DSOD: Learning Deeply Supervised Object Detectors from Scratch.

Zhiqiang Shen , Zhuang Liu , Jianguo Li , Yu-Gang Jiang
arXiv: Computer Vision and Pattern Recognition

633
2017
Learning Efficient Convolutional Networks through Network Slimming

Zhuang Liu , Jianguo Li , Zhiqiang Shen , Gao Huang
arXiv: Computer Vision and Pattern Recognition

1,965
2017
Rethinking the Value of Network Pruning

Gao Huang , Tinghui Zhou , Trevor Darrell , Zhuang Liu
international conference on learning representations

1,165
2018
Few-shot Object Detection via Feature Reweighting

Fisher Yu , Jiashi Feng , Trevor Darrell , Zhuang Liu
arXiv: Computer Vision and Pattern Recognition

490
2018
Few Sample Knowledge Distillation for Efficient Network Compression

Changshui Zhang , Jianguo Li , Zhuang Liu , Tianhong Li
arXiv: Learning

87
2018
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts

Alexei A. Efros , Moritz Hardt , Zhuang Liu , Xiaolong Wang
international conference on machine learning 9229 -9248

260
2020
Regularization Matters in Policy Optimization - An Empirical Study on Continuous Control

Trevor Darrell , Zhuang Liu , Bingyi Kang , Xuanlin Li
international conference on learning representations

2021
sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data

Guanhua Wang , Ion Stoica , Trevor Darrell , Joseph Gonzalez
Proceedings of Machine Learning and Systems 3

6
2021
Deep Networks with Stochastic Depth

Gao Huang , Yu Sun , Zhuang Liu , Daniel Sedra
Computer Vision – ECCV 2016 646 -661

1,979
2016
Densely Connected Convolutional Networks

Gao Huang , Zhuang Liu , Geoff Pleiss , Laurens Van Der Maaten
computer vision and pattern recognition 2261 -2269

12,019
2017
MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation

John Lambert , Zhuang Liu , Ozan Sener , James Hays
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2879 -2888

100
2020
A convnet for the 2020s

Zhuang Liu , Hanzi Mao , Chao-Yuan Wu , Christoph Feichtenhofer
Smpte Journal 11976 -11986

842
2022
Meta-baseline: Exploring simple meta-learning for few-shot learning

Yinbo Chen , Zhuang Liu , Huijuan Xu , Trevor Darrell
Smpte Journal 9062 -9071

135
2021
Convnext v2: Co-designing and scaling convnets with masked autoencoders

Sanghyun Woo , Shoubhik Debnath , Ronghang Hu , Xinlei Chen
Smpte Journal 16133 -16142

2
2023
Vision transformer slimming: Multi-dimension searching in continuous optimization space

Arnav Chavan , Zhiqiang Shen , Zhuang Liu , Zechun Liu
Smpte Journal 4931 -4941

12
2022
Dropout Reduces Underfitting

Zhuang Liu , Zhiqiu Xu , Joseph Jin , Zhiqiang Shen
arXiv preprint arXiv:2303.01500

2023
Imagebind: One embedding space to bind them all

Girdhar Rohi , Alaaeldin El-Nouby , Zhuang Liu , Mannat Singh
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 15180 -15190

409
2023
Un-mix: Rethinking image mixtures for unsupervised visual representation learning

Zhiqiang Shen , Zechun Liu , Zhuang Liu , Marios Savvides
Proceedings of the AAAI Conference on Artificial Intelligence 36 ( 2) 2216 -2224

111
2022
One-for-all: Generalized lora for parameter-efficient fine-tuning

Arnav Chavan , Zhuang Liu , Deepak Gupta , Eric Xing
arXiv preprint arXiv:2306.07967

38
2023