Zhuang Liu

Zhuang Liu

University of California, Berkeley

H-index: 19

North America-United States

About Zhuang Liu

Zhuang Liu, With an exceptional h-index of 19 and a recent h-index of 19 (since 2020), a distinguished researcher at University of California, Berkeley, specializes in the field of Machine Learning, Deep Learning, Neural Networks, Computer Vision.

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

A Decade's Battle on Dataset Bias: Are We There Yet?

Initializing Models with Larger Ones

Massive Activations in Large Language Models

A Simple and Effective Pruning Approach for Large Language Models

Neural Network Diffusion

Deconstructing Denoising Diffusion Models for Self-supervised Learning

Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs

Imagebind: One Embedding Space to Bind Them All

Zhuang Liu Information

University

Position

PhD student at

Citations(all)

55894

Citations(since 2020)

52291

Cited By

19696

hIndex(all)

19

hIndex(since 2020)

19

i10Index(all)

23

i10Index(since 2020)

23

Email

University Profile Page

University of California, Berkeley

Google Scholar

View Google Scholar Profile

Zhuang Liu Skills & Research Interests

Machine Learning

Deep Learning

Neural Networks

Computer Vision

Top articles of Zhuang Liu

Title

Journal

Author(s)

Publication Date

A Decade's Battle on Dataset Bias: Are We There Yet?

Zhuang Liu

Kaiming He

2024/3/13

Initializing Models with Larger Ones

ICLR 2024 Spotlight

Zhiqiu Xu

Yanjie Chen

Kirill Vishniakov

Yida Yin

Zhiqiang Shen

...

2024

Massive Activations in Large Language Models

arXiv preprint arXiv:2402.17762

Mingjie Sun

Xinlei Chen

J Zico Kolter

Zhuang Liu

2024/2/27

A Simple and Effective Pruning Approach for Large Language Models

arXiv preprint arXiv:2306.11695

Mingjie Sun

Zhuang Liu

Anna Bair

J Zico Kolter

2023/6/20

Neural Network Diffusion

arXiv preprint arXiv:2402.13144

Kai Wang

Zhaopan Xu

Yukun Zhou

Zelin Zang

Trevor Darrell

...

2024/2/20

Deconstructing Denoising Diffusion Models for Self-supervised Learning

arXiv preprint arXiv:2401.14404

Xinlei Chen

Zhuang Liu

Saining Xie

Kaiming He

2024/1/25

Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs

arXiv preprint arXiv:2401.06209

Shengbang Tong

Zhuang Liu

Yuexiang Zhai

Yi Ma

Yann LeCun

...

2024/1/11

Imagebind: One Embedding Space to Bind Them All

Rohit Girdhar*

Alaaeldin El-Nouby*

Zhuang Liu

Mannat Singh

Kalyan Vasudev Alwala

...

2023

Dropout Reduces Underfitting

Zhuang Liu

Zhiqiu Xu

Joseph Jin

Zhiqiang Shen

Trevor Darrell

2023/3/2

ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders

Sanghyun Woo

Shoubhik Debnath

Ronghang Hu

Xinlei Chen

Zhuang Liu

...

2023

ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy

arXiv preprint arXiv:2311.09215

Kirill Vishniakov

Zhiqiang Shen

Zhuang Liu

2023/11/15

A Coefficient Makes SVRG Effective

arXiv preprint arXiv:2311.05589

Yida Yin

Zhiqiu Xu

Zhiyuan Li

Trevor Darrell

Zhuang Liu

2023/11/9

One-for-all: Generalized LoRA for Parameter-Efficient Fine-Tuning

arXiv preprint arXiv:2306.07967

Arnav Chavan

Zhuang Liu

Deepak Gupta

Eric Xing

Zhiqiang Shen

2023/6/13

A ConvNet for the 2020s

Zhuang Liu

Hanzi Mao

Chao-Yuan Wu

Christoph Feichtenhofer

Trevor Darrell

...

2022

Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space

Arnav Chavan*

Zhiqiang Shen*

Zhuang Liu

Zechun Liu

Kwang-Ting Cheng

...

2022/6

Un-mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning

Proceedings of the AAAI Conference on Artificial Intelligence

Zhiqiang Shen

Zechun Liu

Zhuang Liu

Marios Savvides

Trevor Darrell

...

2022/6/28

Exploring Simple and Transferable Recognition-Aware Image Processing

IEEE Transactions on Pattern Analysis and Machine Intelligence

Zhuang Liu

Hungju Wang

Tinghui Zhou

Zhiqiang Shen

Bingyi Kang

...

2022/6/15

Efficient and Scalable Neural Architectures for Visual Recognition

Zhuang Liu

2022

Anytime Dense Prediction with Confidence Adaptivity

Zhuang Liu

Zhiqiu Xu

Hung-Ju Wang

Trevor Darrell

Evan Shelhamer

2022

Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning

Yinbo Chen

Zhuang Liu

Huijuan Xu

Trevor Darrell

Xiaolong Wang

2020/3/9

See List of Professors in Zhuang Liu University(University of California, Berkeley)

Co-Authors

H-index: 161
Trevor Darrell

Trevor Darrell

University of California, Berkeley

H-index: 106
Alexei A. Efros

Alexei A. Efros

University of California, Berkeley

H-index: 87
Kilian Weinberger

Kilian Weinberger

Cornell University

H-index: 50
Moritz Hardt

Moritz Hardt

University of California, Berkeley

H-index: 49
Gao Huang (黄高)

Gao Huang (黄高)

Tsinghua University

H-index: 47
Xiaolong Wang

Xiaolong Wang

University of California, San Diego

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