Image super resolution using Gaussian Process Regression with patch clustering. - Fang Xie; Cheng Deng; Jie Xu 012; Jifei Yu; Jie Li 001 (ICIMCS, 2013)

Image super-resolution using multi-layer support vector regression. - Jie Xu 012; Cheng Deng; Xinbo Gao 001; Dacheng Tao; Xuelong Li 001 (ICASSP, 2014)

Image Super-resolution Based on Sparse Representation With Joint Constraints. - Jie Xu 012; Cheng Deng; Xianglong Liu 001; Jie Li 001 (ICIMCS, 2014)

Coupled fisher discrimination dictionary learning for single image super-resolution. - Songhang Ye; Cheng Deng; Jie Xu 012; Xinbo Gao 001 (ICASSP, 2015)

Similarity Constraints-Based Structured Output Regression Machine: An Approach to Image Super-Resolution. - Cheng Deng; Jie Xu 012; Kaibing Zhang; Dacheng Tao; Xinbo Gao 001; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2016)

Predicting Alzheimer's Disease Cognitive Assessment via Robust Low-Rank Structured Sparse Model. - Jie Xu 012; Cheng Deng; Xinbo Gao 001; Dinggang Shen; Heng Huang (IJCAI, 2017)

Multi-Class Support Vector Machine via Maximizing Multi-Class Margins. - Jie Xu 012; Xianglong Liu 001; Zhouyuan Huo; Cheng Deng; Feiping Nie 001; Heng Huang (IJCAI, 2017)

Multi-Level Metric Learning via Smoothed Wasserstein Distance. - Jie Xu 012; Lei Luo 001; Cheng Deng; Heng Huang (IJCAI, 2018)

New Robust Metric Learning Model Using Maximum Correntropy Criterion. - Jie Xu 012; Lei Luo 001; Cheng Deng; Heng Huang (KDD, 2018)

Bilevel Distance Metric Learning for Robust Image Recognition. - Jie Xu 012; Lei Luo 001; Cheng Deng; Heng Huang (NeurIPS, 2018)

Compressed multi-scale feature fusion network for single image super-resolution. - Xinxia Fan; Yanhua Yang; Cheng Deng; Jie Xu 012; Xinbo Gao 001 (Signal Process., 2018)

Orthogonality-Promoting Dictionary Learning via Bayesian Inference. - Lei Luo 001; Jie Xu 012; Cheng Deng; Heng Huang (AAAI, 2019)

Robust Metric Learning on Grassmann Manifolds with Generalization Guarantees. - Lei Luo 001; Jie Xu 012; Cheng Deng; Heng Huang (AAAI, 2019)

Federated Learning for Healthcare Informatics. - Jie Xu 012; Fei Wang 001 (CoRR, 2019)

Federated Patient Hashing. - Jie Xu 012; Zhenxing Xu; Peter B. Walker; Fei Wang 001 (AAAI, 2020)

Feasibility of Cross-Platform EHR-Driven Phenotyping Using Clinical Quality Language. - Pascal S. Brandt; Richard C. Kiefer; Jennifer A. Pacheco; Prakash Adekkanattu; Evan Sholle; Faraz S. Ahmad; Jie Xu 012; Zhenxing Xu; Jessica S. Ancker; Fei Wang 001; Yuan Luo 001; Guoqian Jiang; et al. (AMIA, 2020)

Identification of Alzheimer's Disease Subtypes from Electronic Health Records Using a Data-Driven Approach. - Jie Xu 012; Fei Wang 001; Zhenxing Xu; Prakash Adekkanattu; Pascal S. Brandt; Guoqian Jiang; Richard C. Kiefer; Yuan Luo 001; Chengsheng Mao; Jennifer A. Pacheco; Luke V. Rasmussen; Yiye Zhang; et al. (AMIA, 2020)

Order-Preserving Metric Learning for Mining Multivariate Time Series. - Jie Xu 012; Zhenxing Xu; Bin Yu; Fei Wang 001 (ICDM, 2020)

A(DP)2SGD: Asynchronous Decentralized Parallel Stochastic Gradient Descent with Differential Privacy. - Jie Xu 012; Wei Zhang; Fei Wang 001 (CoRR, 2020)

Multi-site Evaluation of Longitudinal Changes in Ejection Fraction in Heart Failure Patients Through Data-driven Phenotyping. - Prakash Adekkanattu; Jennifer A. Pacheco; Joseph Kabariti; Daniel J. Stone; Yue Yu; Parag Goyal; Faraz S. Ahmad; Guoqian Jiang; Yuan Luo 001; Luke V. Rasmussen; Pascal S. Brandt; Zhenxing Xu; et al. (AMIA, 2021)

A Deep Learning Framework Using a Pre-trained BERT Model to Predict the Risk of Progression from Mild Cognitive Impairment to Alzheimer's Disease. - Chengsheng Mao; Jie Xu 012; Luke V. Rasmussen; Jennifer A. Pacheco; Guoqian Jiang; Fei Wang 001; Richard Isaacson; Jyotishman Pathak; Yuan Luo 001 (AMIA, 2021)

Federated Learning for Healthcare Informatics. - Jie Xu 012; Benjamin S. Glicksberg; Chang Su 002; Peter B. Walker; Jiang Bian 001; Fei Wang 001 (J. Heal. Informatics Res., 2021)

Identification of Social and Racial Disparities in Risk of HIV Infection in Florida using Causal AI Methods. - Mattia Prosperi; Jie Xu 012; Jingchuan Serena Guo; Jiang Bian 001; Wei-Han William Chen; Shantrel Canidate; Simone Marini; Mo Wang (BIBM, 2022)

