Jiaming Xu

Jiaming Xu

Duke University

H-index: 34

North America-United States

About Jiaming Xu

Jiaming Xu, With an exceptional h-index of 34 and a recent h-index of 27 (since 2020), a distinguished researcher at Duke University, specializes in the field of Network science, high-dimensional statistical inference, optimization, information theory, communications and networking.

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

Sharp Information-Theoretic Thresholds for Shuffled Linear Regression

Finding the Best Arm Privately in Unimodal Bandits

Overparametrized Multi-layer Neural Networks: Uniform Concentration of Neural Tangent Kernel and Convergence of Stochastic Gradient Descent

Random graph matching at Otter’s threshold via counting chandeliers

Spectral graph matching and regularized quadratic relaxations I algorithm and Gaussian analysis

A Non-parametric View of FedAvg and FedProx: Beyond Stationary Points

The planted matching problem: Sharp threshold and infinite-order phase transition

Statistical inference on graphs: Selected Topics

Jiaming Xu Information

University

Position

The Fuqua School of Business

Citations(all)

3696

Citations(since 2020)

2586

Cited By

2142

hIndex(all)

34

hIndex(since 2020)

27

i10Index(all)

57

i10Index(since 2020)

50

Email

University Profile Page

Duke University

Google Scholar

View Google Scholar Profile

Jiaming Xu Skills & Research Interests

Network science

high-dimensional statistical inference

optimization

information theory

communications and networking

Top articles of Jiaming Xu

Title

Journal

Author(s)

Publication Date

Sharp Information-Theoretic Thresholds for Shuffled Linear Regression

arXiv preprint arXiv:2402.09693

Leon Lufkin

Yihong Wu

Jiaming Xu

2024/2/15

Finding the Best Arm Privately in Unimodal Bandits

Available at SSRN 4729530

Irem Nur Keskin

Jiaming Xu

2024/2/16

Overparametrized Multi-layer Neural Networks: Uniform Concentration of Neural Tangent Kernel and Convergence of Stochastic Gradient Descent

Journal of Machine Learning Research

Jiaming Xu

Hanjing Zhu

2024

Random graph matching at Otter’s threshold via counting chandeliers

Cheng Mao

Yihong Wu

Jiaming Xu

Sophie H Yu

2023/6/2

Spectral graph matching and regularized quadratic relaxations I algorithm and Gaussian analysis

Foundations of Computational Mathematics

Zhou Fan

Cheng Mao

Yihong Wu

Jiaming Xu

2023/10

A Non-parametric View of FedAvg and FedProx: Beyond Stationary Points

Journal of Machine Learning Research

Lili Su

Jiaming Xu

Pengkun Yang

2023

The planted matching problem: Sharp threshold and infinite-order phase transition

Probability Theory and Related Fields

Jian Ding

Yihong Wu

Jiaming Xu

Dana Yang

2023/10

Statistical inference on graphs: Selected Topics

Yihong Wu

Jiaming Xu

2023

Testing correlation of unlabeled random graphs

The Annals of Applied Probability

Yihong Wu

Jiaming Xu

Sophie H Yu

2023/8

SeedGNN: graph neural network for supervised seeded graph matching

Liren Yu

Jiaming Xu

Xiaojun Lin

2023/7/3

Constant regret primal-dual policy for multi-way dynamic matching

Yehua Wei

Jiaming Xu

Sophie H Yu

2023/6/19

Learner-Private Convex Optimization

IEEE Transactions on Information Theory

Jiaming Xu

Kuang Xu

Dana Yang

2022/9/5

Random graph matching in geometric models: the case of complete graphs

Haoyu Wang

Yihong Wu

Jiaming Xu

Israel Yolou

2022/6/28

Settling the sharp reconstruction thresholds of random graph matching

IEEE Transactions on Information Theory

Yihong Wu

Jiaming Xu

H Yu Sophie

2022/4/20

Integrated online learning and adaptive control in queueing systems with uncertain payoffs

Operations Research

Wei-Kang Hsu

Jiaming Xu

Xiaojun Lin

Mark R Bell

2022/3

Global convergence of federated learning for mixed regression

Advances in Neural Information Processing Systems

Lili Su

Jiaming Xu

Pengkun Yang

2022/12/6

RandomGraphMatchinginGeometricModels: theCaseofComplete Graphs

Conference on learning theory

Haoyu Wang

Yihong Wu

Jiaming Xu

Israel Yolou

2022/1

Learning in Networks: Performance Limits and Algorithms

Bruce Hajek

Yihong Wu

Jiaming Xu

2022/11/13

Efficient random graph matching via degree profiles

Probability Theory and Related Fields

Jian Ding

Zongming Ma

Yihong Wu

Jiaming Xu

2021/2

Testing network correlation efficiently via counting trees

arXiv preprint arXiv:2110.11816

Cheng Mao

Yihong Wu

Jiaming Xu

Sophie H Yu

2021/10/22

See List of Professors in Jiaming Xu University(Duke University)

Co-Authors

H-index: 82
R. Srikant

R. Srikant

University of Illinois at Urbana-Champaign

H-index: 69
Syed A. Jafar

Syed A. Jafar

University of California, Irvine

H-index: 60
Florent Krzakala

Florent Krzakala

École Polytechnique Fédérale de Lausanne

H-index: 60
Elchanan Mossel

Elchanan Mossel

Massachusetts Institute of Technology

H-index: 55
Lenka Zdeborova

Lenka Zdeborova

École Polytechnique Fédérale de Lausanne

H-index: 52
Roman Vershynin

Roman Vershynin

University of California, Irvine

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