Cropland Mapping in Fragmented Agricultural Landscape Using Modified Pyramid Scene Parsing Network. - Junwen Yang; Jinshui Zhang; Shuang Zhu; Qing Xu; Feng Zhang; Zhijiang Yang; Zheng Dong (IGARSS, 2019)

Exploring Classification Capability of CNN Features. - Shan Wang; Yue Wang; Qilong Zhao; Zhijiang Yang; Weiyu Guo; Xiuli Wang (ICPCSEE (1), 2021)

A Fine-Grained Mixed Land Use Decomposition Method Based on Multi-source Geospatial Data. - Chunyang Huang; Xun Liang 002; Zhijiang Yang; Qingfeng Guan 001 (SpatialDI, 2021)

Evolutionary game analysis on competition strategy choice of application providers. - Ayong Ye; Junlin Jin; Zhijiang Yang; Ziwen Zhao; Lingyu Meng (Concurr. Comput. Pract. Exp., 2021)

Explainable Enterprise Credit Rating via Deep Feature Crossing Network. - Weiyu Guo; Zhijiang Yang; Shu Wu; Fu Chen (CoRR, 2021)

S3TRM: Spectral-Spatial Unmixing of Hyperspectral Imagery Based on Sparse Topic Relaxation-Clustering Model. - Qiqi Zhu; Linlin Wang; Jiale Chen 002; Wen Zeng; Yanfei Zhong; Qingfeng Guan 001; Zhijiang Yang (IEEE Trans. Geosci. Remote. Sens., 2022)

Explainable enterprise credit rating using deep feature crossing. - Weiyu Guo; Zhijiang Yang; Shu Wu; Xiuli Wang; Fu Chen (Expert Syst. Appl., 2023)

MPEK: a multitask deep learning framework based on pretrained language models for enzymatic reaction kinetic parameters prediction. - Jingjing Wang; Zhijiang Yang; Chang Chen; Ge Yao; Xiukun Wan; Shaoheng Bao; Junjie Ding; Liangliang Wang; Hui Jiang (Briefings Bioinform., 2024)

QuanDB: a quantum chemical property database towards enhancing 3D molecular representation learning. - Zhijiang Yang; Tengxin Huang; Li Pan; Jingjing Wang; Liangliang Wang; Junjie Ding; Junhua Xiao (J. Cheminformatics, 2024)

Correction: QuanDB: a quantum chemical property database towards enhancing 3D molecular representation learning. - Zhijiang Yang; Tengxin Huang; Li Pan; Jingjing Wang; Liangliang Wang; Junjie Ding; Junhua Xiao (J. Cheminformatics, 2024)

IECata: interpretable bilinear attention network and evidential deep learning improve the catalytic efficiency prediction of enzymes. - Jingjing Wang; Yanpeng Zhao; Zhijiang Yang; Ge Yao; Penggang Han; Jiajia Liu; Chang Chen; Peng Zan; Xiukun Wan; Xiaochen Bo; Hui Jiang (Briefings Bioinform., 2025)

Risk assessment of water distribution networks through an integrated model based on machine learning and statistical methods. - Zhen Hu; Jing-cong Zhu; Haiming Jiao; Wen Zeng; Zhijiang Yang (Reliab. Eng. Syst. Saf., 2025)

Hierarchical structure-based model for importance and reliability assessment of water distribution networks. - Haiming Jiao; Zhen Hu; Zhijiang Yang; Wen Zeng; Feng Xu; Cuiyan Han (Reliab. Eng. Syst. Saf., 2025)