Qinhu Zhang

76 papers B 1Journal 34Unranked 18
YearRankTypeTitle / Venue / Authors
2025 J jnl
A brief survey of deep learning-based models for CircRNA-protein binding sites prediction.
Neurocomputing
Zhen Shen, Lin Yuan, Wenzheng Bao, Siguo Wang, Qinhu Zhang, De-Shuang Huang
2025 — ed.
Advanced Intelligent Computing Technology and Applications - 21st International Conference, ICIC 2025, Ningbo, China, July 26-29, 2025, Proceedings, Part II
ICIC (2)
De-Shuang Huang, Haiming Chen, Bo Li, Qinhu Zhang
2025 — ed.
Advanced Intelligent Computing Technology and Applications - 21st International Conference, ICIC 2025, Ningbo, China, July 26-29, 2025, Proceedings, Part III
ICIC (3)
De-Shuang Huang, Chuanlei Zhang, Qinhu Zhang, Yijie Pan
2025 — ed.
Advanced Intelligent Computing Technology and Applications - 21st International Conference, ICIC 2025, Ningbo, China, July 26-29, 2025, Proceedings, Part IX
ICIC (9)
De-Shuang Huang, Chuanlei Zhang, Qinhu Zhang, Yijie Pan
2025 — ed.
Advanced Intelligent Computing Technology and Applications - 21st International Conference, ICIC 2025, Ningbo, China, July 26-29, 2025, Proceedings, Part VI
ICIC (6)
De-Shuang Huang, Qinhu Zhang, Chuanlei Zhang, Wei Chen
2025 — ed.
Advanced Intelligent Computing Technology and Applications - 21st International Conference, ICIC 2025, Ningbo, China, July 26-29, 2025, Proceedings, Part VIII
ICIC (8)
De-Shuang Huang, Haiming Chen, Bo Li, Qinhu Zhang
2025 — ed.
Advanced Intelligent Computing Technology and Applications - 21st International Conference, ICIC 2025, Ningbo, China, July 26-29, 2025, Proceedings, Part XII
ICIC (12)
De-Shuang Huang, Qinhu Zhang, Chuanlei Zhang, Wei Chen
2025 — ed.
Advanced Intelligent Computing Technology and Applications - 21st International Conference, ICIC 2025, Ningbo, China, July 26-29, 2025, Proceedings, Part XIV
ICIC (14)
De-Shuang Huang, Haiming Chen, Bo Li, Qinhu Zhang
2025 — ed.
Advanced Intelligent Computing Technology and Applications - 21st International Conference, ICIC 2025, Ningbo, China, July 26-29, 2025, Proceedings, Part XV
ICIC (15)
De-Shuang Huang, Chuanlei Zhang, Qinhu Zhang, Yijie Pan
2025 — ed.
Advanced Intelligent Computing Technology and Applications - 21st International Conference, ICIC 2025, Ningbo, China, July 26-29, 2025, Proceedings, Part XVIII
ICIC (18)
De-Shuang Huang, Qinhu Zhang, Chuanlei Zhang, Wei Chen
2025 — ed.
Advanced Intelligent Computing Technology and Applications - 21st International Conference, ICIC 2025, Ningbo, China, July 26-29, 2025, Proceedings, Part XX
ICIC (20)
De-Shuang Huang, Haiming Chen, Bo Li, Qinhu Zhang
2025 — ed.
Advanced Intelligent Computing Technology and Applications - 21st International Conference, ICIC 2025, Ningbo, China, July 26-29, 2025, Proceedings, Part XXI
ICIC (21)
De-Shuang Huang, Chuanlei Zhang, Qinhu Zhang, Yijie Pan
2025 — ed.
Advanced Intelligent Computing Technology and Applications - 21st International Conference, ICIC 2025, Ningbo, China, July 26-29, 2025, Proceedings, Part XXIV
ICIC (24)
De-Shuang Huang, Qinhu Zhang, Chuanlei Zhang, Wei Chen
2025 — ed.
Advanced Intelligent Computing Technology and Applications - 21st International Conference, ICIC 2025, Ningbo, China, July 26-29, 2025, Proceedings, Part XXVI
ICIC (26)
De-Shuang Huang, Haiming Chen, Bo Li, Qinhu Zhang
2025 — ed.
