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ORCIDJie Xu 0012
Person information
- affiliation: Weill Cornell Medicine, Department of Population Health Sciences, New York, NY, USA
- affiliation (2016 - 2018): University of Pittsburgh, Electrical and Computer Engineering, Pittsburgh, PA, USA
- affiliation (PhD 2018): Xidian University, School of Electronic Engineering, Xi'an, China
Other persons with the same name
- Jie Xu — disambiguation page
- Jie Xu 0001
![[0000-0002-0515-1647]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-0515-1647")
— University of Miami, Department of Electrical and Computer Engineering, Miami, FL, USA (and 2 more) - Jie Xu 0002 — Chinese University of Hong Kong, School of Science and Engineering, Shenzhen, China (and 4 more)
- Jie Xu 0003 — Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, Beijing, China
- Jie Xu 0004 — George Mason University, Department of Systems Engineering and Operations Research, Fairfax, VA, USA (and 1 more)
- Jie Xu 0005 — Wuhan University, Ringgold Standard Institution, School of Information Management, China
- Jie Xu 0006 — Hubei University, Faculty of Computer Science and Information Engineering, Wuhan, China (and 1 more)
- Jie Xu 0007 — University of Leeds, School of Computing, UK (and 1 more)
- Jie Xu 0008 — University of Technology Sydney, Faculty of Engineering and IT, Ultimo, Australia (and 1 more)
- Jie Xu 0009 — Tsinghua University, Research Institute of Information Technology, Beijing, China
- Jie Xu 0010 — Capital Medical University, Beijing Tongren Hosptial, Beijing Tongren Eye Center, China
- Jie Xu 0011 — Northwestern University, Feinberg School of Medicine, Chicago, IL, USA (and 1 more)
- Jie Xu 0013 — Huazhong University of Science and Technology, Key Laboratory of Information Storage System, China
- Jie Xu 0014 — Jiangsu Police Institute, Department of Computer Information and Network Security, Nanjing, China (and 1 more)
- Jie Xu 0015 — Beihang University, School of Computer Science and Engineering, State Key Laboratory of Software Development Environment, Beijing, China
- Jie Xu 0016 — University of Waterloo, School of Computer Science, Waterloo, Canada (and 1 more)
- Jie Xu 0017 — Anhui Polytechnic University, Department of Electronic Engineering, Key Laboratory of Advanced Perception and Intelligent Control of High-End Equipment, Wuhu, China
- Jie Xu 0018 — Boston University, Department of Mathematics and Statistics, Boston, MA, USA
- Jie Xu 0019 — Anhui Technical College of Industry and Economy, Hefei, China
- Jie Xu 0020 — University of Manchester, Department of Computer Science, Manchester, UK
- Jie Xu 0021 — Nanjing University of Science and Technology, School of Computer Science and Engineering, PCA Laboratory, Nanjing, China
- Jie Xu 0022 — Guangdong University of Technology, School of Automation, Guangzhou, China (and 2 more)
- Jie Xu 0023 — University of Electronic Science and Technology of China, School of Information and Communication Engineering, Chengdu, China (and 1 more)
- Jie Xu 0024 — Chinese Academy of Sciences, Suzhou Institute of Biomedical Engineering and Technology, Medical Ultrasound Department, Suzhou, China (and 1 more)
- Jie Xu 0025 — Chinese Academy of Sciences, Xinjiang Institute of Ecology and Geography, State Key Laboratory of Desert and Oasis Ecology, Urumqi, China
