Yongqing Zhang

37 papers B 1Journal 28Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Contrastive learning in both structure and function spaces improve drug-target interaction prediction.
BMC Bioinform.
Yongqing Zhang, Le Chen, Hong Luo, Tianhao Li, Shuwen Xiong, Zixuan Wang, Quan Zou, Wenqian Zhang
2026 J jnl
Distribution and expression aware retrospective learning for single-cell long-tailed class-incremental annotation.
Appl. Soft Comput.
Tianhao Li, Zixuan Wang, Chenpeng Wu, Zhengxiao Huang, Yixin Xiang, Yuhang Liu, Quan Zou, Naifeng Wen, Yongqing Zhang
2026 J jnl
Explainable multiscale representation learning for anticancer peptide prediction.
Eng. Appl. Artif. Intell.
Yongqing Zhang, Xinyu Mao, Yuhang Liu, Wang Li, Zhigan Zhou, Yugui Xu, Jin Wu, Quan Zou, Lei Xu
2026 J jnl
LEAP: Long sequence enhancer activity analysis and prediction framework.
Comput. Biol. Chem.
Jia He, Hongjiang Lu, Tianhao Li, Yuhang Liu, Yongqing Zhang, Shuang Zou
2026 J jnl
Prediction of cancer drug response based on heterogeneous graph neural networks and multi-omics data.
Neural Networks
Junming Zhang, Shuwen Xiong, Yugui Xu, Yongqing Zhang
2025 J jnl
A Comprehensive Adaptive Interpretable Takagi-Sugeno-Kang Fuzzy Classifier for Fatigue Driving Detection.
IEEE Trans. Fuzzy Syst.
Dongrui Gao, Shihong Liu, Yingxian Gao, Pengrui Li, Haokai Zhang, Manqing Wang, Yan Shen, Lutao Wang, Yongqing Zhang
2025 J jnl
A Multi-Omics Data Integration Framework for Gene Regulatory Network Inference Based on Contrastive Learning.
IEEE Trans. Comput. Biol. Bioinform.
Yongqing Zhang, Zhigan Zhou, Maocheng Wang, Xinyu Mao, Zixuan Wang, Quan Zou
2025 J jnl
An overview of computational methods in single-cell transcriptomic cell type annotation.
Briefings Bioinform.
Tianhao Li, Zixuan Wang, Yuhang Liu, Sihan He, Quan Zou, Yongqing Zhang
2025 B conf
Distribution and Knowledge Alignment-based Single-cell Multi-omics Cell Type Annotation.
IJCNN
Sihan He, Yongqing Zhang, Zhengxiao Huang, Zixuan Wang, Yuhang Liu, Tianhao Li
2025 J jnl
MMGCSyn: Explainable synergistic drug combination prediction based on multimodal fusion.
Future Gener. Comput. Syst.
Yongqing Zhang, Hao Yuan, Yuhang Liu, Shuwen Xiong, Zhigan Zhou, Yugui Xu, Xinyu Mao, Meiqin Gong
2025 J jnl
Supervised pre-training for feature extraction in cell type annotation of single-cell multi-omics data.
Appl. Soft Comput.
Yongqing Zhang, Tianhao Li, Yuhang Liu, Hong Luo, Yugui Xu, Zixuan Wang, Quan Zou
2024 J jnl
A multiscale feature fusion network based on attention mechanism for motor imagery EEG decoding.
Appl. Soft Comput.
Dongrui Gao, Wen Yang, Pengrui Li, Shihong Liu, Tiejun Liu, Manqing Wang, Yongqing Zhang
2024 J jnl
An EEG-based cross-subject interpretable CNN for game player expertise level classification.
Expert Syst. Appl.
Liqi Lin, Pengrui Li, Qinghua Wang, Binnan Bai, Ruifang Cui, Zhenxia Yu, Dongrui Gao, Yongqing Zhang
2024 J jnl
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
Dongrui Gao, Pengrui Li, Manqing Wang, Yujie Liang, Shihong Liu, Jiliu Zhou, Lutao Wang, Yongqing Zhang
2024 — conf
Cell-Specific Highly Correlated Network for Self-Supervised Distillation in Cell Type Annotation.
BIBM
Tianhao Li, Yugui Xu, Sihan He, Yuhang Liu, Zixuan Wang, Zhigan Zhou, Yongqing Zhang, Quan Zou
2024 J jnl
SFT-Net: A Network for Detecting Fatigue From EEG Signals by Combining 4D Feature Flow and Attention Mechanism.
IEEE J. Biomed. Health Informatics
Dongrui Gao, Kejie Wang, Manqing Wang, Jiliu Zhou, Yongqing Zhang
2024 J jnl
scAuto as a comprehensive framework for single-cell chromatin accessibility data analysis.
Comput. Biol. Medicine
Meiqin Gong, Yun Yu, Zixuan Wang, Junming Zhang, Xiongyi Wang, Cheng Fu, Yongqing Zhang, Xiaodong Wang
2023 J jnl
An EEG-based Brain Cognitive Dynamic Recognition Network for representations of brain fatigue.
