Qinhu Zhang

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 32

Top Topics

Convolutional Neural Network

Top Venues

IEEE ACM Trans. Comput. Biol. Bioinform.

Briefings Bioinform.

PLoS Comput. Biol.

Publications

Lin Yuan, Shengguo Sun, Qinhu Zhang, Hai-Tao Li, Zhen Shen, Chunyu Hu, Xiaogang Zhao, Lan Ye, Chun-Hou Zheng, De-Shuang Huang
Identification of ferroptosis-related lncRNAs for predicting prognosis and immunotherapy response in non-small cell lung cancer. Future Gener. Comput. Syst. 159 (2024)
Zhi-Peng Li, Hai-Long Su, Yong-Wu, Qinhu Zhang, Chang-an Yuan, Valeriya V. Gribova, Vladimir Fedorovich Filaretov, De-Shuang Huang
Hierarchical Multiview Top-k Pooling With Deep-Q-Networks. IEEE Trans. Artif. Intell. 5 (6) (2024)
Zhen-Hao Guo, Yan-Bin Wang, Siguo Wang, Qinhu Zhang, De-Shuang Huang
scCorrector: a robust method for integrating multi-study single-cell data. Briefings Bioinform. 25 (2) (2024)
Zhanheng Chen, Zhuhong You, Qinhu Zhang, Zhen-Hao Guo, Siguo Wang, Yanbin Wang
In silico prediction methods of self-interacting proteins: an empirical and academic survey. Frontiers Comput. Sci. 17 (3) (2023)
Ying He, Qinhu Zhang, Siguo Wang, Zhanheng Chen, Zhen Cui, Zhen-Hao Guo, De-Shuang Huang
Predicting the Sequence Specificities of DNA-Binding Proteins by DNA Fine-Tuned Language Model With Decaying Learning Rates. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (1) (2023)
Zhen-Hao Guo, Yan Wu, Siguo Wang, Qinhu Zhang, Jin-Ming Shi, Yan-Bin Wang, Zhan-Heng Chen
scInterpreter: a knowledge-regularized generative model for interpretably integrating scRNA-seq data. BMC Bioinform. 24 (1) (2023)
Qinhu Zhang, Pengrui Teng, Siguo Wang, Ying He, Zhen Cui, Zhenghao Guo, Yixin Liu, Changan Yuan, Qi Liu, De-Shuang Huang
Computational prediction and characterization of cell-type-specific and shared binding sites. Bioinform. 39 (1) (2023)
Yiyuan Ge, Ke Niu, Zhihao Chen, Qinhu Zhang
Lightweight Traffic Sign Recognition Model Based on Dynamic Feature Extraction. ICAI (1) (2023)
Qinhu Zhang, Youhong Xu, Siguo Wang, Yong Wu, Yuannong Ye, Chang-An Yuan, Valeriya V. Gribova, Vladimir Fedorovich Filaretov, De-Shuang Huang
Using Fully Convolutional Network to Locate Transcription Factor Binding Sites Based on DNA Sequence and Conservation Information. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (5) (2023)
Lin Yuan, Jiawang Zhao, Zhen Shen, Qinhu Zhang, Yushui Geng, Chun-Hou Zheng, De-Shuang Huang
iCircDA-NEAE: Accelerated attribute network embedding and dynamic convolutional autoencoder for circRNA-disease associations prediction. PLoS Comput. Biol. 19 (8) (2023)
Xiaobo Zhu, Yan Wu, Qinhu Zhang, Zhanheng Chen, Ying He
Dynamic Link Prediction for New Nodes in Temporal Graph Networks. CoRR (2023)
Zhen Cui, Siguo Wang, Ying He, Zhan-Heng Chen, Qinhu Zhang
DeepTPpred: A Deep Learning Approach With Matrix Factorization for Predicting Therapeutic Peptides by Integrating Length Information. IEEE J. Biomed. Health Informatics 27 (9) (2023)
Siguo Wang, Qinhu Zhang, Ying He, Zhen Cui, Zhen-Hao Guo, Kyungsook Han, De-Shuang Huang
DLoopCaller: A deep learning approach for predicting genome-wide chromatin loops by integrating accessible chromatin landscapes. PLoS Comput. Biol. 18 (10) (2022)
Qinhu Zhang, Ying He, Siguo Wang, Zhanheng Chen, Zhen-Hao Guo, Zhen Cui, Qi Liu, De-Shuang Huang
Base-resolution prediction of transcription factor binding signals by a deep learning framework. PLoS Comput. Biol. 18 (3) (2022)
Zhen Shen, Qinhu Zhang, Kyungsook Han, De-Shuang Huang
A Deep Learning Model for RNA-Protein Binding Preference Prediction Based on Hierarchical LSTM and Attention Network. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (2) (2022)
Qinhu Zhang, Yindong Zhang, Siguo Wang, Zhan-Heng Chen, Valeriya V. Gribova, Vladimir Fedorovich Filaretov, De-Shuang Huang
