A Feature Extraction Method Based on Differential Entropy and Linear Discriminant Analysis for Emotion Recognition. - Dongwei Chen; Rui Miao 002; Wei-Qi Yang; Yong Liang 001; Hao-Heng Chen; Lan Huang; Chunjian Deng; Na Han (Sensors, 2019)

Sparse Logistic Regression With L1/2 Penalty for Emotion Recognition in Electroencephalography Classification. - Dongwei Chen; Rui Miao 002; Zhao-Yong Deng; Yue-Yue Lu; Yong Liang 001; Lan Huang (Frontiers Neuroinformatics, 2020)

UMLF-COVID: an unsupervised meta-learning model specifically designed to identify X-ray images of COVID-19 patients. - Rui Miao 002; Xin Dong; Sheng-Li Xie; Yong Liang 001; Sio-Long Lo (BMC Medical Imaging, 2021)

Predicting multiple types of miRNA-disease associations using adaptive weighted nonnegative tensor factorization with self-paced learning and hypergraph regularization. - Dong Ouyang; Yong Liang 001; Jianjun Wang; Xiaoying Liu 003; Shengli Xie; Rui Miao 002; Ning Ai; Le Li; Qi Dang (Briefings Bioinform., 2022)

A novel meta-analysis based on data augmentation and elastic data shared lasso regularization for gene expression. - Hai-Hui Huang; Hao Rao; Rui Miao 002; Yong Liang 001 (BMC Bioinform., 2022)

Sparse principal component analysis based on genome network for correcting cell type heterogeneity in epigenome-wide association studies. - Rui Miao 002; Qi Dang; Jie Cai; Hai-Hui Huang; Sheng-Li Xie; Yong Liang 001 (Medical Biol. Eng. Comput., 2022)

Improved Computational Drug-Repositioning by Self-Paced Non-Negative Matrix Tri-Factorization. - Qi Dang; Yong Liang 001; Dong Ouyang; Rui Miao 002; Caijin Ling; Xiaoying Liu 003; Shengli Xie (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

A distributed sparse logistic regression with L1/2 regularization for microarray biomarker discovery in cancer classification. - Ning Ai; Ziyi Yang; Hao-Laing Yuan; Dong Ouyang; Rui Miao 002; Yu-Han Ji; Yong Liang 001 (Soft Comput., 2023)

An Integrated Multi-omics prediction model for stroke recurrence based on Lnet transformer layer and dynamic weighting mechanism. - Rui Miao 002; Siyuan Li; Daying Fan; Fangxin Luoye; Jing Zhang; Wenli Zheng; Minglan Zhu; Aiting Zhou; Xianlin Wang; Shan Yan; Yong Liang 001; Ren-Li Deng (Comput. Biol. Medicine, 2024)

MGHSTCKW: Predicting miRNA-drug sensitivity association using hypergraph sparse transformer and hypergraph-induced contrastive learning based on meta-path. - Dong Ouyang; Bo Jin 001; Jing Tian; Pingtao Duan; Lin Lin; Xiongfeng Zhu; Shaocan Fan; Rui Miao 002; Ning Ai (Expert Syst. Appl., 2025)

SMPR: A structure-enhanced multimodal drug-disease prediction model for drug repositioning and cold start. - Xin Dong; Rui Miao 002; Suyan Zhang; Shuaibing Jia; Leifeng Zhang; Yong Liang 001; Jianhua Zhang; Yi Zhun Zhu (CoRR, 2025)