
CommunicationEfficient Distributed Linear and Deep Generalized Canonical Correlation Analysis
Classic and deep learningbased generalized canonical correlation analys...
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MemoryEfficient Convex Optimization for SelfDictionary Separable Nonnegative Matrix Factorization: A FrankWolfe Approach
Nonnegative matrix factorization (NMF) often relies on the separability ...
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IdentifiabilityGuaranteed SimplexStructured PostNonlinear Mixture Learning via Autoencoder
This work focuses on the problem of unraveling nonlinearly mixed latent ...
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Crowdsourcing via Annotator Cooccurrence Imputation and Provable Symmetric Nonnegative Matrix Factorization
Unsupervised learning of the DawidSkene (D S) model from noisy, incom...
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Latent CorrelationBased Multiview Learning and SelfSupervision: A Unifying Perspective
Multiple views of data, both naturally acquired (e.g., image and audio) ...
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Learning to Continuously Optimize Wireless Resource in a Dynamic Environment: A Bilevel Optimization Perspective
There has been a growing interest in developing datadriven, and in part...
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Stochastic BlockADMM for Training Deep Networks
In this paper, we propose Stochastic BlockADMM as an approach to train ...
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Deep Spectrum Cartography: Completing Radio Map Tensors Using Learned Neural Models
The spectrum cartography (SC) technique constructs multidomain (e.g., f...
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Stochastic Mirror Descent for LowRank Tensor Decomposition Under NonEuclidean Losses
This work considers lowrank canonical polyadic decomposition (CPD) unde...
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Hyperspectral Denoising Using Unsupervised Disentangled SpatioSpectral Deep Priors
Image denoising is often empowered by accurate prior information. In rec...
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StatEcoNet: Statistical Ecology Neural Networks for Species Distribution Modeling
This paper focuses on a core task in computational sustainability and st...
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A More Efficient Chinese Named Entity Recognition base on BERT and Syntactic Analysis
We propose a new Named entity recognition (NER) method to effectively ma...
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Mixed Membership Graph Clustering via Systematic Edge Query
This work considers clustering nodes of a largely incomplete graph. Unde...
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Learning to Continuously Optimize Wireless Resource In Episodically Dynamic Environment
There has been a growing interest in developing datadriven and in parti...
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Recovering Joint Probability of Discrete Random Variables from Pairwise Marginals
Learning the joint probability of random variables (RVs) lies at the hea...
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Nonconvex Optimization Tools for LargeScale Matrix and Tensor Decomposition with Structured Factors
The proposed article aims at offering a comprehensive tutorial for the c...
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On Recoverability of Randomly Compressed Tensors with Low CP Rank
Our interest lies in the recoverability properties of compressed tensors...
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Crowdsourcing via Pairwise Cooccurrences: Identifiability and Algorithms
The data deluge comes with high demands for data labeling. Crowdsourcing...
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Neural NetworkAssisted Nonlinear Multiview Component Analysis: Identifiability and Algorithm
Multiview analysis aims at extracting shared latent components from data...
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Hyperspectral SuperResolution via GlobalLocal LowRank Matrix Estimation
Hyperspectral superresolution (HSR) is a problem that aims to estimate ...
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Multiuser Video Streaming Rate Adaptation: A Physical Layer ResourceAware Deep Reinforcement Learning Approach
We consider a multiuser video streaming service optimization problem ov...
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BlockRandomized Stochastic Proximal Gradient for LowRank Tensor Factorization
This work considers the problem of computing the canonical polyadic deco...
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Learning Nonlinear Mixtures: Identifiability and Algorithm
Linear mixture models have proven very useful in a plethora of applicati...
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Structured SUMCOR Multiview Canonical Correlation Analysis for LargeScale Data
The sumofcorrelations (SUMCOR) formulation of generalized canonical co...
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Timing Channel in IaaS: How to Identify and Investigate
Recently, the IaaS (Infrastructure as a Service) Cloud (e.g., Amazon EC2...
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Nonnegative Matrix Factorization for Signal and Data Analytics: Identifiability, Algorithms, and Applications
Nonnegative matrix factorization (NMF) has become a workhorse for signal...
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Learning Hidden Markov Models from Pairwise Cooccurrences with Applications to Topic Modeling
We present a new algorithm for identifying the transition and emission p...
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Limited Feedback Channel Estimation in Massive MIMO with Nonuniform Directional Dictionaries
Channel state information (CSI) at the base station (BS) is crucial to a...
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Penalty Dual Decomposition Method For Nonsmooth Nonconvex Optimization
Many contemporary signal processing, machine learning and wireless commu...
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Tensors, Learning, and 'Kolmogorov Extension' for Finitealphabet Random Vectors
Estimating the joint probability mass function (PMF) of a set of random ...
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On Convergence of Epanechnikov Mean Shift
Epanechnikov Mean Shift is a simple yet empirically very effective algor...
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On Identifiability of Nonnegative Matrix Factorization
In this letter, we propose a new identification criterion that guarantee...
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AnchorFree Correlated Topic Modeling: Identifiability and Algorithm
In topic modeling, many algorithms that guarantee identifiability of the...
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Robust Volume MinimizationBased Matrix Factorization for Remote Sensing and Document Clustering
This paper considers volume minimization (VolMin)based structured matri...
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Tensor Decomposition for Signal Processing and Machine Learning
Tensors or multiway arrays are functions of three or more indices (i,j...
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Scalable and Flexible Multiview MAXVAR Canonical Correlation Analysis
Generalized canonical correlation analysis (GCCA) aims at finding latent...
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Learning From Hidden Traits: Joint Factor Analysis and Latent Clustering
Dimensionality reduction techniques play an essential role in data analy...
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Semiblind Hyperspectral Unmixing in the Presence of Spectral Library Mismatches
The dictionaryaided sparse regression (SR) approach has recently emerge...
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Xiao Fu
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Assitant Professor in the School of Electrical Engineering and Computer Science at Oregon State University since 2017, Postdoctoral Associate at University of Minnesota since 2014, Ph.D. student at Chinese University of Hong Kong from 20102014, Engineer at China Telecom Corporation Limited Guangdong Branch 20052006