Yongqing Zhang

According to our database, Yongqing Zhang authored at least 31 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Prediction of cancer drug response based on heterogeneous graph neural networks and multi-omics data.

Junming Zhang, Shuwen Xiong, Yugui Xu, Yongqing Zhang

Neural Networks, 2026

2025

A Comprehensive Adaptive Interpretable Takagi-Sugeno-Kang Fuzzy Classifier for Fatigue Driving Detection.

Dongrui Gao, Shihong Liu, Yingxian Gao, Pengrui Li, Haokai Zhang, Manqing Wang, Yan Shen, Lutao Wang, Yongqing Zhang

IEEE Trans. Fuzzy Syst., January, 2025

MMGCSyn: Explainable synergistic drug combination prediction based on multimodal fusion.

Yongqing Zhang, Hao Yuan, Yuhang Liu, Shuwen Xiong, Zhigan Zhou, Yugui Xu, Xinyu Mao, Meiqin Gong

Future Gener. Comput. Syst., 2025

An overview of computational methods in single-cell transcriptomic cell type annotation.

Tianhao Li, Zixuan Wang, Yuhang Liu, Sihan He, Quan Zou, Yongqing Zhang

Briefings Bioinform., 2025

Supervised pre-training for feature extraction in cell type annotation of single-cell multi-omics data.

Yongqing Zhang, Tianhao Li, Yuhang Liu, Hong Luo, Yugui Xu, Zixuan Wang, Quan Zou

Appl. Soft Comput., 2025

2024

SFT-Net: A Network for Detecting Fatigue From EEG Signals by Combining 4D Feature Flow and Attention Mechanism.

Dongrui Gao, Kejie Wang, Manqing Wang, Jiliu Zhou, Yongqing Zhang

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.

Dongrui Gao, Pengrui Li, Manqing Wang, Yujie Liang, Shihong Liu, Jiliu Zhou, Lutao Wang, Yongqing Zhang

IEEE J. Biomed. Health Informatics, May, 2024

An EEG-based cross-subject interpretable CNN for game player expertise level classification.

Liqi Lin, Pengrui Li, Qinghua Wang, Binnan Bai, Ruifang Cui, Zhenxia Yu, Dongrui Gao, Yongqing Zhang

Expert Syst. Appl., March, 2024

A multiscale feature fusion network based on attention mechanism for motor imagery EEG decoding.

Dongrui Gao, Wen Yang, Pengrui Li, Shihong Liu, Tiejun Liu, Manqing Wang, Yongqing Zhang

Appl. Soft Comput., January, 2024

scAuto as a comprehensive framework for single-cell chromatin accessibility data analysis.

Meiqin Gong, Yun Yu, Zixuan Wang, Junming Zhang, Xiongyi Wang, Cheng Fu, Yongqing Zhang, Xiaodong Wang

Comput. Biol. Medicine, 2024

Cell-Specific Highly Correlated Network for Self-Supervised Distillation in Cell Type Annotation.

Tianhao Li, Yugui Xu, Sihan He, Yuhang Liu, Zixuan Wang, Zhigan Zhou, Yongqing Zhang, Quan Zou

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

Multiple sequence alignment based on deep reinforcement learning with self-attention and positional encoding.

Yuhang Liu, Hao Yuan, Qiang Zhang, Zixuan Wang, Shuwen Xiong, Naifeng Wen, Yongqing Zhang

Bioinform., October, 2023

An EEG-based Brain Cognitive Dynamic Recognition Network for representations of brain fatigue.

Pengrui Li, Yongqing Zhang, Shihong Liu, Liqi Lin, Haokai Zhang, Tian Tang, Dongrui Gao

Appl. Soft Comput., October, 2023

HEAP: a task adaptive-based explainable deep learning framework for enhancer activity prediction.

Yuhang Liu, Zixuan Wang, Hao Yuan, Guiquan Zhu, Yongqing Zhang

Briefings Bioinform., September, 2023

T-A-MFFNet: Multi-feature fusion network for EEG analysis and driving fatigue detection based on time domain network and attention network.

