Qinhu Zhang

According to our database, Qinhu Zhang authored at least 37 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Hierarchical Multiview Top-k Pooling With Deep-Q-Networks.

Zhi-Peng Li, Hai-Long Su, Yong Wu, Qinhu Zhang, Chang-an Yuan, Valeriya V. Gribova, Vladimir Fedorovich Filaretov, De-Shuang Huang

IEEE Trans. Artif. Intell., June, 2024

scCorrector: a robust method for integrating multi-study single-cell data.

Zhen-Hao Guo, Yan-Bin Wang, Siguo Wang, Qinhu Zhang, De-Shuang Huang

Briefings Bioinform., January, 2024

iCRBP-LKHA: Large convolutional kernel and hybrid channel-spatial attention for identifying circRNA-RBP interaction sites.

Lin Yuan, Ling Zhao, Jinling Lai, Yufeng Jiang, Qinhu Zhang, Zhen Shen, Chun-Hou Zheng, De-Shuang Huang

PLoS Comput. Biol., 2024

Identification of ferroptosis-related lncRNAs for predicting prognosis and immunotherapy response in non-small cell lung cancer.

Lin Yuan, Shengguo Sun, Qinhu Zhang, Hai-Tao Li, Zhen Shen, Chunyu Hu, Xiaogang Zhao, Lan Ye, Chun-Hou Zheng, De-Shuang Huang

Future Gener. Comput. Syst., 2024

scMGATGRN: a multiview graph attention network-based method for inferring gene regulatory networks from single-cell transcriptomic data.

Lin Yuan, Ling Zhao, Yufeng Jiang, Zhen Shen, Qinhu Zhang, Ming Zhang, Chun-Hou Zheng, De-Shuang Huang

Briefings Bioinform., 2024

Dynamic Link Prediction for New Nodes in Temporal Graph Networks.

Xiaobo Zhu, Yan Wu, Qinhu Zhang, Zhanheng Chen, Ying He

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

scInterpreter: a knowledge-regularized generative model for interpretably integrating scRNA-seq data.

Zhen-Hao Guo, Yan Wu, Siguo Wang, Qinhu Zhang, Jin-Ming Shi, Yan-Bin Wang, Zhan-Heng Chen

BMC Bioinform., December, 2023

DeepTPpred: A Deep Learning Approach With Matrix Factorization for Predicting Therapeutic Peptides by Integrating Length Information.

Zhen Cui, Siguo Wang, Ying He, Zhan-Heng Chen, Qinhu Zhang

IEEE J. Biomed. Health Informatics, September, 2023

Computational prediction and characterization of cell-type-specific and shared binding sites.

Qinhu Zhang, Pengrui Teng, Siguo Wang, Ying He, Zhen Cui, Zhenghao Guo, Yixin Liu, Changan Yuan, Qi Liu, De-Shuang Huang

Bioinform., January, 2023

Using Fully Convolutional Network to Locate Transcription Factor Binding Sites Based on DNA Sequence and Conservation Information.

Qinhu Zhang, Youhong Xu, Siguo Wang, Yong Wu, Yuan-Nong Ye, Chang-An Yuan, Valeriya V. Gribova, Vladimir Fedorovich Filaretov, De-Shuang Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Predicting the Sequence Specificities of DNA-Binding Proteins by DNA Fine-Tuned Language Model With Decaying Learning Rates.

Ying He, Qinhu Zhang, Siguo Wang, Zhanheng Chen, Zhen Cui, Zhen-Hao Guo, De-Shuang Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

iCircDA-NEAE: Accelerated attribute network embedding and dynamic convolutional autoencoder for circRNA-disease associations prediction.

Lin Yuan, Jiawang Zhao, Zhen Shen, Qinhu Zhang, Yushui Geng, Chun-Hou Zheng, De-Shuang Huang

PLoS Comput. Biol., 2023

In silico prediction methods of self-interacting proteins: an empirical and academic survey.

Zhanheng Chen, Zhuhong You, Qinhu Zhang, Zhen-Hao Guo, Siguo Wang, Yanbin Wang

Frontiers Comput. Sci., 2023

Lightweight Traffic Sign Recognition Model Based on Dynamic Feature Extraction.

Yiyuan Ge, Ke Niu, Zhihao Chen, Qinhu Zhang

Proceedings of the Applied Intelligence - First International Conference, 2023

2022

DLoopCaller: A deep learning approach for predicting genome-wide chromatin loops by integrating accessible chromatin landscapes.

Siguo Wang, Qinhu Zhang, Ying He, Zhen Cui, Zhen-Hao Guo, Kyungsook Han, De-Shuang Huang

PLoS Comput. Biol., October, 2022

FCNGRU: Locating Transcription Factor Binding Sites by Combing Fully Convolutional Neural Network With Gated Recurrent Unit.

Siguo Wang, Ying He, Zhanheng Chen, Qinhu Zhang

IEEE J. Biomed. Health Informatics, 2022

Predicting In-Vitro DNA-Protein Binding With a Spatially Aligned Fusion of Sequence and Shape.

