29 citations · 29 across the 6 of their papers we have counts for
7 papers
Completing Radio Map Tensors via Factor Diffusion Posterior Sampling
Le Xu, Rajesh Shrestha, Xiao Fu
Radio map estimation (RME), also known as spectrum cartography, aims to recover radio signal strength across multiple domains (e.g., spatial and spectral domains) from sparse measu…
Radio Map Estimation via Latent Domain Plug-and-Play Denoising
Le Xu, Lei Cheng, Junting Chen +2
Radio map estimation (RME), also known as spectrum cartography, aims to reconstruct the strength of radio interference across different domains (e.g., space and frequency) from spa…
ASMR: Activation-sharing Multi-resolution Coordinate Networks For Efficient Inference
Jason Chun Lok Li, Steven Tin Sui Luo, Le Xu +1
Coordinate network or implicit neural representation (INR) is a fast-emerging method for encoding natural signals (such as images and videos) with the benefits of a compact neural…
Overcoming Beam Squint in Dual-Wideband mmWave MIMO Channel Estimation: A Bayesian Multi-Band Sparsity Approach
Le Xu, Lei Cheng, Ngai Wong +2
The beam squint effect, which manifests in different steering matrices in different sub-bands, has been widely considered a challenge in millimeter wave (mmWave) multiinput multi-o…
To Fold or Not to Fold: Graph Regularized Tensor Train for Visual Data Completion
Le Xu, Lei Cheng, Ngai Wong +1
Tensor train (TT) representation has achieved tremendous success in visual data completion tasks, especially when it is combined with tensor folding. However, folding an image or v…
Output-Dependent Gaussian Process State-Space Model
Zhidi Lin, Lei Cheng, Feng Yin +2
Gaussian process state-space model (GPSSM) is a fully probabilistic state-space model that has attracted much attention over the past decade. However, the outputs of the transition…
Tensor Train Factorization and Completion under Noisy Data with Prior Analysis and Rank Estimation
Le Xu, Lei Cheng, Ngai Wong +1
Tensor train (TT) decomposition, a powerful tool for analyzing multidimensional data, exhibits superior performance in many machine learning tasks. However, existing methods for TT…