Rui Miao - RankMe

13 papers Journal 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	MGHSTCKW: Predicting miRNA-drug sensitivity association using hypergraph sparse transformer and hypergraph-induced contrastive learning based on meta-path. Expert Syst. Appl. Dong Ouyang, Bo Jin, Jing Tian, Pingtao Duan, Lin Lin, Xiongfeng Zhu, Shaocan Fan, Rui Miao, Ning Ai
2025	J	`jnl`	SMPR: A structure-enhanced multimodal drug-disease prediction model for drug repositioning and cold start. CoRR Xin Dong, Rui Miao, Suyan Zhang, Shuaibing Jia, Leifeng Zhang, Yong Liang, Jianhua Zhang, Yi Zhun Zhu
2025	J	`jnl`	SMPR: a structure-enhanced multimodal drug‒disease prediction model for drug repositioning and cold start. J. Cheminformatics Xin Dong, Rui Miao, Suyan Zhang, Shuaibing Jia, Leifeng Zhang, Yong Liang, Jianhua Zhang, Yi Zhun Zhu
2024	J	`jnl`	An Integrated Multi-omics prediction model for stroke recurrence based on Lnet transformer layer and dynamic weighting mechanism. Comput. Biol. Medicine Rui Miao, Siyuan Li, Daying Fan, Fangxin Luoye, Jing Zhang, Wenli Zheng, Minglan Zhu, Aiting Zhou, Xianlin Wang, Shan Yan, Yong Liang, Ren-Li Deng
2023	J	`jnl`	A distributed sparse logistic regression with L Soft Comput. Ning Ai, Ziyi Yang, Hao-Laing Yuan, Dong Ouyang, Rui Miao, Yu-Han Ji, Yong Liang
2023	J	`jnl`	Improved Computational Drug-Repositioning by Self-Paced Non-Negative Matrix Tri-Factorization. IEEE ACM Trans. Comput. Biol. Bioinform. Qi Dang, Yong Liang, Dong Ouyang, Rui Miao, Caijin Ling, Xiaoying Liu, Shengli Xie
2023	J	`jnl`	Predicting potential microbe-disease associations based on auto-encoder and graph convolution network. BMC Bioinform. Shanghui Lu, Yong Liang, Le Li, Rui Miao, Shuilin Liao, Yongfu Zou, Chengjun Yang, Dong Ouyang
2022	J	`jnl`	A novel meta-analysis based on data augmentation and elastic data shared lasso regularization for gene expression. BMC Bioinform. Hai-Hui Huang, Hao Rao, Rui Miao, Yong Liang
2022	J	`jnl`	Predicting multiple types of miRNA-disease associations using adaptive weighted nonnegative tensor factorization with self-paced learning and hypergraph regularization. Briefings Bioinform. Dong Ouyang, Yong Liang, Jianjun Wang, Xiaoying Liu, Shengli Xie, Rui Miao, Ning Ai, Le Li, Qi Dang
2022	J	`jnl`	Sparse principal component analysis based on genome network for correcting cell type heterogeneity in epigenome-wide association studies. Medical Biol. Eng. Comput. Rui Miao, Qi Dang, Jie Cai, Hai-Hui Huang, Sheng-Li Xie, Yong Liang
2021	J	`jnl`	UMLF-COVID: an unsupervised meta-learning model specifically designed to identify X-ray images of COVID-19 patients. BMC Medical Imaging Rui Miao, Xin Dong, Sheng-Li Xie, Yong Liang, Sio-Long Lo
2020	J	`jnl`	Sparse Logistic Regression With L Frontiers Neuroinformatics Dongwei Chen, Rui Miao, Zhao-Yong Deng, Yue-Yue Lu, Yong Liang, Lan Huang
2019	J	`jnl`	A Feature Extraction Method Based on Differential Entropy and Linear Discriminant Analysis for Emotion Recognition. Sensors Dongwei Chen, Rui Miao, Wei-Qi Yang, Yong Liang, Hao-Heng Chen, Lan Huang, Chunjian Deng, Na Han