Yi Zhang

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Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ Speeding up Convolutional Neural Networks with Low Rank Expansions 2014 Max Jaderberg
Andrea Vedaldi
Andrew Zisserman
1
+ Tensor Decompositions and Applications 2009 Tamara G. Kolda
Brett W. Bader
1
+ PDF Chat Going deeper with convolutions 2015 Christian Szegedy
Wei Liu
Yangqing Jia
Pierre Sermanet
Scott Reed
Dragomir Anguelov
Dumitru Erhan
Vincent Vanhoucke
Andrew Rabinovich
1
+ PDF Chat Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
1
+ PDF Chat A survey on object detection in optical remote sensing images 2016 Gong Cheng
Junwei Han
1
+ TensorLy: tensor learning in python 2019 Jean Kossaifi
Yannis Panagakis
Anima Anandkumar
Maja Pantić
1
+ PDF Chat CP-decomposition with Tensor Power Method for Convolutional Neural Networks compression 2017 Marcella Astrid
Seung‐Ik Lee
1
+ PDF Chat Tensor Contraction Layers for Parsimonious Deep Nets 2017 Jean Kossaifi
Aran Khanna
Zachary C. Lipton
Tommaso Furlanello
Anima Anandkumar
1
+ PDF Chat Balanced Quantization: An Effective and Efficient Approach to Quantized Neural Networks 2017 Shuchang Zhou
Yuzhi Wang
He Wen
Qinyao He
Yuheng Zou
1
+ Tensor Regression Networks 2017 Jean Kossaifi
Zachary C. Lipton
Aran Khanna
Tommaso Furlanello
Anima Anandkumar
1
+ PDF Chat Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources 2017 Xiao Xiang Zhu
Devis Tuia
Lichao Mou
Gui-Song Xia
Liangpei Zhang
Feng Xu
Friedrich Fraundorfer
1
+ PDF Chat DOTA: A Large-Scale Dataset for Object Detection in Aerial Images 2018 Gui-Song Xia
Xiang Bai
Jian Ding
Zhen Zhu
Serge Belongie
Jiebo Luo
Mihai Datcu
Marcello Pelillo
Liangpei Zhang
1
+ PDF Chat Relational Knowledge Distillation 2019 Wonpyo Park
Dongju Kim
Yan Lu
Minsu Cho
1
+ PDF Chat ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression 2017 Jian-Hao Luo
Jianxin Wu
Weiyao Lin
1
+ Fitness Based Layer Rank Selection Algorithm for Accelerating Cnns by Candecomp/Parafac (CP) Decompositions 2019 Avinab Saha
K. Sai Ram
Jayanta Mukhopadhyay
Partha Pratim Das
Amit Patra
1
+ Distributed and Randomized Tensor Train Decomposition for Feature Extraction 2019 Krzysztof Fonał
Rafał Zdunek
1
+ DecomVQANet: Decomposing visual question answering deep network via tensor decomposition and regression 2020 Zongwen Bai
Ying Li
Marcin Woźniak
Meili Zhou
Di Li
1
+ PDF Chat Stable Low-Rank Tensor Decomposition for Compression of Convolutional Neural Network 2020 Anh Huy Phan
Konstantin Sobolev
Konstantin Sozykin
Dmitry Ermilov
Julia Gusak
Petr Tichavský
Valeriy Glukhov
Ivan Oseledets
Andrzej Cichocki
1
+ PDF Chat Randomized Algorithms for Computation of Tucker Decomposition and Higher Order SVD (HOSVD) 2021 Salman Ahmadi‐Asl
Stanislav Abukhovich
Maame G. Asante-Mensah
Andrzej Cichocki
Anh Huy Phan
Toshihisa Tanaka
Ivan Oseledets
1
+ PDF Chat Towards Compact CNNs via Collaborative Compression 2021 Yuchao Li
Shaohui Lin
Jianzhuang Liu
Qixiang Ye
Mengdi Wang
Fei Chao
Fan Yang
Jincheng Ma
Qi Tian
Rongrong Ji
1
+ TRP: Trained Rank Pruning for Efficient Deep Neural Networks 2020 Yuhui Xu
Yuxi Li
Shuai Zhang
Wei Wen
Botao Wang
Yingyong Qi
Yiran Chen
Weiyao Lin
Hongkai Xiong
1
+ PDF Chat Convolutional Neural Network Compression through Generalized Kronecker Product Decomposition 2022 Marawan Gamal Abdel Hameed
Marzieh S. Tahaei
Ali Mosleh
Vahid Partovi Nia
1
+ Compressing convolutional neural networks with hierarchical Tucker-2 decomposition 2022 Mateusz Gabor
Rafał Zdunek
1