2 citations · 3 across the 5 of their papers we have counts for
5 papers
When Segmentation Meets Hyperspectral Image: New Paradigm for Hyperspectral Image Classification
Weilian Zhou, Weixuan Xie, Sei-ichiro Kamata +4
Hyperspectral image (HSI) classification is a cornerstone of remote sensing, enabling precise material and land-cover identification through rich spectral information. While deep l…
Mamba-in-Mamba: Centralized Mamba-Cross-Scan in Tokenized Mamba Model for Hyperspectral Image Classification
Weilian Zhou, Sei-Ichiro Kamata, Haipeng Wang +3
Hyperspectral image (HSI) classification is pivotal in the remote sensing (RS) field, particularly with the advancement of deep learning techniques. Sequential models, adapted from…
Rethinking ResNets: Improved Stacking Strategies With High Order Schemes
Zhengbo Luo, Zitang Sun, Weilian Zhou +2
Various deep neural network architectures (DNNs) maintain massive vital records in computer vision. While drawing attention worldwide, the design of the overall structure lacks gen…
Multivariate Density Estimation with Missing Data
Zhen Li, Lili Wu, Weilian Zhou +1
Multivariate density estimation is a popular technique in statistics with wide applications including regression models allowing for heteroskedasticity in conditional variances. Th…
Learning Gaussian Graphical Models Using Discriminated Hub Graphical Lasso
Zhen Li, Jingtian Bai, Weilian Zhou
We develop a new method called Discriminated Hub Graphical Lasso (DHGL) based on Hub Graphical Lasso (HGL) by providing prior information of hubs. We apply this new method in two s…