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Jie Xu
ORCID
Publication Activity (10 Years)
Years Active: 2013-2023
Publications (10 Years): 22
Top Topics
Ct Scans
Metric Learning
Sparse Representation
Health Records
Top Venues
CoRR
AAAI
IJCAI
ICASSP
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Publications
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Jie Xu
,
Xing He
,
Wei Shao
,
Jiang Bian
,
Russell Terry
Classification of Benign and Malignant Renal Tumors Based on CT Scans and Clinical Data Using Machine Learning Methods.
Informatics
10 (3) (2023)
Inyoung Jun
,
Sarah E. S. Leary
,
Jie Xu
,
Jiang Bian
,
Mattia Prosperi
Quantification of Racial Disparity on Urinary Tract Infection Recurrence and Treatment Resistance in Florida using Algorithmic Fairness Methods.
ICHI
(2023)
Pascal S. Brandt
,
Jennifer A. Pacheco
,
Prakash Adekkanattu
,
Evan Sholle
,
Sajjad Abedian
,
Daniel J. Stone
,
David Knaack
,
Jie Xu
,
Zhenxing Xu
,
Yifan Peng
,
Natalie C. Benda
,
Fei Wang
,
Yuan Luo
,
Guoqian Jiang
,
Jyotishman Pathak
,
Luke V. Rasmussen
Design and validation of a FHIR-based EHR-driven phenotyping toolbox.
J. Am. Medical Informatics Assoc.
29 (9) (2022)
Chengsheng Mao
,
Jie Xu
,
Luke V. Rasmussen
,
Yikuan Li
,
Prakash Adekkanattu
,
Jennifer A. Pacheco
,
Borna Bonakdarpour
,
Robert Vassar
,
Guoqian Jiang
,
Fei Wang
,
Jyotishman Pathak
,
Yuan Luo
AD-BERT: Using Pre-trained contextualized embeddings to Predict the Progression from Mild Cognitive Impairment to Alzheimer's Disease.
CoRR
(2022)
Mattia C. F. Prosperi
,
Jie Xu
,
Jingchuan Serena Guo
,
Jiang Bian
,
Wei-Han William Chen
,
Shantrel Canidate
,
Simone Marini
,
Mo Wang
Identification of Social and Racial Disparities in Risk of HIV Infection in Florida using Causal AI Methods.
BIBM
(2022)
Jie Xu
,
Benjamin S. Glicksberg
,
Chang Su
,
Peter B. Walker
,
Jiang Bian
,
Fei Wang
Federated Learning for Healthcare Informatics.
J. Heal. Informatics Res.
5 (1) (2021)
Jie Xu
,
Fei Wang
,
Zhenxing Xu
,
Prakash Adekkanattu
,
Pascal S. Brandt
,
Guoqian Jiang
,
Richard C. Kiefer
,
Yuan Luo
,
Chengsheng Mao
,
Jennifer A. Pacheco
,
Luke V. Rasmussen
,
Yiye Zhang
,
Richard Isaacson
,
Jyotishman Pathak
Identification of Alzheimer's Disease Subtypes from Electronic Health Records Using a Data-Driven Approach.
AMIA
(2020)
Jie Xu
,
Zhenxing Xu
,
Peter B. Walker
,
Fei Wang
Federated Patient Hashing.
AAAI
(2020)
Pascal S. Brandt
,
Richard C. Kiefer
,
Jennifer A. Pacheco
,
Prakash Adekkanattu
,
Evan Sholle
,
Faraz S. Ahmad
,
Jie Xu
,
Zhenxing Xu
,
Jessica S. Ancker
,
Fei Wang
,
Yuan Luo
,
Guoqian Jiang
,
Jyotishman Pathak
,
Luke V. Rasmussen
Feasibility of Cross-Platform EHR-Driven Phenotyping Using Clinical Quality Language.
AMIA
(2020)
Jie Xu
,
Zhenxing Xu
,
Bin Yu
,
Fei Wang
Order-Preserving Metric Learning for Mining Multivariate Time Series.
ICDM
(2020)
Jie Xu
,
Wei Zhang
,
Fei Wang
SGD: Asynchronous Decentralized Parallel Stochastic Gradient Descent with Differential Privacy.
CoRR
(2020)
Lei Luo
,
Jie Xu
,
Cheng Deng
,
Heng Huang
Orthogonality-Promoting Dictionary Learning via Bayesian Inference.
AAAI
(2019)
Lei Luo
,
Jie Xu
,
Cheng Deng
,
Heng Huang
Robust Metric Learning on Grassmann Manifolds with Generalization Guarantees.
AAAI
(2019)
Jie Xu
,
Fei Wang
Federated Learning for Healthcare Informatics.
CoRR
(2019)
Jie Xu
,
Lei Luo
,
Cheng Deng
,
Heng Huang
Bilevel Distance Metric Learning for Robust Image Recognition.
NeurIPS
(2018)
Jie Xu
,
Lei Luo
,
Cheng Deng
,
Heng Huang
Multi-Level Metric Learning via Smoothed Wasserstein Distance.
IJCAI
(2018)
Jie Xu
,
Lei Luo
,
Cheng Deng
,
Heng Huang
New Robust Metric Learning Model Using Maximum Correntropy Criterion.
KDD
(2018)
Xinxia Fan
,
Yanhua Yang
,
Cheng Deng
,
Jie Xu
,
Xinbo Gao
Compressed multi-scale feature fusion network for single image super-resolution.
Signal Process.
146 (2018)
Jie Xu
,
Cheng Deng
,
Xinbo Gao
,
Dinggang Shen
,
Heng Huang
Predicting Alzheimer's Disease Cognitive Assessment via Robust Low-Rank Structured Sparse Model.
IJCAI
(2017)
Jie Xu
,
Xianglong Liu
,
Zhouyuan Huo
,
Cheng Deng
,
Feiping Nie
,
Heng Huang
Multi-Class Support Vector Machine via Maximizing Multi-Class Margins.
IJCAI
(2017)
Cheng Deng
,
Jie Xu
,
Kaibing Zhang
,
Dacheng Tao
,
Xinbo Gao
,
Xuelong Li
Similarity Constraints-Based Structured Output Regression Machine: An Approach to Image Super-Resolution.
IEEE Trans. Neural Networks Learn. Syst.
27 (12) (2016)
Songhang Ye
,
Cheng Deng
,
Jie Xu
,
Xinbo Gao
Coupled fisher discrimination dictionary learning for single image super-resolution.
ICASSP
(2015)
Jie Xu
,
Cheng Deng
,
Xinbo Gao
,
Dacheng Tao
,
Xuelong Li
Image super-resolution using multi-layer support vector regression.
ICASSP
(2014)
Jie Xu
,
Cheng Deng
,
Xianglong Liu
,
Jie Li
Image Super-resolution Based on Sparse Representation With Joint Constraints.
ICIMCS
(2014)
Fang Xie
,
Cheng Deng
,
Jie Xu
,
Jifei Yu
,
Jie Li
Image super resolution using Gaussian Process Regression with patch clustering.
ICIMCS
(2013)