Deep Fully Convolutional Network-Based Spatial Distribution Prediction for Hyperspectral Image Classification. - Licheng Jiao; Miaomiao Liang; Huan Chen 006; Shuyuan Yang 001; Hongying Liu 001; Xianghai Cao (IEEE Trans. Geosci. Remote. Sens., 2017)

Deep Multiscale Spectral-Spatial Feature Fusion for Hyperspectral Images Classification. - Miaomiao Liang; Licheng Jiao; Shuyuan Yang 001; Fang Liu 001; Biao Hou; Huan Chen 006 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Fast unsupervised deep fusion network for change detection of multitemporal SAR images. - Huan Chen 006; Licheng Jiao; Miaomiao Liang; Fang Liu 001; Shuyuan Yang 001; Biao Hou (Neurocomputing, 2019)

A Superpixel-Based Relational Auto-Encoder for Feature Extraction of Hyperspectral Images. - Miaomiao Liang; Licheng Jiao; Zhe Meng (Remote. Sens., 2019)

Fully Dense Multiscale Fusion Network for Hyperspectral Image Classification. - Zhe Meng; Lingling Li 002; Licheng Jiao; Zhixi Feng; Xu Tang; Miaomiao Liang (Remote. Sens., 2019)

Multipath Residual Network for Spectral-Spatial Hyperspectral Image Classification. - Zhe Meng; Lingling Li 002; Xu Tang; Zhixi Feng; Licheng Jiao; Miaomiao Liang (Remote. Sens., 2019)

Deep Feature-Based Multitask Joint Sparse Representation for Hyperspectral Image Classification. - Miaomiao Liang; Licheng Jiao; Chundong Xu (IEEE Geosci. Remote. Sens. Lett., 2020)

SS-MLP: A Novel Spectral-Spatial MLP Architecture for Hyperspectral Image Classification. - Zhe Meng; Feng Zhao 005; Miaomiao Liang (Remote. Sens., 2021)

Deep Residual Involution Network for Hyperspectral Image Classification. - Zhe Meng; Feng Zhao 005; Miaomiao Liang; Wen Xie (Remote. Sens., 2021)

Hyperspectral Image Classification With Mixed Link Networks. - Zhe Meng; Licheng Jiao; Miaomiao Liang; Feng Zhao 005 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Reliable Reputation Review and Secure Energy Transaction of Microgrid Community Based on Hybrid Blockchain. - Zilong Song; Xiaohong Zhang 004; Miaomiao Liang (Wirel. Commun. Mob. Comput., 2021)

A Multi-level Mixed Perception Network for Hyperspectral Image Classification. - Huai Wang; Qinghua He; Miaomiao Liang (ICIS, 2022)

A Lightweight Spectral-Spatial Convolution Module for Hyperspectral Image Classification. - Zhe Meng; Licheng Jiao; Miaomiao Liang; Feng Zhao 005 (IEEE Geosci. Remote. Sens. Lett., 2022)

A transfer learning-based novel fusion convolutional neural network for breast cancer histology classification. - Xiangchun Yu; Hechang Chen; Miaomiao Liang; Qing Xu; Lifang He 001 (Multim. Tools Appl., 2022)

A Dual Multi-Head Contextual Attention Network for Hyperspectral Image Classification. - Miaomiao Liang; Qinghua He; Xiangchun Yu; Huai Wang; Zhe Meng; Licheng Jiao (Remote. Sens., 2022)

Lightweight Multilevel Feature Fusion Network for Hyperspectral Image Classification. - Miaomiao Liang; Huai Wang; Xiangchun Yu; Zhe Meng; Jianbing Yi; Licheng Jiao (Remote. Sens., 2022)

Multi-Scale Feature Attention and Transformer for Hyperspectral Image Classification. - Zhe Meng; Qian Yan; Feng Zhao 005; Miaomiao Liang (WHISPERS, 2023)

Hyperspectral Image Classification with Dynamic Spatial-Spectral Attention Network. - Zhe Meng; Qian Yan; Feng Zhao 005; Miaomiao Liang (WHISPERS, 2023)

Self-Supervised Learning With Learnable Sparse Contrastive Sampling for Hyperspectral Image Classification. - Miaomiao Liang; Jian Dong; Lingjuan Yu; Xiangchun Yu; Zhe Meng; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2023)

Complex-Valued U-Net with Capsule Embedded for Semantic Segmentation of PolSAR Image. - Lingjuan Yu; Qiqi Shao; Yuting Guo; Xiaochun Xie; Miaomiao Liang; Wen Hong (Remote. Sens., 2023)

An efficient Transformer with neighborhood contrastive tokenization for hyperspectral images classification. - Miaomiao Liang; Xianhao Zhang; Xiangchun Yu; Lingjuan Yu; Zhe Meng; Xiaohong Zhang; Licheng Jiao (Int. J. Appl. Earth Obs. Geoinformation, 2024)

ConVaT: A Variational Generative Transformer With Momentum Contrastive Learning for Hyperspectral Image Classification. - Miaomiao Liang; Zuo Liu; Jian Dong; Lingjuan Yu; Xiangchun Yu; Jun Li; Licheng Jiao (IEEE Geosci. Remote. Sens. Lett., 2024)

Multiscale Super Token Transformer for Hyperspectral Image Classification. - Zhe Meng; Taizheng Zhang; Feng Zhao 005; Gaige Chen; Miaomiao Liang (IEEE Geosci. Remote. Sens. Lett., 2024)

Lightweight Pixel2mesh for 3-D Target Reconstruction From a Single SAR Image. - Lingjuan Yu; Jianping Zou; Miaomiao Liang; Liang Li; Xiaochun Xie; Xiangchun Yu; Wen Hong (IEEE Geosci. Remote. Sens. Lett., 2024)

Bias-variance decomposition knowledge distillation for medical image segmentation. - Xiangchun Yu; Longxiang Teng; Zhongjian Duan; Dingwen Zhang; Wei Pang 001; Miaomiao Liang; Jian Zheng; Liujin Qiu; Qing Xu (Neurocomputing, 2025)

Feature Subspace Projection Knowledge Distillation for Medical Image Segmentation. - Xiangchun Yu; Qiaoyi Chen; Miaomiao Liang; Lingjuan Yu; Jian Zheng (Int. J. Imaging Syst. Technol., 2025)

SuperCoT-X: Masked Hyperspectral Image Modeling With Diverse Superpixel-Level Contrastive Tokenizer. - Miaomiao Liang; Weigang Wu; Huifang Shen; Lingjuan Yu; Xiangchun Yu; Licheng Jiao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Global-Local Multigranularity Transformer for Hyperspectral Image Classification. - Zhe Meng; Qian Yan; Feng Zhao 005; Gaige Chen; Wenqiang Hua; Miaomiao Liang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Hierarchical and Bidirectional Contrastive Learning for Hyperspectral Image Classification. - Jian Dong; Miaomiao Liang; Zhi He; Chengle Zhou (IEEE Trans. Geosci. Remote. Sens., 2025)

Ground truth is the best teacher: supervised semantic segmentation inspired by knowledge transfer mechanisms. - Xiangchun Yu; Huofa Liu; Dingwen Zhang; Miaomiao Liang; Lingjuan Yu; Jian Zheng (Multim. Syst., 2025)

Dual-branch evidential framework fusing hard example mining for abdominal organ segmentation. - Xiangchun Yu; Tianqi Wu; Dingwen Zhang; Miaomiao Liang; Lingjuan Yu; Jian Zheng (J. Real Time Image Process., 2025)