Yongqing Zhang

发表

Identification of Feature Genes of a Novel Neural Network Model for Bladder Cancer

Lei Wu, S. Dong, Zhiwen Xie, 2022, Frontiers in Genetics.

Efficient and Robust Supervised Learning Algorithm for Spiking Neural Networks

Jiliu Zhou, Malu Zhang, Hong Qu, 2018, Sensing and Imaging.

Application of Machine Learning on Drug Target Discovery.

Dongrui Gao, Qingyuan Chen, Yuanqi Zeng, 2020, Current drug metabolism.

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

Shaojie Qiao, Yizhou Li, Yongqing Zhang, 2019, International Journal of Machine Learning and Cybernetics.

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

Jiliu Zhou, Q. Zou, Yongqing Zhang, 2021, Briefings Bioinform..

Gene regulatory networks analysis of muscle-invasive bladder cancer subtypes using differential graphical model

Yongqing Zhang, Meiqin Gong, Qingyuan Chen, 2021, BMC Genomics.

Gene Regulatory Networks Analysis for Subtypes of Muscle-Invasive Bladder Cancer Based on Pathway

YONGQING ZHANG, DONGRUI GAO, YUANQI ZENG, 2019, 2019 16th International Computer Conference on Wavelet Active Media Technology and Information Processing.

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

Dongrui Gao, Yuanqi Zeng, Yongqing Zhang, 2020, IEEE Access.

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

Q. Zou, Yun Yu, Maocheng Wang, 2022, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Densely Convolutional Neural Network for Transcription Factor Binding Sites Prediction Using DNA Sequence and Histone Modification

Beichen Li, Yongqing Zhang, Zixuan Wang, 2022, 2022 5th International Conference on Artificial Intelligence and Big Data (ICAIBD).

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

Yuchen He, Yihan Yang, Yongqing Zhang, 2022, Comput. Biol. Medicine.

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

Yongqing Zhang, Shaojie Qiao, Shengjie Ji, 2019, International Journal of Machine Learning and Cybernetics.

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

Shaojie Qiao, Jiliu Zhou, Dingxiang Liu, 2019, Eng. Appl. Artif. Intell..

ENSEMBLE-CNN: Predicting DNA Binding Sites in Protein Sequences by an Ensemble Deep Learning Method

Shaojie Qiao, Jiliu Zhou, Yongqing Zhang, 2018, ICIC.

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

Sheng Zhong, Yongqing Zhang, Xiaoyi Cao, 2016, Nucleic Acids Res..

Efficient and Robust Supervised Learning Algorithm for Spiking Neural Networks

Malu Zhang, Hong Qu, Xi Wu, 2018 .

Review of the Applications of Deep Learning in Bioinformatics

Min Zhu, Siyu Chen, Dongrui Gao, 2020 .

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

Malu Zhang, Hong Qu, Yi Chen, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

Combining generative adversarial networks and multi-output CNN for motor imagery classification

Tiejun Liu, Yongqing Zhang, Jiaxin Xie, 2021, Journal of neural engineering.

Generative Adversarial Networks in Medical Image Processing.

Siyu Chen, Qingyuan Chen, Yuanqi Zeng, 2020, Current pharmaceutical design.

Evolutionary-Based Ensemble Under-Sampling for Imbalanced Data

YONGQING ZHANG, RONGZHAO LU, JI HUANG, 2019, 2019 16th International Computer Conference on Wavelet Active Media Technology and Information Processing.

ICANet: a simple cascade linear convolution network for face recognition

Jiliu Zhou, Xi Wu, Yongqing Zhang, 2018, EURASIP Journal on Image and Video Processing.

A novel network model based ICA filter for face recognition

Ying Cai, Yongqing Zhang, Tianyu Geng, 2017, 2017 14th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP).

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

Jiliu Zhou, Lixiao Feng, Wenpeng Cao, 2022, Expert Syst. Appl..

EEG driving fatigue detection based on log-Mel spectrogram and convolutional recurrent neural networks

Yongqing Zhang, Dongrui Gao, X. Tang, 2023, Frontiers in Neuroscience.

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

Jiliu Zhou, Yongqing Zhang, Ting Wang, 2021, Expert Syst. Appl..

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

Shaojie Qiao, Tao Wu, Nan Han, 2020, IEEE Access.

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

Shaojie Qiao, Yuanyuan Li, Xi Xiong, 2020, Eng. Appl. Artif. Intell..

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, Dongrui Gao, 2023, Comput. Biol. Chem..

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

L. Zhang, Yongqing Zhang, Dongrui Gao, 2023, Comput. Biol. Medicine.

CSF-GTNet: A Novel Multi-Dimensional Feature Fusion Network Based on Convnext-GeLU- BiLSTM for EEG-Signals-Enabled Fatigue Driving Detection

Jiliu Zhou, Yongqing Zhang, Yujie Liang, 2023, IEEE Journal of Biomedical and Health Informatics.

Cervical Cancer Single Cell Image Data Augmentation Using Residual Condition Generative Adversarial Networks

Siyu Chen, Dongrui Gao, Yongqing Zhang, 2020, 2020 3rd International Conference on Artificial Intelligence and Big Data (ICAIBD).

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

Jiliu Zhou, Q. Zou, Maocheng Wang, 2021, Briefings Bioinform..

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

Jiliu Zhou, Yongqing Zhang, Zixuan Wang, 2023, Bioinform..

A Transcription Factor Binding Site Prediction Algorithm Based on Semi-Supervised Learning

YONGQING ZHANG, DONGRUI GAO, YUANQI ZENG, 2019, 2019 16th International Computer Conference on Wavelet Active Media Technology and Information Processing.

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

Yongqing Zhang, Dongrui Gao, Liqi Lin, 2023, Appl. Soft Comput..

How to balance the bioinformatics data: pseudo-negative sampling

Shaojie Qiao, Nan Han, Yongqing Zhang, 2019, BMC Bioinformatics.

Using the improved position specific scoring matrix and ensemble learning method to predict drug-binding residues from protein sequences

Xuemei Pu, Yanzhi Guo, Juan Li, 2012 .

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

Shaojie Qiao, Jiliu Zhou, Yuanqi Zeng, 2021, Expert Syst. Appl..