Hongyi Wang

Hongyi Wang

University of Wisconsin-Madison

H-index: 14

North America-United States

About Hongyi Wang

Hongyi Wang, With an exceptional h-index of 14 and a recent h-index of 14 (since 2020), a distinguished researcher at University of Wisconsin-Madison, specializes in the field of ML Systems.

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

FedNAR: Federated Optimization with Normalized Annealing Regularization

Trustllm: Trustworthiness in large language models

Federated learning as variational inference: A scalable expectation propagation approach

Fusing Models with Complementary Expertise

Does compressing activations help model parallel training?

Slimpajama-dc: Understanding data combinations for llm training

Llm360: Towards fully transparent open-source llms

Maestro: Uncovering Low-Rank Structures via Trainable Decomposition

Hongyi Wang Information

University

Position

___

Citations(all)

3104

Citations(since 2020)

3090

Cited By

432

hIndex(all)

14

hIndex(since 2020)

14

i10Index(all)

15

i10Index(since 2020)

15

Email

University Profile Page

University of Wisconsin-Madison

Google Scholar

View Google Scholar Profile

Hongyi Wang Skills & Research Interests

ML Systems

Top articles of Hongyi Wang

Title

Journal

Author(s)

Publication Date

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

Trustllm: Trustworthiness in large language models

arXiv preprint arXiv:2401.05561

Lichao Sun

Yue Huang

Haoran Wang

Siyuan Wu

Qihui Zhang

...

2024/1/10

Federated learning as variational inference: A scalable expectation propagation approach

arXiv preprint arXiv:2302.04228

Han Guo

Philip Greengard

Hongyi Wang

Andrew Gelman

Yoon Kim

...

2023/2/8

Fusing Models with Complementary Expertise

arXiv preprint arXiv:2310.01542

Hongyi Wang

Felipe Maia Polo

Yuekai Sun

Souvik Kundu

Eric Xing

...

2023/10/2

Does compressing activations help model parallel training?

arXiv preprint arXiv:2301.02654

Song Bian

Dacheng Li

Hongyi Wang

Eric P Xing

Shivaram Venkataraman

2023/1/6

Slimpajama-dc: Understanding data combinations for llm training

arXiv preprint arXiv:2309.10818

Zhiqiang Shen

Tianhua Tao

Liqun Ma

Willie Neiswanger

Joel Hestness

...

2023/9/19

Llm360: Towards fully transparent open-source llms

arXiv preprint arXiv:2312.06550

Zhengzhong Liu

Aurick Qiao

Willie Neiswanger

Hongyi Wang

Bowen Tan

...

2023/12/11

Maestro: Uncovering Low-Rank Structures via Trainable Decomposition

arXiv preprint arXiv:2308.14929

Samuel Horvath

Stefanos Laskaridis

Shashank Rajput

Hongyi Wang

2023/8/28

Cuttlefish: Low-rank model training without all the tuning

Proceedings of Machine Learning and Systems

Hongyi Wang

Saurabh Agarwal

Yoshiki Tanaka

Eric Xing

Dimitris Papailiopoulos

2023/3/18

PolyThrottle: Energy-efficient Neural Network Inference on Edge Devices

arXiv preprint arXiv:2310.19991

Minghao Yan

Hongyi Wang

Shivaram Venkataraman

2023/10/30

Memory-adaptive depth-wise heterogenous federated learning

arXiv preprint arXiv:2303.04887

Kai Zhang

Yutong Dai

Hongyi Wang

Eric Xing

Xun Chen

...

2023/3/8

Redco: A Lightweight Tool to Automate Distributed Training of LLMs on Any GPU/TPUs

arXiv preprint arXiv:2310.16355

Bowen Tan

Yun Zhu

Lijuan Liu

Hongyi Wang

Yonghao Zhuang

...

2023/10/25

Efficient federated learning on knowledge graphs via privacy-preserving relation embedding aggregation

Kai Zhang

Yu Wang

Hongyi Wang

Lifu Huang

Carl Yang

...

2022/3/17

Rare Gems: Finding Lottery Tickets at Initialization

Kartik Sreenivasan

Jy-yong Sohn

Liu Yang

Matthew Grinde

Alliot Nagle

...

2022/11

MPCFormer: fast, performant and private Transformer inference with MPC

arXiv preprint arXiv:2211.01452

Dacheng Li

Rulin Shao

Hongyi Wang

Han Guo

Eric P Xing

...

2022/11/2

AMP: Automatically Finding Model Parallel Strategies with Heterogeneity Awareness

NeurIPS 2022

Dacheng Li

Hongyi Wang

Eric Xing

Hao Zhang

2022/10/13

On the utility of gradient compression in distributed training systems

Proceedings of Machine Learning and Systems

Saurabh Agarwal

Hongyi Wang

Shivaram Venkataraman

Dimitris Papailiopoulos

2022/4/22

Adaptive gradient communication via critical learning regime identification

Proceedings of Machine Learning and Systems

Saurabh Agarwal

Hongyi Wang

Kangwook Lee

Shivaram Venkataraman

Dimitris Papailiopoulos

2021/3/15

Toward Robust and Communication Efficient Distributed Machine Learning

Hongyi Wang

2021

Solon: Communication-efficient byzantine-resilient distributed training via redundant gradients

arXiv preprint arXiv:2110.01595

Lingjiao Chen

Leshang Chen

Hongyi Wang

Susan Davidson

Edgar Dobriban

2021/10/4

See List of Professors in Hongyi Wang University(University of Wisconsin-Madison)

Co-Authors

H-index: 114
Eric Xing

Eric Xing

Carnegie Mellon University

H-index: 70
Stephen Wright

Stephen Wright

University of Wisconsin-Madison

H-index: 39
Shivaram Venkataraman

Shivaram Venkataraman

University of Wisconsin-Madison

H-index: 26
Kangwook Lee

Kangwook Lee

University of Wisconsin-Madison

H-index: 24
Yuekai Sun

Yuekai Sun

University of Michigan

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