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05/25/2023
Stecformer: Spatio-temporal Encoding Cascaded Transformer for Multivariate Long-term Time Series Forecasting
Multivariate long-term time series forecasting is of great application a...
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05/02/2023
AxWin Transformer: A Context-Aware Vision Transformer Backbone with Axial Windows
Recently Transformer has shown good performance in several vision tasks ...
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05/01/2023
PRSeg: A Lightweight Patch Rotate MLP Decoder for Semantic Segmentation
The lightweight MLP-based decoder has become increasingly promising for ...
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03/06/2023
Extreme eigenvalues of sample covariance matrices under generalized elliptical models with applications
We consider the extreme eigenvalues of the sample covariance matrix Q=YY...
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09/21/2022
HiFuse: Hierarchical Multi-Scale Feature Fusion Network for Medical Image Classification
Medical image classification has developed rapidly under the impetus of ...
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09/17/2022
TripleRE: Knowledge Graph Embeddings via Tripled Relation Vectors
Translation-based knowledge graph embedding has been one of the most imp...
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08/18/2022
Matrix Quantile Factor Model
In this paper, we introduce a matrix quantile factor model for matrix se...
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07/20/2022
Matrix Kendall's tau in High-dimensions: A Robust Statistic for Matrix Factor Model
In this article, we first propose generalized row/column matrix Kendall'...
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02/13/2022
Testing the number of common factors by bootstrap in high-dimensional factor models
This paper proposes to test the number of common factors in high-dimensi...
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12/27/2021
Online Change-point Detection for Matrix-valued Time Series with Latent Two-way Factor Structure
This paper proposes a novel methodology for the online detection of chan...
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12/08/2021
Statistical Inference for Large-dimensional Matrix Factor Model from Least Squares and Huber Loss Points of View
In the article we focus on large-dimensional matrix factor models and pr...
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10/03/2021
Vector or Matrix Factor Model? A Strong Rule Helps!
This paper investigates the issue of determining the dimensions of row a...
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05/27/2021
Central Limit Theory for Linear Spectral Statistics of Normalized Separable Sample Covariance Matrix
This paper focuses on the separable covariance matrix when the dimension...
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09/26/2020
DT-Net: A novel network based on multi-directional integrated convolution and threshold convolution
Since medical image data sets contain few samples and singular features,...
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03/25/2020
A New Multiple Max-pooling Integration Module and Cross Multiscale Deconvolution Network Based on Image Semantic Segmentation
To better retain the deep features of an image and solve the sparsity pr...
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03/23/2020
Projected Estimation for Large-dimensional Matrix Factor Models
Large-dimensional factor models are drawing growing attention and widely...
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01/29/2020
Network-Assisted Estimation for Large-dimensional Factor Model with Guaranteed Convergence Rate Improvement
Network structure is growing popular for capturing the intrinsic relatio...
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08/14/2019
Large-dimensional Factor Analysis without Moment Constraints
Large-dimensional factor model has drawn much attention in the big-data ...
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09/03/2018
Entanglement-assisted quantum codes from Galois LCD codes
Entanglement-assisted quantum error-correcting codes (EAQECCs) make use ...
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08/28/2018
Robust Factor Number Specification for Large-dimensional Factor Model
The accurate specification of the number of factors is critical to the v...
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05/28/2018