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2020 – today
- 2025
[j33]Zhi-Peng Li
, Siguo Wang, Qinhu Zhang, Yi-Jie Pan, Naian Xiao, Jiayang Guo, Chang-An Yuan, Wen-Jian Liu, De-Shuang Huang:
Graph pooling for graph-level representation learning: a survey. Artif. Intell. Rev. 58(2): 45 (2025)- [j32]Lin Yuan, Shengguo Sun, Yufeng Jiang, Qinhu Zhang, Lan Ye, Chun-Hou Zheng, De-Shuang Huang:
scRGCL: a cell type annotation method for single-cell RNA-seq data using residual graph convolutional neural network with contrastive learning. Briefings Bioinform. 26(1) (2025) - [j31]Yueyue Wang, Pengrui Teng, Zheyu Wu, Yuna Zhang, Zhisen Shen, Qinhu Zhang, De-Shuang Huang:
RGCN-BA: relational graph convolutional network with batch awareness for single-cell RNA sequencing clustering. Briefings Bioinform. 26(4) (2025) - [j30]Zhen Shen, Lin Yuan, Wenzheng Bao, Siguo Wang, Qinhu Zhang, De-Shuang Huang:
A brief survey of deep learning-based models for CircRNA-protein binding sites prediction. Neurocomputing 628: 129637 (2025) - [j29]Zhen Cui, Yan Wu, Qinhu Zhang, Siguo Wang, Zhen-Hao Guo:
NPENN: A Noise Perturbation Ensemble Neural Network for Microbiome Disease Phenotype Prediction. IEEE J. Biomed. Health Informatics 29(3): 2210-2221 (2025) - [e23]De-Shuang Huang, Wei Chen, Chuanlei Zhang, Yijie Pan, Qinhu Zhang, Xiangzeng Kong:
Applied Intelligence - Second International Conference, ICAI 2024, Zhengzhou, China, November 22-25, 2024, Proceedings, Part I. Communications in Computer and Information Science 2387, Springer 2025, ISBN 978-981-96-1906-1 [contents] - [e22]De-Shuang Huang, Wei Chen, Chuanlei Zhang, Yijie Pan, Qinhu Zhang, Xiangzeng Kong:
Applied Intelligence - Second International Conference, ICAI 2024, Zhengzhou, China, November 22-25, 2024, Proceedings, Part II. Communications in Computer and Information Science 2388, Springer 2025, ISBN 978-981-96-1903-0 [contents] - [e21]De-Shuang Huang, Haiming Chen, Bo Li, Qinhu Zhang:
Advanced Intelligent Computing Technology and Applications - 21st International Conference, ICIC 2025, Ningbo, China, July 26-29, 2025, Proceedings, Part II. Lecture Notes in Computer Science 15843, Springer 2025, ISBN 978-981-96-9865-3 [contents] - [e20]De-Shuang Huang, Chuanlei Zhang, Qinhu Zhang, Yijie Pan:
Advanced Intelligent Computing Technology and Applications - 21st International Conference, ICIC 2025, Ningbo, China, July 26-29, 2025, Proceedings, Part III. Lecture Notes in Computer Science 15844, Springer 2025, ISBN 978-981-96-9868-4 [contents] - [e19]De-Shuang Huang, Qinhu Zhang, Chuanlei Zhang, Wei Chen:
Advanced Intelligent Computing Technology and Applications - 21st International Conference, ICIC 2025, Ningbo, China, July 26-29, 2025, Proceedings, Part VI. Lecture Notes in Computer Science 15847, Springer 2025, ISBN 978-981-96-9855-4 [contents] - [e18]De-Shuang Huang, Haiming Chen, Bo Li, Qinhu Zhang:
Advanced Intelligent Computing Technology and Applications - 21st International Conference, ICIC 2025, Ningbo, China, July 26-29, 2025, Proceedings, Part VIII. Lecture Notes in Computer Science 15849, Springer 2025, ISBN 978-981-96-9880-6 [contents] - [e17]De-Shuang Huang, Chuanlei Zhang, Qinhu Zhang, Yijie Pan:
Advanced Intelligent Computing Technology and Applications - 21st International Conference, ICIC 2025, Ningbo, China, July 26-29, 2025, Proceedings, Part IX. Lecture Notes in Computer Science 15850, Springer 2025, ISBN 978-981-96-9883-7 [contents] - [e16]De-Shuang Huang, Qinhu Zhang, Chuanlei Zhang, Wei Chen:
