Search Results for author: Xi Sheryl Zhang

Found 9 papers, 7 papers with code

Differentially Private Federated Learning with Local Regularization and Sparsification

no code implementations CVPR 2022 Anda Cheng, Peisong Wang, Xi Sheryl Zhang, Jian Cheng

User-level differential privacy (DP) provides certifiable privacy guarantees to the information that is specific to any user's data in federated learning.

Federated Learning

APRIL: Finding the Achilles' Heel on Privacy for Vision Transformers

1 code implementation CVPR 2022 Jiahao Lu, Xi Sheryl Zhang, Tianli Zhao, Xiangyu He, Jian Cheng

Showing how vision Transformers are at the risk of privacy leakage via gradients, we urge the significance of designing privacy-safer Transformer models and defending schemes.

Federated Learning

DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy

1 code implementation16 Oct 2021 Anda Cheng, Jiaxing Wang, Xi Sheryl Zhang, Qiang Chen, Peisong Wang, Jian Cheng

In light of this missing, we propose the very first framework that employs neural architecture search to automatic model design for private deep learning, dubbed as DPNAS.

Neural Architecture Search

Joint Channel and Weight Pruning for Model Acceleration on Moblie Devices

1 code implementation15 Oct 2021 Tianli Zhao, Xi Sheryl Zhang, Wentao Zhu, Jiaxing Wang, Sen yang, Ji Liu, Jian Cheng

In this paper, we present a unified framework with Joint Channel pruning and Weight pruning (JCW), and achieves a better Pareto-frontier between the latency and accuracy than previous model compression approaches.

Model Compression

MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records

1 code implementation8 May 2019 Xi Sheryl Zhang, Fengyi Tang, Hiroko Dodge, Jiayu Zhou, Fei Wang

In this paper, we propose MetaPred, a meta-learning for clinical risk prediction from longitudinal patient EHRs.


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

no code implementations10 Apr 2019 Zhen-Xing 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

Sub-phenotype III is with average age 65. 07$ \pm 11. 32 $ years, and was characterized moderate loss of kidney excretory function and thus more likely to develop stage II AKI (SCr $1. 69\pm 0. 32$ mg/dL, eGFR $93. 97\pm 56. 53$ mL/min/1. 73$m^2$).

Integrative Analysis of Patient Health Records and Neuroimages via Memory-based Graph Convolutional Network

1 code implementation17 Sep 2018 Xi Sheryl Zhang, Jingyuan Chou, Fei Wang

For complicated diseases such as Parkinson's and Alzheimer's, both EHR and neuroimaging information are very important for disease understanding because they contain complementary aspects of the disease.

General Classification

A Multi-View Ensemble Classification Model for Clinically Actionable Genetic Mutations

2 code implementations26 Jun 2018 Xi Sheryl Zhang, Dandi Chen, Yongjun Zhu, Chao Che, Chang Su, Sendong Zhao, Xu Min, Fei Wang

This paper presents details of our winning solutions to the task IV of NIPS 2017 Competition Track entitled Classifying Clinically Actionable Genetic Mutations.

BIG-bench Machine Learning General Classification

Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease

1 code implementation22 May 2018 Xi Sheryl Zhang, Lifang He, Kun Chen, Yuan Luo, Jiayu Zhou, Fei Wang

Parkinson's Disease (PD) is one of the most prevalent neurodegenerative diseases that affects tens of millions of Americans.

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