Bo Peng, Yongqing Zhang, Manqing Wang, Jun Chen, Dongrui Gao

Comput. Biol. Chem., June, 2023

HAMPLE: deciphering TF-DNA binding mechanism in different cellular environments by characterizing higher-order nucleotide dependency.

Zixuan Wang, Shuwen Xiong, Yun Yu, Jiliu Zhou, Yongqing Zhang

Bioinform., May, 2023

SHNN: A single-channel EEG sleep staging model based on semi-supervised learning.

Yongqing Zhang, Wenpeng Cao, Lixiao Feng, Manqing Wang, Tianyu Geng, Jiliu Zhou, Dongrui Gao

Expert Syst. Appl., 2023

HGTDG: An Interpretable Heterogeneous Graph Transformer Framework for Cancer Driver Gene Prediction.

Shuwen Xiong, Zixuan Wang, Junming Zhang, Guiquan Zhu, Yongqing Zhang, Quan Zou

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

KDProg: A Knowledge distillation graph neural network for cancer prognosis prediction and analysis.

Shuwen Xiong, Zixuan Wang, Junming Zhang, Hong Luo, Yongqing Zhang, Quan Zou

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.

Yuhang Liu, Tianhao Li, Zixuan Wang, Guiquan Zhu, Yongqing Zhang, Quan Zou

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Towards a better understanding of TF-DNA binding prediction from genomic features.

Zixuan Wang, Meiqin Gong, Yuhang Liu, Shuwen Xiong, Maocheng Wang, Jiliu Zhou, Yongqing Zhang

Comput. Biol. Medicine, 2022

Multiple Sequence Alignment based on deep Q network with negative feedback policy.

Yongqing Zhang, Qiang Zhang, Yuhang Liu, Meng Lin, Chunli Ding

Comput. Biol. Chem., 2022

A survey on the algorithm and development of multiple sequence alignment.

Yongqing Zhang, Qiang Zhang, Jiliu Zhou, Quan Zou

Briefings Bioinform., 2022

A novel convolution attention model for predicting transcription factor binding sites by combination of sequence and shape.

Yongqing Zhang, Zixuan Wang, Yuanqi Zeng, Yuhang Liu, Shuwen Xiong, Maocheng Wang, Jiliu Zhou, Quan Zou

Briefings Bioinform., 2022

Predicting cell type-specific effects of variants on TF-DNA binding by meta-learning.

Yongqing Zhang, Yuhang Liu, Zixuan Wang, Maocheng Wang, Shuwen Xiong, Quan Zou

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Single-cell TF-DNA binding prediction and analysis based on transfer learning framework.

Zixuan Wang, Yongqing Zhang, Yun Yu, Maocheng Wang, Yuhang Liu, Quan Zou

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

MFFNet: Multi-dimensional Feature Fusion Network based on attention mechanism for sEMG analysis to detect muscle fatigue.

Yongqing Zhang, Siyu Chen, Wenpeng Cao, Peng Guo, Dongrui Gao, Manqing Wang, Jiliu Zhou, Ting Wang

Expert Syst. Appl., 2021

High-resolution transcription factor binding sites prediction improved performance and interpretability by deep learning method.

Yongqing Zhang, Zixuan Wang, Yuanqi Zeng, Jiliu Zhou, Quan Zou

Briefings Bioinform., 2021

By hybrid neural networks for prediction and interpretation of transcription factor binding sites based on multi-omics.

Yongqing Zhang, Zixuan Wang, Yuhang Liu, Libo Lu, Xiaoyao Tan, Quan Zou

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

A Review About Transcription Factor Binding Sites Prediction Based on Deep Learning.

Yuanqi Zeng, Meiqin Gong, Meng Lin, Dongrui Gao, Yongqing Zhang

IEEE Access, 2020

GRRFNet: Guided Regularized Random Forest-based Gene Regulatory Network Inference Using Data Integration.

Yongqing Zhang, Qingyuan Chen, Dongrui Gao, Quan Zou

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020