- Jie Xu 0026 — Chinese Academy of Sciences, Guangzhou Institute of Advanced Technology, Guangzhou, China
- Jie Xu 0027 — Beijing Jiaotong University, State Key Laboratory of Rail Traffic Control and Safety, Beijing, China
- Jie Xu 0028 — Massachusetts Institute of Technology, CSAIL, Computational Design and Fabrication Group (CDFG), Cambridge, MA, USA
- Jie Xu 0029 — Anhui University, School of Electronics and Information Engineering, Key Laboratory of Intelligent Computing and Signal Processing, Hefei, China
- Jie Xu 0030 — University of Western Ontario, Department of Electrical and Computer Engineering, London, Canada
- Jie Xu 0031 — City University of Hong Kong, Department of Computer Science, Hong Kong (and 1 more)
- Jie Xu 0032 — University of Mining and Technology, School of Information and Control Engineering, Xuzhou, China
- Jie Xu 0033 — Chinese Academy of Sciences, Academy of Mathematics and Systems Science, Institute of Computational Mathematics and Scientific/Engineering Computing, Beijing, China (and 2 more)
- Jie Xu 0034 — National University of Singapore, Department of Chinese Studies, Singapore
- Jie Xu 0035 — University of Florida, Department of Electrical and Computer Engineering, Gainesville, FL, USA
- Jie Xu 0036 — Norwegian University of Science and Technology, Centre for Quantifiable Quality of Service in Communication Systems, Trondheim, Norway (and 1 more)
- Jie Xu 0037 — Nanjing Normal University, College of Geographic Science, Key Laboratory of Virtual Geographic Environment, Nanjing, China
- Jie Xu 0038 — Beijing University of Posts and Telecommunications, School of Cyberspace Security, National Engineering Laboratory for Mobile Network Security, Beijing, China (and 1 more)
- Jie Xu 0039 — Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, Beijing, China (and 1 more)
- Jie Xu 0040 — Beijing University of Posts and Telecommunications, Key Lab of Universal Wireless Communication, Beijing, China
- Jie Xu 0041 — South China University of Technology, School of Electronic and Information Engineering, Guangzhou, China
- Jie Xu 0042 — University of Pittsburgh, Department of Computer Science, Advanced Data Management Technologies Laboratory, Pittsburgh, PA, USA
- Jie Xu 0043 — Nanjing University of Posts and Telecommunications, College of Electronic and Optical Engineering & College of Microelectronics, Nanjing, China
- Jie Xu 0044 — University of Electronic Science and Technology of China, School of Computer Science and Engineering, Chengdu, China
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Journal Articles
- 2024
[j10]Chang Su, Yu Hou, Jielin Xu, Zhenxing Xu, Manqi Zhou, Alison Ke, Haoyang Li, Jie Xu, Matthew Brendel, Jacqueline R. M. A. Maasch, Zilong Bai, Haotan Zhang, Yingying Zhu, Molly C. Cincotta, Xinghua Shi, Claire Henchcliffe, James B. Leverenz, Jeffrey Cummings, Michael S. Okun, Jiang Bian, Feixiong Cheng, Fei Wang:
Identification of Parkinson's disease PACE subtypes and repurposing treatments through integrative analyses of multimodal data. npj Digit. Medicine 7(1) (2024)- 2023
- [j9]Zhaoyi Chen, Hansi Zhang, Xi Yang, Songzi Wu, Xing He, Jie Xu, Jingchuan Guo, Mattia Prosperi, Fei Wang, Hua Xu, Yong Chen, Hui Hu, Steven DeKosky, Matthew Farrer, Yi Guo, Yonghui Wu, Jiang Bian:
