Cheng Liang
Orcid: 0000-0003-3832-0969Affiliations:
- Shandong Normal University, Jinan, China
According to our database1,
Cheng Liang
authored at least 54 papers
between 2011 and 2025.
Collaborative distances:
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Bibliography
2025
Expert Syst. Appl., 2025
Unsupervised multi-view feature selection based on weighted low-rank tensor learning and its application in multi-omics datasets.
Eng. Appl. Artif. Intell., 2025
PCLSurv: a prototypical contrastive learning-based multi-omics data integration model for cancer survival prediction.
Briefings Bioinform., 2025
EDDINet: Enhancing drug-drug interaction prediction via information flow and consensus constrained multi-graph contrastive learning.
Artif. Intell. Medicine, 2025
2024
Drug repositioning based on residual attention network and free multiscale adversarial training.
BMC Bioinform., December, 2024
IEEE Trans. Knowl. Data Eng., November, 2024
Identifying virulence factors using graph transformer autoencoder with ESMFold-predicted structures.
Comput. Biol. Medicine, March, 2024
A Multi-Relational Graph Encoder Network for Fine-Grained Prediction of MiRNA-Disease Associations.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024
Sparse graph cascade multi-kernel fusion contrastive learning for microbe-disease association prediction.
Expert Syst. Appl., 2024
Deep learning model for protein multi-label subcellular localization and function prediction based on multi-task collaborative training.
Briefings Bioinform., 2024
GCEA: Contrastive-Enhanced Autoencoders with Adaptive Completion for Partial Multi-omics Integration in Cancer Subtyping.
Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024
2023
MNCLCDA: predicting circRNA-drug sensitivity associations by using mixed neighbourhood information and contrastive learning.
BMC Medical Informatics Decis. Mak., December, 2023
EMPPNet: Enhancing Molecular Property Prediction via Cross-modal Information Flow and Hierarchical Attention.
Expert Syst. Appl., December, 2023
Protein-protein interaction site prediction by model ensembling with hybrid feature and self-attention.
BMC Bioinform., December, 2023
Multi-view unsupervised feature selection with tensor robust principal component analysis and consensus graph learning.
Pattern Recognit., September, 2023
Incomplete multi-view clustering by simultaneously learning robust representations and optimal graph structures.
Inf. Sci., September, 2023
Identifying spatial domains of spatially resolved transcriptomics via multi-view graph convolutional networks.
Briefings Bioinform., September, 2023
Briefings Bioinform., September, 2023
CasANGCL: pre-training and fine-tuning model based on cascaded attention network and graph contrastive learning for molecular property prediction.
Briefings Bioinform., January, 2023
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
2022
GGAECDA: Predicting circRNA-disease associations using graph autoencoder based on graph representation learning.
Comput. Biol. Chem., 2022
Predicting miRNA-disease associations based on graph attention network with multi-source information.
BMC Bioinform., 2022
A knowledge-driven network for fine-grained relationship detection between miRNA and disease.
Briefings Bioinform., 2022
2021
Inferring Synergistic Drug Combinations Based on Symmetric Meta-Path in a Novel Heterogeneous Network.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Inferring MicroRNA-Disease Associations Based on the Identification of a Functional Module.
J. Comput. Biol., 2021
Bioinform., 2021
Cancer Subtype Identification based on Multi-view Subspace Clustering with Adaptive Local Structure Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
Identifying lncRNA and mRNA Co-Expression Modules from Matched Expression Data in Ovarian Cancer.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
Incorporating Multisource Knowledge To Predict Drug Synergy Based on Graph Co-regularization.
J. Chem. Inf. Model., 2020
Potential circRNA-disease association prediction using DeepWalk and network consistency projection.
J. Biomed. Informatics, 2020
Neurocomputing, 2020
2019
Adaptive multi-view multi-label learning for identifying disease-associated candidate miRNAs.
PLoS Comput. Biol., 2019
Correlation of Gut Microbiome Between ASD Children and Mothers and Potential Biomarkers for Risk Assessment.
Genom. Proteom. Bioinform., 2019
ACM Comput. Surv., 2019
CeModule: an integrative framework for discovering regulatory patterns from genomic data in cancer.
BMC Bioinform., 2019
IEEE Access, 2019
2018
Quant. Biol., 2018
Predicting microRNA-disease associations using label propagation based on linear neighborhood similarity.
J. Biomed. Informatics, 2018
Human disease MiRNA inference by combining target information based on heterogeneous manifolds.
J. Biomed. Informatics, 2018
Semi-supervised prediction of human miRNA-disease association based on graph regularization framework in heterogeneous networks.
Neurocomputing, 2018
A graph regularized non-negative matrix factorization method for identifying microRNA-disease associations.
Bioinform., 2018
IEEE Access, 2018
IEEE Access, 2018
2017
IEEE ACM Trans. Comput. Biol. Bioinform., 2017
Predicting MicroRNA-Disease Associations Using Kronecker Regularized Least Squares Based on Heterogeneous Omics Data.
IEEE Access, 2017
Predicting MicroRNA-Disease Associations Using Network Topological Similarity Based on DeepWalk.
IEEE Access, 2017
IEEE Access, 2017
2016
A Novel Method to Detect Functional microRNA Regulatory Modules by Bicliques Merging.
IEEE ACM Trans. Comput. Biol. Bioinform., 2016
Detecting overlapping protein complexes in weighted protein-protein interaction networks using pseudo-clique extension based on fuzzy relation.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
2015
MOEPGA: A novel method to detect protein complexes in yeast protein-protein interaction networks based on MultiObjective Evolutionary Programming Genetic Algorithm.
Comput. Biol. Chem., 2015
A novel motif-discovery algorithm to identify co-regulatory motifs in large transcription factor and microRNA co-regulatory networks in human.
Bioinform., 2015
2014
Mirsynergy: detecting synergistic miRNA regulatory modules by overlapping neighbourhood expansion.
Bioinform., 2014
2011
Proceedings of the Artificial Intelligence and Computational Intelligence, 2011