Publications (35)
PPC-MT: Parallel Point Cloud Completion with Mamba-Transformer Hybrid Architecture
Jie Li, Shengwei Tian, Long Yu +1
Existing point cloud completion methods struggle to balance high-quality reconstruction with computational efficiency. To address this, we propose PPC-MT, a novel parallel framewor…
One-way or Two-way Factor Model for Matrix Sequences?
Yong He, Xin-bing Kong, Lorenzo Trapani +1
This paper investigates the issue of determining the dimensions of row and column factor spaces in matrix-valued data. Exploiting the eigen-gap in the spectrum of sample second mom…
A New Multiple Max-pooling Integration Module and Cross Multiscale Deconvolution Network Based on Image Semantic Segmentation
Hongfeng You, Shengwei Tian, Long Yu +3
To better retain the deep features of an image and solve the sparsity problem of the end-to-end segmentation model, we propose a new deep convolutional network model for medical im…
Stecformer: Spatio-temporal Encoding Cascaded Transformer for Multivariate Long-term Time Series Forecasting
Zheng Sun, Yi Wei, Wenxiao Jia +1
Multivariate long-term time series forecasting is of great application across many domains, such as energy consumption and weather forecasting. With the development of transformer-…
Matrix Quantile Factor Model
Xin-Bing Kong, Yong-Xin Liu, Long Yu +1
This paper introduces a matrix quantile factor model for matrix-valued data with low-rank structure. We estimate the row and column factor spaces via minimizing the empirical check…
A new non-parametric Kendall's tau for matrix-valued elliptical observations
Yong He, Yalin Wang, Long Yu +2
In this article, we first propose generalized row/column matrix Kendall's tau for matrix-variate observations that are ubiquitous in areas such as finance and medical imaging. For…