Yongqing Zhang

Orcid: 0000-0003-3422-8305

According to our database1, Yongqing Zhang authored at least 59 papers between 1994 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
CT-Net: an interpretable CNN-Transformer fusion network for fNIRS classification.
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

scAuto as a comprehensive framework for single-cell chromatin accessibility data analysis.
Comput. Biol. Medicine, 2024

A Local-Ascending-Global Learning Strategy for Brain-Computer Interface.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Emotion recognition based on convolutional gated recurrent units with attention.
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

A deep learning network based on CNN and sliding window LSTM for spike sorting.
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

SHNN: A single-channel EEG sleep staging model based on semi-supervised learning.
Expert Syst. Appl., 2023

DeepChrom: A Diffusion-Based Framework for Long-Tailed Chromatin State Prediction.
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
A Two-Step Calibration Method for Vision Measurement With Large Field of View.
IEEE Trans. Instrum. Meas., 2022

Fusion prior gene network for high reliable single-cell gene regulatory network inference.
Comput. Biol. Medicine, 2022

Towards a better understanding of TF-DNA binding prediction from genomic features.
Comput. Biol. Medicine, 2022

Multiple Sequence Alignment based on deep Q network with negative feedback policy.
Comput. Biol. Chem., 2022

A hybrid ensemble and evolutionary algorithm for imbalanced classification and its application on bioinformatics.
Comput. Biol. Chem., 2022

A survey on the algorithm and development of multiple sequence alignment.
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
Self-representation and Class-Specificity Distribution Based Multi-View Clustering.
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

Regional-scale vegetation-climate interactions on the Qinghai-Tibet Plateau.
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
DeepSite: bidirectional LSTM and CNN models for predicting DNA-protein binding.
Int. J. Mach. Learn. Cybern., 2020

A point-of-interest suggestion algorithm in Multi-source geo-social networks.
Eng. Appl. Artif. Intell., 2020

A Review About Transcription Factor Binding Sites Prediction Based on Deep Learning.
IEEE Access, 2020

SOTB: Semi-Supervised Oversampling Approach Based on Trigonal Barycenter Theory.
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

How to balance the bioinformatics data: pseudo-negative sampling.
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

ICANet: a simple cascade linear convolution network for face recognition.
EURASIP J. Image Video Process., 2018

Design and Experiments of a Redundantly Actuated Cable-Driven Parallel Robot.
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
GeNemo: a search engine for web-based functional genomic data.
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

Marketing Positioning System Designing Based on Extenics.
Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 2012

1997
Principal component analysis of cross sections of tongue shapes in vowel production.
Speech Commun., 1997

1994
A reduced parameter bilinear time series model.
IEEE Trans. Signal Process., 1994


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