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Aggregation Delayed Federated Learning


Aug 17, 2021
Ye Xue, Diego Klabjan, Yuan Luo


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Non-Convex Optimization with Spectral Radius Regularization


Feb 22, 2021
Adam Sandler, Diego Klabjan, Yuan Luo

* 12 pages 

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


Dec 15, 2020
Yuan Luo, Chengsheng Mao

* Accepted by 35th AAAI Conference on Artificial Intelligence (AAAI 2021) 

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Towards Expressive Graph Representation


Oct 12, 2020
Chengsheng Mao, Liang Yao, Yuan Luo


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


Sep 03, 2020
Yikuan Li, Hanyin Wang, Yuan Luo

* 10 pages, 3 figures, submitted to BIBM2020 

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Open-Set Recognition with Gaussian Mixture Variational Autoencoders


Jun 03, 2020
Alexander Cao, Yuan Luo, Diego Klabjan

* 12 pages including 8 figures and 4 tables, plus 6 pages of supplementary material 

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Med2Meta: Learning Representations of Medical Concepts with Meta-Embeddings


Jan 04, 2020
Shaika Chowdhury, Chenwei Zhang, Philip S. Yu, Yuan Luo

* HEALTHINF 2020 
* 9 pages 

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Conditional Hierarchical Bayesian Tucker Decomposition


Dec 12, 2019
Adam Sandler, Diego Klabjan, Yuan Luo

* 20 pages, added model evaluation and log-likelihood sections 

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Hierarchical Semantic Correspondence Learning for Post-Discharge Patient Mortality Prediction


Oct 15, 2019
Shaika Chowdhury, Chenwei Zhang, Philip S. Yu, Yuan Luo


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


Oct 14, 2019
Shaika Chowdhury, Chenwei Zhang, Philip S. Yu, Yuan Luo


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KG-BERT: BERT for Knowledge Graph Completion


Sep 11, 2019
Liang Yao, Chengsheng Mao, Yuan Luo


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


Aug 20, 2019
Ye Xue, Diego Klabjan, Yuan Luo


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Symmetric Cross Entropy for Robust Learning with Noisy Labels


Aug 16, 2019
Yisen Wang, Xingjun Ma, Zaiyi Chen, Yuan Luo, Jinfeng Yi, James Bailey

* ICCV2019 

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


Aug 12, 2019
Ye Xue, Diego Klabjan, Yuan Luo


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


Apr 10, 2019
Zhenxing Xu, Jingyuan Chou, Xi Sheryl Zhang, Yuan Luo, Tamara Isakova, Prakash Adekkanattu, Jessica S. Ancker, Guoqian Jiang, Richard C. Kiefer, Jennifer A. Pacheco, Luke V. Rasmussen, Jyotishman Pathak, Fei Wang


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Evaluating the Portability of an NLP System for Processing Echocardiograms: A Retrospective, Multi-site Observational Study


Apr 02, 2019
Prakash Adekkanattu, Guoqian Jiang, Yuan Luo, Paul R. Kingsbury, Zhenxing Xu, Luke V. Rasmussen, Jennifer A. Pacheco, Richard C. Kiefer, Daniel J. Stone, Pascal S. Brandt, Liang Yao, Yizhen Zhong, Yu Deng, Fei Wang, Jessica S. Ancker, Thomas R. Campion, Jyotishman Pathak

* Under review with AMIA 2019 

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MedGCN: Graph Convolutional Networks for Multiple Medical Tasks


Mar 31, 2019
Chengsheng Mao, Liang Yao, Yuan Luo


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


Mar 31, 2019
Chengsheng Mao, Liang Yao, Yuan Luo


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Characterizing Design Patterns of EHR-Driven Phenotype Extraction Algorithms


Nov 15, 2018
Yizhen Zhong, Luke Rasmussen, Yu Deng, Jennifer Pacheco, Maureen Smith, Justin Starren, Wei-Qi Wei, Peter Speltz, Joshua Denny, Nephi Walton, George Hripcsak, Christopher G Chute, Yuan Luo

* 4 pages, accepted by IEEE BIBM 2018 as short paper 

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Implementing a Portable Clinical NLP System with a Common Data Model - a Lisp Perspective


Nov 15, 2018
Yuan Luo, Peter Szolovits

* 6 pages, accepted by IEEE BIBM 2018 as regular paper 

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Early Prediction of Acute Kidney Injury in Critical Care Setting Using Clinical Notes


Nov 09, 2018
Yikuan Li, Liang Yao, Chengsheng Mao, Anand Srivastava, Xiaoqian Jiang, Yuan Luo

* 4 pages, 3 figures, accepted by BIBM 2018 

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Graph Convolutional Networks for Text Classification


Oct 17, 2018
Liang Yao, Chengsheng Mao, Yuan Luo


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Supervised Nonnegative Matrix Factorization to Predict ICU Mortality Risk


Oct 09, 2018
Guoqing Chao, Chengsheng Mao, Fei Wang, Yuan Zhao, Yuan Luo

* 7 Pages, 2 figures 

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Deep Generative Classifiers for Thoracic Disease Diagnosis with Chest X-ray Images


Sep 20, 2018
Chengsheng Mao, Yiheng Pan, Zexian Zeng, Liang Yao, Yuan Luo


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Distribution Networks for Open Set Learning


Sep 20, 2018
Chengsheng Mao, Liang Yao, Yuan Luo


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Clinical Text Classification with Rule-based Features and Knowledge-guided Convolutional Neural Networks


Jul 20, 2018
Liang Yao, Chengsheng Mao, Yuan Luo

* arXiv admin note: text overlap with arXiv:1806.04820 by other authors 

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Developing a Portable Natural Language Processing Based Phenotyping System


Jul 17, 2018
Himanshu Sharma, Chengsheng Mao, Yizhen Zhang, Haleh Vatani, Liang Yao, Yizhen Zhong, Luke Rasmussen, Guoqian Jiang, Jyotishman Pathak, Yuan Luo

* 13 pages 

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