
Tensor Factor Model Estimation by Iterative Projection
Tensor time series, which is a time series consisting of tensorial obser...
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MultiTask Learning Enhanced Single Image DeRaining
Rain removal in images is an important task in computer vision filed and...
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Modeling Multivariate SpatialTemporal Data with Latent LowDimensional Dynamics
Highdimensional multivariate spatialtemporal data arise frequently in ...
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Hybrid Kronecker Product Decomposition and Approximation
Discovering the underlying low dimensional structure of high dimensional...
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KoPA: Automated Kronecker Product Approximation
We consider matrix approximation induced by the Kronecker product decomp...
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Land Cover Change Detection via Semantic Segmentation
This paper presents a change detection method that identifies land cover...
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Stable Matrix Completion using Properly Configured Kronecker Product Decomposition
Matrix completion problems are the problems of recovering missing entrie...
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State Space Emulation and Annealed Sequential Monte Carlo for High Dimensional Optimization
Many high dimensional optimization problems can be reformulated into a p...
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Individualized Group Learning
Many massive data are assembled through collections of information of a ...
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Factor Models for HighDimensional Tensor Time Series
Large tensor (multidimensional array) data are now routinely collected ...
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Modeling Dynamic Transport Network with Matrix Factor Models: with an Application to International Trade Flow
International trade research plays an important role to inform trade pol...
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Autoregressive Models for MatrixValued Time Series
In finance, economics and many other fields, observations in a matrix fo...
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BiGANsST for Perceptual Image Superresolution
Image quality measurement is a critical problem for image superresoluti...
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SCCrFMQ Learning in Cooperative Markov Games with Continuous Actions
Although many reinforcement learning methods have been proposed for lear...
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Threshold factor models for highdimensional time series
We consider a threshold factor model for highdimensional time series in...
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A DataDriven Approach to Extract Connectivity Structures from Diffusion Tensor Imaging Data
Diffusion Tensor Imaging (DTI) is an effective tool for the analysis of ...
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Rong Chen
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