Combining LSTM Network Model and Wavelet Transform for Predicting Self-interacting Proteins. - Zhan-Heng Chen; Zhu-Hong You; Li-Ping Li 003; Zhen-Hao Guo; Pengwei Hu 001; Han-Jing Jiang (ICIC (1), 2019)

Predicting of Drug-Disease Associations via Sparse Auto-Encoder-Based Rotation Forest. - Han-Jing Jiang; Zhu-Hong You; Kai Zheng 020; Zhan-Heng Chen (ICIC (3), 2019)

MISSIM: Improved miRNA-Disease Association Prediction Model Based on Chaos Game Representation and Broad Learning System. - Kai Zheng 020; Zhu-Hong You; Lei Wang 121; Yi-Ran Li; Yan-Bin Wang; Han-Jing Jiang (ICIC (3), 2019)

Prediction of Drug-Disease Associations Based on Long Short-Term Memory Network and Gaussian Interaction Profile Kernel. - Han-Jing Jiang; Yan-Bin Wang; Yabing Huang (BIC-TA, 2020)

A Highly Efficient Biomolecular Network Representation Model for Predicting Drug-Disease Associations. - Han-Jing Jiang; Zhu-Hong You; Lun Hu; Zhen-Hao Guo; Bo-Ya Ji; Leon Wong (ICIC (3), 2020)

Prognostic Prediction for Non-small-Cell Lung Cancer Based on Deep Neural Network and Multimodal Data. - Zhongsi Zhang; Fei Xu; Han-Jing Jiang; Zhan-Heng Chen (ICIC (3), 2021)

Accurate Identification of Agricultural Inputs Based on Sensor Monitoring Platform and SSDA-HELM-SOFTMAX Model. - Juan Zou; Hanjing Jiang; Qingxiu Wang; Ningxia Chen; Ting Wu 010; Ling Yang (J. Sensors, 2021)

Spectral clustering of single cells using Siamese nerual network combined with improved affinity matrix. - Han-Jing Jiang; Yabing Huang; Qianpeng Li (Briefings Bioinform., 2022)

An effective drug-disease associations prediction model based on graphic representation learning over multi-biomolecular network. - Han-Jing Jiang; Yabing Huang (BMC Bioinform., 2022)

Selection of Cancer Biomarkers from Microarray Gene Expression Data Utilizing the Bi-Objective Optimization Method. - Hanjing Jiang; Jianqing Lin; Huachao Zhu; Yabing Huang (BIBM, 2023)

An Efficient and Lightweight Pigeon Age Detection Method Based on LN-STEP-YOLO. - Jun Yao; Zechen Shi; Hanjing Jiang; Qingxiu Wang; Ningxia Chen; Ting Wu 010; Haixia Xu; Ling Yang; Juan Zou (IEEE Access, 2023)

ScLSTM: single-cell type detection by siamese recurrent network and hierarchical clustering. - Hanjing Jiang; Yabing Huang; Qianpeng Li; Boyuan Feng (BMC Bioinform., 2023)

A Single-Cell Clustering Algorithm Based on Structure Perturbation Non-Negative Matrix Factorization. - Hanjing Jiang; Meineng Wang; Luping Zhang; Yu-An Huang; Yangyuan Li; Yabing Huang (BIBM, 2024)

Graph-Regularized Non-Negative Matrix Factorization for Single-Cell Clustering in scRNA-Seq Data. - Hanjing Jiang; Mei-Neng Wang; Yu-An Huang; Yabing Huang (IEEE J. Biomed. Health Informatics, 2024)

Surrogate-Assisted Multiobjective Gene Selection for Cell Classification From Large-Scale Single-Cell RNA Sequencing Data. - Jianqing Lin; Cheng He 001; Hanjing Jiang; Yabing Huang; Yaochu Jin (IEEE Trans. Evol. Comput., 2025)