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

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

Constrained Optimization Involving Nonconvex $\ell_p$ Norms: Optimality Conditions, Algorithm and Convergence


Oct 27, 2021
Hao Wang, Yining Gao, Jiashan Wang, Hongying Liu


   Access Paper or Ask Questions

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

Behavior Mimics Distribution: Combining Individual and Group Behaviors for Federated Learning


Jun 23, 2021
Hua Huang, Fanhua Shang, Yuanyuan Liu, Hongying Liu

* This paper has been accepted by International Joint Conference on Artificial Intelligence (IJCAI) 2021 

   Access Paper or Ask Questions

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

Learned Interpretable Residual Extragradient ISTA for Sparse Coding


Jun 22, 2021
Lin Kong, Wei Sun, Fanhua Shang, Yuanyuan Liu, Hongying Liu

* Accepted for presentation at the ICML Workshop on Theoretic Foundation, Criticism, and Application Trend of Explainable AI 

   Access Paper or Ask Questions

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

Quantized Neural Networks via {-1, +1} Encoding Decomposition and Acceleration


Jun 18, 2021
Qigong Sun, Xiufang Li, Fanhua Shang, Hongying Liu, Kang Yang, Licheng Jiao, Zhouchen Lin

* arXiv admin note: substantial text overlap with arXiv:1905.13389 

   Access Paper or Ask Questions

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

Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling


Mar 22, 2021
Hongying Liu, Peng Zhao, Zhubo Ruan, Fanhua Shang, Yuanyuan Liu

* Accepted by AAAI 2021 

   Access Paper or Ask Questions

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

Differentially Private ADMM Algorithms for Machine Learning


Oct 31, 2020
Tao Xu, Fanhua Shang, Yuanyuan Liu, Hongying Liu, Longjie Shen, Maoguo Gong

* 11 pages, 2 figures 

   Access Paper or Ask Questions

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

Boosting Gradient for White-Box Adversarial Attacks


Oct 21, 2020
Hongying Liu, Zhenyu Zhou, Fanhua Shang, Xiaoyu Qi, Yuanyuan Liu, Licheng Jiao

* 9 pages,6 figures 

   Access Paper or Ask Questions

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

A Single Frame and Multi-Frame Joint Network for 360-degree Panorama Video Super-Resolution


Aug 24, 2020
Hongying Liu, Zhubo Ruan, Chaowei Fang, Peng Zhao, Fanhua Shang, Yuanyuan Liu, Lijun Wang

* 10 pages, 5 figures, submitted to an international peer-review journal 

   Access Paper or Ask Questions

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

Video Super Resolution Based on Deep Learning: A comprehensive survey


Jul 25, 2020
Hongying Liu, Zhubo Ruan, Peng Zhao, Fanhua Shang, Linlin Yang, Yuanyuan Liu


   Access Paper or Ask Questions

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

Efficient Relaxed Gradient Support Pursuit for Sparsity Constrained Non-convex Optimization


Dec 02, 2019
Fanhua Shang, Bingkun Wei, Hongying Liu, Yuanyuan Liu, Jiacheng Zhuo

* 7 pages, 3 figures, Appeared at the Data Science Meets Optimization Workshop (DSO) at IJCAI'19 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email
1
2
>>