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ORCIDYongqing Zhang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2025
[j47]Yongqing Zhang, Hao Yuan, Yuhang Liu, Shuwen Xiong, Zhigan Zhou, Yugui Xu, Xinyu Mao, Meiqin Gong:
MMGCSyn: Explainable synergistic drug combination prediction based on multimodal fusion. Future Gener. Comput. Syst. 168: 107784 (2025)- [j46]Dongrui Gao
, Shihong Liu, Yingxian Gao, Pengrui Li, Haokai Zhang, Manqing Wang, Yan Shen, Lutao Wang, Yongqing Zhang:
A Comprehensive Adaptive Interpretable Takagi-Sugeno-Kang Fuzzy Classifier for Fatigue Driving Detection. IEEE Trans. Fuzzy Syst. 33(1): 108-119 (2025) - [j45]Zhen Jia, Helei Dong, Yong Ruan, Yu Wang, Yongqing Zhang, Jie Ma, Yuxin Miao, Qiulin Tan:
Dynamic Response Testing Based on Pulsed Laser and WOA-BP Neural Network. IEEE Trans. Instrum. Meas. 74: 1-12 (2025) - 2024
- [j44]Dongrui Gao, Wen Yang, Pengrui Li, Shihong Liu, Tiejun Liu, Manqing Wang, Yongqing Zhang:
A multiscale feature fusion network based on attention mechanism for motor imagery EEG decoding. Appl. Soft Comput. 151: 111129 (2024) - [j43]Meiqin Gong, Yun Yu, Zixuan Wang, Junming Zhang, Xiongyi Wang, Cheng Fu, Yongqing Zhang, Xiaodong Wang:
scAuto as a comprehensive framework for single-cell chromatin accessibility data analysis. Comput. Biol. Medicine 171: 108230 (2024) - [j42]Liqi Lin, Pengrui Li, Qinghua Wang, Binnan Bai, Ruifang Cui, Zhenxia Yu, Dongrui Gao, Yongqing Zhang:
An EEG-based cross-subject interpretable CNN for game player expertise level classification. Expert Syst. Appl. 237(Part C): 121658 (2024) - [j41]Lingxiang Liao, Jingqing Lu, Lutao Wang, Yongqing Zhang, Dongrui Gao, Manqing Wang:
CT-Net: an interpretable CNN-Transformer fusion network for fNIRS classification. Medical Biol. Eng. Comput. 62(10): 3233-3247 (2024) - [j40]Dongrui Gao, Pengrui Li, Manqing Wang, Yujie Liang, Shihong Liu, Jiliu Zhou, Lutao Wang, Yongqing Zhang:
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 28(5): 2558-2568 (2024) - [j39]Dongrui Gao, Kejie Wang, Manqing Wang, Jiliu Zhou, Yongqing Zhang:
SFT-Net: A Network for Detecting Fatigue From EEG Signals by Combining 4D Feature Flow and Attention Mechanism. IEEE J. Biomed. Health Informatics 28(8): 4444-4455 (2024) - [c16]Dongrui Gao, Haokai Zhang, Pengrui Li, Tian Tang, Shihong Liu, Zhihong Zhou, Shaofei Ying, Ye Zhu, Yongqing Zhang:
A Local-Ascending-Global Learning Strategy for Brain-Computer Interface. AAAI 2024: 10039-10047 - [c15]Tianhao Li, Yugui Xu, Sihan He, Yuhang Liu, Zixuan Wang, Zhigan Zhou, Yongqing Zhang, Quan Zou:
Cell-Specific Highly Correlated Network for Self-Supervised Distillation in Cell Type Annotation. BIBM 2024: 988-993 - 2023
- [j38]Pengrui Li, Yongqing Zhang, Shihong Liu, Liqi Lin, Haokai Zhang, Tian Tang, Dongrui Gao:
An EEG-based Brain Cognitive Dynamic Recognition Network for representations of brain fatigue. Appl. Soft Comput. 146: 110613 (2023) - [j37]Yuhang Liu, Zixuan Wang, Hao Yuan, Guiquan Zhu, Yongqing Zhang:
HEAP: a task adaptive-based explainable deep learning framework for enhancer activity prediction. Briefings Bioinform. 24(5) (2023) - [j36]Zixuan Wang, Shuwen Xiong, Yun Yu, Jiliu Zhou, Yongqing Zhang:
HAMPLE: deciphering TF-DNA binding mechanism in different cellular environments by characterizing higher-order nucleotide dependency. Bioinform. 39(5) (2023) - [j35]Yuhang Liu, Hao Yuan, Qiang Zhang, Zixuan Wang, Shuwen Xiong, Naifeng Wen, Yongqing Zhang:
