代表性论文：

[1] Licheng Jiao, Miaomiao Liang^#, Huan Chen, Shuyuan Yang, Hongying Liu, and Xianghai Cao. Deep fully convolutional network-based spatial distribution prediction for hyperspectral image classification[J]. IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2017, 55(10): 5585-5599. (中科院一区，Top)

[2] Miaomiao Liang, Licheng Jiao, Shuyuan Yang, Fang Liu, Biao Hou, Huan Chen. Deep multiscale spectral-spatial feature fusion for hyperspectral images classification[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), 2018, 11(8): 2911-2924.（中科院三区）

[3] Miaomiao Liang, Licheng Jiao, and Zhe Meng. A superpixel-based relational auto-encoder for feature extraction of hyperspectral images[J]. Remote Sensing, 2019, 11(20): 2454.（中科院二区，Top）

[4] Miaomiao Liang, Licheng Jiao, and Chundong Xu. Deep feature-based multitask joint sparse representation for hyperspectral image classification[J]. IEEE Geoscience and Remote Sensing Letters, 2020, 17(9):1578-1582.（中科院二区）

[5] Miaomiao Liang, Huai Wang, Xiangchun Yu, Zhe Meng, Jianbing Yi, Licheng Jiao. Lightweight multilevel feature fusion network for hyperspectral image classification[J], Remote Sensing, 2022, 14(1): 79：1-20.（中科院二区，Top）

[6] Miaomiao Liang, Qinghua He, Xiangchun Yu, Huai Wang, Zhe Meng, Licheng Jiao. A dual multi-head contextual attention network for hyperspectral image classification[J]. Remote Sensing, 2022, 14(13): 1-21.（中科院二区，Top）

[7] Xiangchun Yu, Hechang Chen, Miaomiao Liang, Qing Xu, Lifang He. A transfer learning-based novel fusion convolutional neural network for breast cancer histology classification[J]. Multimedia Tools and Applications. 2020, 1-15.（中科院三区）

[8] Xiangchun Yu, Wei Pang, Qing Xu, Miaomiao Liang. Mammographic image classification with deep fusion learning[J]. Scientific Reports. 2020, 14361.1-11.（中科院三区）

[9] Zhe Meng, Licheng Jiao, Miaomiao Liang and Feng Zhao. Hyperspectral image classification with mixed link networks[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, 14: 2494-2507.（中科院三区）

[10] Zhe Meng, Feng Zhao, Miaomiao Liang. SS-MLP: A novel spectral-spatial MLP architecture for hyperspectral image classification[J]. Remote Sensing, 2021, 13(20): 4060.（中科院二区，Top）

[11] Zhe Meng, Licheng Jiao, Miaomiao Liang, Feng Zhao. A lightweight spectral-spatial convolution module for hyperspectral image classification[J]. IEEE Geoscience and Remote Sensing Letters, 2021, 19: 1-5.（中科院二区）

主持课题：

1、国家自然科学基金青年科学基金项目，61901198，基于多模态深层交互编码的小样本高光谱遥感影像分类方法研究，2020/01-2022/12，在研，主持

2、江西省高等学校教学改革研究省级课题，一般项目，JXJG-21-7-32，《离散数学》课程线上线下混合教学模式探讨，2022/01-2023/12，在研，主持

3、江西理工大学清江青年优秀人才支持计划资助，JXUSTQJYX2020019，小样本高光谱遥感数据的地物精准识别与定位，2021/01-2025/12，在研，主持

4、江西理工大学博士科研启动基金项目，jxxjbs19006，基于多尺度几何稀疏编码的遥感图像特征学习，2019/01-2021/12，结题，主持