Advanced Intelligent Computing Technology and Applications - 21st International Conference, ICIC 2025, Ningbo, China, July 26-29, 2025, Proceedings, Part XXVII
ICIC (27)
De-Shuang Huang, Chuanlei Zhang, Qinhu Zhang, Yijie Pan
2025 — ed.
Applied Intelligence - Second International Conference, ICAI 2024, Zhengzhou, China, November 22-25, 2024, Proceedings, Part I
ICAI (1)
De-Shuang Huang, Wei Chen, Chuanlei Zhang, Yijie Pan, Qinhu Zhang, Xiangzeng Kong
2025 — ed.
Applied Intelligence - Second International Conference, ICAI 2024, Zhengzhou, China, November 22-25, 2024, Proceedings, Part II
ICAI (2)
De-Shuang Huang, Wei Chen, Chuanlei Zhang, Yijie Pan, Qinhu Zhang, Xiangzeng Kong
2025 J jnl
Graph pooling for graph-level representation learning: a survey.
Artif. Intell. Rev.
Zhi-Peng Li, Siguo Wang, Qinhu Zhang, Yi-Jie Pan, Naian Xiao, Jiayang Guo, Chang-An Yuan, Wen-Jian Liu, De-Shuang Huang
2025 J jnl
NPENN: A Noise Perturbation Ensemble Neural Network for Microbiome Disease Phenotype Prediction.
IEEE J. Biomed. Health Informatics
Zhen Cui, Yan Wu, Qinhu Zhang, Siguo Wang, Zhen-Hao Guo
2025 J jnl
RGCN-BA: relational graph convolutional network with batch awareness for single-cell RNA sequencing clustering.
Briefings Bioinform.
Yueyue Wang, Pengrui Teng, Zheyu Wu, Yuna Zhang, Zhisen Shen, Qinhu Zhang, De-Shuang Huang
2025 J jnl
scRGCL: a cell type annotation method for single-cell RNA-seq data using residual graph convolutional neural network with contrastive learning.
Briefings Bioinform.
Lin Yuan, Shengguo Sun, Yufeng Jiang, Qinhu Zhang, Lan Ye, Chun-Hou Zheng, De-Shuang Huang
2024 — conf
A Data Augmentation Method for Disease Diagnosis Based on Single Cell Omics Data.
ICAI (1)
Han Zhuang, Qinhu Zhang
2024 — ed.
Advanced Intelligent Computing Technology and Applications - 20th International Conference, ICIC 2024, Tianjin, China, August 5-8, 2024, Proceedings, Part I (LNAI)
ICIC (LNAI 1)
De-Shuang Huang, Xiankun Zhang, Qinhu Zhang
2024 — ed.
Advanced Intelligent Computing Technology and Applications - 20th International Conference, ICIC 2024, Tianjin, China, August 5-8, 2024, Proceedings, Part III
ICIC (LNAI 3)
De-Shuang Huang, Zhanjun Si, Qinhu Zhang
2024 — ed.
Advanced Intelligent Computing Technology and Applications - 20th International Conference, ICIC 2024, Tianjin, China, August 5-8, 2024, Proceedings, Part VII
ICIC (7)
De-Shuang Huang, Chuanlei Zhang, Qinhu Zhang
2024 — ed.
Advanced Intelligent Computing Technology and Applications - 20th International Conference, ICIC 2024, Tianjin, China, August 5-8, 2024, Proceedings, Part XI
ICIC (11)
De-Shuang Huang, Yijie Pan, Qinhu Zhang
2024 — ed.
Advanced Intelligent Computing Technology and Applications - 20th International Conference, ICIC 2024, Tianjin, China, August 5-8, 2024, Proceedings, Part XIII
ICIC (13)
De-Shuang Huang, Wei Chen, Qinhu Zhang
2024 — ed.
Advanced Intelligent Computing in Bioinformatics - 20th International Conference, ICIC 2024, Tianjin, China, August 5-8, 2024, Proceedings, Part I (LNBI)
ICIC (LNBI 1)
De-Shuang Huang, Qinhu Zhang, Jiayang Guo
2024 — ed.
Advanced Intelligent Computing in Bioinformatics - 20th International Conference, ICIC 2024, Tianjin, China, August 5-8, 2024, Proceedings, Part II (LNBI)
ICIC (LNBI 2)
De-Shuang Huang, Yijie Pan, Qinhu Zhang
2024 — conf
Domain Adaptation for Semantic Segmentation of Cataract Surgical Images Based on Masked Image Consistency.