Multiple sequence alignment based on deep reinforcement learning with self-attention and positional encoding. Bioinform. 39(10) (2023) - [j34]Bo Peng, Yongqing Zhang, Manqing Wang, Jun Chen, Dongrui Gao:
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. 104: 107863 (2023) - [j33]Meiqin Gong, Yuchen He, Maocheng Wang, Yongqing Zhang, Chunli Ding:
Interpretable single-cell transcription factor prediction based on deep learning with attention mechanism. Comput. Biol. Chem. 106: 107923 (2023) - [j32]Manqing Wang, Liangyu Zhang, Haixiang Yu, Siyu Chen, Xiaomeng Zhang, Yongqing Zhang, Dongrui Gao:
A deep learning network based on CNN and sliding window LSTM for spike sorting. Comput. Biol. Medicine 159: 106879 (2023) - [j31]Zhu Ye, Yuan Jing, Qinghua Wang, Pengrui Li, Zhihong Liu, Mingjing Yan, Yongqing Zhang, Dongrui Gao:
Emotion recognition based on convolutional gated recurrent units with attention. Connect. Sci. 35(1) (2023) - [j30]Yongqing Zhang, Wenpeng Cao, Lixiao Feng, Manqing Wang, Tianyu Geng, Jiliu Zhou, Dongrui Gao:
SHNN: A single-channel EEG sleep staging model based on semi-supervised learning. Expert Syst. Appl. 213(Part): 119288 (2023) - [j29]Hao Hu, Boxing Qian, Yongqing Zhang, Wenpan Li:
Digital Image Correlation with a Prism Camera and Its Application in Complex Deformation Measurement. Sensors 23(12): 5531 (2023) - [c14]Yuhang Liu, Tianhao Li, Zixuan Wang, Guiquan Zhu, Yongqing Zhang, Quan Zou:
Exploring Parameter-Efficient Fine-Tuning of a Large-Scale Pre-Trained Model for scRNA-seq Cell Type Annotation. BIBM 2023: 580-585 - [c13]Shuwen Xiong, Zixuan Wang, Junming Zhang, Guiquan Zhu, Yongqing Zhang, Quan Zou:
HGTDG: An Interpretable Heterogeneous Graph Transformer Framework for Cancer Driver Gene Prediction. BIBM 2023: 698-703 - [c12]Shuwen Xiong, Zixuan Wang, Junming Zhang, Hong Luo, Yongqing Zhang, Quan Zou:
KDProg: A Knowledge distillation graph neural network for cancer prognosis prediction and analysis. BIBM 2023: 1582-1587 - [c11]Yongqing Zhang, Zhiqiang Liu, Weidong Wang, Hui Li, Wentao Shi:
Infinity-Norm Weighted Low-Order Sparse Iterative DOA Estimation Under Impulsive Noise. ICSPCC 2023: 1-6 - [c10]Yuhang Liu, Zixuan Wang, Jiaheng Lv, Yongqing Zhang:
DeepChrom: A Diffusion-Based Framework for Long-Tailed Chromatin State Prediction. PRCV (3) 2023: 188-199 - 2022
- [j28]Yongqing Zhang, Zixuan Wang, Yuanqi Zeng, Yuhang Liu, Shuwen Xiong, Maocheng Wang, Jiliu Zhou, Quan Zou:
A novel convolution attention model for predicting transcription factor binding sites by combination of sequence and shape. Briefings Bioinform. 23(1) (2022) - [j27]Yongqing Zhang, Qiang Zhang, Jiliu Zhou, Quan Zou:
A survey on the algorithm and development of multiple sequence alignment. Briefings Bioinform. 23(3) (2022) - [j26]Yongqing Zhang, Meng Lin, Yihan Yang, Chunli Ding:
A hybrid ensemble and evolutionary algorithm for imbalanced classification and its application on bioinformatics. Comput. Biol. Chem. 98: 107646 (2022) - [j25]Yongqing Zhang, Qiang Zhang, Yuhang Liu, Meng Lin, Chunli Ding:
Multiple Sequence Alignment based on deep Q network with negative feedback policy. Comput. Biol. Chem. 101: 107780 (2022) - [j24]Yongqing Zhang, Yuchen He, Qingyuan Chen, Yihan Yang, Meiqin Gong:
