Mingyi Hong

Mingyi Hong

University of Minnesota-Twin Cities

H-index: 58

North America-United States

About Mingyi Hong

Mingyi Hong, With an exceptional h-index of 58 and a recent h-index of 51 (since 2020), a distinguished researcher at University of Minnesota-Twin Cities, specializes in the field of Machine Learning, Optimization, Foundation Models, Signal processing.

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

Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark

EMC: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence

RAW: A Robust and Agile Plug-and-Play Watermark Framework for AI-Generated Images with Provable Guarantees

Privacy-preserving federated learning: algorithms and guarantees

Problem-Parameter-Free Decentralized Nonconvex Stochastic Optimization

A Smoothed Bregman Proximal Gradient Algorithm for Decentralized Nonconvex Optimization

A survey of advances in optimization methods for wireless communication system design

Pre-training Differentially Private Models with Limited Public Data

Mingyi Hong Information

University

Position

Associate Professor

Citations(all)

14933

Citations(since 2020)

11217

Cited By

7787

hIndex(all)

58

hIndex(since 2020)

51

i10Index(all)

139

i10Index(since 2020)

121

Email

University Profile Page

University of Minnesota-Twin Cities

Google Scholar

View Google Scholar Profile

Mingyi Hong Skills & Research Interests

Machine Learning

Optimization

Foundation Models

Signal processing

Top articles of Mingyi Hong

Title

Journal

Author(s)

Publication Date

Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark

arXiv preprint arXiv:2402.11592

Yihua Zhang

Pingzhi Li

Junyuan Hong

Jiaxiang Li

Yimeng Zhang

...

2024/2/18

EMC: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence

arXiv preprint arXiv:2404.10575

Chung-Yiu Yau

Hoi-To Wai

Parameswaran Raman

Soumajyoti Sarkar

Mingyi Hong

2024/4/16

RAW: A Robust and Agile Plug-and-Play Watermark Framework for AI-Generated Images with Provable Guarantees

arXiv preprint arXiv:2403.18774

Xun Xian

Ganghua Wang

Xuan Bi

Jayanth Srinivasa

Ashish Kundu

...

2024/1/23

Privacy-preserving federated learning: algorithms and guarantees

Xinwei Zhang

Xiangyi Chen

Bingqing Song

Prashant Khanduri

Mingyi Hong

2024/1/1

Problem-Parameter-Free Decentralized Nonconvex Stochastic Optimization

arXiv preprint arXiv:2402.08821

Jiaxiang Li

Xuxing Chen

Shiqian Ma

Mingyi Hong

2024/2/13

A Smoothed Bregman Proximal Gradient Algorithm for Decentralized Nonconvex Optimization

Wenqiang Pu

Jiawei Zhang

Rui Zhou

Xiao Fu

Mingyi Hong

2024/4/14

A survey of advances in optimization methods for wireless communication system design

arXiv preprint arXiv:2401.12025

Ya-Feng Liu

Tsung-Hui Chang

Mingyi Hong

Zheyu Wu

Anthony Man-Cho So

...

2024/1/22

Pre-training Differentially Private Models with Limited Public Data

arXiv preprint arXiv:2402.18752

Zhiqi Bu

Xinwei Zhang

Mingyi Hong

Sheng Zha

George Karypis

2024/2/28

When Demonstrations meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning

Advances in Neural Information Processing Systems

Siliang Zeng

Chenliang Li

Alfredo Garcia

Mingyi Hong

2024/2/13

MADA: Meta-Adaptive Optimizers through hyper-gradient Descent

arXiv preprint arXiv:2401.08893

Kaan Ozkara

Can Karakus

Parameswaran Raman

Mingyi Hong

Shoham Sabach

...

2024/1/17

Zeroth-Order Machine Learning: Fundamental Principles and Emerging Applications in Foundation Models

Sijia Liu

Tianlong Chen

Zhangyang Wang

Pin-Yu Chen

Mingyi Hong

...

2024/2/20

A unified detection framework for inference-stage backdoor defenses

Advances in Neural Information Processing Systems

Xun Xian

Ganghua Wang

Jayanth Srinivasa

Ashish Kundu

Xuan Bi

...

2024/2/13

Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate

arXiv preprint arXiv:2401.03058

Ruichen Jiang

Parameswaran Raman

Shoham Sabach

Aryan Mokhtari

Mingyi Hong

...

2024/1/5

First-order algorithms without lipschitz gradient: A sequential local optimization approach

INFORMS Journal on Optimization

Junyu Zhang

Mingyi Hong

2024/2/20

Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning

Advances in Neural Information Processing Systems

Yihua Zhang

Yimeng Zhang

Aochuan Chen

Jiancheng Liu

Gaowen Liu

...

2023/12/9

An Introduction to Bilevel Optimization: Foundations and applications in signal processing and machine learning

IEEE Signal Processing Magazine

Yihua Zhang

Prashant Khanduri

Ioannis Tsaknakis

Yuguang Yao

Mingyi Hong

...

2024/1

Glasu: A communication-efficient algorithm for federated learning with vertically distributed graph data

arXiv preprint arXiv:2303.09531

Xinwei Zhang

Mingyi Hong

Jie Chen

2023/3/16

On the local linear rate of consensus on the Stiefel manifold

IEEE Transactions on Automatic Control

Shixiang Chen

Alfredo Garcia

Mingyi Hong

Shahin Shahrampour

2023/11/6

An implicit gradient method for constrained bilevel problems using barrier approximation

Ioannis Tsaknakis

Prashant Khanduri

Mingyi Hong

2023/6/4

Understanding backdoor attacks through the adaptability hypothesis

Xun Xian

Ganghua Wang

Jayanth Srinivasa

Ashish Kundu

Xuan Bi

...

2023/7/3

See List of Professors in Mingyi Hong University(University of Minnesota-Twin Cities)

Co-Authors

H-index: 71
Nikolaos Sidiropoulos

Nikolaos Sidiropoulos

University of Virginia

H-index: 41
Zhaoran Wang

Zhaoran Wang

Northwestern University

H-index: 41
Sijia Liu

Sijia Liu

Michigan State University

H-index: 39
Tuo Zhao

Tuo Zhao

Georgia Institute of Technology

H-index: 38
Emiliano Dall'Anese

Emiliano Dall'Anese

University of Colorado Boulder

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