ICAI (1)
Yuzhu Zhang, Yijie Pan, Mingyang Ou, Guanghui Gong, Qinhu Zhang, Haojin Li, Heng Li
2024 B conf
Dynamic Link Prediction for New Nodes in Temporal Graph Networks.
IJCNN
Xiaobo Zhu, Yan Wu, Qinhu Zhang, Zhanheng Chen, Ying He
2024 — conf
Enhancing Medical Image Report Generation Through Regional and Global Feature Interaction.
ICAI (1)
Pengrui Teng, Hongyu Yang, Qinhu Zhang
2024 — conf
Exploration of Neural Radiance Fields, A Review.
ICAI (2)
Meng Xing, Shaoyang Qu, Qinhu Zhang
2024 — conf
Harnessing Elastic Adaptive Learning Network for Low-Light Image Enhancement.
ICAI (2)
Meng Xing, Xiaomei Li, Qinhu Zhang
2024 J jnl
Hierarchical Multiview Top-k Pooling With Deep-Q-Networks.
IEEE Trans. Artif. Intell.
Zhi-Peng Li, Hai-Long Su, Yong Wu, Qinhu Zhang, Chang-An Yuan, Valeriya V. Gribova, Vladimir Fedorovich Filaretov, De-Shuang Huang
2024 J jnl
Identification of ferroptosis-related lncRNAs for predicting prognosis and immunotherapy response in non-small cell lung cancer.
Future Gener. Comput. Syst.
Lin Yuan, Shengguo Sun, Qinhu Zhang, Hai-Tao Li, Zhen Shen, Chunyu Hu, Xiaogang Zhao, Lan Ye, Chun-Hou Zheng, De-Shuang Huang
2024 — conf
PreZ-DGGAN: A Drug Graph GAN Based on Pre-Learning of Implicit Variables.
ICAI (1)
Yixin Liu, Yueqin Fan, Zhipeng Li, Qinhu Zhang
2024 — conf
Predicting Transcription Factor Binding Signals Based on a Novel Encoder-Decoder Framework.
ICAI (1)
Siguo Wang, Zhipeng Li, Qinhu Zhang
2024 — conf
Restoring Missing Slices of Serial Section Electron Microscopy Using Diffusion Models.
ICAI (2)
Hongyu Yang, Ruobing Zhang, Qinhu Zhang
2024 — conf
Single Cell Clustering Based on Multi-view Generation.
ICAI (1)
Yueyue Wang, Zheyu Wu, Qinhu Zhang
2024 J jnl
iCRBP-LKHA: Large convolutional kernel and hybrid channel-spatial attention for identifying circRNA-RBP interaction sites.
PLoS Comput. Biol.
Lin Yuan, Ling Zhao, Jinling Lai, Yufeng Jiang, Qinhu Zhang, Zhen Shen, Chun-Hou Zheng, De-Shuang Huang
2024 J jnl
scCorrector: a robust method for integrating multi-study single-cell data.
Briefings Bioinform.
Zhen-Hao Guo, Yan-Bin Wang, Siguo Wang, Qinhu Zhang, De-Shuang Huang
2024 J jnl
scMGATGRN: a multiview graph attention network-based method for inferring gene regulatory networks from single-cell transcriptomic data.
Briefings Bioinform.
Lin Yuan, Ling Zhao, Yufeng Jiang, Zhen Shen, Qinhu Zhang, Ming Zhang, Chun-Hou Zheng, De-Shuang Huang
2024 — conf
scMGCAE: A Masked Graph Cluster Autoencoder for Single-Cell RNA-Seq Clustering.
ICAI (1)
Zheyu Wu, Yueyue Wang, Qinhu Zhang
2023 J jnl
Computational prediction and characterization of cell-type-specific and shared binding sites.
Bioinform.
Qinhu Zhang, Pengrui Teng, Siguo Wang, Ying He, Zhen Cui, Zhenghao Guo, Yixin Liu, Changan Yuan, Qi Liu, De-Shuang Huang
2023 J jnl
DeepTPpred: A Deep Learning Approach With Matrix Factorization for Predicting Therapeutic Peptides by Integrating Length Information.