Fusion prior gene network for high reliable single-cell gene regulatory network inference. Comput. Biol. Medicine 143: 105279 (2022) - [j23]Zixuan Wang, Meiqin Gong, Yuhang Liu, Shuwen Xiong, Maocheng Wang, Jiliu Zhou, Yongqing Zhang:
Towards a better understanding of TF-DNA binding prediction from genomic features. Comput. Biol. Medicine 149: 105993 (2022) - [j22]Hao Hu, Bin Wei, Shuang Mei, Jin Liang, Yongqing Zhang:
A Two-Step Calibration Method for Vision Measurement With Large Field of View. IEEE Trans. Instrum. Meas. 71: 1-10 (2022) - [c9]Zixuan Wang, Yongqing Zhang, Yun Yu, Maocheng Wang, Yuhang Liu, Quan Zou:
Single-cell TF-DNA binding prediction and analysis based on transfer learning framework. BIBM 2022: 589-594 - [c8]Yongqing Zhang, Yuhang Liu, Zixuan Wang, Maocheng Wang, Shuwen Xiong, Quan Zou:
Predicting cell type-specific effects of variants on TF-DNA binding by meta-learning. BIBM 2022: 680-685 - 2021
- [j21]Yongqing Zhang, Zixuan Wang, Yuanqi Zeng, Jiliu Zhou, Quan Zou:
High-resolution transcription factor binding sites prediction improved performance and interpretability by deep learning method. Briefings Bioinform. 22(6) (2021) - [j20]Chan Diao, Yu Liu, Liang Zhao, Ga Zhuo, Yongqing Zhang:
Regional-scale vegetation-climate interactions on the Qinghai-Tibet Plateau. Ecol. Informatics 65: 101413 (2021) - [j19]Yongqing Zhang, Shaojie Qiao, Yuanqi Zeng, Dongrui Gao, Nan Han, Jiliu Zhou:
CAE-CNN: Predicting transcription factor binding site with convolutional autoencoder and convolutional neural network. Expert Syst. Appl. 183: 115404 (2021) - [j18]Yongqing Zhang, Siyu Chen, Wenpeng Cao, Peng Guo, Dongrui Gao, Manqing Wang, Jiliu Zhou, Ting Wang:
MFFNet: Multi-dimensional Feature Fusion Network based on attention mechanism for sEMG analysis to detect muscle fatigue. Expert Syst. Appl. 185: 115639 (2021) - [j17]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:
Single-cell RNA Sequencing Reveals Thoracolumbar Vertebra Heterogeneity and Rib-genesis in Pigs. Genom. Proteom. Bioinform. 19(3): 423-436 (2021) - [j16]Yu Yun, Wei Xia, Yongqing Zhang, Quanxue Gao, Xinbo Gao:
Self-representation and Class-Specificity Distribution Based Multi-View Clustering. Neurocomputing 437: 9-20 (2021) - [c7]Yongqing Zhang, Zixuan Wang, Yuhang Liu, Libo Lu, Xiaoyao Tan, Quan Zou:
By hybrid neural networks for prediction and interpretation of transcription factor binding sites based on multi-omics. BIBM 2021: 594-599 - [c6]Zixuan Wang, Xiaoyao Tan, Beichen Li, Yuhang Liu, Qi Shao, Zijing Li, Yihan Yang, Yongqing Zhang:
BindTransNet: A Transferable Transformer-Based Architecture for Cross-Cell Type DNA-Protein Binding Sites Prediction. ISBRA 2021: 203-214 - 2020
- [j15]Dingxiang Liu, Shaojie Qiao, Nan Han, Tao Wu, Rui Mao, Yongqing Zhang, Changan Yuan, Yueqiang Xiao:
SOTB: Semi-Supervised Oversampling Approach Based on Trigonal Barycenter Theory. IEEE Access 8: 50180-50189 (2020) - [j14]Yuanqi Zeng, Meiqin Gong, Meng Lin, Dongrui Gao, Yongqing Zhang:
A Review About Transcription Factor Binding Sites Prediction Based on Deep Learning. IEEE Access 8: 219256-219274 (2020) - [j13]Xi Xiong, Shaojie Qiao, Yuanyuan Li, Nan Han, Guan Yuan, Yongqing Zhang:
A point-of-interest suggestion algorithm in Multi-source geo-social networks. Eng. Appl. Artif. Intell. 88 (2020) - [j12]Yongqing Zhang, Shaojie Qiao, Shengjie Ji, Yizhou Li:
