Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

Supervised Homogeneity Fusion: a Combinatorial Approach


Jan 04, 2022
Wen Wang, Shihao Wu, Ziwei Zhu, Ling Zhou, Peter X. -K. Song


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Region attention and graph embedding network for occlusion objective class-based micro-expression recognition


Jul 13, 2021
Qirong Mao, Ling Zhou, Wenming Zheng, Xiuyan Shao, Xiaohua Huang


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Feature refinement: An expression-specific feature learning and fusion method for micro-expression recognition


Jan 13, 2021
Ling Zhou, Qirong Mao, Xiaohua Huang, Feifei Zhang, Zhihong Zhang


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Objective Class-based Micro-Expression Recognition through Simultaneous Action Unit Detection and Feature Aggregation


Dec 24, 2020
Ling Zhou, Qirong Mao, Ming Dong


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Method of Contraction-Expansion (MOCE) for Simultaneous Inference in Linear Models


Aug 04, 2019
Fei Wang, Ling Zhou, Lu Tang, Peter X. -K. Song


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Understanding over-parameterized deep networks by geometrization


Feb 11, 2019
Xiao Dong, Ling Zhou

* 6 pages 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Geometrization of deep networks for the interpretability of deep learning systems


Jan 13, 2019
Xiao Dong, Ling Zhou

* 9 pages, draft version 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Reducing Parameter Space for Neural Network Training


Aug 17, 2018
Tong Qin, Ling Zhou, Dongbin Xiu

* 17 pages, 8 figures 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Demystifying AlphaGo Zero as AlphaGo GAN


Nov 24, 2017
Xiao Dong, Jiasong Wu, Ling Zhou

* 3 pages, 1 figure 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

How deep learning works --The geometry of deep learning


Oct 30, 2017
Xiao Dong, Jiasong Wu, Ling Zhou

* 16 pages, 13 figures 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email