Assess the documentation of cognitive tests and biomarkers in electronic health records via natural language processing for Alzheimer's disease and related dementias. Int. J. Medical Informatics 170: 104973 (2023) - [j8]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): 55 (2023) - [j7]Chengsheng Mao, Jie Xu, Luke V. Rasmussen, Yikuan Li, Prakash Adekkanattu, Jennifer A. Pacheco, Borna Bonakdarpour, Robert Vassar, Li Shen, Guoqian Jiang, Fei Wang, Jyotishman Pathak, Yuan Luo:
AD-BERT: Using pre-trained language model to predict the progression from mild cognitive impairment to Alzheimer's disease. J. Biomed. Informatics 144: 104442 (2023) - [j6]Mingxuan Liu, Yilin Ning, Salinelat Teixayavong, Mayli Mertens, Jie Xu, Daniel Shu Wei Ting, Lionel Tim-Ee Cheng, Jasmine Chiat Ling Ong, Zhen Ling Teo, Ting Fang Tan, Ravi Chandran Narrendar, Fei Wang, Leo Anthony Celi, Marcus Eng Hock Ong, Nan Liu:
A translational perspective towards clinical AI fairness. npj Digit. Medicine 6 (2023) - 2022
- [j5]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): 1449-1460 (2022) - [j4]Jie Xu, Wei Zhang, Fei Wang:
A(DP)22SGD: Asynchronous Decentralized Parallel Stochastic Gradient Descent With Differential Privacy. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8036-8047 (2022) - 2021
- [j3]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): 1-19 (2021) - 2018
- [j2]Xinxia Fan, Yanhua Yang, Cheng Deng, Jie Xu, Xinbo Gao:
Compressed multi-scale feature fusion network for single image super-resolution. Signal Process. 146: 50-60 (2018) - 2016
- [j1]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): 2472-2485 (2016)
Conference and Workshop Papers
- 2025
- [c21]Chengkun Sun, Jinqian Pan, Zhuoli Jin, Russell Stevens Terry, Jiang Bian, Jie Xu:
Beyond Skip Connection: Pooling and Unpooling Design for Elimination Singularities. AAAI 2025: 20672-20680 - [c20]Chengkun Sun, Jinqian Pan, Russell Stevens Terry, Jiang Bian, Jie Xu:
BGDB: Bernoulli-Gaussian Decision Block with Improved Denoising Diffusion Probabilistic Models. AAAI 2025: 20681-20689 - 2023
- [c19]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: 261-267 - 2022
- [c18]Mattia 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: 2934-2939 - 2021
- [c17]Prakash Adekkanattu, Jennifer A. Pacheco, Joseph Kabariti, Daniel J. Stone, Yue Yu, Parag Goyal, Faraz S. Ahmad, Guoqian Jiang, Yuan Luo, Luke V. Rasmussen, Pascal S. Brandt, Zhenxing Xu, Jie Xu, Fei Wang, Natalie C. Benda, Thomas R. Campion Jr., Jyotishman Pathak:
Multi-site Evaluation of Longitudinal Changes in Ejection Fraction in Heart Failure Patients Through Data-driven Phenotyping. AMIA 2021 - [c16]Chengsheng Mao, Jie Xu, Luke V. Rasmussen, Jennifer A. Pacheco, Guoqian Jiang, Fei Wang, Richard Isaacson, Jyotishman Pathak, Yuan Luo:
A Deep Learning Framework Using a Pre-trained BERT Model to Predict the Risk of Progression from Mild Cognitive Impairment to Alzheimer's Disease. AMIA 2021 - 2020
- [c15]Jie Xu, Zhenxing Xu, Peter B. Walker, Fei Wang:
Federated Patient Hashing. AAAI 2020: 6486-6493 - [c14]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 - [c13]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 - [c12]Jie Xu, Zhenxing Xu, Bin Yu, Fei Wang:
Order-Preserving Metric Learning for Mining Multivariate Time Series. ICDM 2020: 711-720 - 2019
- [c11]Lei Luo, Jie Xu, Cheng Deng, Heng Huang:
