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 Yuxiao Li

Yuxiao Li
Alert button

A Deep Learning Approach for Generating Soft Range Information from RF Data


May 23, 2023
Yuxiao Li, Santiago Mazuelas, Yuan Shen

Add code
Alert button

* 021 IEEE Globecom Workshops (GC Wkshps), Madrid, Spain, 2021, pp. 1-5 
 * Published in: 2021 IEEE Globecom Workshops (GC Wkshps) 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Deep GEM-Based Network for Weakly Supervised UWB Ranging Error Mitigation


May 23, 2023
Yuxiao Li, Santiago Mazuelas, Yuan Shen

Add code
Alert button

* MILCOM 2021 - 2021 IEEE Military Communications Conference (MILCOM), San Diego, CA, USA, 2021, pp. 528-532 
 * 6 pages, 4 figures, Published in: MILCOM 2021 - 2021 IEEE Military Communications Conference (MILCOM) 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Generalized Expectation Maximization Framework for Blind Image Super Resolution


May 23, 2023
Yuxiao Li, Zhiming Wang, Yuan Shen

Add code
Alert button


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

Variational Bayesian Framework for Advanced Image Generation with Domain-Related Variables


May 23, 2023
Yuxiao Li, Santiago Mazuelas, Yuan Shen

Add code
Alert button

Figure 1 for Variational Bayesian Framework for Advanced Image Generation with Domain-Related Variables
Figure 2 for Variational Bayesian Framework for Advanced Image Generation with Domain-Related Variables
Figure 3 for Variational Bayesian Framework for Advanced Image Generation with Domain-Related Variables
* ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Singapore, Singapore, 2022, pp. 2684-2688 
 * 5 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

Benchmarking Interpretability Tools for Deep Neural Networks


Feb 08, 2023
Stephen Casper, Yuxiao Li, Jiawei Li, Tong Bu, Kevin Zhang, Dylan Hadfield-Menell

Add code
Alert button

Figure 1 for Benchmarking Interpretability Tools for Deep Neural Networks
Figure 2 for Benchmarking Interpretability Tools for Deep Neural Networks
Figure 3 for Benchmarking Interpretability Tools for Deep Neural Networks
Figure 4 for Benchmarking Interpretability Tools for Deep 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

An Improved Equiangular Division Algorithm for SBR based Ray Tracing Channel Modeling


Aug 22, 2022
Yuyang Zhou, Yinghua Wang, Yuxiao Li, Jialing Huang, Jie Huang, Cheng-Xiang Wang

Add code
Alert button

Figure 1 for An Improved Equiangular Division Algorithm for SBR based Ray Tracing Channel Modeling
Figure 2 for An Improved Equiangular Division Algorithm for SBR based Ray Tracing Channel Modeling
Figure 3 for An Improved Equiangular Division Algorithm for SBR based Ray Tracing Channel Modeling
Figure 4 for An Improved Equiangular Division Algorithm for SBR based Ray Tracing Channel Modeling
* 5 pages, 10 figures, conference 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

An Improved Ray Tracing Acceleration Algorithm Based on Bounding Volume Hierarchies


Aug 22, 2022
Chen Wang, Yinghua Wang, Yuxiao Li, Jialing Huang, Jie Huang, Cheng-Xiang Wang

Add code
Alert button

Figure 1 for An Improved Ray Tracing Acceleration Algorithm Based on Bounding Volume Hierarchies
Figure 2 for An Improved Ray Tracing Acceleration Algorithm Based on Bounding Volume Hierarchies
Figure 3 for An Improved Ray Tracing Acceleration Algorithm Based on Bounding Volume Hierarchies
Figure 4 for An Improved Ray Tracing Acceleration Algorithm Based on Bounding Volume Hierarchies
* 6 pages, 11 figures, conference 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

An SBR Based Ray Tracing Channel Modeling Method for THz and Massive MIMO Communications


Aug 22, 2022
Yuanzhe Wang, Hao Cao, Yifan Jin, Zizhe Zhou, Yinghua Wang, Jialing Huang, Yuxiao Li, Jie Huang, Cheng-Xiang Wang

Add code
Alert button

Figure 1 for An SBR Based Ray Tracing Channel Modeling Method for THz and Massive MIMO Communications
Figure 2 for An SBR Based Ray Tracing Channel Modeling Method for THz and Massive MIMO Communications
Figure 3 for An SBR Based Ray Tracing Channel Modeling Method for THz and Massive MIMO Communications
Figure 4 for An SBR Based Ray Tracing Channel Modeling Method for THz and Massive MIMO Communications
* 6 pages, 11 figures, conference 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

A 3D Non-Stationary Geometry-Based Stochastic Model for Industrial Automation Wireless Communication Systems


Aug 14, 2021
Yuxiao Li, Cheng-Xiang Wang, Yang Liu

Add code
Alert button

Figure 1 for A 3D Non-Stationary Geometry-Based Stochastic Model for Industrial Automation Wireless Communication Systems
Figure 2 for A 3D Non-Stationary Geometry-Based Stochastic Model for Industrial Automation Wireless Communication Systems
Figure 3 for A 3D Non-Stationary Geometry-Based Stochastic Model for Industrial Automation Wireless Communication Systems
Figure 4 for A 3D Non-Stationary Geometry-Based Stochastic Model for Industrial Automation Wireless Communication Systems

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

DeepKriging: Spatially Dependent Deep Neural Networks for Spatial Prediction


Jul 25, 2020
Yuxiao Li, Ying Sun, Brian J Reich

Add code
Alert button

Figure 1 for DeepKriging: Spatially Dependent Deep Neural Networks for Spatial Prediction
Figure 2 for DeepKriging: Spatially Dependent Deep Neural Networks for Spatial Prediction
Figure 3 for DeepKriging: Spatially Dependent Deep Neural Networks for Spatial Prediction
Figure 4 for DeepKriging: Spatially Dependent Deep Neural Networks for Spatial Prediction

   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
>>