1.7k citations · 5.2k across the 50 of their papers we have counts for
6 papers · 1 filter
Penalty Dual Decomposition Method For Nonsmooth Nonconvex Optimization
Qingjiang Shi, Mingyi Hong, Xiao Fu +1
Many contemporary signal processing, machine learning and wireless communication applications can be formulated as nonconvex nonsmooth optimization problems. Often there is a lack…
Limited Feedback Channel Estimation in Massive MIMO with Non-uniform Directional Dictionaries
Panos N. Alevizos, Xiao Fu, Nicholas D. Sidiropoulos +2
Channel state information (CSI) at the base station (BS) is crucial to achieve beamforming and multiplexing gains in multiple-input multiple-output (MIMO) systems. State-of-the-art…
Tensors, Learning, and 'Kolmogorov Extension' for Finite-alphabet Random Vectors
Nikos Kargas, Nicholas D. Sidiropoulos, Xiao Fu
Estimating the joint probability mass function (PMF) of a set of random variables lies at the heart of statistical learning and signal processing. Without structural assumptions, s…
On Convergence of Epanechnikov Mean Shift
Kejun Huang, Xiao Fu, Nicholas D. Sidiropoulos
Epanechnikov Mean Shift is a simple yet empirically very effective algorithm for clustering. It localizes the centroids of data clusters via estimating modes of the probability dis…
On Identifiability of Nonnegative Matrix Factorization
Xiao Fu, Kejun Huang, Nicholas D. Sidiropoulos
In this letter, we propose a new identification criterion that guarantees the recovery of the low-rank latent factors in the nonnegative matrix factorization (NMF) model, under mil…
Learning to Optimize: Training Deep Neural Networks for Wireless Resource Management
Haoran Sun, Xiangyi Chen, Qingjiang Shi +3
For the past couple of decades, numerical optimization has played a central role in addressing wireless resource management problems such as power control and beamformer design. Ho…