Ling-Yun Dai - RankMe

44 papers Journal 26Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Hierarchical Attention-Based Negative Sampling Method for Drug Repositioning Using Neighborhood Interaction Fusion. IEEE J. Biomed. Health Informatics Cheng-Long Mi, Ling-Yun Dai, Junliang Shang, Rong Zhu, Juan Wang, Feng Li
2026	J	`jnl`	A multi-source similarity fusion method based on hypergraph convolutional networks and graph transformers for predicting miRNA-disease associations. Comput. Biol. Chem. Ling-Yun Dai, Cheng-Long Mi, Xu Wang, Junliang Shang, Feng Li, Juan Wang, Rong Zhu
2025	—	`conf`	Adaptive Weighting Contrastive Learning for Spatial Domain Identification in Spatial Transcriptomics. BIBM Xiyue Li, Ling-Yun Dai, Junliang Shang, Rong Zhu, Feng Li
2025	J	`jnl`	CLHGNNMDA: Hypergraph Neural Network Model Enhanced by Contrastive Learning for miRNA-Disease Association Prediction. J. Comput. Biol. Rong Zhu, Yong Wang, Ling-Yun Dai
2025	—	`conf`	MGAMDA: Multi Source Similarity Fusion-Based Graph Convolutional Neural Network and Attention Mechanism Network for Predicting MiRNA-Disease Associations. BIBM Ling-Yun Dai, Cheng-Long Mi, Xu Wang, Juan Wang, Rong Zhu, Feng Li
2025	J	`jnl`	MPSO-CD: A Multi-Objective Particle Swarm Optimization Community Detection Method for Identifying Disease Modules. IEEE Trans. Comput. Biol. Bioinform. Xuhui Zhu, Mingyuan Bi, Junliang Shang, Yan Sun, Feng Li, Yuanyuan Zhang, Ling-Yun Dai, Shengjun Li, Jinxing Liu
2025	J	`jnl`	Optimizing transformer-based prediction of human microbe-disease associations through integrated loss strategies. PeerJ Comput. Sci. Rong Zhu, Yong Wang, Junliang Shang, Ling-Yun Dai, Feng Li
2025	—	`conf`	Spatial Multi-Omics Integration Via Information-Aware Multi-View Contrastive Learning. BIBM Conghui Zhang, Ling-Yun Dai, Rong Zhu, Juan Wang, Junliang Shang, Feng Li
2025	—	`conf`	scGZDC: Graph-Based ZINB Deep Clustering for Single-Cell RNA-Seq Data. BIBM Hui-Bo Tian, Xiangzhen Kong, Jin-Xing Liu, Junliang Shang, Juan Wang, Ling-Yun Dai
2024	J	`jnl`	A Fusion Learning Model Based on Deep Learning for Single-Cell RNA Sequencing Data Clustering. J. Comput. Biol. Tian-Jing Qiao, Feng Li, Shasha Yuan, Ling-Yun Dai, Juan Wang
2024	J	`jnl`	Heterogeneous network and graph attention auto-encoder for LncRNA-disease association prediction. CoRR Jin-Xing Liu, Wen-Yu Xi, Ling-Yun Dai, Chun-Hou Zheng, Ying-Lian Gao
2024	—	`conf`	MNGCCL: Multi-neighborhood graph collaborative contrastive learning for drug-disease association prediction. BIBM Cheng-Long Mi, Jin-Xing Liu, Xu Wang, Junliang Shang, Rong Zhu, Juan Wang, Ling-Yun Dai
2023	J	`jnl`	ARGLRR: A Sparse Low-Rank Representation Single-Cell RNA-Sequencing Data Clustering Method Combined with a New Graph Regularization. J. Comput. Biol. Zhen-Chang Wang, Jin-Xing Liu, Junliang Shang, Ling-Yun Dai, Chun-Hou Zheng, Juan Wang
2023	—	`conf`	MKGSAGE: A Computational Framework via Multiple Kernel Fusion on GraphSAGE for Inferring Potential Disease-Related Microbes. BIBM Shuang Wang, Jin-Xing Liu, Bao-Min Liu, Ling-Yun Dai, Feng Li, Ying-Lian Gao