IEEE J. Biomed. Health Informatics
Zhen Cui, Siguo Wang, Ying He, Zhan-Heng Chen, Qinhu Zhang
2023 J jnl
Dynamic Link Prediction for New Nodes in Temporal Graph Networks.
CoRR
Xiaobo Zhu, Yan Wu, Qinhu Zhang, Zhanheng Chen, Ying He
2023 J jnl
In silico prediction methods of self-interacting proteins: an empirical and academic survey.
Frontiers Comput. Sci.
Zhanheng Chen, Zhuhong You, Qinhu Zhang, Zhen-Hao Guo, Siguo Wang, Yanbin Wang
2023 — conf
Lightweight Traffic Sign Recognition Model Based on Dynamic Feature Extraction.
ICAI (1)
Yiyuan Ge, Ke Niu, Zhihao Chen, Qinhu Zhang
2023 J jnl
Predicting the Sequence Specificities of DNA-Binding Proteins by DNA Fine-Tuned Language Model With Decaying Learning Rates.
IEEE ACM Trans. Comput. Biol. Bioinform.
Ying He, Qinhu Zhang, Siguo Wang, Zhanheng Chen, Zhen Cui, Zhen-Hao Guo, De-Shuang Huang
2023 J jnl
Using Fully Convolutional Network to Locate Transcription Factor Binding Sites Based on DNA Sequence and Conservation Information.
IEEE ACM Trans. Comput. Biol. Bioinform.
Qinhu Zhang, Youhong Xu, Siguo Wang, Yong Wu, Yuan-Nong Ye, Chang-An Yuan, Valeriya V. Gribova, Vladimir Fedorovich Filaretov, De-Shuang Huang
2023 J jnl
iCircDA-NEAE: Accelerated attribute network embedding and dynamic convolutional autoencoder for circRNA-disease associations prediction.
PLoS Comput. Biol.
Lin Yuan, Jiawang Zhao, Zhen Shen, Qinhu Zhang, Yushui Geng, Chun-Hou Zheng, De-Shuang Huang
2023 J jnl
scInterpreter: a knowledge-regularized generative model for interpretably integrating scRNA-seq data.
BMC Bioinform.
Zhen-Hao Guo, Yan Wu, Siguo Wang, Qinhu Zhang, Jin-Ming Shi, Yan-Bin Wang, Zhan-Heng Chen
2022 J jnl
A Deep Learning Model for RNA-Protein Binding Preference Prediction Based on Hierarchical LSTM and Attention Network.
IEEE ACM Trans. Comput. Biol. Bioinform.
Zhen Shen, Qinhu Zhang, Kyungsook Han, De-Shuang Huang
2022 J jnl
Base-resolution prediction of transcription factor binding signals by a deep learning framework.
PLoS Comput. Biol.
Qinhu Zhang, Ying He, Siguo Wang, Zhanheng Chen, Zhen-Hao Guo, Zhen Cui, Qi Liu, De-Shuang Huang
2022 J jnl
DLoopCaller: A deep learning approach for predicting genome-wide chromatin loops by integrating accessible chromatin landscapes.
PLoS Comput. Biol.
Siguo Wang, Qinhu Zhang, Ying He, Zhen Cui, Zhen-Hao Guo, Kyungsook Han, De-Shuang Huang
2022 J jnl
FCNGRU: Locating Transcription Factor Binding Sites by Combing Fully Convolutional Neural Network With Gated Recurrent Unit.
IEEE J. Biomed. Health Informatics
Siguo Wang, Ying He, Zhanheng Chen, Qinhu Zhang
2022 J jnl
Predicting In-Vitro DNA-Protein Binding With a Spatially Aligned Fusion of Sequence and Shape.
IEEE ACM Trans. Comput. Biol. Bioinform.
Qinhu Zhang, Yindong Zhang, Siguo Wang, Zhan-Heng Chen, Valeriya V. Gribova, Vladimir Fedorovich Filaretov, De-Shuang Huang
2022 J jnl
RMSCNN: A Random Multi-Scale Convolutional Neural Network for Marine Microbial Bacteriocins Identification.
IEEE ACM Trans. Comput. Biol. Bioinform.