Orthogonality-Promoting Dictionary Learning via Bayesian Inference. AAAI 2019: 4472-4479 - [c10]Lei Luo, Jie Xu, Cheng Deng, Heng Huang:
Robust Metric Learning on Grassmann Manifolds with Generalization Guarantees. AAAI 2019: 4480-4487 - 2018
- [c9]Jie Xu, Lei Luo, Cheng Deng, Heng Huang:
Multi-Level Metric Learning via Smoothed Wasserstein Distance. IJCAI 2018: 2919-2925 - [c8]Jie Xu, Lei Luo, Cheng Deng, Heng Huang:
New Robust Metric Learning Model Using Maximum Correntropy Criterion. KDD 2018: 2555-2564 - [c7]Jie Xu, Lei Luo, Cheng Deng, Heng Huang:
Bilevel Distance Metric Learning for Robust Image Recognition. NeurIPS 2018: 4202-4211 - 2017
- [c6]Jie Xu, Xianglong Liu, Zhouyuan Huo, Cheng Deng, Feiping Nie, Heng Huang:
Multi-Class Support Vector Machine via Maximizing Multi-Class Margins. IJCAI 2017: 3154-3160 - [c5]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: 3880-3886 - 2015
- [c4]Songhang Ye, Cheng Deng, Jie Xu, Xinbo Gao:
Coupled fisher discrimination dictionary learning for single image super-resolution. ICASSP 2015: 1196-1200 - 2014
- [c3]Jie Xu, Cheng Deng, Xinbo Gao, Dacheng Tao, Xuelong Li:
Image super-resolution using multi-layer support vector regression. ICASSP 2014: 5799-5803 - [c2]Jie Xu, Cheng Deng, Xianglong Liu, Jie Li:
Image Super-resolution Based on Sparse Representation With Joint Constraints. ICIMCS 2014: 381 - 2013
- [c1]Fang Xie, Cheng Deng, Jie Xu, Jifei Yu, Jie Li:
Image super resolution using Gaussian Process Regression with patch clustering. ICIMCS 2013: 109-112
Informal and Other Publications
- 2024
- [i8]Mingxuan Liu, Yilin Ning, Salinelat Teixayavong, Xiaoxuan Liu, Mayli Mertens, Yuqing Shang, Xin Li, Di Miao, Jie Xu, Daniel Shu Wei Ting, Lionel Tim-Ee Cheng, Jasmine Chiat Ling Ong, Zhen Ling Teo, Ting Fang Tan, Narrendar RaviChandran, Fei Wang, Leo Anthony Celi, Marcus Eng Hock Ong, Nan Liu:
Towards Clinical AI Fairness: Filling Gaps in the Puzzle. CoRR abs/2405.17921 (2024) - [i7]Chengkun Sun, Jinqian Pan, Russell Stevens Terry, Jiang Bian, Jie Xu:
BGDB: Bernoulli-Gaussian Decision Block with Improved Denoising Diffusion Probabilistic Models. CoRR abs/2409.13116 (2024) - [i6]Chengkun Sun, Russell Stevens Terry, Jiang Bian, Jie Xu:
GASA-UNet: Global Axial Self-Attention U-Net for 3D Medical Image Segmentation. CoRR abs/2409.13146 (2024) - [i5]Chengkun Sun, Jinqian Pan, Zhuoli Jin, Russell Stevens Terry, Jiang Bian, Jie Xu:
Beyond Skip Connection: Pooling and Unpooling Design for Elimination Singularities. CoRR abs/2409.13154 (2024) - 2023
- [i4]Mingxuan Liu, Yilin Ning, Salinelat Teixayavong, Mayli Mertens, Jie Xu, Daniel Shu Wei Ting, Lionel Tim-Ee Cheng, Jasmine Chiat Ling Ong, Zhen Ling Teo, Ting Fang Tan, Ravi Chandran Narrendar, Fei Wang, Leo Anthony Celi, Marcus Eng Hock Ong, Nan Liu:
Towards clinical AI fairness: A translational perspective. CoRR abs/2304.13493 (2023) - 2022
- [i3]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 abs/2212.06042 (2022) - 2020
- [i2]Jie Xu, Wei Zhang, Fei Wang:
A(DP)2SGD: Asynchronous Decentralized Parallel Stochastic Gradient Descent with Differential Privacy. CoRR abs/2008.09246 (2020) - 2019
- [i1]Jie Xu, Fei Wang:
Federated Learning for Healthcare Informatics. CoRR abs/1911.06270 (2019)
Coauthor Index
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