Advanced Intelligent Computing Technology and Applications - 21st International Conference, ICIC 2025, Ningbo, China, July 26-29, 2025, Proceedings, Part XII. Lecture Notes in Computer Science 15853, Springer 2025, ISBN 978-981-96-9893-6 [contents] - [e15]De-Shuang Huang, Haiming Chen, Bo Li, Qinhu Zhang:
Advanced Intelligent Computing Technology and Applications - 21st International Conference, ICIC 2025, Ningbo, China, July 26-29, 2025, Proceedings, Part XIV. Lecture Notes in Computer Science 15855, Springer 2025, ISBN 978-981-96-9907-0 [contents] - [e14]De-Shuang Huang, Chuanlei Zhang, Qinhu Zhang, Yijie Pan:
Advanced Intelligent Computing Technology and Applications - 21st International Conference, ICIC 2025, Ningbo, China, July 26-29, 2025, Proceedings, Part XV. Lecture Notes in Computer Science 15856, Springer 2025, ISBN 978-981-96-9913-1 [contents] - [e13]De-Shuang Huang, Qinhu Zhang, Chuanlei Zhang, Wei Chen:
Advanced Intelligent Computing Technology and Applications - 21st International Conference, ICIC 2025, Ningbo, China, July 26-29, 2025, Proceedings, Part XVIII. Lecture Notes in Computer Science 15859, Springer 2025, ISBN 978-981-96-9811-0 [contents] - [e12]De-Shuang Huang, Haiming Chen, Bo Li, Qinhu Zhang:
Advanced Intelligent Computing Technology and Applications - 21st International Conference, ICIC 2025, Ningbo, China, July 26-29, 2025, Proceedings, Part XX. Lecture Notes in Computer Science 15861, Springer 2025, ISBN 978-981-96-9817-2 [contents] - [e11]De-Shuang Huang, Chuanlei Zhang, Qinhu Zhang, Yijie Pan:
Advanced Intelligent Computing Technology and Applications - 21st International Conference, ICIC 2025, Ningbo, China, July 26-29, 2025, Proceedings, Part XXI. Lecture Notes in Computer Science 15862, Springer 2025, ISBN 978-981-95-0005-5 [contents] - [e10]De-Shuang Huang, Qinhu Zhang, Chuanlei Zhang, Wei Chen:
Advanced Intelligent Computing Technology and Applications - 21st International Conference, ICIC 2025, Ningbo, China, July 26-29, 2025, Proceedings, Part XXIV. Lecture Notes in Computer Science 15865, Springer 2025, ISBN 978-981-95-0019-2 [contents] - [e9]De-Shuang Huang, Haiming Chen, Bo Li, Qinhu Zhang:
Advanced Intelligent Computing Technology and Applications - 21st International Conference, ICIC 2025, Ningbo, China, July 26-29, 2025, Proceedings, Part XXVI. Lecture Notes in Computer Science 15867, Springer 2025, ISBN 978-981-95-0029-1 [contents] - [e8]De-Shuang Huang, Chuanlei Zhang, Qinhu Zhang, Yijie Pan:
Advanced Intelligent Computing Technology and Applications - 21st International Conference, ICIC 2025, Ningbo, China, July 26-29, 2025, Proceedings, Part XXVII. Lecture Notes in Computer Science 15868, Springer 2025, ISBN 978-981-95-0032-1 [contents] - 2024
- [j28]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) - [j27]Lin Yuan, Ling Zhao, Yufeng Jiang, Zhen Shen, Qinhu Zhang, Ming Zhang, Chun-Hou Zheng, De-Shuang Huang:
scMGATGRN: a multiview graph attention network-based method for inferring gene regulatory networks from single-cell transcriptomic data. Briefings Bioinform. 25(6) (2024) - [j26]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: 204-220 (2024) - [j25]Lin Yuan, Ling Zhao, Jinling Lai, Yufeng Jiang, Qinhu Zhang, Zhen Shen, Chun-Hou Zheng, De-Shuang Huang:
iCRBP-LKHA: Large convolutional kernel and hybrid channel-spatial attention for identifying circRNA-RBP interaction sites. PLoS Comput. Biol. 20(8): 1012399 (2024) - [j24]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): 2985-2996 (2024) - [c19]Hongyu Yang, Ruobing Zhang, Qinhu Zhang:
Restoring Missing Slices of Serial Section Electron Microscopy Using Diffusion Models. ICAI (2) 2024: 3-12 - [c18]Yueyue Wang, Zheyu Wu, Qinhu Zhang:
Single Cell Clustering Based on Multi-view Generation. ICAI (1) 2024: 29-39 - [c17]Meng Xing, Xiaomei Li, Qinhu Zhang:
Harnessing Elastic Adaptive Learning Network for Low-Light Image Enhancement. ICAI (2) 2024: 37-48 - [c16]Pengrui Teng, Hongyu Yang, Qinhu Zhang:
Enhancing Medical Image Report Generation Through Regional and Global Feature Interaction. ICAI (1) 2024: 40-51 - [c15]Zheyu Wu, Yueyue Wang, Qinhu Zhang:
scMGCAE: A Masked Graph Cluster Autoencoder for Single-Cell RNA-Seq Clustering. ICAI (1) 2024: 52-63 - [c14]Siguo Wang, Zhipeng Li, Qinhu Zhang:
Predicting Transcription Factor Binding Signals Based on a Novel Encoder-Decoder Framework. ICAI (1) 2024: 130-140 - [c13]Yixin Liu, Yueqin Fan, Zhipeng Li, Qinhu Zhang:
PreZ-DGGAN: A Drug Graph GAN Based on Pre-Learning of Implicit Variables. ICAI (1) 2024: 214-225 - [c12]Han Zhuang, Qinhu Zhang:
A Data Augmentation Method for Disease Diagnosis Based on Single Cell Omics Data. ICAI (1) 2024: 226-232 - [c11]Yuzhu Zhang, Yijie Pan, Mingyang Ou, Guanghui Gong, Qinhu Zhang, Haojin Li, Heng Li:
Domain Adaptation for Semantic Segmentation of Cataract Surgical Images Based on Masked Image Consistency. ICAI (1) 2024: 243-254 - [c10]Meng Xing, Shaoyang Qu, Qinhu Zhang:
Exploration of Neural Radiance Fields, A Review. ICAI (2) 2024: 311-322 - [c9]Xiaobo Zhu, Yan Wu, Qinhu Zhang, Zhanheng Chen, Ying He:
Dynamic Link Prediction for New Nodes in Temporal Graph Networks. IJCNN 2024: 1-8 - [e7]De-Shuang Huang, Chuanlei Zhang, Qinhu Zhang:
Advanced Intelligent Computing Technology and Applications - 20th International Conference, ICIC 2024, Tianjin, China, August 5-8, 2024, Proceedings, Part VII. Lecture Notes in Computer Science 14868, Springer 2024, ISBN 978-981-97-5599-8 [contents] - [e6]De-Shuang Huang, Yijie Pan, Qinhu Zhang:
Advanced Intelligent Computing Technology and Applications - 20th International Conference, ICIC 2024, Tianjin, China, August 5-8, 2024, Proceedings, Part XI. Lecture Notes in Computer Science 14872, Springer 2024, ISBN 978-981-97-5611-7 [contents] - [e5]De-Shuang Huang, Wei Chen, Qinhu Zhang:
Advanced Intelligent Computing Technology and Applications - 20th International Conference, ICIC 2024, Tianjin, China, August 5-8, 2024, Proceedings, Part XIII. Lecture Notes in Computer Science 14874, Springer 2024, ISBN 978-981-97-5617-9 [contents] - [e4]De-Shuang Huang, Xiankun Zhang, Qinhu Zhang:
Advanced Intelligent Computing Technology and Applications - 20th International Conference, ICIC 2024, Tianjin, China, August 5-8, 2024, Proceedings, Part I (LNAI). Lecture Notes in Computer Science 14875, Springer 2024, ISBN 978-981-97-5662-9 [contents] - [e3]De-Shuang Huang, Zhanjun Si, Qinhu Zhang:
Advanced Intelligent Computing Technology and Applications - 20th International Conference, ICIC 2024, Tianjin, China, August 5-8, 2024, Proceedings, Part III. Lecture Notes in Computer Science 14877, Springer 2024, ISBN 978-981-97-5668-1 [contents] - [e2]De-Shuang Huang, Qinhu Zhang, Jiayang Guo:
