Baisen Liu

23 papers C 1Journal 18Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Endmember-Free Hyperspectral Unmixing.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Baisen Liu, Longfei Hou, Weiming Zheng, Nazik Alturki, Jamel Baili, Weili Kong, Jiaming Pei
2025 J jnl
HyperSL: A Spectral Foundation Model for Hyperspectral Image Interpretation.
IEEE Trans. Geosci. Remote. Sens.
Weili Kong, Baisen Liu, Xiaojun Bi, Changdong Yu, Xinyao Li, Yushi Chen
2024 — conf
A Shared Encoder for Multi-Source Hyperspectral Images.
Tiny Papers @ ICLR
Weili Kong, Baisen Liu, Xiaojun Bi, Jiaming Pei
2024 J jnl
A Universal Representation Mechanism for Multisource Remote Sensing Image.
IEEE Geosci. Remote. Sens. Lett.
Weili Kong, Baisen Liu, Xiaojun Bi, Yihan He
2024 J jnl
Instructional Mask Autoencoder: A Scalable Learner for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Weili Kong, Baisen Liu, Xiaojun Bi, Jiaming Pei, Zheng Chen
2024 J jnl
Open-Set Cross-Domain Hyperspectral Image Classification Based on Manifold Mapping Alignment.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Xiangrong Zhang, Baisen Liu
2023 J jnl
A New Method for False Alarm Suppression in Heterogeneous Change Detection.
Remote. Sens.
Cong Xu, Baisen Liu, Zishu He
2023 J jnl
A Normalized Spatial-Spectral Supervoxel Segmentation Method for Multispectral Point Cloud Data.
IEEE Trans. Geosci. Remote. Sens.
Likun Chen, Yanfeng Gu, Xian Li, Xiangrong Zhang, Baisen Liu
2023 — conf
A Scalable Self-supervised Learner for Hyperspectral Image Classification.
Tiny Papers @ ICLR
Weili Kong, Lin Qi, Baisen Liu, Jiaming Pei
2023 — conf
Fusing 3D-CNN and lightweight Swin Transformer networks for HSI.
Tiny Papers @ ICLR
Baisen Liu, Yuanjia Liu, Wulin Zhang, Yiran Tian
2023 J jnl
Spectral Swin Transformer Network for Hyperspectral Image Classification.
Remote. Sens.
Baisen Liu, Yuanjia Liu, Wulin Zhang, Yiran Tian, Weili Kong
2023 — conf
Talent Flow Model Based on Graph Attention Network.
ICBASE
Baisen Liu, Zongting Jia, Lili Zhao, Weili Kong
2022 J jnl
Multitemporal Intrinsic Image Decomposition With Temporal-Spatial Energy Constraints for Remote Sensing Image Analysis.
IEEE Trans. Geosci. Remote. Sens.
Guoming Gao, Baisen Liu, Xiangrong Zhang, Xudong Jin, Yanfeng Gu
2020 J jnl
Bayesian robust estimation of partially functional linear regression models using heavy-tailed distributions.
Comput. Stat.
Guodong Shan, Yiheng Hou, Baisen Liu
2020 J jnl
Testing proportionality of two high-dimensional covariance matrices.
Comput. Stat. Data Anal.
Guanghui Cheng, Baisen Liu, Guo-Liang Tian, Shurong Zheng
2019 J jnl
Bayesian inference of mixed-effects ordinary differential equations models using heavy-tailed distributions.
Comput. Stat. Data Anal.
Baisen Liu, Liangliang Wang, Yunlong Nie, Jiguo Cao
2019 J jnl
Unsupervised Multitemporal Domain Adaptation With Source Labels Learning.
IEEE Geosci. Remote. Sens. Lett.
Baisen Liu, Guoming Gao, Yanfeng Gu
2018 J jnl
Bayesian estimation of ordinary differential equation models when the likelihood has multiple local modes.
Monte Carlo Methods Appl.
Baisen Liu, Liangliang Wang, Jiguo Cao
2018 J jnl
Supervised functional principal component analysis.
Stat. Comput.
Yunlong Nie, Liangliang Wang, Baisen Liu, Jiguo Cao
2017 J jnl
Estimating functional linear mixed-effects regression models.
Comput. Stat. Data Anal.
Baisen Liu, Liangliang Wang, Jiguo Cao
2014 J jnl
A new test for the proportionality of two large-dimensional covariance matrices.
J. Multivar. Anal.
Baisen Liu, Lin Xu, Shurong Zheng, Guo-Liang Tian
2014 J jnl
Testing proportionality of two large-dimensional covariance matrices.
Comput. Stat. Data Anal.
Lin Xu, Baisen Liu, Shurong Zheng, Shaokun Bao
2013 C conf
Improved principal component analysis based hyperspectral image compression method.
IGARSS
Baisen Liu, Ye Zhang, Wulin Zhang