Yongqing Zhang
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Bibliography
2026
Prediction of cancer drug response based on heterogeneous graph neural networks and multi-omics data.
Neural Networks, 2026
2025
Improved DOA Estimation Method Based on Globally Bounded Nonlinear Covariance via Acoustic Vector Sensor Array Under Impulsive Noise.
Circuits Syst. Signal Process., November, 2025
A Comprehensive Adaptive Interpretable Takagi-Sugeno-Kang Fuzzy Classifier for Fatigue Driving Detection.
IEEE Trans. Fuzzy Syst., January, 2025
IEEE Trans. Instrum. Meas., 2025
MMGCSyn: Explainable synergistic drug combination prediction based on multimodal fusion.
Future Gener. Comput. Syst., 2025
An overview of computational methods in single-cell transcriptomic cell type annotation.
Briefings Bioinform., 2025
Supervised pre-training for feature extraction in cell type annotation of single-cell multi-omics data.
Appl. Soft Comput., 2025
Proceedings of the International Joint Conference on Neural Networks, 2025
Enhancing Drug Synergy Prediction via flexible Fusion of Multimodal Heterogeneous Data.
Proceedings of the International Joint Conference on Neural Networks, 2025
Single Cell Mosaic Integration via Regulatory Graph Guided Variational Cross-modal Fusion.
Proceedings of the International Joint Conference on Neural Networks, 2025
GGANet: A Geometry-Enhanced Gated Attention Network for Drug-Target Interaction Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2025
Distribution and Knowledge Alignment-based Single-cell Multi-omics Cell Type Annotation.
Proceedings of the International Joint Conference on Neural Networks, 2025
2024
Medical Biol. Eng. Comput., October, 2024
SFT-Net: A Network for Detecting Fatigue From EEG Signals by Combining 4D Feature Flow and Attention Mechanism.
IEEE J. Biomed. Health Informatics, August, 2024
CSF-GTNet: A Novel Multi-Dimensional Feature Fusion Network Based on Convnext-GeLU- BiLSTM for EEG-Signals-Enabled Fatigue Driving Detection.
IEEE J. Biomed. Health Informatics, May, 2024
An EEG-based cross-subject interpretable CNN for game player expertise level classification.
Expert Syst. Appl., March, 2024
A multiscale feature fusion network based on attention mechanism for motor imagery EEG decoding.
Appl. Soft Comput., January, 2024
Innovation in Financial Enterprise Risk Prediction Model: A Hybrid Deep Learning Technique Based on CNN-Transformer-WT.
J. Organ. End User Comput., 2024
scAuto as a comprehensive framework for single-cell chromatin accessibility data analysis.
Comput. Biol. Medicine, 2024
Cell-Specific Highly Correlated Network for Self-Supervised Distillation in Cell Type Annotation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Connect. Sci., December, 2023
Interpretable single-cell transcription factor prediction based on deep learning with attention mechanism.
Comput. Biol. Chem., October, 2023
Multiple sequence alignment based on deep reinforcement learning with self-attention and positional encoding.
Bioinform., October, 2023
An EEG-based Brain Cognitive Dynamic Recognition Network for representations of brain fatigue.
Appl. Soft Comput., October, 2023
HEAP: a task adaptive-based explainable deep learning framework for enhancer activity prediction.
Briefings Bioinform., September, 2023
Comput. Biol. Medicine, June, 2023
T-A-MFFNet: Multi-feature fusion network for EEG analysis and driving fatigue detection based on time domain network and attention network.
Comput. Biol. Chem., June, 2023
HAMPLE: deciphering TF-DNA binding mechanism in different cellular environments by characterizing higher-order nucleotide dependency.
Bioinform., May, 2023
Digital Image Correlation with a Prism Camera and Its Application in Complex Deformation Measurement.
Sensors, 2023
Expert Syst. Appl., 2023
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023
Infinity-Norm Weighted Low-Order Sparse Iterative DOA Estimation Under Impulsive Noise.
Proceedings of the IEEE International Conference on Signal Processing, 2023
HGTDG: An Interpretable Heterogeneous Graph Transformer Framework for Cancer Driver Gene Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
KDProg: A Knowledge distillation graph neural network for cancer prognosis prediction and analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Exploring Parameter-Efficient Fine-Tuning of a Large-Scale Pre-Trained Model for scRNA-seq Cell Type Annotation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
IEEE Trans. Instrum. Meas., 2022
Fusion prior gene network for high reliable single-cell gene regulatory network inference.
Comput. Biol. Medicine, 2022
Comput. Biol. Medicine, 2022
Comput. Biol. Chem., 2022
A hybrid ensemble and evolutionary algorithm for imbalanced classification and its application on bioinformatics.
Comput. Biol. Chem., 2022
Briefings Bioinform., 2022
A novel convolution attention model for predicting transcription factor binding sites by combination of sequence and shape.
Briefings Bioinform., 2022
Predicting cell type-specific effects of variants on TF-DNA binding by meta-learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Single-cell TF-DNA binding prediction and analysis based on transfer learning framework.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
Neurocomputing, 2021
Single-cell RNA Sequencing Reveals Thoracolumbar Vertebra Heterogeneity and Rib-genesis in Pigs.
Genom. Proteom. Bioinform., 2021
CAE-CNN: Predicting transcription factor binding site with convolutional autoencoder and convolutional neural network.
Expert Syst. Appl., 2021
MFFNet: Multi-dimensional Feature Fusion Network based on attention mechanism for sEMG analysis to detect muscle fatigue.
Expert Syst. Appl., 2021
Ecol. Informatics, 2021
High-resolution transcription factor binding sites prediction improved performance and interpretability by deep learning method.
Briefings Bioinform., 2021
BindTransNet: A Transferable Transformer-Based Architecture for Cross-Cell Type DNA-Protein Binding Sites Prediction.
Proceedings of the Bioinformatics Research and Applications - 17th International Symposium, 2021
By hybrid neural networks for prediction and interpretation of transcription factor binding sites based on multi-omics.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
Int. J. Mach. Learn. Cybern., 2020
Eng. Appl. Artif. Intell., 2020
IEEE Access, 2020
IEEE Access, 2020
GRRFNet: Guided Regularized Random Forest-based Gene Regulatory Network Inference Using Data Integration.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
Identification of DNA-protein binding sites by bootstrap multiple convolutional neural networks on sequence information.
Eng. Appl. Artif. Intell., 2019
BMC Bioinform., 2019
2018
Concept Factorization by Joint Locality-constrained and ℓ 2, 1-norm Regularization for Image Representation.
J. Multiple Valued Log. Soft Comput., 2018
EURASIP J. Image Video Process., 2018
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2018
ENSEMBLE-CNN: Predicting DNA Binding Sites in Protein Sequences by an Ensemble Deep Learning Method.
Proceedings of the Intelligent Computing Theories and Application, 2018
2017
ERMPD: An efficient and robustness membrane potential driven supervised learning in spiking neural networks.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
2016
Nucleic Acids Res., 2016
2013
Mining effective multi-segment sliding window for pathogen incidence rate prediction.
Data Knowl. Eng., 2013
Using gene expression programming to infer gene regulatory networks from time-series data.
Comput. Biol. Chem., 2013
2012
Prediction of flavin mono-nucleotide binding sites using modified PSSM profile and ensemble support vector machine.
Comput. Biol. Medicine, 2012
Using ensemble methods to deal with imbalanced data in predicting protein-protein interactions.
Comput. Biol. Chem., 2012
Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 2012
1997
Speech Commun., 1997
1994