Xiao Fu Lab's repositories
Antenna-Selection-and-Beamforming-with-BandB-and-ML
Machine learning accelerated Branch and Bound for Joint beamforming and antenna selection
Quantized-Radio-Map-Estimation-BTD-and-DGM
Radio Map Estimation (REM) with limited and quantized measurements.
federated_max_var_gcca
Error feedback based quantization aided and convergence guaranteed Communication Efficient Federated Linear and Deep GCCA
Frank-Wolfe-based-method-for-SD-MMV
We solve separable NMF problem under convex relaxation in the form of self-dictionary multiple measurement vectors (SD-MMV), using Frank-Wolfe algorithm. It possesses desirable identifiability properties even under noisy case while only requires a linear growth to data size in memory.
Deep-SC
Spectrum cartography via a mix of model-based and deep learning aided method.
Identifiable-UDT
Implementation of identifiable unsupervised domain translation from the paper "Towards Identifiable Unsupervised Domain Tranlsation: A diversified distribution matching approach"
multiview_and_self-supervision
multiview and self-supervised learning