ANG LI

ANG LI

Duke University

H-index: 17

North America-United States

About ANG LI

ANG LI, With an exceptional h-index of 17 and a recent h-index of 16 (since 2020), a distinguished researcher at Duke University, specializes in the field of Federated Learning, Mobile Computing, Security and Privacy.

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

Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting

FedNAR: Federated Optimization with Normalized Annealing Regularization

3D Masked Autoencoding and Pseudo-labeling for Domain Adaptive Segmentation of Heterogeneous Infant Brain MRI

SiDA: Sparsity-Inspired Data-Aware Serving for Efficient and Scalable Large Mixture-of-Experts Models

Interpreting disparate privacy-utility tradeoff in adversarial learning via attribute correlation

FedHyper: A Universal and Robust Learning Rate Scheduler for Federated Learning with Hypergradient Descent

Autofed: Heterogeneity-aware federated multimodal learning for robust autonomous driving

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

ANG LI Information

University

Position

PhD Department of Electrical and Computer Engineering

Citations(all)

1187

Citations(since 2020)

1161

Cited By

130

hIndex(all)

17

hIndex(since 2020)

16

i10Index(all)

26

i10Index(since 2020)

25

Email

University Profile Page

Duke University

Google Scholar

View Google Scholar Profile

ANG LI Skills & Research Interests

Federated Learning

Mobile Computing

Security and Privacy

Top articles of ANG LI

Title

Journal

Author(s)

Publication Date

Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting

arXiv preprint arXiv:2402.15070

Rong Dai

Yonggang Zhang

Ang Li

Tongliang Liu

Xun Yang

...

2024/2/23

FedNAR: Federated Optimization with Normalized Annealing Regularization

Advances in Neural Information Processing Systems

Junbo Li

Ang Li

Chong Tian

Qirong Ho

Eric Xing

...

2024/2/13

3D Masked Autoencoding and Pseudo-labeling for Domain Adaptive Segmentation of Heterogeneous Infant Brain MRI

arXiv preprint arXiv:2303.09373

Xuzhe Zhang

Yuhao Wu

Jia Guo

Jerod M Rasmussen

Thomas G O'Connor

...

2023/3/16

SiDA: Sparsity-Inspired Data-Aware Serving for Efficient and Scalable Large Mixture-of-Experts Models

arXiv preprint arXiv:2310.18859

Zhixu Du

Shiyu Li

Yuhao Wu

Xiangyu Jiang

Jingwei Sun

...

2023/10/29

Interpreting disparate privacy-utility tradeoff in adversarial learning via attribute correlation

Likun Zhang

Yahong Chen

Ang Li

Binghui Wang

Yiran Chen

...

2023

FedHyper: A Universal and Robust Learning Rate Scheduler for Federated Learning with Hypergradient Descent

Ziyao Wang

Jianyu Wang

Ang Li

2023/10/4

Autofed: Heterogeneity-aware federated multimodal learning for robust autonomous driving

Tianyue Zheng

Ang Li

Zhe Chen

Hongbo Wang

Jun Luo

2023/10/6

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

FedHC: A Scalable Federated Learning Framework for Heterogeneous and Resource-Constrained Clients

arXiv preprint arXiv:2305.15668

Min Zhang

Fuxun Yu

Yongbo Yu

Minjia Zhang

Ang Li

...

2023/5/25

Powering multi-task federated learning with competitive gpu resource sharing

Yongbo Yu

Fuxun Yu

Zirui Xu

Di Wang

Minjia Zhang

...

2022/4/25

More Generalized and Personalized Unsupervised Representation Learning In A Distributed System

arXiv preprint arXiv:2211.06470

Yuewei Yang

Jingwei Sun

Ang Li

Hai Li

Yiran Chen

2022/11/11

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

Zhihui Gao

Minxue Tang

Ang Li

Yiran Chen

2022/4/6

FedSEA: a semi-asynchronous federated learning framework for extremely heterogeneous devices

Jingwei Sun

Ang Li

Lin Duan

Samiul Alam

Xuliang Deng

...

2022/11/6

SmartCircles: A Benefit-Evaluation-Based Privacy Policy Recommender for Customized Photo Sharing

Haiyang Luo

Zhe Sun

Yunqing Sun

Ang Li

Binghui Wang

...

2022/12/15

Enable Intelligence on Billion Devices with Deep Learning

Ang Li

2022

Toward Efficient and Adaptive Design of Video Detection System with Deep Neural Networks

ACM Transactions on Embedded Computing Systems (TECS)

Jiachen Mao

Qing Yang

Ang Li

Kent W Nixon

Hai Li

...

2022/7/19

Next Generation Federated Learning for Edge Devices: An Overview

Jianyi Zhang

Zhixu Du

Jingwei Sun

Ang Li

Minxue Tang

...

2022/12/14

Towards collaborative intelligence: Routability estimation based on decentralized private data

Jingyu Pan

Chen-Chia Chang

Zhiyao Xie

Ang Li

Minxue Tang

...

2022/7/10

Rethinking normalization methods in federated learning

Zhixu Du

Jingwei Sun

Ang Li

Pin-Yu Chen

Jianyi Zhang

...

2022/12/9

Mom: Microphone based 3d orientation measurement

Zhihui Gao

Ang Li

Dong Li

Jialin Liu

Jie Xiong

...

2022

See List of Professors in ANG LI University(Duke University)

Co-Authors

H-index: 114
Eric Xing

Eric Xing

Carnegie Mellon University

H-index: 88
Guohong Cao

Guohong Cao

Penn State University

H-index: 83
Yiran Chen

Yiran Chen

Duke University

H-index: 64
Yu Wang (汪玉)

Yu Wang (汪玉)

Tsinghua University

H-index: 64
Suman Banerjee

Suman Banerjee

University of Wisconsin-Madison

H-index: 38
Mi Zhang

Mi Zhang

Michigan State University

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