Appl. Soft Comput.
Pengrui Li, Yongqing Zhang, Shihong Liu, Liqi Lin, Haokai Zhang, Tian Tang, Dongrui Gao
2023 — conf
Exploring Parameter-Efficient Fine-Tuning of a Large-Scale Pre-Trained Model for scRNA-seq Cell Type Annotation.
BIBM
Yuhang Liu, Tianhao Li, Zixuan Wang, Guiquan Zhu, Yongqing Zhang, Quan Zou
2023 J jnl
HAMPLE: deciphering TF-DNA binding mechanism in different cellular environments by characterizing higher-order nucleotide dependency.
Bioinform.
Zixuan Wang, Shuwen Xiong, Yun Yu, Jiliu Zhou, Yongqing Zhang
2023 J jnl
HEAP: a task adaptive-based explainable deep learning framework for enhancer activity prediction.
Briefings Bioinform.
Yuhang Liu, Zixuan Wang, Hao Yuan, Guiquan Zhu, Yongqing Zhang
2023 — conf
HGTDG: An Interpretable Heterogeneous Graph Transformer Framework for Cancer Driver Gene Prediction.
BIBM
Shuwen Xiong, Zixuan Wang, Junming Zhang, Guiquan Zhu, Yongqing Zhang, Quan Zou
2023 — conf
KDProg: A Knowledge distillation graph neural network for cancer prognosis prediction and analysis.
BIBM
Shuwen Xiong, Zixuan Wang, Junming Zhang, Hong Luo, Yongqing Zhang, Quan Zou
2023 J jnl
Multiple sequence alignment based on deep reinforcement learning with self-attention and positional encoding.
Bioinform.
Yuhang Liu, Hao Yuan, Qiang Zhang, Zixuan Wang, Shuwen Xiong, Naifeng Wen, Yongqing Zhang
2023 J jnl
SHNN: A single-channel EEG sleep staging model based on semi-supervised learning.
Expert Syst. Appl.
Yongqing Zhang, Wenpeng Cao, Lixiao Feng, Manqing Wang, Tianyu Geng, Jiliu Zhou, Dongrui Gao
2023 J jnl
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.
Bo Peng, Yongqing Zhang, Manqing Wang, Jun Chen, Dongrui Gao
2022 J jnl
A novel convolution attention model for predicting transcription factor binding sites by combination of sequence and shape.
Briefings Bioinform.
Yongqing Zhang, Zixuan Wang, Yuanqi Zeng, Yuhang Liu, Shuwen Xiong, Maocheng Wang, Jiliu Zhou, Quan Zou
2022 J jnl
A survey on the algorithm and development of multiple sequence alignment.
Briefings Bioinform.
Yongqing Zhang, Qiang Zhang, Jiliu Zhou, Quan Zou
2022 J jnl
Multiple Sequence Alignment based on deep Q network with negative feedback policy.
Comput. Biol. Chem.
Yongqing Zhang, Qiang Zhang, Yuhang Liu, Meng Lin, Chunli Ding
2022 — conf
Predicting cell type-specific effects of variants on TF-DNA binding by meta-learning.
BIBM
Yongqing Zhang, Yuhang Liu, Zixuan Wang, Maocheng Wang, Shuwen Xiong, Quan Zou
2022 — conf
Single-cell TF-DNA binding prediction and analysis based on transfer learning framework.
BIBM
Zixuan Wang, Yongqing Zhang, Yun Yu, Maocheng Wang, Yuhang Liu, Quan Zou
2022 J jnl
Towards a better understanding of TF-DNA binding prediction from genomic features.
Comput. Biol. Medicine
Zixuan Wang, Meiqin Gong, Yuhang Liu, Shuwen Xiong, Maocheng Wang, Jiliu Zhou, Yongqing Zhang
2021 — conf
By hybrid neural networks for prediction and interpretation of transcription factor binding sites based on multi-omics.
BIBM
Yongqing Zhang, Zixuan Wang, Yuhang Liu, Libo Lu, Xiaoyao Tan, Quan Zou
2021 J jnl
High-resolution transcription factor binding sites prediction improved performance and interpretability by deep learning method.
Briefings Bioinform.
Yongqing Zhang, Zixuan Wang, Yuanqi Zeng, Jiliu Zhou, Quan Zou
2021 J jnl
MFFNet: Multi-dimensional Feature Fusion Network based on attention mechanism for sEMG analysis to detect muscle fatigue.
Expert Syst. Appl.
Yongqing Zhang, Siyu Chen, Wenpeng Cao, Peng Guo, Dongrui Gao, Manqing Wang, Jiliu Zhou, Ting Wang
2020 J jnl
A Review About Transcription Factor Binding Sites Prediction Based on Deep Learning.
IEEE Access
Yuanqi Zeng, Meiqin Gong, Meng Lin, Dongrui Gao, Yongqing Zhang
2020 — conf
GRRFNet: Guided Regularized Random Forest-based Gene Regulatory Network Inference Using Data Integration.
BIBM
Yongqing Zhang, Qingyuan Chen, Dongrui Gao, Quan Zou