Zhen Cui, Zhan-Heng Chen, Qinhu Zhang, Valeriya V. Gribova, Vladimir Fedorovich Filaretov, De-Shuang Huang
2021 J jnl
A survey on deep learning in DNA/RNA motif mining.
Briefings Bioinform.
Ying He, Zhen Shen, Qinhu Zhang, Siguo Wang, De-Shuang Huang
2021 J jnl
Locating transcription factor binding sites by fully convolutional neural network.
Briefings Bioinform.
Qinhu Zhang, Siguo Wang, Zhanheng Chen, Ying He, Qi Liu, De-Shuang Huang
2021 J jnl
Multi-Scale Capsule Network for Predicting DNA-Protein Binding Sites.
IEEE ACM Trans. Comput. Biol. Bioinform.
Qinhu Zhang, Wenbo Yu, Kyungsook Han, Asoke K. Nandi, De-Shuang Huang
2021 J jnl
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.
Qinhu Zhang, Dailun Wang, Kyungsook Han, De-Shuang Huang
2021 J jnl
Predicting in-vitro Transcription Factor Binding Sites Using DNA Sequence + Shape.
IEEE ACM Trans. Comput. Biol. Bioinform.
Qinhu Zhang, Zhen Shen, De-Shuang Huang
2021 J jnl
Special issue: Advanced Intelligent Computing Theory and Applications in Big Data Era.
Neurocomputing
Qinhu Zhang, Vitoantonio Bevilacqua, De-Shuang Huang
2020 — conf
A New Method Combining DNA Shape Features to Improve the Prediction Accuracy of Transcription Factor Binding Sites.
ICIC (2)
Siguo Wang, Zhen Shen, Ying He, Qinhu Zhang, Changan Yuan, Xiao Qin, Hongjie Wu, Xingming Zhao
2020 — conf
Predicting in-Vitro Transcription Factor Binding Sites with Deep Embedding Convolution Network.
ICIC (2)
Yindong Zhang, Qinhu Zhang, Changan Yuan, Xiao Qin, Hongjie Wu, Xingming Zhao
2020 — conf
Three-Layer Dynamic Transfer Learning Language Model for E. Coli Promoter Classification.
ICIC (2)
Ying He, Zhen Shen, Qinhu Zhang, Siguo Wang, Changan Yuan, Xiao Qin, Hongjie Wu, Xingming Zhao
2020 J jnl
Weakly-Supervised Convolutional Neural Network Architecture for Predicting Protein-DNA Binding.
IEEE ACM Trans. Comput. Biol. Bioinform.
Qinhu Zhang, Lin Zhu, Wenzheng Bao, De-Shuang Huang
2019 J jnl
High-Order Convolutional Neural Network Architecture for Predicting DNA-Protein Binding Sites.
IEEE ACM Trans. Comput. Biol. Bioinform.
Qinhu Zhang, Lin Zhu, De-Shuang Huang
2019 — conf
Motif Discovery via Convolutional Networks with K-mer Embedding.
ICIC (2)
Dailun Wang, Qinhu Zhang, Chang-An Yuan, Xiao Qin, Zhi-Kai Huang, Li Shang
2016 J jnl
Data clustering using multivariant optimization algorithm.
Int. J. Mach. Learn. Cybern.
Qinhu Zhang, Baolei Li, Yajie Liu, Lian Gao, Lan-juan Liu, Xinling Shi
2016 J jnl
On the convergence of multivariant optimization algorithm.
Appl. Soft Comput.
Baolei Li, Jianhua Chen, Xinling Shi, Yufeng Zhang, Danjv Lv, Lan-juan Liu, Qinhu Zhang
2014 — conf
A novel heuristic algorithm in field GIS-based emergency path finding.
ICIA
Danjv Lv, Xinling Shi, Baolei Li, Qinhu Zhang, Lian Gao, Yufeng Zhang, Junhua Zhang
2014 — conf
Path planning based on firefly algorithm and Bezier curve.
ICIA
Baolei Li, Lan-juan Liu, Qinhu Zhang, Danjv Lv, Yufeng Zhang, Junhua Zhang, Xinling Shi
2013 — conf
Comparative study of two-layer particle swarm optimization and particle swarm optimization in classification for tumor gene expression data with different dimensionalities.
BMEI
Yajie Liu, Xinling Shi, Baolei Li, Lian Gao, Changxing Gou, Qinhu Zhang, Yunchao Huang