Yucheng Lu

Yucheng Lu

Cornell University

H-index: 9

North America-United States

About Yucheng Lu

Yucheng Lu, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at Cornell University, specializes in the field of Large-scale AI System, ML System.

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

Coordinating Distributed Example Orders for Provably Accelerated Training

CocktailSGD: Fine-tuning foundation models over 500Mbps networks

Step: Learning n: M structured sparsity masks from scratch with precondition

Provably Efficient Model Training Over Centralized and Decentralized Datasets

Decentralized learning: Theoretical optimality and practical improvements

GraB: Finding Provably Better Data Permutations than Random Reshuffling

Maximizing communication efficiency for large-scale training via 0/1 adam

Hyperparameter optimization is deceiving us, and how to stop it

Yucheng Lu Information

University

Position

PhD student

Citations(all)

220

Citations(since 2020)

220

Cited By

21

hIndex(all)

9

hIndex(since 2020)

9

i10Index(all)

9

i10Index(since 2020)

9

Email

University Profile Page

Google Scholar

Yucheng Lu Skills & Research Interests

Large-scale AI System

ML System

Top articles of Yucheng Lu

Coordinating Distributed Example Orders for Provably Accelerated Training

2023/11/2

CocktailSGD: Fine-tuning foundation models over 500Mbps networks

2023/7/3

Step: Learning n: M structured sparsity masks from scratch with precondition

2023/7/3

Yucheng Lu
Yucheng Lu

H-Index: 2

Christopher De Sa
Christopher De Sa

H-Index: 21

Provably Efficient Model Training Over Centralized and Decentralized Datasets

2023

Yucheng Lu
Yucheng Lu

H-Index: 2

Decentralized learning: Theoretical optimality and practical improvements

Journal of Machine Learning Research

2023

Yucheng Lu
Yucheng Lu

H-Index: 2

Christopher De Sa
Christopher De Sa

H-Index: 21

GraB: Finding Provably Better Data Permutations than Random Reshuffling

Advances in Neural Information Processing Systems

2022/12/6

Yucheng Lu
Yucheng Lu

H-Index: 2

Wentao Guo
Wentao Guo

H-Index: 1

Maximizing communication efficiency for large-scale training via 0/1 adam

arXiv preprint arXiv:2202.06009

2022/2/12

Yucheng Lu
Yucheng Lu

H-Index: 2

Christopher De Sa
Christopher De Sa

H-Index: 21

Hyperparameter optimization is deceiving us, and how to stop it

Advances in Neural Information Processing Systems

2021/12/6

Yucheng Lu
Yucheng Lu

H-Index: 2

A general analysis of example-selection for stochastic gradient descent

2021/10/6

Variance Reduced Training with Stratified Sampling for Forecasting Models

2021/7/1

Optimal Complexity in Decentralized Training

2021/7/1

Yucheng Lu
Yucheng Lu

H-Index: 2

Christopher De Sa
Christopher De Sa

H-Index: 21

Mixml: A unified analysis of weakly consistent parallel learning

arXiv preprint arXiv:2005.06706

2020/5/14

Yucheng Lu
Yucheng Lu

H-Index: 2

Christopher De Sa
Christopher De Sa

H-Index: 21

Moniqua: Modulo Quantized Communication in Decentralized SGD

2020/11/21

Yucheng Lu
Yucheng Lu

H-Index: 2

Christopher De Sa
Christopher De Sa

H-Index: 21

Adaptive diffusion of sensitive information in online social networks

IEEE Transactions on Knowledge and Data Engineering

2020/1/6

Xudong Wu
Xudong Wu

H-Index: 3

Yucheng Lu
Yucheng Lu

H-Index: 2

See List of Professors in Yucheng Lu University(Cornell University)