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

Chrome logo  Add to Chrome

Firefox logo Add to Firefox
Picture for Xiao Huang

Xiao Huang

FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs


May 07, 2022
Song Wang , Yushun Dong , Xiao Huang , Chen Chen , Jundong Li

Figure 1 for FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs
Figure 2 for FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs
Figure 3 for FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs
Figure 4 for FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs
* IJCAI-ECAI 2022 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs


Jan 07, 2022
Qiaoyu Tan , Ninghao Liu , Xiao Huang , Rui Chen , Soo-Hyun Choi , Xia Hu

Figure 1 for MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs
Figure 2 for MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs
Figure 3 for MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs
Figure 4 for MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Spatio-temporal-spectral-angular observation model that integrates observations from UAV and mobile mapping vehicle for better urban mapping


Sep 05, 2021
Zhenfeng Shao , Gui Cheng , Deren Li , Xiao Huang , Zhipeng Lu , Jian Liu

Figure 1 for Spatio-temporal-spectral-angular observation model that integrates observations from UAV and mobile mapping vehicle for better urban mapping
Figure 2 for Spatio-temporal-spectral-angular observation model that integrates observations from UAV and mobile mapping vehicle for better urban mapping
Figure 3 for Spatio-temporal-spectral-angular observation model that integrates observations from UAV and mobile mapping vehicle for better urban mapping
Figure 4 for Spatio-temporal-spectral-angular observation model that integrates observations from UAV and mobile mapping vehicle for better urban mapping

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Dirichlet Energy Constrained Learning for Deep Graph Neural Networks


Jul 06, 2021
Kaixiong Zhou , Xiao Huang , Daochen Zha , Rui Chen , Li Li , Soo-Hyun Choi , Xia Hu

Figure 1 for Dirichlet Energy Constrained Learning for Deep Graph Neural Networks
Figure 2 for Dirichlet Energy Constrained Learning for Deep Graph Neural Networks
Figure 3 for Dirichlet Energy Constrained Learning for Deep Graph Neural Networks
Figure 4 for Dirichlet Energy Constrained Learning for Deep Graph Neural Networks

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

GLSD: The Global Large-Scale Ship Database and Baseline Evaluations


Jun 05, 2021
Zhenfeng Shao , Jiaming Wang , Lianbing Deng , Xiao Huang , Tao Lu , Ruiqian Zhang , Xianwei Lv , Qing Ding , Zhiqiang Wang

Figure 1 for GLSD: The Global Large-Scale Ship Database and Baseline Evaluations
Figure 2 for GLSD: The Global Large-Scale Ship Database and Baseline Evaluations
Figure 3 for GLSD: The Global Large-Scale Ship Database and Baseline Evaluations
Figure 4 for GLSD: The Global Large-Scale Ship Database and Baseline Evaluations
* 9 pages, 5 figures 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Pan-sharpening via High-pass Modification Convolutional Neural Network


May 24, 2021
Jiaming Wang , Zhenfeng Shao , Xiao Huang , Tao Lu , Ruiqian Zhang , Jiayi Ma

Figure 1 for Pan-sharpening via High-pass Modification Convolutional Neural Network
Figure 2 for Pan-sharpening via High-pass Modification Convolutional Neural Network
Figure 3 for Pan-sharpening via High-pass Modification Convolutional Neural Network
Figure 4 for Pan-sharpening via High-pass Modification Convolutional Neural Network
* 5 pages, 5 figures, accepted by the 28th IEEE International Conference on Image Processing (ICIP 2021) 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

SSCAN: A Spatial-spectral Cross Attention Network for Hyperspectral Image Denoising


May 23, 2021
Zhiqiang Wang , Zhenfeng Shao , Xiao Huang , Jiaming Wang , Tao Lu , Sihang Zhang

Figure 1 for SSCAN: A Spatial-spectral Cross Attention Network for Hyperspectral Image Denoising
Figure 2 for SSCAN: A Spatial-spectral Cross Attention Network for Hyperspectral Image Denoising
Figure 3 for SSCAN: A Spatial-spectral Cross Attention Network for Hyperspectral Image Denoising
Figure 4 for SSCAN: A Spatial-spectral Cross Attention Network for Hyperspectral Image Denoising
* 5 pages, 5 figures, submitted to IEEE Signal Processing Letters 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Unsupervised Remote Sensing Super-Resolution via Migration Image Prior


May 23, 2021
Jiaming Wang , Zhenfeng Shao , Tao Lu , Xiao Huang , Ruiqian Zhang , Yu Wang

Figure 1 for Unsupervised Remote Sensing Super-Resolution via Migration Image Prior
Figure 2 for Unsupervised Remote Sensing Super-Resolution via Migration Image Prior
Figure 3 for Unsupervised Remote Sensing Super-Resolution via Migration Image Prior
Figure 4 for Unsupervised Remote Sensing Super-Resolution via Migration Image Prior
* 6 pages, 4 figures. IEEE International Conference on Multimedia and Expo (ICME) 2021 
   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
3
4
>>