Minxue Tang

Minxue Tang

Duke University

H-index: 6

North America-United States

About Minxue Tang

Minxue Tang, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at Duke University, specializes in the field of Machine Learning, Deep Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Fed-cbs: A heterogeneity-aware client sampling mechanism for federated learning via class-imbalance reduction

Towards collaborative intelligence: Routability estimation based on decentralized private data

An Audio Frequency Unfolding Framework for Ultra-Low Sampling Rate Sensors

FedCor: Correlation-based active client selection strategy for heterogeneous federated learning

Next Generation Federated Learning for Edge Devices: An Overview

FADE: enabling large-scale federated adversarial training on resource-constrained edge devices

FADE: Enabling Federated Adversarial Training on Heterogeneous Resource-Constrained Edge Devices

FedGP: Correlation-based active client selection strategy for heterogeneous federated learning

Minxue Tang Information

University

Position

___

Citations(all)

212

Citations(since 2020)

212

Cited By

17

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

5

i10Index(since 2020)

5

Email

University Profile Page

Duke University

Google Scholar

View Google Scholar Profile

Minxue Tang Skills & Research Interests

Machine Learning

Deep Learning

Top articles of Minxue Tang

Title

Journal

Author(s)

Publication Date

Fed-cbs: A heterogeneity-aware client sampling mechanism for federated learning via class-imbalance reduction

Jianyi Zhang

Ang Li

Minxue Tang

Jingwei Sun

Xiang Chen

...

2023/7/3

Towards collaborative intelligence: Routability estimation based on decentralized private data

Jingyu Pan

Chen-Chia Chang

Zhiyao Xie

Ang Li

Minxue Tang

...

2022/7/10

An Audio Frequency Unfolding Framework for Ultra-Low Sampling Rate Sensors

Zhihui Gao

Minxue Tang

Ang Li

Yiran Chen

2022/4/6

FedCor: Correlation-based active client selection strategy for heterogeneous federated learning

Minxue Tang

Xuefei Ning

Yitu Wang

Jingwei Sun

Yu Wang

...

2022

Next Generation Federated Learning for Edge Devices: An Overview

Jianyi Zhang

Zhixu Du

Jingwei Sun

Ang Li

Minxue Tang

...

2022/12/14

FADE: enabling large-scale federated adversarial training on resource-constrained edge devices

Minxue Tang

Jianyi Zhang

Mingyuan Ma

Louis DiValentin

Aolin Ding

...

2022/9/29

FADE: Enabling Federated Adversarial Training on Heterogeneous Resource-Constrained Edge Devices

arXiv preprint arXiv:2209.03839

Minxue Tang

Jianyi Zhang

Mingyuan Ma

Louis DiValentin

Aolin Ding

...

2022/9/8

FedGP: Correlation-based active client selection strategy for heterogeneous federated learning

arXiv preprint arXiv:2103.13822

Minxue Tang

Xuefei Ning

Yitu Wang

Yu Wang

Yiran Chen

2021/3

Learning low-rank deep neural networks via singular vector orthogonality regularization and singular value sparsification

Huanrui Yang

Minxue Tang

Wei Wen

Feng Yan

Daniel Hu

...

2020

See List of Professors in Minxue Tang University(Duke University)