Zhuang Liu

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Kilian WeinbergerCornell UniversityVerified email at cornell.edu
Laurens van der MaatenDistinguished Research Scientist, Llama Team, Meta AIVerified email at meta.com
Trevor DarrellProfessor of Computer Science, U.C. BerkeleyVerified email at eecs.berkeley.edu
Zhiqiang ShenAssistant Professor at Mohamed bin Zayed University of Artificial IntelligenceVerified email at mbzuai.ac.ae
Saining XieAssistant Professor at the Courant Institute, New York UniversityVerified email at nyu.edu
Jianguo LiDirector, Ant GroupVerified email at antgroup.com
Christoph FeichtenhoferMeta, FAIRVerified email at fb.com
Chao-Yuan WuWorld LabsVerified email at meta.com
Hanzi MaoResearch Scientist, NvidiaVerified email at nvidia.com
Yu SunPostdoc, Stanford UniversityVerified email at cs.stanford.edu
Xiaolong WangAssistant Professor, UC San DiegoVerified email at ucsd.edu
Mingjie SunCarnegie Mellon UniversityVerified email at cs.cmu.edu
Tinghui ZhouPhD student, UC BerkeleyVerified email at berkeley.edu
Bingyi KangResearch Scientist @ TikTokVerified email at sea.com
Xinlei ChenFAIR, MetaVerified email at meta.com
Rohit GirdharResearch Scientist, Fundamental AI Research (FAIR), MetaVerified email at fb.com
Yurong ChenSr. Principal AI Scientist / Research Director, Intel Labs ChinaVerified email at intel.com
Moritz HardtMax Planck Institute for Intelligent SystemsVerified email at is.mpg.de
Alexei A. EfrosDept. of Electrical Engineering and Computer Sciences, UC BerkeleyVerified email at eecs.berkeley.edu
Huijuan XuAssistant Professor, CSE Dept., Pennsylvania State UniversityVerified email at psu.edu

Zhuang Liu

Research Scientist, FAIR, Meta

Verified email at berkeley.edu - Homepage

Deep Learning Neural Networks Computer Vision Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Densely Connected Convolutional Networks Z Liu, G Huang, L Maaten, KQ Weinberger Computer Vision and Pattern Recognition (CVPR), 2017, 2017	48396*	2017
A ConvNet for the 2020s Z Liu, H Mao, CY Wu, C Feichtenhofer, T Darrell, S Xie Computer Vision and Pattern Recognition (CVPR), 2022, 2022	5493	2022
Learning Efficient Convolutional Networks through Network Slimming Z Liu, J Li, Z Shen, G Huang, S Yan, C Zhang International Conference on Computer Vision (ICCV), 2017, 2017	2967	2017
Deep Networks with Stochastic Depth G Huang, Y Sun, Z Liu, D Sedra, KQ Weinberger European Conference on Computer Vision (ECCV), 2016, 2016	2757	2016
Rethinking the Value of Network Pruning Z Liu, M Sun, T Zhou, G Huang, T Darrell International Conference on Learning Representations (ICLR), 2019, 2019	1724	2019
Few-shot Object Detection via Feature Reweighting B Kang, Z Liu, X Wang, F Yu, J Feng, T Darrell International Conference on Computer Vision (ICCV), 2019, 2019	882	2019
DSOD: Learning Deeply Supervised Object Detectors from Scratch Z Shen, Z Liu, J Li, YG Jiang, Y Chen, X Xue International Conference on Computer Vision (ICCV), 2017, 2017	876*	2017
Test-time Training with Self-supervision for Generalization under Distribution Shifts Y Sun, X Wang, Z Liu, J Miller, A Efros, M Hardt International Conference on Machine Learning (ICML), 2020, 2020	790	2020
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning Y Chen, Z Liu, H Xu, T Darrell, X Wang International Conference on Computer Vision (ICCV), 2021, 2021	673*	2021
Imagebind: One Embedding Space to Bind Them All R Girdhar, A El-Nouby, Z Liu, M Singh, KV Alwala, A Joulin, I Misra* Computer Vision and Pattern Recognition (CVPR), 2023, 2023	637	2023
ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders S Woo, S Debnath, R Hu, X Chen, Z Liu, IS Kweon, S Xie Computer Vision and Pattern Recognition (CVPR), 2023, 2023	610*	2023
A Simple and Effective Pruning Approach for Large Language Models M Sun, Z Liu, A Bair, JZ Kolter International Conference on Learning Representations (ICLR), 2024, 2024	256	2024
MSeg: A Composite Dataset for Multi-domain Semantic Segmentation J Lambert, Z Liu, O Sener, J Hayes, V Koltun Computer Vision and Pattern Recognition (CVPR), 2020, 2020	205	2020
Few Sample Knowledge Distillation for Efficient Network Compression T Li, J Li, Z Liu, C Zhang Computer Vision and Pattern Recognition (CVPR), 2020, 2020	175*	2020
Un-mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning Z Shen, Z Liu, Z Liu, M Savvides, T Darrell, E Xing AAAI Conference on Artificial Intelligence (AAAI), 2022, 2022	126	2022
Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs S Tong, Z Liu, Y Zhai, Y Ma, Y LeCun, S Xie Computer Vision and Pattern Recognition (CVPR), 2024, 2024	108	2024
Regularization Matters in Policy Optimization--An Empirical Study on Continuous Control Z Liu, X Li, B Kang, T Darrell International Conference on Learning Representations (ICLR), 2021, 2021	83*	2021
Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space A Chavan, Z Shen, Z Liu, Z Liu, KT Cheng, E Xing Computer Vision and Pattern Recognition (CVPR), 2022, 2022	73	2022
One-for-all: Generalized LoRA for Parameter-Efficient Fine-Tuning A Chavan, Z Liu, D Gupta, E Xing, Z Shen arXiv preprint arXiv:2306.07967, 2023	59	2023
Dropout Reduces Underfitting Z Liu, Z Xu, J Jin, Z Shen, T Darrell International Conference on Machine Learning (ICML), 2023, 2023	43	2023

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