Learning Applications in Diagnosis, Treatment and Prognosis of Lung Cancer

The recent development of imaging and sequencing technologies enables sy...

0 Yawei Li, et al. ∙

research

∙ 02/27/2022

Distribution Preserving Graph Representation Learning

Graph neural network (GNN) is effective to model graphs for distributed ...

0 Chengsheng Mao, et al. ∙

research

∙ 01/31/2022

Topology-Preserving Dimensionality Reduction via Interleaving Optimization

Dimensionality reduction techniques are powerful tools for data preproce...

0 Bradley J. Nelson, et al. ∙

research

∙ 01/27/2022

Clinical-Longformer and Clinical-BigBird: Transformers for long clinical sequences

Transformers-based models, such as BERT, have dramatically improved the ...

0 Yikuan Li, et al. ∙

research

∙ 01/09/2022

Open-Set Recognition of Breast Cancer Treatments

Open-set recognition generalizes a classification task by classifying te...

0 Alexander Cao, et al. ∙

research

∙ 12/24/2021

Constrained tensor factorization for computational phenotyping and mortality prediction in patients with cancer

Background: The increasing adoption of electronic health records (EHR) a...

0 Francisco Y Cai, et al. ∙

research

∙ 12/20/2021

Natural language processing to identify lupus nephritis phenotype in electronic health records

Systemic lupus erythematosus (SLE) is a rare autoimmune disorder charact...

0 Yu Deng, et al. ∙

research

∙ 12/15/2021

Disparities in Social Determinants among Performances of Mortality Prediction with Machine Learning for Sepsis Patients

Background Sepsis is one of the most life-threatening circumstances for ...

0 Hanyin Wang, et al. ∙

research

∙ 11/19/2021

SNPs Filtered by Allele Frequency Improve the Prediction of Hypertension Subtypes

Hypertension is the leading global cause of cardiovascular disease and p...

0 Yiming Li, et al. ∙

research

∙ 11/18/2021

Assessing Social Determinants-Related Performance Bias of Machine Learning Models: A case of Hyperchloremia Prediction in ICU Population

Machine learning in medicine leverages the wealth of healthcare data to ...

0 Songzi Liu, et al. ∙

research

∙ 11/09/2021

Early Prediction of Mortality in Critical Care Setting in Sepsis Patients Using Structured Features and Unstructured Clinical Notes

Sepsis is an important cause of mortality, especially in intensive care ...

0 Jiyoung Shin, et al. ∙

research

∙ 10/31/2021

Unsupervised Learning to Subphenotype Delirium Patients from Electronic Health Records

Delirium is a common acute onset brain dysfunction in the emergency sett...

0 Yiqing Zhao, et al. ∙

research

∙ 09/13/2021

Multipoint-to-point data aggregation using a single receiver and frequency-multiplexed intensity-modulated ONUs

We demonstrate 2.5-GHz-spacing frequency multiplexing capable of aggrega...

0 Zichuan Zhou, et al. ∙

research

∙ 08/17/2021

Aggregation Delayed Federated Learning

Federated learning is a distributed machine learning paradigm where mult...

0 Ye Xue, et al. ∙

research

∙ 08/11/2021

Accelerating Iterated Persistent Homology Computations with Warm Starts

Persistent homology is a topological feature used in a variety of applic...

0 Yuan Luo, et al. ∙

research

∙ 05/24/2021

Constructions of Binary Optimal Locally Repairable Codes via Intersection Subspaces

Locally repairable codes (LRCs), which can recover any symbol of a codew...

0 Wenqin Zhang, et al. ∙

research

∙ 02/22/2021

Non-Convex Optimization with Spectral Radius Regularization

We develop a regularization method which finds flat minima during the tr...

0 Adam Sandler, et al. ∙

research

∙ 12/15/2020

PANTHER: Pathway Augmented Nonnegative Tensor factorization for HighER-order feature learning

Genetic pathways usually encode molecular mechanisms that can inform tar...

