Xinwei Zhang | DeepAI

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Featured Co-authors

Yang Liu
344 publications
Jie Chen
218 publications
Qiang Yang
103 publications
Han Yu
94 publications
Zhiwei Steven Wu
90 publications
Yao Wang
89 publications
Chen Zhao
78 publications
Mingyi Hong
67 publications
Wotao Yin
63 publications
Tianyi Chen
60 publications
Jinfeng Yi
54 publications

∙ 09/15/2023

A new method of modeling the multi-stage decision-making process of CRT using machine learning with uncertainty quantification

Aims. The purpose of this study is to create a multi-stage machine learn...

0 Kristoffer Larsen, et al. ∙

∙ 06/02/2023

A new method using deep transfer learning on ECG to predict the response to cardiac resynchronization therapy

Background: Cardiac resynchronization therapy (CRT) has emerged as an ef...

0 Zhuo He, et al. ∙

∙ 05/04/2023

A new method using deep learning to predict the response to cardiac resynchronization therapy

Background. Clinical parameters measured from gated single-photon emissi...

0 Kristoffer Larsena, et al. ∙

∙ 04/21/2023

Persistently Trained, Diffusion-assisted Energy-based Models

Maximum likelihood (ML) learning for energy-based models (EBMs) is chall...

0 Xinwei Zhang, et al. ∙

∙ 03/16/2023

GLASU: A Communication-Efficient Algorithm for Federated Learning with Vertically Distributed Graph Data

Vertical federated learning (VFL) is a distributed learning paradigm, wh...

0 Xinwei Zhang, et al. ∙

∙ 11/06/2022

Enabling Deep Learning-based Physical-layer Secret Key Generation for FDD-OFDM Systems in Multi-Environments

Deep learning-based physical-layer secret key generation (PKG) has been ...

0 Xinwei Zhang, et al. ∙

∙ 07/17/2022

Automatic Context Pattern Generation for Entity Set Expansion

Entity Set Expansion (ESE) is a valuable task that aims to find entities...

0 Yinghui Li, et al. ∙

∙ 04/27/2022

Understanding A Class of Decentralized and Federated Optimization Algorithms: A Multi-Rate Feedback Control Perspective

Distributed algorithms have been playing an increasingly important role ...

0 Xinwei Zhang, et al. ∙

∙ 06/25/2021

Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy

Providing privacy protection has been one of the primary motivations of ...

0 Xinwei Zhang, et al. ∙

∙ 06/01/2021

A method using deep learning to discover new predictors of CRT response from mechanical dyssynchrony on gated SPECT MPI

Background. Studies have shown that the conventional left ventricular me...

0 Zhuo He, et al. ∙

∙ 05/18/2021

Deep Learning-based Physical-Layer Secret Key Generation for FDD Systems

Physical-layer key generation (PKG) establishes cryptographic keys from ...

0 Xinwei Zhang, et al. ∙

∙ 12/22/2020

Hybrid Federated Learning: Algorithms and Implementation

Federated learning (FL) is a recently proposed distributed machine learn...

32 Xinwei Zhang, et al. ∙

∙ 06/15/2020

Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention

prevention of stroke with its associated risk factors has been one of th...

0 Ce Ju, et al. ∙

∙ 05/22/2020

FedPD: A Federated Learning Framework with Optimal Rates and Adaptivity to Non-IID Data

Federated Learning (FL) has become a popular paradigm for learning from ...

8 Xinwei Zhang, et al. ∙

∙ 05/17/2020

On loss functions and regret bounds for multi-category classification

We develop new approaches in multi-class settings for constructing prope...

0 Zhiqiang Tan, et al. ∙

∙ 01/14/2020

Distributed Learning in the Non-Convex World: From Batch to Streaming Data, and Beyond

Distributed learning has become a critical enabler of the massively conn...

0 Tsung-Hui Chang, et al. ∙

∙ 12/24/2019

A Communication Efficient Vertical Federated Learning Framework

One critical challenge for applying today's Artificial Intelligence (AI)...

23 Yang Liu, et al. ∙

∙ 06/19/2019

Semi-supervised Logistic Learning Based on Exponential Tilt Mixture Models

Consider semi-supervised learning for classification, where both labeled...

0 Xinwei Zhang, et al. ∙

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