Advanced Intelligent Computing in Bioinformatics - 20th International Conference, ICIC 2024, Tianjin, China, August 5-8, 2024, Proceedings, Part I (LNBI). Lecture Notes in Computer Science 14881, Springer 2024, ISBN 978-981-97-5688-9 [contents] - [e1]De-Shuang Huang, Yijie Pan, Qinhu Zhang:
Advanced Intelligent Computing in Bioinformatics - 20th International Conference, ICIC 2024, Tianjin, China, August 5-8, 2024, Proceedings, Part II (LNBI). Lecture Notes in Computer Science 14882, Springer 2024, ISBN 978-981-97-5691-9 [contents] - 2023
- [j23]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) - [j22]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): 481 (2023) - [j21]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): 173901 (2023) - [j20]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) - [j19]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): 616-624 (2023) - [j18]Qinhu Zhang, Youhong Xu, Siguo Wang, Yong Wu, Yuan-Nong 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): 2690-2699 (2023) - [j17]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): 4611-4622 (2023) - [c8]Yiyuan Ge, Ke Niu, Zhihao Chen, Qinhu Zhang:
Lightweight Traffic Sign Recognition Model Based on Dynamic Feature Extraction. ICAI (1) 2023: 339-350 - [i1]Xiaobo Zhu, Yan Wu, Qinhu Zhang, Zhanheng Chen, Ying He:
Dynamic Link Prediction for New Nodes in Temporal Graph Networks. CoRR abs/2310.09787 (2023) - 2022
- [j16]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) - [j15]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): 1010572 (2022) - [j14]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): 753-762 (2022) - [j13]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): 3144-3153 (2022) - [j12]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): 3663-3672 (2022) - [j11]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): 1883-1890 (2022) - 2021
- [j10]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) - [j9]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) - [j8]Qinhu Zhang, Vitoantonio Bevilacqua, De-Shuang Huang:
Special issue: Advanced Intelligent Computing Theory and Applications in Big Data Era. Neurocomputing 452: 508-509 (2021) - [j7]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): 667-676 (2021) - [j6]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): 1743-1751 (2021) - [j5]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): 1793-1800 (2021) - 2020
- [j4]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): 679-689 (2020) - [c7]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: 67-78 - [c6]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: 79-89 - [c5]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: 90-100
2010 – 2019
- 2019
- [j3]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): 1184-1192 (2019) - [c4]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: 374-382 - 2016
- [j2]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: 230-239 (2016) - [j1]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): 773-782 (2016) - 2014
- [c3]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: 630-633 - [c2]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: 640-643 - 2013
- [c1]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: 524-529
Coauthor Index
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