0 Yuan Luo, et al. ∙

research

∙ 10/12/2020

Towards Expressive Graph Representation

Graph Neural Network (GNN) aggregates the neighborhood of each node into...

0 Chengsheng Mao, et al. ∙

research

∙ 09/03/2020

A Comparison of Pre-trained Vision-and-Language Models for Multimodal Representation Learning across Medical Images and Reports

Joint image-text embedding extracted from medical images and associated ...

0 Yikuan Li, et al. ∙

research

∙ 07/06/2020

Total Variation Distance Based Performance Analysis of Covert Communication over AWGN Channels in Non-asymptotic Regime

This paper investigates covert communication over an additive white Gaus...

0 Xinchun Yu, et al. ∙

research

∙ 06/03/2020

Open-Set Recognition with Gaussian Mixture Variational Autoencoders

In inference, open-set classification is to either classify a sample int...

5 Alexander Cao, et al. ∙

research

∙ 03/30/2020

Deep Learning-Based Anomaly Detection in Cyber-Physical Systems: Progress and Opportunities

Anomaly detection is crucial to ensure the security of cyber-physical sy...

0 Yuan Luo, et al. ∙

research

∙ 12/06/2019

Med2Meta: Learning Representations of Medical Concepts with Meta-Embeddings

Distributed representations of medical concepts have been used to suppor...

0 Shaika Chowdhury, et al. ∙

research

∙ 11/27/2019

Conditional Hierarchical Bayesian Tucker Decomposition

Our research focuses on studying and developing methods for reducing the...

4 Adam Sandler, et al. ∙

research

∙ 10/15/2019

Hierarchical Semantic Correspondence Learning for Post-Discharge Patient Mortality Prediction

Predicting patient mortality is an important and challenging problem in ...

0 Shaika Chowdhury, et al. ∙

research

∙ 10/14/2019

Mixed Pooling Multi-View Attention Autoencoder for Representation Learning in Healthcare

Distributed representations have been used to support downstream tasks i...

24 Shaika Chowdhury, et al. ∙

research

∙ 09/25/2019

One-shot achievability and converse bounds of Gaussian random coding in AWGN channels under covert constraints

This paper considers the achievability and converse bounds on the maxima...

0 Xinchun Yu, et al. ∙

research

∙ 09/07/2019

KG-BERT: BERT for Knowledge Graph Completion

Knowledge graphs are important resources for many artificial intelligenc...

0 Liang Yao, et al. ∙

research

∙ 08/16/2019

Symmetric Cross Entropy for Robust Learning with Noisy Labels

Training accurate deep neural networks (DNNs) in the presence of noisy l...

0 Yisen Wang, et al. ∙

research

∙ 08/12/2019

Mixture-based Multiple Imputation Models for Clinical Data with a Temporal Dimension

The problem of missing values in multivariable time series is a key chal...

1 Ye Xue, et al. ∙

research

∙ 08/12/2019

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension

The problem of missing values in multivariable time series is a key chal...

0 Ye Xue, et al. ∙

research

∙ 04/10/2019

Identification of Predictive Sub-Phenotypes of Acute Kidney Injury using Structured and Unstructured Electronic Health Record Data with Memory Networks

Acute Kidney Injury (AKI) is a common clinical syndrome characterized by...

0 Zhenxing Xu, et al. ∙

research

∙ 03/31/2019

MedGCN: Graph Convolutional Networks for Multiple Medical Tasks

Laboratory testing and medication prescription are two of the most impor...

0 Chengsheng Mao, et al. ∙

research

∙ 03/31/2019

ImageGCN: Multi-Relational Image Graph Convolutional Networks for Disease Identification with Chest X-rays

Image representation is a fundamental task in computer vision. However, ...

0 Chengsheng Mao, et al. ∙

research

∙ 01/10/2019

Finite Blocklength Analysis on Covert Communication over AWGN Channels

Covert communication over an additive white Gaussian noise (AWGN) channe...

0 Xinchun Yu, et al. ∙

Yuan Luo

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