895 citations · 1.8k across the 23 of their papers we have counts for
24 papers
Probabilistic Simplex Component Analysis
Ruiyuan Wu, Wing-Kin Ma, Yuening Li +2
This study presents PRISM, a probabilistic simplex component analysis approach to identifying the vertices of a data-circumscribing simplex from data. The problem has a rich variet…
STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization
Nikos Kargas, Cheng Qian, Nicholas D. Sidiropoulos +3
Accurate prediction of the transmission of epidemic diseases such as COVID-19 is crucial for implementing effective mitigation measures. In this work, we develop a tensor method to…
Exactness of OPF Relaxation on Three-phase Radial Networks with Delta Connections
Fengyu Zhou, Ahmed S. Zamzam, Steven H. Low +1
Simulations have shown that while semi-definite relaxations of AC optimal power flow (AC-OPF) on three-phase radial networks with only wye connections tend to be exact, the presenc…
Cell-Edge Detection via Selective Cooperation and Generalized Canonical Correlation
Mohamed Salah Ibrahim, Ahmed S. Zamzam, Aritra Konar +1
Improving the uplink quality of service for users located around the boundaries between cells is a key challenge in LTE systems. Relying on power control, existing approaches throt…
GRATE: Granular Recovery of Aggregated Tensor Data by Example
Ahmed S. Zamzam, Bo Yang, Nicholas D. Sidiropoulos
In this paper, we address the challenge of recovering an accurate breakdown of aggregated tensor data using disaggregation examples. This problem is motivated by several applicatio…
Generalized Canonical Correlation Analysis: A Subspace Intersection Approach
Mikael Sørensen, Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos
Generalized Canonical Correlation Analysis (GCCA) is an important tool that finds numerous applications in data mining, machine learning, and artificial intelligence. It aims at fi…
Reliable Detection of Unknown Cell-Edge Users Via Canonical Correlation Analysis
Mohamed Salah Ibrahim, Nicholas D. Sidiropoulos
Providing reliable service to users close to the edge between cells remains a challenge in cellular systems, even as 5G deployment is around the corner. These users are subject to…
Fast Algorithms for Joint Multicast Beamforming and Antenna Selection in Massive MIMO
Mohamed Salah Ibrahim, Aritra Konar, Nicholas D. Sidiropoulos
Massive MIMO is currently a leading physical layer technology candidate that can dramatically enhance throughput in 5G systems, for both unicast and multicast transmission modaliti…
REP: Predicting the Time-Course of Drug Sensitivity
Cheng Qian, Amin Emad, Nicholas D. Sidiropoulos
The biological processes involved in a drug's mechanisms of action are oftentimes dynamic, complex and difficult to discern. Time-course gene expression data is a rich source of in…
Amplitude Retrieval for Channel Estimation of MIMO Systems with One-Bit ADCs
Cheng Qian, Xiao Fu, Nicholas D. Sidiropoulos
This letter revisits the channel estimation problem for MIMO systems with one-bit analog-to-digital converters (ADCs) through a novel algorithm--Amplitude Retrieval (AR). Unlike th…
Nonlinear System Identification via Tensor Completion
Nikos Kargas, Nicholas D. Sidiropoulos
Function approximation from input and output data pairs constitutes a fundamental problem in supervised learning. Deep neural networks are currently the most popular method for lea…
Algebraic Channel Estimation Algorithms for FDD Massive MIMO systems
Cheng Qian, Xiao Fu, Nicholas D. Sidiropoulos
We consider downlink (DL) channel estimation for frequency division duplex based massive MIMO systems under the multipath model. Our goal is to provide fast and accurate channel es…
Data-Driven Learning-Based Optimization for Distribution System State Estimation
Ahmed S. Zamzam, Xiao Fu, Nicholas D. Sidiropoulos
Distribution system state estimation (DSSE) is a core task for monitoring and control of distribution networks. Widely used algorithms such as Gauss-Netwon perform poorly with the…
Tensor-Based Channel Estimation for Dual-Polarized Massive MIMO Systems
Cheng Qian, Xiao Fu, Nicholas D. Sidiropoulos +1
The 3GPP suggests to combine dual polarized (DP) antenna arrays with the double directional (DD) channel model for downlink channel estimation. This combination strikes a good bala…
Structured SUMCOR Multiview Canonical Correlation Analysis for Large-Scale Data
Charilaos I. Kanatsoulis, Xiao Fu, Nicholas D. Sidiropoulos +1
The sum-of-correlations (SUMCOR) formulation of generalized canonical correlation analysis (GCCA) seeks highly correlated low-dimensional representations of different views via max…
Hyperspectral Super-Resolution: A Coupled Tensor Factorization Approach
Charilaos I. Kanatsoulis, Xiao Fu, Nicholas D. Sidiropoulos +1
Hyperspectral super-resolution refers to the problem of fusing a hyperspectral image (HSI) and a multispectral image (MSI) to produce a super-resolution image (SRI) that has fine s…
Nonnegative Matrix Factorization for Signal and Data Analytics: Identifiability, Algorithms, and Applications
Xiao Fu, Kejun Huang, Nicholas D. Sidiropoulos +1
Nonnegative matrix factorization (NMF) has become a workhorse for signal and data analytics, triggered by its model parsimony and interpretability. Perhaps a bit surprisingly, the…
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 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…
Optimal Water-Power Flow Problem: Formulation and Distributed Optimal Solution
Ahmed S. Zamzam, Emiliano Dall'Anese, Changhong Zhao +2
This paper formalizes an optimal water-power flow (OWPF) problem to optimize the use of controllable assets across power and water systems while accounting for the couplings betwee…
Power System State Estimation via Feasible Point Pursuit: Algorithms and Cramer-Rao Bound
Gang Wang, Ahmed S. Zamzam, Georgios B. Giannakis +1
Accurately monitoring the system's operating point is central to the reliable and economic operation of an electric power grid. Power system state estimation (PSSE) aims to obtain…
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…
Beyond Relaxation and Newton-Raphson: Solving AC OPF for Multi-phase Systems with Renewables
Ahmed S. Zamzam, Nicholas D. Sidiropoulos, Emiliano Dall'Anese
This paper focuses on the AC Optimal Power Flow (OPF) problem for multi-phase systems. Particular emphasis is given to systems with high integration of renewables, where adjustment…