Dong Ouyang

According to our database, Dong Ouyang authored at least 15 papers between 2012 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Incremental Learning Strategy With Multi-View Deep Learning for Disease-Related miRNAs/lncRNAs Identification.

Ning Ai, Haoliang Yuan, Zhonghua Lu, Yong Liang, Qi Hong Lai, Loi Lei Lai, Hongmin Cai, Dong Ouyang

IEEE Trans. Emerg. Top. Comput. Intell., April, 2026

2025

A Simplified Input Strategy for Predicting Multi-Type Associations in miRNA-LncRNA-Disease Network via Stacked Deep Matrix Factorization.

Ning Ai, Haoliang Yuan, Zhonghua Lu, Yong Liang, Qi Hong Lai, Loi Lei Lai, Hongmin Cai, Dong Ouyang

IEEE Trans. Comput. Biol. Bioinform., 2025

MGHSTCKW: Predicting miRNA-drug sensitivity association using hypergraph sparse transformer and hypergraph-induced contrastive learning based on meta-path.

Dong Ouyang, Bo Jin, Jing Tian, Pingtao Duan, Lin Lin, Xiongfeng Zhu, Shaocan Fan, Rui Miao, Ning Ai

Expert Syst. Appl., 2025

Dual-Model Semi-Supervised Anterior Segment Structure Segmentation Using Mamba.

Dong Ouyang, Xiaoming Liu, Ying Zhang, Guohuan Wu, Jinshan Tang

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

2024

Multi-View Multiattention Graph Learning With Stack Deep Matrix Factorization for circRNA-Drug Sensitivity Association Identification.

Ning Ai, Haoliang Yuan, Yong Liang, Shanghui Lu, Dong Ouyang, Qi Hong Lai, Loi Lei Lai

IEEE J. Biomed. Health Informatics, December, 2024

HGCLAMIR: Hypergraph contrastive learning with attention mechanism and integrated multi-view representation for predicting miRNA-disease associations.

Dong Ouyang, Yong Liang, Jinfeng Wang, Le Li, Ning Ai, Junning Feng, Shanghui Lu, Shuilin Liao, Xiaoying Liu, Shengli Xie

PLoS Comput. Biol., 2024

CPF6D: 6DoF Pose Estimation Net based on Context Part Fusion for Robotic Grasping.

Shuangjie Yuan, Dong Ouyang, Lu Yang, Tieshan Li

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Predicting potential microbe-disease associations based on auto-encoder and graph convolution network.

Shanghui Lu, Yong Liang, Le Li, Rui Miao, Shuilin Liao, Yongfu Zou, Chengjun Yang, Dong Ouyang

BMC Bioinform., December, 2023

Integration of multi-omics data using adaptive graph learning and attention mechanism for patient classification and biomarker identification.

Dong Ouyang, Yong Liang, Le Li, Ning Ai, Shanghui Lu, Mingkun Yu, Xiaoying Liu, Shengli Xie

Comput. Biol. Medicine, September, 2023

A distributed sparse logistic regression with L_1/2 regularization for microarray biomarker discovery in cancer classification.

Ning Ai, Ziyi Yang, Hao-Laing Yuan, Dong Ouyang, Rui Miao, Yu-Han Ji, Yong Liang

Soft Comput., March, 2023

Self-supervised learning-based Multi-Scale feature Fusion Network for survival analysis from whole slide images.

Le Li, Yong Liang, Mingwen Shao, Shanghui Lu, Shuilin Liao, Dong Ouyang

Comput. Biol. Medicine, February, 2023

Improved Computational Drug-Repositioning by Self-Paced Non-Negative Matrix Tri-Factorization.

Qi Dang, Yong Liang, Dong Ouyang, Rui Miao, Caijin Ling, Xiaoying Liu, Shengli Xie

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

2022

MHDMF: Prediction of miRNA-disease associations based on Deep Matrix Factorization with Multi-source Graph Convolutional Network.

Ning Ai, Yong Liang, Hao-Laing Yuan, Dong Ouyang, Xiao-Ying Liu, Shengli Xie, Yu-Han Ji

Comput. Biol. Medicine, 2022

Predicting multiple types of miRNA-disease associations using adaptive weighted nonnegative tensor factorization with self-paced learning and hypergraph regularization.

Dong Ouyang, Yong Liang, Jianjun Wang, Xiaoying Liu, Shengli Xie, Rui Miao, Ning Ai, Le Li, Qi Dang

Briefings Bioinform., 2022

2012

The Study of the Structure "Verb+Numeral+Measure(le)" from the Perspective of Information Conveying Grammar.

Dong Ouyang, Xiaoming Hu

Proceedings of the Chinese Lexical Semantics - 13th Workshop, 2012