Guoliang Yang

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Common Coauthors
Coauthor Papers Together
Shuaiying Yu 1
Chao Su 1
Hao Yang 1
Siming Huang 1
Jixiang Wang 1
Ziling Nie 1
Commonly Cited References
Action Title Year Authors # of times referenced
+ Minimizing Misclassifications in Linear Discriminant Analysis* 1990 Gary J. Kœhler
Ş. Selçuk Erengüç
1
+ SOME DIFFICULTIES AND IMPROVEMENTS IN APPLYING LINEAR PROGRAMMING FORMULATIONS TO THE DISCRIMINANT PROBLEM 1985 Edward P. Markowski
Carol A. Markowski
1
+ EVALUATING ALTERNATIVE LINEAR PROGRAMMING MODELS TO SOLVE THE TWO‐GROUP DISCRIMINANT PROBLEM 1986 N. Freed
Fred Glover
1
+ AN EXPERIMENTAL COMPARISON OF STATISTICAL AND LINEAR PROGRAMMING APPROACHES TO THE DISCRIMINANT PROBLEM 1982 Steve M. Bajgier
Arthur V. Hill
1
+ Improved Linear Programming Models for Discriminant Analysis* 1990 Fred Glover
1
+ Separation Failure in Linear Programming Discriminant Models 1991 Paul A. Rubin
1
+ Solving the Classification Problem in Discriminant Analysis Via Linear and Nonlinear Programming Methods* 1989 Antonie Stam
Erich A. Joachimsthaler
1
+ Notes and Communications RESOLVING CERTAIN DIFFICULTIES AND IMPROVING THE CLASSIFICATION POWER OF LP DISCRIMINANT ANALYSIS FORMULATIONS 1986 N. Freed
Fred Glover
1
+ PDF Chat Discriminant Analysis Using Least Absolute Deviations 1990 C. Y. Lee
J. Keith Ord
1
+ Theoretical Distributions of Optima for Univariate Discrimination of Random Data* 1991 Paul R. Yarnold
Robert C. Soltysik
1
+ A Comparison of Linear Programming and Parametric Approaches to the Two‐Group Discriminant Problem* 1990 Paul A. Rubin
1
+ A NEW CLASS OF MODELS FOR THE DISCRIMINANT PROBLEM 1988 Fred Glover
Sam Keene
Bob Duea
1
+ Refining Two‐Group Multivariable Classification Models Using Univariate Optimal Discriminant Analysis* 1991 Paul R. Yarnold
Robert C. Soltysik
1
+ Mathematical Programming Formulations for the Discriminant Problem: An Old Dog Does New Tricks* 1991 Cliff T. Ragsdale
Antonie Stam
1
+ An Efficient Optimal Solution Algorithm for the Classification Problem 1991 William J. Banks
P.L. Abad
1
+ PDF Chat Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
1
+ Applications and Implementation 1981 N. Freed
Fred Glover
1
+ PDF Chat ADA-Tucker: Compressing deep neural networks via adaptive dimension adjustment tucker decomposition 2018 Zhisheng Zhong
Fangyin Wei
Zhouchen Lin
Chao Zhang
1
+ PDF Chat A Style-Based Generator Architecture for Generative Adversarial Networks 2019 Tero Karras
Samuli Laine
Timo Aila
1
+ Automated Multi-Stage Compression of Neural Networks 2019 Julia Gusak
Maksym Kholiavchenko
Evgeny Ponomarev
Larisa Markeeva
Philip Blagoveschensky
Andrzej Cichocki
Ivan Oseledets
1
+ Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey 2020 Lei Deng
Guoqi Li
Song Han
Luping Shi
Yuan Xie
1
+ PDF Chat HRank: Filter Pruning Using High-Rank Feature Map 2020 Mingbao Lin
Rongrong Ji
Yan Wang
Yichen Zhang
Baochang Zhang
Yonghong Tian
Ling Shao
1
+ PDF Chat ZeroQ: A Novel Zero Shot Quantization Framework 2020 Yaohui Cai
Zhewei Yao
Zhen Dong
Amir Gholami
Michael W. Mahoney
Kurt Keutzer
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 TichavskĂ˝
Valeriy Glukhov
Ivan Oseledets
Andrzej Cichocki
1
+ PDF Chat Generative Low-Bitwidth Data Free Quantization 2020 Shoukai Xu
Haokun Li
Bohan Zhuang
Jing Liu
Jiezhang Cao
Chuangrun Liang
Mingkui Tan
1
+ PDF Chat Hardware for machine learning: Challenges and opportunities 2017 Vivienne Sze
Yu‐Hsin Chen
Joel Emer
Amr Suleiman
Zhengdong Zhang
1
+ PDF Chat A survey of modern deep learning based object detection models 2022 Syed Sahil Abbas Zaidi
Mohd. Samar Ansari
Asra Aslam
Nadia Kanwal
Mamoona Naveed Asghar
Brian Lee
1
+ PDF Chat Dynamic Head: Unifying Object Detection Heads with Attentions 2021 Xiyang Dai
Yinpeng Chen
Bin Xiao
Dongdong Chen
Mengchen Liu
Lu Yuan
Lei Zhang
1
+ PDF Chat Distilling Knowledge via Knowledge Review 2021 Pengguang Chen
Shu Liu
Hengshuang Zhao
Jiaya Jia
1
+ PDF Chat An impact of tensor-based data compression methods on deep neural network accuracy 2021 Jakub Grabek
Bogusław Cyganek
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
+ PDF Chat Fast CP‐compression layer: Tensor CP‐decomposition to compress layers in deep learning 2022 Yuwang Ji
Qiang Wang
1
+ PDF Chat CHEX: CHannel EXploration for CNN Model Compression 2022 Zejiang Hou
Minghai Qin
Fei Sun
Xiaolong Ma
Kun Yuan
Yi Xu
Yen-Kuang Chen
Rong Jin
Yuan Xie
Sun‐Yuan Kung
1
+ PDF Chat Deep Learning Enabled Semantic Communications With Speech Recognition and Synthesis 2023 Zhenzi Weng
Zhijin Qin
Xiaoming Tao
Chengkang Pan
Guangyi Liu
Geoffrey Ye Li
1
+ PDF Chat Class Attention Transfer Based Knowledge Distillation 2023 Ziyao Guo
Haonan Yan
Hui Li
Xiaodong Lin
1
+ PDF Chat DepGraph: Towards Any Structural Pruning 2023 Gongfan Fang
Xinyin Ma
Mingli Song
Michael Bi Mi
Xinchao Wang
1