Selected Publications

(* equal contribution)
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Dropout Reduces Underfitting

Zhuang Liu*, Zhiqiu Xu*, Joseph Jin, Zhiqiang Shen, Trevor Darrell

ICML 2023

[Paper] [Code]

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A ConvNet for the 2020s

Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor Darrell, Saining Xie

CVPR 2022

[Paper] [Video] [Code]

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Anytime Dense Prediction with Confidence Adaptivity

Zhuang Liu, Hung-Ju Wang, Zhiqiu Xu, Trevor Darrell, Evan Shelhamer

ICLR 2022

[Paper] [OpenReview] [Code]

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Regularization Matters in Policy Optimization - An Empirical Study on Continuous Control

Zhuang Liu*, Xuanlin Li*, Bingyi Kang, Trevor Darrell

ICLR 2021

[Paper] [OpenReview] [Video] [Code]

Spotlight Presentation

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Rethinking the Value of Network Pruning

Zhuang Liu*, Mingjie Sun*, Tinghui Zhou, Gao Huang, Trevor Darrell

ICLR 2019

[Paper] [OpenReview] [Code]

NeurIPS'18 Compact Neural Networks Workshop Best Paper Award

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Learning Efficient Convolutional Networks through Network Slimming

Zhuang Liu, Jianguo Li, Zhiqiang Shen, Gao Huang, Shoumeng Yan, Changshui Zhang

ICCV 2017

[Paper] [Code1] [Code2] [Code3 (3rd-party)]

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Densely Connected Convolutional Networks

Gao Huang*, Zhuang Liu*, Laurens van der Maaten, Kilian Weinberger

CVPR 2017

[Paper] [Video] [TPAMI version] [Code]

CVPR Best Paper Award



Full List of Publications

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Dropout Reduces Underfitting

Zhuang Liu*, Zhiqiu Xu*, Joseph Jin, Zhiqiang Shen, Trevor Darrell

arXiv 2023

[Paper] [Code]

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

Sanghyun Woo, Shoubhik Debnath, Ronghang Hu, Xinlei Chen, Zhuang Liu, In So Kweon, Saining Xie

CVPR 2023

[Paper] [Code]

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Exploring Simple and Transferable Recognition-Aware Image Processing

Zhuang Liu, Hungju Wang, Tinghui Zhou, Zhiqiang Shen, Bingyi Kang, Evan Shelhamer, Trevor Darrell

TPAMI 2022

[Paper] [Code]

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A ConvNet for the 2020s

Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor Darrell, Saining Xie

CVPR 2022

[Paper] [Video] [Code]

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Anytime Dense Prediction with Confidence Adaptivity

Zhuang Liu, Hung-Ju Wang, Zhiqiu Xu, Trevor Darrell, Evan Shelhamer

ICLR 2022

[Paper] [Code] [OpenReview]

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

Arnav Chavan, Zhiqiang Shen, Zhuang Liu, Zechun Liu, Kwang-Ting Cheng, Eric Xing

CVPR 2022

[Paper]

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

Zhiqiang Shen, Zechun Liu, Zhuang Liu, Marios Savvides, Trevor Darrell

AAAI 2022

[Paper] [Code]

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

Yinbo Chen, Zhuang Liu, Huijuan Xu, Trevor Darrell, Xiaolong Wang

ICCV 2021

[Paper] [Code]

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SensAI: Fast ConvNets Serving on Live Data via Class Parallelism

Guanhua Wang, Zhuang Liu, Siyuan Zhuang, Brandon Hsieh, Joseph E. Gonzalez, Trevor Darrell, Ion Stoica

Machine Learning and Systems 2021

[Paper] [Code]

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Regularization Matters in Policy Optimization - An Empirical Study on Continuous Control

Zhuang Liu*, Xuanlin Li*, Bingyi Kang, Trevor Darrell

ICLR 2021

[Paper] [Code] [OpenReview] [Video]

Spotlight Presentation

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Test-Time Training for Out-of-Distribution Generalization

Yu Sun, Xiaolong Wang, Zhuang Liu, John Miller, Alexei A. Efros, Moritz Hardt

ICML 2020

[Paper] [Code] [Video]

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MSeg: A Composite Dataset for Multi-domain Semantic Segmentation

John Lambert*, Zhuang Liu*, Ozan Sener, James Hays, Vladlen Koltun

CVPR 2020

[Paper] [Code] [Demo]

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Few Sample Knowledge Distillation for Efficient Network Compression

Tianhong Li, Jianguo Li, Zhuang Liu, Changshui Zhang

CVPR 2020

[Paper] [Code]

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Few-shot Object Detection via Feature Reweighting

Bingyi Kang*, Zhuang Liu*, Xin Wang, Fisher Yu, Jiashi Feng, Trevor Darrell

ICCV 2019

[Paper] [Code]

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Rethinking the Value of Network Pruning

Zhuang Liu*, Mingjie Sun*, Tinghui Zhou, Gao Huang, Trevor Darrell

ICLR 2019

[Paper] [Code] [OpenReview]

NeurIPS'18 Compact Neural Networks Workshop Best Paper Award

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DSOD: Learning Deeply Supervised Object Detectors from Scratch

Zhiqiang Shen*, Zhuang Liu*, Jianguo Li, Yu-Gang Jiang, Yurong Chen, Xiangyang Xue

ICCV 2017

[Paper] [Code] [TPAMI version]

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Learning Efficient Convolutional Networks through Network Slimming

Zhuang Liu, Jianguo Li, Zhiqiang Shen, Gao Huang, Shoumeng Yan, Changshui Zhang

ICCV 2017

[Paper] [Code1] [Code2]

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Densely Connected Convolutional Networks

Gao Huang*, Zhuang Liu*, Laurens van der Maaten, Kilian Weinberger

CVPR 2017

[Paper] [Code] [Video] [TPAMI version]

CVPR Best Paper Award

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Snapshot Ensembles: Train 1, Get M for Free

Gao Huang, Yixuan Li, Geoff Pleiss, Zhuang Liu, John Hopcroft, Kilian Weinberger

ICLR 2017

[Paper] [Code]

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Deep Networks with Stochastic Depth

Gao Huang, Yu Sun, Zhuang Liu, Daniel Sedra, Kilian Weinberger

ECCV 2016

[Paper] [Code]

Spotlight Presentation


Misc

I'm a reviewer for conferences CVPR 2018-2023, ICCV 2019, ECCV 2020, ICLR 2020, 2021, 2023, ICML 2019, NeurIPS 2019-2020, AISTATS 2019-2020, UAI 2019, AAAI 2018, 2020, 2023, ACML 2019, ACCV 2020, and journals TPAMI, TIP, IJCV, JMLR, TNNLS, TMM, etc. I'm an area chair for NeurIPS 2023, ICCV 2023 and NeurIPS Dataset track 2022.

My name in Chinese is 刘壮.