Qinhu Zhang, Yindong Zhang, Siguo Wang, Zhan-Heng Chen, Valeriya V. Gribova, Vladimir Fedorovich Filaretov, De-Shuang Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

A Deep Learning Model for RNA-Protein Binding Preference Prediction Based on Hierarchical LSTM and Attention Network.

Zhen Shen, Qinhu Zhang, Kyungsook Han, De-Shuang Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

RMSCNN: A Random Multi-Scale Convolutional Neural Network for Marine Microbial Bacteriocins Identification.

Zhen Cui, Zhan-Heng Chen, Qinhu Zhang, Valeriya V. Gribova, Vladimir Fedorovich Filaretov, De-Shuang Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Base-resolution prediction of transcription factor binding signals by a deep learning framework.

Qinhu Zhang, Ying He, Siguo Wang, Zhanheng Chen, Zhen-Hao Guo, Zhen Cui, Qi Liu, De-Shuang Huang

PLoS Comput. Biol., 2022

2021

Multi-Scale Capsule Network for Predicting DNA-Protein Binding Sites.

Qinhu Zhang, Wenbo Yu, Kyungsook Han, Asoke K. Nandi, De-Shuang Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Predicting TF-DNA Binding Motifs from ChIP-seq Datasets Using the Bag-Based Classifier Combined With a Multi-Fold Learning Scheme.

Qinhu Zhang, Dailun Wang, Kyungsook Han, De-Shuang Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Predicting in-vitro Transcription Factor Binding Sites Using DNA Sequence + Shape.

Qinhu Zhang, Zhen Shen, De-Shuang Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Special issue: Advanced Intelligent Computing Theory and Applications in Big Data Era.

Qinhu Zhang, Vitoantonio Bevilacqua, De-Shuang Huang

Neurocomputing, 2021

Locating transcription factor binding sites by fully convolutional neural network.

Qinhu Zhang, Siguo Wang, Zhanheng Chen, Ying He, Qi Liu, De-Shuang Huang

Briefings Bioinform., 2021

A survey on deep learning in DNA/RNA motif mining.

Ying He, Zhen Shen, Qinhu Zhang, Siguo Wang, De-Shuang Huang

Briefings Bioinform., 2021

2020

Weakly-Supervised Convolutional Neural Network Architecture for Predicting Protein-DNA Binding.

Qinhu Zhang, Lin Zhu, Wenzheng Bao, De-Shuang Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Predicting in-Vitro Transcription Factor Binding Sites with Deep Embedding Convolution Network.

Yindong Zhang, Qinhu Zhang, Changan Yuan, Xiao Qin, Hongjie Wu, Xingming Zhao

Proceedings of the Intelligent Computing Theories and Application, 2020

A New Method Combining DNA Shape Features to Improve the Prediction Accuracy of Transcription Factor Binding Sites.

Siguo Wang, Zhen Shen, Ying He, Qinhu Zhang, Changan Yuan, Xiao Qin, Hongjie Wu, Xingming Zhao

Proceedings of the Intelligent Computing Theories and Application, 2020

Three-Layer Dynamic Transfer Learning Language Model for E. Coli Promoter Classification.

Ying He, Zhen Shen, Qinhu Zhang, Siguo Wang, Changan Yuan, Xiao Qin, Hongjie Wu, Xingming Zhao

Proceedings of the Intelligent Computing Theories and Application, 2020

2019

High-Order Convolutional Neural Network Architecture for Predicting DNA-Protein Binding Sites.

Qinhu Zhang, Lin Zhu, De-Shuang Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2019

Motif Discovery via Convolutional Networks with K-mer Embedding.

Dailun Wang, Qinhu Zhang, Chang-An Yuan, Xiao Qin, Zhi-Kai Huang, Li Shang

Proceedings of the Intelligent Computing Theories and Application, 2019

2016

Data clustering using multivariant optimization algorithm.

Qinhu Zhang, Baolei Li, Yajie Liu, Lian Gao, Lan-juan Liu, Xinling Shi

Int. J. Mach. Learn. Cybern., 2016

On the convergence of multivariant optimization algorithm.

Baolei Li, Jianhua Chen, Xinling Shi, Yufeng Zhang, Danjv Lv, Lan-juan Liu, Qinhu Zhang

Appl. Soft Comput., 2016

2014

A novel heuristic algorithm in field GIS-based emergency path finding.

Danjv Lv, Xinling Shi, Baolei Li, Qinhu Zhang, Lian Gao, Yufeng Zhang, Junhua Zhang

Proceedings of the IEEE International Conference on Information and Automation, 2014

Path planning based on firefly algorithm and Bezier curve.

Baolei Li, Lan-juan Liu, Qinhu Zhang, Danjv Lv, Yufeng Zhang, Junhua Zhang, Xinling Shi

Proceedings of the IEEE International Conference on Information and Automation, 2014

2013

Comparative study of two-layer particle swarm optimization and particle swarm optimization in classification for tumor gene expression data with different dimensionalities.

Yajie Liu, Xinling Shi, Baolei Li, Lian Gao, Changxing Gou, Qinhu Zhang, Yunchao Huang

Proceedings of the 6th International Conference on Biomedical Engineering and Informatics, 2013