AD-BERT: Using Pre-trained contextualized embeddings to Predict the Progression from Mild Cognitive Impairment to Alzheimer's Disease. - Chengsheng Mao; Jie Xu 012; Luke V. Rasmussen; Yikuan Li; Prakash Adekkanattu; Jennifer A. Pacheco; Borna Bonakdarpour; Robert Vassar; Guoqian Jiang; Fei Wang 001; Jyotishman Pathak; Yuan Luo 001 (CoRR, 2022)

Design and validation of a FHIR-based EHR-driven phenotyping toolbox. - Pascal S. Brandt; Jennifer A. Pacheco; Prakash Adekkanattu; Evan Sholle; Sajjad Abedian; Daniel J. Stone; David Knaack; Jie Xu 012; Zhenxing Xu; Yifan Peng 002; Natalie C. Benda; Fei Wang 001; et al. (J. Am. Medical Informatics Assoc., 2022)

A(DP)22SGD: Asynchronous Decentralized Parallel Stochastic Gradient Descent With Differential Privacy. - Jie Xu 012; Wei Zhang; Fei Wang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Quantification of Racial Disparity on Urinary Tract Infection Recurrence and Treatment Resistance in Florida using Algorithmic Fairness Methods. - Inyoung Jun; Sarah E. S. Leary; Jie Xu 012; Jiang Bian 001; Mattia Prosperi (ICHI, 2023)

Towards clinical AI fairness: A translational perspective. - Mingxuan Liu; Yilin Ning; Salinelat Teixayavong; Mayli Mertens; Jie Xu 012; Daniel Shu Wei Ting; Lionel Tim-Ee Cheng; Jasmine Chiat Ling Ong; Zhen Ling Teo; Ting Fang Tan; Ravi Chandran Narrendar; Fei Wang 001; et al. (CoRR, 2023)

Assess the documentation of cognitive tests and biomarkers in electronic health records via natural language processing for Alzheimer's disease and related dementias. - Zhaoyi Chen; Hansi Zhang; Xi Yang 015; Songzi Wu; Xing He 003; Jie Xu 012; Jingchuan Guo; Mattia Prosperi; Fei Wang 001; Hua Xu 001; Yong Chen 016; Hui Hu; et al. (Int. J. Medical Informatics, 2023)

Classification of Benign and Malignant Renal Tumors Based on CT Scans and Clinical Data Using Machine Learning Methods. - Jie Xu 012; Xing He 003; Wei Shao; Jiang Bian 001; Russell Terry (Informatics, 2023)

A translational perspective towards clinical AI fairness. - Mingxuan Liu; Yilin Ning; Salinelat Teixayavong; Mayli Mertens; Jie Xu 012; Daniel Shu Wei Ting; Lionel Tim-Ee Cheng; Jasmine Chiat Ling Ong; Zhen Ling Teo; Ting Fang Tan; Ravi Chandran Narrendar; Fei Wang 001; et al. (npj Digit. Medicine, 2023)

AD-BERT: Using pre-trained language model to predict the progression from mild cognitive impairment to Alzheimer's disease. - Chengsheng Mao; Jie Xu 012; Luke V. Rasmussen; Yikuan Li; Prakash Adekkanattu; Jennifer A. Pacheco; Borna Bonakdarpour; Robert Vassar; Li Shen; Guoqian Jiang; Fei Wang 001; Jyotishman Pathak; et al. (J. Biomed. Informatics, 2023)

Towards Clinical AI Fairness: Filling Gaps in the Puzzle. - Mingxuan Liu; Yilin Ning; Salinelat Teixayavong; Xiaoxuan Liu; Mayli Mertens; Yuqing Shang; Xin Li 079; Di Miao; Jie Xu 012; Daniel Shu Wei Ting; Lionel Tim-Ee Cheng; Jasmine Chiat Ling Ong; et al. (CoRR, 2024)

GASA-UNet: Global Axial Self-Attention U-Net for 3D Medical Image Segmentation. - Chengkun Sun; Russell Stevens Terry; Jiang Bian 001; Jie Xu 012 (CoRR, 2024)

Identification of Parkinson's disease PACE subtypes and repurposing treatments through integrative analyses of multimodal data. - Chang Su 002; Yu Hou; Jielin Xu; Zhenxing Xu; Manqi Zhou; Alison Ke; Haoyang Li 001; Jie Xu 012; Matthew Brendel; Jacqueline R. M. A. Maasch; Zilong Bai; Haotan Zhang; et al. (npj Digit. Medicine, 2024)

Beyond Skip Connection: Pooling and Unpooling Design for Elimination Singularities. - Chengkun Sun; Jinqian Pan; Zhuoli Jin; Russell Stevens Terry; Jiang Bian 001; Jie Xu 012 (AAAI, 2025)

BGDB: Bernoulli-Gaussian Decision Block with Improved Denoising Diffusion Probabilistic Models. - Chengkun Sun; Jinqian Pan; Russell Stevens Terry; Jiang Bian 001; Jie Xu 012 (AAAI, 2025)

A scoping review and evidence gap analysis of clinical AI fairness. - Mingxuan Liu; Yilin Ning; Salinelat Teixayavong; Xiaoxuan Liu; Mayli Mertens; Yuqing Shang; Xin Li 079; Di Miao; Jingchi Liao; Jie Xu 012; Daniel Shu Wei Ting; Lionel Tim-Ee Cheng; et al. (npj Digit. Medicine, 2025)

Federated Causal Inference in Healthcare: Methods, Challenges, and Applications. - Haoyang Li 001; Jie Xu 012; Kyra Gan; Fei Wang 001; Chengxi Zang (CoRR, 2025)

A Clinically-Grounded Two-Stage Framework for Renal CT Report Generation. - Renjie Liang; Zhengkang Fan; Jinqian Pan; Chenkun Sun; Russell Terry; Jie Xu 012 (CoRR, 2025)