2023	—	`conf`	MLQP: A Machine Learning Based Quadratic Prediction Method for MiRNA-Disease Associations. BIBM Xu Wang, Ling-Yun Dai, Jin-Xing Liu, Shuang Wang
2023	—	`conf`	scGASI: A Graph Autoencoder-Based Single-Cell Integration Clustering Method. ISBRA Tian-Jing Qiao, Feng Li, Shasha Yuan, Ling-Yun Dai, Juan Wang
2022	—	`conf`	ARGLRR: An Adjusted Random Walk Graph Regularization Sparse Low-Rank Representation Method for Single-Cell RNA-Sequencing Data Clustering. ISBRA Zhen-Chang Wang, Jin-Xing Liu, Junliang Shang, Ling-Yun Dai, Chun-Hou Zheng, Juan Wang
2022	—	`conf`	KSMDB: A classification method in imbalanced COVID dataset based on KmeansSMOTE and DeBERT. BIBM Rong Zhu, Hua-Hui Gao, Junliang Shang, Ling-Yun Dai
2022	J	`jnl`	Multi-view manifold regularized compact low-rank representation for cancer samples clustering on multi-omics data. BMC Bioinform. Juan Wang, Cong-Hai Lu, Xiangzhen Kong, Ling-Yun Dai, Shasha Yuan, Xiaofeng Zhang
2022	J	`jnl`	Predicting miRNA-disease associations via layer attention graph convolutional network model. BMC Medical Informatics Decis. Mak. Han Han, Rong Zhu, Jin-Xing Liu, Ling-Yun Dai
2021	J	`jnl`	IPCARF: improving lncRNA-disease association prediction using incremental principal component analysis feature selection and a random forest classifier. BMC Bioinform. Rong Zhu, Yong Wang, Jin-Xing Liu, Ling-Yun Dai
2021	—	`conf`	Joint CC and Bimax: A Biclustering Method for Single-Cell RNA-Seq Data Analysis. ISBRA He-Ming Chu, Xiangzhen Kong, Jin-Xing Liu, Juan Wang, Shasha Yuan, Ling-Yun Dai
2021	J	`jnl`	Logistic Weighted Profile-Based Bi-Random Walk for Exploring MiRNA-Disease Associations. J. Comput. Sci. Technol. Ling-Yun Dai, Jin-Xing Liu, Rong Zhu, Juan Wang, Shasha Yuan
2021	J	`jnl`	Sparse robust graph-regularized non-negative matrix factorization based on correntropy. J. Bioinform. Comput. Biol. Chuan-Yuan Wang, Ying-Lian Gao, Jin-Xing Liu, Ling-Yun Dai, Junliang Shang
2020	J	`jnl`	Block-Constraint Laplacian-Regularized Low-Rank Representation and Its Application for Cancer Sample Clustering Based on Integrated TCGA Data. Complex. Juan Wang, Jin-Xing Liu, Chun-Hou Zheng, Cong-Hai Lu, Ling-Yun Dai, Xiangzhen Kong
2020	—	`conf`	Dual Graph regularized PCA based on Different Norm Constraints for Bi-clustering Analysis on Single-cell RNA-seq Data. BIBM Yu Song, Xiangzhen Kong, Jin-Xing Liu, Juan Wang, Shasha Yuan, Ling-Yun Dai
2020	J	`jnl`	Joint Nonnegative Matrix Factorization Based on Sparse and Graph Laplacian Regularization for Clustering and Co-Differential Expression Genes Analysis. Complex. Ling-Yun Dai, Rong Zhu, Juan Wang
2019	J	`jnl`	ACCBN: ant-Colony-clustering-based bipartite network method for predicting long non-coding RNA-protein interactions. BMC Bioinform. Rong Zhu, Guangshun Li, Jin-Xing Liu, Ling-Yun Dai, Ying Guo
2019	J	`jnl`	Hypergraph Regularized Discriminative Nonnegative Matrix Factorization on Sample Classification and Co-Differentially Expressed Gene Selection. Complex. Yong-Jing Hao, Ying-Lian Gao, Mi-Xiao Hou, Ling-Yun Dai, Jin-Xing Liu
