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Yongqing Zhang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. 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.
Person information
Other persons with the same name
- Yongqing Zhang 0001
— Chengdu University of Information Technology, Chengdu, China - Yongqing Zhang 0002
— Beijing Foreign Studies University, Beijing, China - Yongqing Zhang 0003
— Northwestern Polytechnical University, Xi'an, China - Yongqing Zhang 0004
— Institute of Genetics and Developmental Biology Chinese Academy of Sciences, Beijing, China
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2020 – today
- 2025
[j27]Weidong Wang, Yongqing Zhang, Zhiqiang Liu, Kai Zhang, Hui Li, Wasiq Ali, Wentao Shi:
Improved DOA Estimation Method Based on Globally Bounded Nonlinear Covariance via Acoustic Vector Sensor Array Under Impulsive Noise. Circuits Syst. Signal Process. 44(11): 8835-8852 (2025)
[c13]Sihan He, Yongqing Zhang, Zhengxiao Huang, Zixuan Wang, Yuhang Liu, Tianhao Li
:
Distribution and Knowledge Alignment-based Single-cell Multi-omics Cell Type Annotation. IJCNN 2025: 1-8
[c12]Hong Luo, Yongqing Zhang:
GGANet: A Geometry-Enhanced Gated Attention Network for Drug-Target Interaction Prediction. IJCNN 2025: 1-8
[c11]Jiaheng Lv, Zixuan Wang, Zhigan Zhou, Yongqing Zhang:
Single Cell Mosaic Integration via Regulatory Graph Guided Variational Cross-modal Fusion. IJCNN 2025: 1-8
[c10]Yugui Xu, Hao Yuan, Xinyu Mao, Zhigan Zhou, Yuhang Liu, Shuwen Xiong, Zixuan Wang, Yongqing Zhang:
Enhancing Drug Synergy Prediction via flexible Fusion of Multimodal Heterogeneous Data. IJCNN 2025: 1-8
[c9]Junming Zhang, Yongqing Zhang:
Cancer Drug Response Prediction Based on Graph Neural Networks and Cross-Attention. IJCNN 2025: 1-8- 2024
[j26]Jing Jin
, Yongqing Zhang:
Innovation in Financial Enterprise Risk Prediction Model: A Hybrid Deep Learning Technique Based on CNN-Transformer-WT. J. Organ. End User Comput. 36(1): 1-26 (2024)
[j25]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)
[c8]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- 2023
[j24]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)
[j23]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)
[j22]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)
[j21]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)
[c7]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
[c6]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
[j20]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)
[j19]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)- 2021
[j18]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)
[j17]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)
[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)
[c5]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]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)
[j13]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)
2010 – 2019
- 2019
[j12]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)
[j11]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
[j10]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)
[j9]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
[j8]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)- 2014
[j7]Wei Jiang, Cong Wang, Yongqing Zhang:
Multiple graph regularization constrained nonnegative matrix factorization. Comput. Syst. Sci. Eng. 29(4) (2014)- 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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