11 citations · 13 across the 7 of their papers we have counts for
11 papers
IIns-VAE+: A Robust Transfer Learning Framework for Environmental Identification in Wireless Sensing
Yuxiao Li, Keke Hu, Bobai Zhao +2
Environmental identification in wireless sensing is essential for 6G integrated sensing and communication (ISAC) systems to achieve reliable situational awareness. However, deep le…
A Deep Generative Model for Synthesizing Labeled Wireless Signals
Yuxiao Li, Keke Hu, Santiago Mazuelas +1
Wireless signals with position-related labels are pivotal for both performance evaluation and model training in the realm of wireless sensing. However, acquiring real-world dataset…
A Semi-Supervised Learning Approach for Ranging Error Mitigation Based on UWB Waveform
Yuxiao Li, Santiago Mazuelas, Yuan Shen
Localization systems based on ultra-wide band (UWB) measurements can have unsatisfactory performance in harsh environments due to the presence of non-line-of-sight (NLOS) errors. L…
Deep Generative Model for Simultaneous Range Error Mitigation and Environment Identification
Yuxiao Li, Santiago Mazuelas, Yuan Shen
Received waveforms contain rich information for both range information and environment semantics. However, its full potential is hard to exploit under multipath and non-line-of-sig…
A Deep Learning Approach for Generating Soft Range Information from RF Data
Yuxiao Li, Santiago Mazuelas, Yuan Shen
Radio frequency (RF)-based techniques are widely adopted for indoor localization despite the challenges in extracting sufficient information from measurements. Soft range informati…
Deep GEM-Based Network for Weakly Supervised UWB Ranging Error Mitigation
Yuxiao Li, Santiago Mazuelas, Yuan Shen
Ultra-wideband (UWB)-based techniques, while becoming mainstream approaches for high-accurate positioning, tend to be challenged by ranging bias in harsh environments. The emerging…
Generalized Expectation Maximization Framework for Blind Image Super Resolution
Yuxiao Li, Zhiming Wang, Yuan Shen
Learning-based methods for blind single image super resolution (SISR) conduct the restoration by a learned mapping between high-resolution (HR) images and their low-resolution (LR)…
Variational Bayesian Framework for Advanced Image Generation with Domain-Related Variables
Yuxiao Li, Santiago Mazuelas, Yuan Shen
Deep generative models (DGMs) and their conditional counterparts provide a powerful ability for general-purpose generative modeling of data distributions. However, it remains chall…
DeepKriging: Spatially Dependent Deep Neural Networks for Spatial Prediction
Wanfang Chen, Yuxiao Li, Brian J Reich +1
In spatial statistics, a common objective is to predict values of a spatial process at unobserved locations by exploiting spatial dependence. Kriging provides the best linear unbia…
A Multi-Site Stochastic Weather Generator for High-Frequency Precipitation Using Censored Skew-Symmetric Distribution
Yuxiao Li, Ying Sun
Stochastic weather generators (SWGs) are digital twins of complex weather processes and widely used in agriculture and urban design. Due to improved measuring instruments, an accur…
Large-scale Environmental Data Science with ExaGeoStatR
Sameh Abdulah, Yuxiao Li, Jian Cao +4
Parallel computing in Gaussian process calculations becomes necessary for avoiding computational and memory restrictions associated with large-scale environmental data science appl…