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ORCIDYongqing Zhang 0001
Person information
- affiliation: Chengdu University of Information Technology, Chengdu, China
Other persons with the same name
- Yongqing Zhang — disambiguation page
- Yongqing Zhang 0002
![[0009-0002-8341-3056]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0009-0002-8341-3056")
— 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
- 2026
[j27]Tianhao Li, Zixuan Wang, Chenpeng Wu, Zhengxiao Huang, Yixin Xiang, Yuhang Liu, Quan Zou, Naifeng Wen, Yongqing Zhang:
Distribution and expression aware retrospective learning for single-cell long-tailed class-incremental annotation. Appl. Soft Comput. 193: 114745 (2026)- [j26]Jia He, Hongjiang Lu, Tianhao Li, Yuhang Liu, Yongqing Zhang, Shuang Zou:
LEAP: Long sequence enhancer activity analysis and prediction framework. Comput. Biol. Chem. 121: 108850 (2026) - [j25]Yongqing Zhang, Xinyu Mao, Yuhang Liu, Wang Li, Zhigan Zhou, Yugui Xu, Jin Wu, Quan Zou, Lei Xu:
Explainable multiscale representation learning for anticancer peptide prediction. Eng. Appl. Artif. Intell. 167: 113827 (2026) - [j24]Junming Zhang, Shuwen Xiong, Yugui Xu, Yongqing Zhang:
Prediction of cancer drug response based on heterogeneous graph neural networks and multi-omics data. Neural Networks 193: 108001 (2026) - 2025
- [j23]Yongqing Zhang, Tianhao Li, Yuhang Liu, Hong Luo, Yugui Xu, Zixuan Wang, Quan Zou:
Supervised pre-training for feature extraction in cell type annotation of single-cell multi-omics data. Appl. Soft Comput. 183: 113585 (2025) - [j22]Tianhao Li, Zixuan Wang, Yuhang Liu, Sihan He, Quan Zou, Yongqing Zhang:
An overview of computational methods in single-cell transcriptomic cell type annotation. Briefings Bioinform. 26(3) (2025) - [j21]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) - [j20]Yongqing Zhang, Zhigan Zhou, Maocheng Wang, Xinyu Mao, Zixuan Wang, Quan Zou:
A Multi-Omics Data Integration Framework for Gene Regulatory Network Inference Based on Contrastive Learning. IEEE Trans. Comput. Biol. Bioinform. 22(3): 1095-1106 (2025) - [j19]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) - [c9]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 - 2024
- [j18]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) - [j17]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) - [j16]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) - [j15]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) - [j14]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) - [c8]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
- [j13]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) - [j12]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) - [j11]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) - [j10]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) - [j9]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) - [j8]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) - [c7]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 - [c6]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 - [c5]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 - 2022
- [j7]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) - [j6]Yongqing Zhang, Qiang Zhang, Jiliu Zhou, Quan Zou:
A survey on the algorithm and development of multiple sequence alignment. Briefings Bioinform. 23(3) (2022) - [j5]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) - [j4]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) - [c4]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 - [c3]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
- [j3]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) - [j2]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) - [c2]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 - 2020
- [j1]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) - [c1]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
Coauthor Index
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