2019	J	`jnl`	Integrative graph regularized matrix factorization for drug-pathway associations analysis. Comput. Biol. Chem. Ling-Yun Dai, Chun-Hou Zheng, Jin-Xing Liu, Rong Zhu, Shasha Yuan, Juan Wang, Xiangzhen Kong
2019	J	`jnl`	L2, 1-GRMF: an improved graph regularized matrix factorization method to predict drug-target interactions. BMC Bioinform. Zhen Cui, Ying-Lian Gao, Jin-Xing Liu, Ling-Yun Dai, Shasha Yuan
2019	J	`jnl`	Laplacian regularized low-rank representation for cancer samples clustering. Comput. Biol. Chem. Juan Wang, Jin-Xing Liu, Xiangzhen Kong, Shasha Yuan, Ling-Yun Dai
2019	J	`jnl`	Multi-cancer samples clustering via graph regularized low-rank representation method under sparse and symmetric constraints. BMC Bioinform. Juan Wang, Cong-Hai Lu, Jin-Xing Liu, Ling-Yun Dai, Xiangzhen Kong
2019	J	`jnl`	Network analysis based on low-rank method for mining information on integrated data of multi-cancers. Comput. Biol. Chem. Mi-Xiao Hou, Ying-Lian Gao, Jin-Xing Liu, Ling-Yun Dai, Xiangzhen Kong, Junliang Shang
2019	J	`jnl`	PCA via joint graph Laplacian and sparse constraint: Identification of differentially expressed genes and sample clustering on gene expression data. BMC Bioinform. Chun-Mei Feng, Yong Xu, Mi-Xiao Hou, Ling-Yun Dai, Junliang Shang
2019	J	`jnl`	The computational prediction of drug-disease interactions using the dual-network L2,1-CMF method. BMC Bioinform. Zhen Cui, Ying-Lian Gao, Jin-Xing Liu, Juan Wang, Junliang Shang, Ling-Yun Dai
2018	—	`conf`	A Fast Quantum Clustering Approach for Cancer Gene Clustering. BIBM Rong Zhu, Guangshun Li, Jin-Xing Liu, Ling-Yun Dai, Shasha Yuan, Ying Guo
2018	—	`conf`	Performance Analysis of Non-negative Matrix Factorization Methods on TCGA Data. ICIC (2) Mi-Xiao Hou, Jin-Xing Liu, Junliang Shang, Ying-Lian Gao, Xiangzhen Kong, Ling-Yun Dai
2018	—	`conf`	Sparse Orthogonal Nonnegative Matrix Factorization for Identifying Differentially Expressed Genes and Clustering Tumor Samples. BIBM Ling-Yun Dai, Jin-Xing Liu, Rong Zhu, Xiangzhen Kong, Mi-Xiao Hou, Shasha Yuan
2017	J	`jnl`	A novel low-rank representation method for identifying differentially expressed genes. Int. J. Data Min. Bioinform. Xiu-Xiu Xu, Ying-Lian Gao, Jin-Xing Liu, Yaxuan Wang, Ling-Yun Dai, Xiangzhen Kong, Shasha Yuan
2017	—	`conf`	Low-rank representation regularized by L2, 1-norm for identifying differentially expressed genes. BIBM Yaxuan Wang, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng, Ling-Yun Dai
2017	J	`jnl`	Robust Nonnegative Matrix Factorization via Joint Graph Laplacian and Discriminative Information for Identifying Differentially Expressed Genes. Complex. Ling-Yun Dai, Chun-Mei Feng, Jin-Xing Liu, Chun-Hou Zheng, Jiguo Yu, Mi-Xiao Hou
2017	—	`conf`	Robust graph regularized sparse orthogonal nonnegative matrix factorization for identifying differentially expressed genes. BIBM Ling-Yun Dai, Jin-Xing Liu, Chun-Hou Zheng, Junliang Shang, Chun-Mei Feng, Yaxuan Wang
2016	—	`conf`	Robust graph regularized discriminative nonnegative matrix factorization for characteristic gene selection. BIBM Ling-Yun Dai, Chun-Mei Feng, Jin-Xing Liu, Chun-Hou Zheng, Mi-Xiao Hou, Jiguo Yu