Yongqing Zhang

According to our database, Yongqing Zhang authored at least 55 papers between 1994 and 2024.

Collaborative distances:

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

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

A Local-Ascending-Global Learning Strategy for Brain-Computer Interface.

Dongrui Gao, Haokai Zhang, Pengrui Li, Tian Tang, Shihong Liu, Zhihong Zhou, Shaofei Ying, Ye Zhu, Yongqing Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Emotion recognition based on convolutional gated recurrent units with attention.

Zhu Ye, Yuan Jing, Qinghua Wang, Pengrui Li, Zhihong Liu, Mingjing Yan, Yongqing Zhang, Dongrui Gao

Connect. Sci., December, 2023

Interpretable single-cell transcription factor prediction based on deep learning with attention mechanism.

Meiqin Gong, Yuchen He, Maocheng Wang, Yongqing Zhang, Chunli Ding

Comput. Biol. Chem., October, 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

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

Manqing Wang, Liangyu Zhang, Haixiang Yu, Siyu Chen, Xiaomeng Zhang, Yongqing Zhang, Dongrui Gao

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.

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

Digital Image Correlation with a Prism Camera and Its Application in Complex Deformation Measurement.

Hao Hu, Boxing Qian, Yongqing Zhang, Wenpan Li

Sensors, 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

DeepChrom: A Diffusion-Based Framework for Long-Tailed Chromatin State Prediction.

Yuhang Liu, Zixuan Wang, Jiaheng Lv, Yongqing Zhang

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Infinity-Norm Weighted Low-Order Sparse Iterative DOA Estimation Under Impulsive Noise.

Yongqing Zhang, Zhiqiang Liu, Weidong Wang, Hui Li, Wentao Shi

Proceedings of the IEEE International Conference on Signal Processing, 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

A Two-Step Calibration Method for Vision Measurement With Large Field of View.

Hao Hu, Bin Wei, Shuang Mei, Jin Liang, Yongqing Zhang

IEEE Trans. Instrum. Meas., 2022

Fusion prior gene network for high reliable single-cell gene regulatory network inference.

Yongqing Zhang, Yuchen He, Qingyuan Chen, Yihan Yang, Meiqin Gong

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

Yongqing Zhang, Meng Lin, Yihan Yang, 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

Self-representation and Class-Specificity Distribution Based Multi-View Clustering.

Yu Yun, Wei Xia, Yongqing Zhang, Quanxue Gao, Xinbo Gao

Neurocomputing, 2021

Single-cell RNA Sequencing Reveals Thoracolumbar Vertebra Heterogeneity and Rib-genesis in Pigs.

Jianbo Li, Ligang Wang, Dawei Yu, Junfeng Hao, Longchao Zhang, Adeniyi C. Adeola, Bingyu Mao, Yun Gao, Shifang Wu, Chunling Zhu, Yongqing Zhang, Jilong Ren, Changgai Mu, David M. Irwin, Lixian Wang, Tang Hai, Haibing Xie, Yaping Zhang

Genom. Proteom. Bioinform., 2021

CAE-CNN: Predicting transcription factor binding site with convolutional autoencoder and convolutional neural network.

Yongqing Zhang, Shaojie Qiao, Yuanqi Zeng, Dongrui Gao, Nan Han, Jiliu Zhou

Expert Syst. Appl., 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

Regional-scale vegetation-climate interactions on the Qinghai-Tibet Plateau.

Chan Diao, Yu Liu, Liang Zhao, Ga Zhuo, Yongqing Zhang

Ecol. Informatics, 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

BindTransNet: A Transferable Transformer-Based Architecture for Cross-Cell Type DNA-Protein Binding Sites Prediction.

Zixuan Wang, Xiaoyao Tan, Beichen Li, Yuhang Liu, Qi Shao, Zijing Li, Yihan Yang, Yongqing Zhang

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.

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

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

2020

DeepSite: bidirectional LSTM and CNN models for predicting DNA-protein binding.

Yongqing Zhang, Shaojie Qiao, Shengjie Ji, Yizhou Li

Int. J. Mach. Learn. Cybern., 2020

A point-of-interest suggestion algorithm in Multi-source geo-social networks.

Xi Xiong, Shaojie Qiao, Yuanyuan Li, Nan Han, Guan Yuan, Yongqing Zhang

Eng. Appl. Artif. Intell., 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

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

Dingxiang Liu, Shaojie Qiao, Nan Han, Tao Wu, Rui Mao, Yongqing Zhang, Changan Yuan, Yueqiang Xiao

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

2019

Identification of DNA-protein binding sites by bootstrap multiple convolutional neural networks on sequence information.

Yongqing Zhang, Shaojie Qiao, Shengjie Ji, Nan Han, Dingxiang Liu, Jiliu Zhou

Eng. Appl. Artif. Intell., 2019

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

Yongqing Zhang, Shaojie Qiao, Rongzhao Lu, Nan Han, Dingxiang Liu, Jiliu Zhou

BMC Bioinform., 2019

2018

Concept Factorization by Joint Locality-constrained and ℓ 2, 1-norm Regularization for Image Representation.

Wei Jiang, Jie Zhang, Yongqing Zhang

J. Multiple Valued Log. Soft Comput., 2018

ICANet: a simple cascade linear convolution network for face recognition.

Yongqing Zhang, Tianyu Geng, Xi Wu, Jiliu Zhou, Dongrui Gao

EURASIP J. Image Video Process., 2018

Design and Experiments of a Redundantly Actuated Cable-Driven Parallel Robot.

Han Yuan, Yongqing Zhang, Wenfu Xu

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.

Yongqing Zhang, Shaojie Qiao, Shengjie Ji, Jiliu Zhou

Proceedings of the Intelligent Computing Theories and Application, 2018

2017

ERMPD: An efficient and robustness membrane potential driven supervised learning in spiking neural networks.

Yongqing Zhang, Yi Chen, Malu Zhang, Xi Wu, Jiliu Zhou, Hong Qu

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

2016

GeNemo: a search engine for web-based functional genomic data.

Yongqing Zhang, Xiaoyi Cao, Sheng Zhong

Nucleic Acids Res., 2016

2013

Mining effective multi-segment sliding window for pathogen incidence rate prediction.

Lei Duan, Changjie Tang, Xiaosong Li, Guozhu Dong, Xianming Wang, Jie Zuo, Min Jiang, Zhongqi Li, Yongqing Zhang

Data Knowl. Eng., 2013

Using gene expression programming to infer gene regulatory networks from time-series data.

Yongqing Zhang, Yi-Fei Pu, Haisen Zhang, Yabo Su, Lifang Zhang, Jiliu Zhou

Comput. Biol. Chem., 2013

2012

Prediction of flavin mono-nucleotide binding sites using modified PSSM profile and ensemble support vector machine.

Xia Wang, Gang Mi, Cuicui Wang, Yongqing Zhang, Juan Li, Yanzhi Guo, Xuemei Pu, Menglong Li

Comput. Biol. Medicine, 2012

Using ensemble methods to deal with imbalanced data in predicting protein-protein interactions.

Yongqing Zhang, Danling Zhang, Gang Mi, Daichuan Ma, Gongbing Li, Yanzhi Guo, Menglong Li, Min Zhu

Comput. Biol. Chem., 2012

Marketing Positioning System Designing Based on Extenics.

Limei Zhou, Yongqing Zhang, Hao Lan Zhang

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.

Maureen Stone, Moise H. Goldstein Jr., Yongqing Zhang

Speech Commun., 1997

1994

A reduced parameter bilinear time series model.

Yongqing Zhang, Martin T. Hagan

IEEE Trans. Signal Process., 1994