DeepSite: bidirectional LSTM and CNN models for predicting DNA-protein binding. Int. J. Mach. Learn. Cybern. 11(4): 841-851 (2020) - [c5]Yongqing Zhang, Qingyuan Chen, Dongrui Gao, Quan Zou:
GRRFNet: Guided Regularized Random Forest-based Gene Regulatory Network Inference Using Data Integration. BIBM 2020: 132-139
2010 – 2019
- 2019
- [j11]Yongqing Zhang, Shaojie Qiao, Rongzhao Lu, Nan Han, Dingxiang Liu, Jiliu Zhou:
How to balance the bioinformatics data: pseudo-negative sampling. BMC Bioinform. 20-S(25): 695 (2019) - [j10]Yongqing Zhang, Shaojie Qiao, Shengjie Ji, Nan Han, Dingxiang Liu, Jiliu Zhou:
Identification of DNA-protein binding sites by bootstrap multiple convolutional neural networks on sequence information. Eng. Appl. Artif. Intell. 79: 58-66 (2019) - 2018
- [j9]Yongqing Zhang, Tianyu Geng, Xi Wu, Jiliu Zhou, Dongrui Gao:
ICANet: a simple cascade linear convolution network for face recognition. EURASIP J. Image Video Process. 2018: 51 (2018) - [j8]Wei Jiang, Jie Zhang, Yongqing Zhang:
Concept Factorization by Joint Locality-constrained and ℓ 2, 1-norm Regularization for Image Representation. J. Multiple Valued Log. Soft Comput. 31(1-2): 85-103 (2018) - [c4]Yongqing Zhang, Shaojie Qiao, Shengjie Ji, Jiliu Zhou:
ENSEMBLE-CNN: Predicting DNA Binding Sites in Protein Sequences by an Ensemble Deep Learning Method. ICIC (2) 2018: 301-306 - [c3]Han Yuan, Yongqing Zhang, Wenfu Xu:
Design and Experiments of a Redundantly Actuated Cable-Driven Parallel Robot. ROBIO 2018: 928-933 - 2017
- [c2]Yongqing Zhang, Yi Chen, Malu Zhang, Xi Wu, Jiliu Zhou, Hong Qu:
ERMPD: An efficient and robustness membrane potential driven supervised learning in spiking neural networks. SSCI 2017: 1-6 - 2016
- [j7]Yongqing Zhang, Xiaoyi Cao, Sheng Zhong:
GeNemo: a search engine for web-based functional genomic data. Nucleic Acids Res. 44(Webserver-Issue): W122-W127 (2016) - 2013
- [j6]Yongqing Zhang, Yi-Fei Pu, Haisen Zhang, Yabo Su, Lifang Zhang, Jiliu Zhou:
Using gene expression programming to infer gene regulatory networks from time-series data. Comput. Biol. Chem. 47: 198-206 (2013) - [j5]Lei Duan, Changjie Tang, Xiaosong Li, Guozhu Dong, Xianming Wang, Jie Zuo, Min Jiang, Zhongqi Li, Yongqing Zhang:
Mining effective multi-segment sliding window for pathogen incidence rate prediction. Data Knowl. Eng. 87: 425-444 (2013) - 2012
- [j4]Yongqing Zhang, Danling Zhang, Gang Mi, Daichuan Ma, Gongbing Li, Yanzhi Guo, Menglong Li, Min Zhu:
Using ensemble methods to deal with imbalanced data in predicting protein-protein interactions. Comput. Biol. Chem. 36: 36-41 (2012) - [j3]Xia Wang, Gang Mi, Cuicui Wang, Yongqing Zhang, Juan Li, Yanzhi Guo, Xuemei Pu, Menglong Li:
Prediction of flavin mono-nucleotide binding sites using modified PSSM profile and ensemble support vector machine. Comput. Biol. Medicine 42(11): 1053-1059 (2012) - [c1]Limei Zhou, Yongqing Zhang, Hao Lan Zhang:
Marketing Positioning System Designing Based on Extenics. Web Intelligence/IAT Workshops 2012: 257-260
1990 – 1999
- 1997
- [j2]Maureen Stone, Moise H. Goldstein Jr., Yongqing Zhang:
Principal component analysis of cross sections of tongue shapes in vowel production. Speech Commun. 22(2-3): 173-184 (1997) - 1994
- [j1]Yongqing Zhang, Martin T. Hagan:
A reduced parameter bilinear time series model. IEEE Trans. Signal Process. 42(7): 1867-1870 (1994)
Coauthor Index
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