Zhuang Liu

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Kilian WeinbergerCornell UniversityAdresse e-mail validée de cornell.edu
Laurens van der MaatenDistinguished Research Scientist, Llama Team, Meta AIAdresse e-mail validée de meta.com
Trevor DarrellProfessor of Computer Science, U.C. BerkeleyAdresse e-mail validée de eecs.berkeley.edu
Saining XieAssistant Professor at the Courant Institute, New York UniversityAdresse e-mail validée de nyu.edu
Zhiqiang ShenAssistant Professor at Mohamed bin Zayed University of Artificial IntelligenceAdresse e-mail validée de mbzuai.ac.ae
Jianguo LiDirector, Ant GroupAdresse e-mail validée de antgroup.com
Christoph FeichtenhoferMeta, FAIRAdresse e-mail validée de fb.com
Chao-Yuan WuWorld LabsAdresse e-mail validée de meta.com
Hanzi MaoResearch Scientist, NvidiaAdresse e-mail validée de nvidia.com
Yu SunPostdoc, Stanford UniversityAdresse e-mail validée de cs.stanford.edu
Xiaolong WangAssistant Professor, UC San DiegoAdresse e-mail validée de ucsd.edu
Mingjie SunCarnegie Mellon UniversityAdresse e-mail validée de cs.cmu.edu
Tinghui ZhouPhD student, UC BerkeleyAdresse e-mail validée de berkeley.edu
Bingyi KangResearch Scientist @ TikTokAdresse e-mail validée de sea.com
Xinlei ChenFAIR, MetaAdresse e-mail validée de meta.com
Rohit GirdharResearch Scientist, GenAI, MetaAdresse e-mail validée de fb.com
Yurong ChenSr. Principal AI Scientist / Research Director, Intel Labs ChinaAdresse e-mail validée de intel.com
Moritz HardtMax Planck Institute for Intelligent SystemsAdresse e-mail validée de is.mpg.de
Alexei A. EfrosDept. of Electrical Engineering and Computer Sciences, UC BerkeleyAdresse e-mail validée de eecs.berkeley.edu
Ronghang HuResearch Scientist, AI at MetaAdresse e-mail validée de meta.com

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Zhuang Liu

Research Scientist, FAIR, Meta

Adresse e-mail validée de berkeley.edu - Page d'accueil

Deep Learning Neural Networks Computer Vision Machine Learning


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Densely Connected Convolutional Networks Z Liu, G Huang, L Maaten, KQ Weinberger Computer Vision and Pattern Recognition (CVPR), 2017, 2017	50435*	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	6443	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	3103	2017
Deep Networks with Stochastic Depth G Huang, Y Sun, Z Liu, D Sedra, KQ Weinberger European Conference on Computer Vision (ECCV), 2016, 2016	2842	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	1794	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	917	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	887*	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	867	2020
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	775	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	762*	2023
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	705*	2021
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	365	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	215	2020
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	187	2024
Few Sample Knowledge Distillation for Efficient Network Compression T Li, J Li, Z Liu, C Zhang Computer Vision and Pattern Recognition (CVPR), 2020, 2020	185*	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	135	2022
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	91*	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	78	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	71	2023
Dropout Reduces Underfitting Z Liu, Z Xu, J Jin, Z Shen, T Darrell International Conference on Machine Learning (ICML), 2023, 2023	52	2023

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