Arabidopsis Hormone Database: a comprehensive genetic and phenotypic information database for plant hormone research in Arabidopsis. - Zhiyu Peng; Xin Zhou; Linchuan Li; Xiangchun Yu; Hongjiang Li; Zhiqiang Jiang; Guangyu Cao; Mingyi Bai; Xingchun Wang; Caifu Jiang; Haibin Lu; Xianhui Hou; et al. (Nucleic Acids Res., 2009)

Building Recognition on Subregion's Multiscale Gist Feature Extraction and Corresponding Columns Information Based Dimensionality Reduction. - Bin Li 004; Wei Pang 001; Yuhao Liu; Xiangchun Yu; AnAn Du; YeCheng Zhang; Zhezhou Yu (J. Appl. Math., 2014)

An Improved EMD-Based Dissimilarity Metric for Unsupervised Linear Subspace Learning. - Xiangchun Yu; Zhezhou Yu; Wei Pang 001; Minghao Li; Lei Wu (Complex., 2018)

Real-time online action detection and segmentation using improved efficient linear search. - Shiye Wang; Zhezhou Yu; Xiangchun Yu (Int. J. Comput. Sci. Math., 2019)

Data-driven two-layer visual dictionary structure learning. - Xiangchun Yu; Zhezhou Yu; Lei Wu; Wei Pang 001; Chenghua Lin (J. Electronic Imaging, 2019)

RNA-Seq-Based Breast Cancer Subtypes Classification Using Machine Learning Approaches. - Zhezhou Yu; Zhuo Wang; Xiangchun Yu; Zhe Zhang (Comput. Intell. Neurosci., 2020)

Deep Ensemble Learning for Human Action Recognition in Still Images. - Xiangchun Yu; Zhe Zhang; Lei Wu; Wei Pang 001; Hechang Chen; Zhezhou Yu; Bin Li 004 (Complex., 2020)

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)

Few-Shot Object Counting model based on self-support matching and attention mechanism. - Jian Zheng; Xingling Qi; Xiangchun Yu (ICAICE, 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)

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)

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)

Attention correction feature and boundary constraint knowledge distillation for efficient 3D medical image segmentation. - Xiangchun Yu; Longxiang Teng; Dingwen Zhang; Jian Zheng; Hechang Chen (Expert Syst. Appl., 2025)

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)

EDGE: Edge distillation and gap elimination for heterogeneous networks in 3D medical image segmentation. - Xiangchun Yu; Tianqi Wu; Dingwen Zhang; Jian Zheng; Jianqing Wu 002 (Knowl. Based Syst., 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)

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)

Hierarchical Region-level Decoupling Knowledge Distillation for semantic segmentation. - Xiangchun Yu; Huofa Liu; Dingwen Zhang; Jianqing Wu 002; 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)