Baisen Liu

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 18

Top Topics

Covariance Matrices

Linear Regression Models

Image Classification

Top Venues

Comput. Stat. Data Anal.

Tiny Papers @ ICLR

IEEE Geosci. Remote. Sens. Lett.

Publications

Xiangrong Zhang, Baisen Liu
Open-Set Cross-Domain Hyperspectral Image Classification Based on Manifold Mapping Alignment. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17 (2024)
Weili Kong, Baisen Liu, Xiaojun Bi, Yihan He
A Universal Representation Mechanism for Multisource Remote Sensing Image. IEEE Geosci. Remote. Sens. Lett. 21 (2024)
Weili Kong, Baisen Liu, Xiaojun Bi, Jiaming Pei, Zheng Chen
Instructional Mask Autoencoder: A Scalable Learner for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17 (2024)
Weili Kong, Baisen Liu, Xiaojun Bi, Jiaming Pei
A Shared Encoder for Multi-Source Hyperspectral Images. Tiny Papers @ ICLR (2024)
Cong Xu, Baisen Liu, Zishu He
A New Method for False Alarm Suppression in Heterogeneous Change Detection. Remote. Sens. 15 (7) (2023)
Baisen Liu, Zongting Jia, Lili Zhao, Weili Kong
Talent Flow Model Based on Graph Attention Network. ICBASE (2023)
Likun Chen, Yanfeng Gu, Xian Li, Xiangrong Zhang, Baisen Liu
A Normalized Spatial-Spectral Supervoxel Segmentation Method for Multispectral Point Cloud Data. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Baisen Liu, Yuanjia Liu, Wulin Zhang, Yiran Tian, Weili Kong
Spectral Swin Transformer Network for Hyperspectral Image Classification. Remote. Sens. 15 (15) (2023)
Weili Kong, Lin Qi, Baisen Liu, Jiaming Pei
A Scalable Self-supervised Learner for Hyperspectral Image Classification. Tiny Papers @ ICLR (2023)
Baisen Liu, Yuanjia Liu, Wulin Zhang, Yiran Tian
Fusing 3D-CNN and lightweight Swin Transformer networks for HSI. Tiny Papers @ ICLR (2023)
Guoming Gao, Baisen Liu, Xiangrong Zhang, Xudong Jin, Yanfeng Gu
Multitemporal Intrinsic Image Decomposition With Temporal-Spatial Energy Constraints for Remote Sensing Image Analysis. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Guanghui Cheng, Baisen Liu, Guo-Liang Tian, Shurong Zheng
Testing proportionality of two high-dimensional covariance matrices. Comput. Stat. Data Anal. 150 (2020)
Guodong Shan, Yiheng Hou, Baisen Liu
Bayesian robust estimation of partially functional linear regression models using heavy-tailed distributions. Comput. Stat. 35 (4) (2020)
Baisen Liu, Liangliang Wang, Yunlong Nie, Jiguo Cao
Bayesian inference of mixed-effects ordinary differential equations models using heavy-tailed distributions. Comput. Stat. Data Anal. 137 (2019)
Baisen Liu, Guoming Gao, Yanfeng Gu
Unsupervised Multitemporal Domain Adaptation With Source Labels Learning. IEEE Geosci. Remote. Sens. Lett. 16 (9) (2019)
Yunlong Nie, Liangliang Wang, Baisen Liu, Jiguo Cao
Supervised functional principal component analysis. Stat. Comput. 28 (3) (2018)
Baisen Liu, Liangliang Wang, Jiguo Cao
Bayesian estimation of ordinary differential equation models when the likelihood has multiple local modes. Monte Carlo Methods Appl. 24 (1) (2018)
Baisen Liu, Liangliang Wang, Jiguo Cao
Estimating functional linear mixed-effects regression models. Comput. Stat. Data Anal. 106 (2017)
Lin Xu, Baisen Liu, Shurong Zheng, Shaokun Bao
Testing proportionality of two large-dimensional covariance matrices. Comput. Stat. Data Anal. 78 (2014)
Baisen Liu, Lin Xu, Shurong Zheng, Guo-Liang Tian
A new test for the proportionality of two large-dimensional covariance matrices. J. Multivar. Anal. 131 (2014)
Baisen Liu, Ye Zhang, Wulin Zhang
Improved principal component analysis based hyperspectral image compression method. IGARSS (2013)