Changqing Yu
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Bibliography
2024
MHESMMR: a multilevel model for predicting the regulation of miRNAs expression by small molecules.
BMC Bioinform., December, 2024
SiSGC: A Drug Repositioning Prediction Model Based on Heterogeneous Simplifying Graph Convolution.
J. Chem. Inf. Model., January, 2024
Likelihood-based feature representation learning combined with neighborhood information for predicting circRNA-miRNA associations.
Briefings Bioinform., January, 2024
2023
Apple leaf disease recognition method based on Siamese dilated Inception network with less training samples.
Comput. Electron. Agric., October, 2023
An efficient circRNA-miRNA interaction prediction model by combining biological text mining and wavelet diffusion-based sparse network structure embedding.
Comput. Biol. Medicine, October, 2023
BCMCMI: A Fusion Model for Predicting circRNA-miRNA Interactions Combining Semantic and Meta-path.
J. Chem. Inf. Model., August, 2023
A feature extraction method based on noise reduction for circRNA-miRNA interaction prediction combining multi-structure features in the association networks.
Briefings Bioinform., May, 2023
PPAEDTI: Personalized Propagation Auto-Encoder Model for Predicting Drug-Target Interactions.
IEEE J. Biomed. Health Informatics, 2023
PEFNet: Position Enhancement Faster Network for Object Detection in Roadside Perception System.
IEEE Access, 2023
Adverse Drug Reaction from Social Media by Cascade Feature Extraction and Meta-Learner.
Proceedings of the 6th International Conference on Signal Processing and Machine Learning, 2023
2022
A biomedical knowledge graph-based method for drug-drug interactions prediction through combining local and global features with deep neural networks.
Briefings Bioinform., 2022
A novel circRNA-miRNA association prediction model based on structural deep neural network embedding.
Briefings Bioinform., 2022
Proceedings of the Intelligent Computing Theories and Application, 2022
2021
A Sparse Feature Extraction Method with Elastic Net for Drug-Target Interaction Identification.
Sci. Program., 2021
FWHT-RF: A Novel Computational Approach to Predict Plant Protein-Protein Interactions via an Ensemble Learning Method.
Sci. Program., 2021
Computational Prediction of Protein-Protein Interactions in Plants Using Only Sequence Information.
Proceedings of the Intelligent Computing Theories and Application, 2021
2020
Remote sensing image classification based on RBF neural network based on fuzzy C-means clustering algorithm.
J. Intell. Fuzzy Syst., 2020
Prediction of Drug-Target Interactions by Ensemble Learning Method From Protein Sequence and Drug Fingerprint.
IEEE Access, 2020
Predicting Protein-Protein Interactions from Protein Sequence Using Locality Preserving Projections and Rotation Forest.
Proceedings of the Intelligent Computing Theories and Application, 2020
Predicting Protein-Protein Interactions from Protein Sequence Information Using Dual-Tree Complex Wavelet Transform.
Proceedings of the Intelligent Computing Theories and Application, 2020
Identification of Autistic Risk Genes Using Developmental Brain Gene Expression Data.
Proceedings of the Intelligent Computing Theories and Application, 2020
2019
An Efficient Ensemble Learning Approach for Predicting Protein-Protein Interactions by Integrating Protein Primary Sequence and Evolutionary Information.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
2017
SAR Image Segmentation by Selected Principal Components and Kernel Graph Cuts Ensembles.
Int. J. Pattern Recognit. Artif. Intell., 2017
2013
A Parallel Genetic Algorithm for Solving the Probabilistic Minimum Spanning Tree Problem.
Proceedings of the Ninth International Conference on Computational Intelligence and Security, 2013
2009
Proceedings of the IEEE International Conference on Virtual Environments, 2009