Dong Ouyang

15 papers B 2Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Incremental Learning Strategy With Multi-View Deep Learning for Disease-Related miRNAs/lncRNAs Identification.
IEEE Trans. Emerg. Top. Comput. Intell.
Ning Ai, Haoliang Yuan, Zhonghua Lu, Yong Liang, Qi Hong Lai, Loi Lei Lai, Hongmin Cai, Dong Ouyang
2025 J jnl
A Simplified Input Strategy for Predicting Multi-Type Associations in miRNA-LncRNA-Disease Network via Stacked Deep Matrix Factorization.
IEEE Trans. Comput. Biol. Bioinform.
Ning Ai, Haoliang Yuan, Zhonghua Lu, Yong Liang, Qi Hong Lai, Loi Lei Lai, Hongmin Cai, Dong Ouyang
2025 B conf
Dual-Model Semi-Supervised Anterior Segment Structure Segmentation Using Mamba.
SMC
Dong Ouyang, Xiaoming Liu, Ying Zhang, Guohuan Wu, Jinshan Tang
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
2024 B conf
CPF6D: 6DoF Pose Estimation Net based on Context Part Fusion for Robotic Grasping.
IJCNN
Shuangjie Yuan, Dong Ouyang, Lu Yang, Tieshan Li
2024 J jnl
HGCLAMIR: Hypergraph contrastive learning with attention mechanism and integrated multi-view representation for predicting miRNA-disease associations.
PLoS Comput. Biol.
Dong Ouyang, Yong Liang, Jinfeng Wang, Le Li, Ning Ai, Junning Feng, Shanghui Lu, Shuilin Liao, Xiaoying Liu, Shengli Xie
2024 J jnl
Multi-View Multiattention Graph Learning With Stack Deep Matrix Factorization for circRNA-Drug Sensitivity Association Identification.
IEEE J. Biomed. Health Informatics
Ning Ai, Haoliang Yuan, Yong Liang, Shanghui Lu, Dong Ouyang, Qi Hong Lai, Loi Lei Lai
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
Integration of multi-omics data using adaptive graph learning and attention mechanism for patient classification and biomarker identification.
Comput. Biol. Medicine
Dong Ouyang, Yong Liang, Le Li, Ning Ai, Shanghui Lu, Mingkun Yu, 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
2023 J jnl
Self-supervised learning-based Multi-Scale feature Fusion Network for survival analysis from whole slide images.
Comput. Biol. Medicine
Le Li, Yong Liang, Mingwen Shao, Shanghui Lu, Shuilin Liao, Dong Ouyang
2022 J jnl
MHDMF: Prediction of miRNA-disease associations based on Deep Matrix Factorization with Multi-source Graph Convolutional Network.
Comput. Biol. Medicine
Ning Ai, Yong Liang, Hao-Laing Yuan, Dong Ouyang, Xiao-Ying Liu, Shengli Xie, Yu-Han Ji
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
2012 — conf
The Study of the Structure "Verb+Numeral+Measure(le)" from the Perspective of Information Conveying Grammar.
CLSW
Dong Ouyang, Xiaoming Hu