Predicting In-Vitro DNA-Protein Binding With a Spatially Aligned Fusion of Sequence and Shape. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (6) (2022)
Siguo Wang, Ying He, Zhanheng Chen, Qinhu Zhang
FCNGRU: Locating Transcription Factor Binding Sites by Combing Fully Convolutional Neural Network With Gated Recurrent Unit. IEEE J. Biomed. Health Informatics 26 (4) (2022)
Zhen Cui, Zhan-Heng Chen, Qinhu Zhang, Valeriya V. Gribova, Vladimir Fedorovich Filaretov, De-Shuang Huang
RMSCNN: A Random Multi-Scale Convolutional Neural Network for Marine Microbial Bacteriocins Identification. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (6) (2022)
Qinhu Zhang, Zhen Shen, De-Shuang Huang
Predicting in-vitro Transcription Factor Binding Sites Using DNA Sequence + Shape. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (2) (2021)
Qinhu Zhang, Wenbo Yu, Kyungsook Han, Asoke K. Nandi, De-Shuang Huang
Multi-Scale Capsule Network for Predicting DNA-Protein Binding Sites. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (5) (2021)
Qinhu Zhang, Siguo Wang, Zhanheng Chen, Ying He, Qi Liu, De-Shuang Huang
Locating transcription factor binding sites by fully convolutional neural network. Briefings Bioinform. 22 (5) (2021)
Qinhu Zhang, Vitoantonio Bevilacqua, De-Shuang Huang
Special issue: Advanced Intelligent Computing Theory and Applications in Big Data Era. Neurocomputing 452 (2021)
Qinhu Zhang, Dailun Wang, Kyungsook Han, De-Shuang Huang
Predicting TF-DNA Binding Motifs from ChIP-seq Datasets Using the Bag-Based Classifier Combined With a Multi-Fold Learning Scheme. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (5) (2021)
Ying He, Zhen Shen, Qinhu Zhang, Siguo Wang, De-Shuang Huang
A survey on deep learning in DNA/RNA motif mining. Briefings Bioinform. 22 (4) (2021)
Ying He, Zhen Shen, Qinhu Zhang, Siguo Wang, Changan Yuan, Xiao Qin, Hongjie Wu, Xingming Zhao
Three-Layer Dynamic Transfer Learning Language Model for E. Coli Promoter Classification. ICIC (2) (2020)
Siguo Wang, Zhen Shen, Ying He, Qinhu Zhang, Changan Yuan, Xiao Qin, Hongjie Wu, Xingming Zhao
A New Method Combining DNA Shape Features to Improve the Prediction Accuracy of Transcription Factor Binding Sites. ICIC (2) (2020)
Qinhu Zhang, Lin Zhu, Wenzheng Bao, De-Shuang Huang
Weakly-Supervised Convolutional Neural Network Architecture for Predicting Protein-DNA Binding. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (2) (2020)
Yindong Zhang, Qinhu Zhang, Changan Yuan, Xiao Qin, Hongjie Wu, Xingming Zhao
Predicting in-Vitro Transcription Factor Binding Sites with Deep Embedding Convolution Network. ICIC (2) (2020)
Dailun Wang, Qinhu Zhang, Chang-An Yuan, Xiao Qin, Zhi-Kai Huang, Li Shang
Motif Discovery via Convolutional Networks with K-mer Embedding. ICIC (2) (2019)
Qinhu Zhang, Lin Zhu, De-Shuang Huang
High-Order Convolutional Neural Network Architecture for Predicting DNA-Protein Binding Sites. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (4) (2019)
Baolei Li, Jianhua Chen, Xinling Shi, Yufeng Zhang, Danjv Lv, Lan-juan Liu, Qinhu Zhang
On the convergence of multivariant optimization algorithm. Appl. Soft Comput. 48 (2016)
Qinhu Zhang, Baolei Li, Yajie Liu, Lian Gao, Lan-juan Liu, Xinling Shi
Data clustering using multivariant optimization algorithm. Int. J. Mach. Learn. Cybern. 7 (5) (2016)
Danjv Lv, Xinling Shi, Baolei Li, Qinhu Zhang, Lian Gao, Yufeng Zhang, Junhua Zhang
A novel heuristic algorithm in field GIS-based emergency path finding. ICIA (2014)
Baolei Li, Lan-juan Liu, Qinhu Zhang, Danjv Lv, Yufeng Zhang, Junhua Zhang, Xinling Shi
Path planning based on firefly algorithm and Bezier curve. ICIA (2014)
Yajie Liu, Xinling Shi, Baolei Li, Lian Gao, Changxing Gou, Qinhu Zhang, Yunchao Huang
Comparative study of two-layer particle swarm optimization and particle swarm optimization in classification for tumor gene expression data with different dimensionalities. BMEI (2013)