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ORCIDZhu-Hong You
Zhuhong You
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- affiliation: Shenzhen University, College of Computer Science and Software Engineering, China
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2020 – today
- 2025
[j144]Bo-Wei Zhao
, Xiao-Rui Su, Yue Yang, Dong-Xu Li, Guo-Dong Li, Peng-Wei Hu, Zhu-Hong You, Xin Luo, Lun Hu:
Regulation-aware graph learning for drug repositioning over heterogeneous biological network. Inf. Sci. 686: 121360 (2025)- [j143]Zhen Wang, Zhu-Hong You, Nan Xu, Chuanlei Zhang, De-Shuang Huang:
UAVSeg: Dual-Encoder Cross-Scale Attention Network for UAV Images' Semantic Segmentation. IEEE Trans. Geosci. Remote. Sens. 63: 1-17 (2025) - 2024
- [j142]Lei Wang, Zheng-Wei Li, Jing Hu, Leon Wong, Bo-Wei Zhao, Zhu-Hong You:
A PiRNA-disease association model incorporating sequence multi-source information with graph convolutional networks. Appl. Soft Comput. 157: 111523 (2024) - [j141]Lu-Xiang Guo, Lei Wang, Zhu-Hong You, Chang-Qing Yu, Meng-Lei Hu, Bo-Wei Zhao, Yang Li:
Likelihood-based feature representation learning combined with neighborhood information for predicting circRNA-miRNA associations. Briefings Bioinform. 25(2) (2024) - [j140]Xin-Fei Wang, Lan Huang, Yan Wang, Ren-Chu Guan, Zhu-Hong You, Nan Sheng, Xuping Xie, Wenju Hou:
Multi-view learning framework for predicting unknown types of cancer markers via directed graph neural networks fitting regulatory networks. Briefings Bioinform. 25(6) (2024) - [j139]Xin-Fei Wang, Lan Huang, Yan Wang, Ren-Chu Guan, Zhu-Hong You, Nan Sheng, Xuping Xie, Qixing Yang:
A multichannel graph neural network based on multisimilarity modality hypergraph contrastive learning for predicting unknown types of cancer biomarkers. Briefings Bioinform. 25(6) (2024) - [j138]Yongjian Guan, Chang-Qing Yu, Li-Ping Li, Zhu-Hong You, Weixiao Meng, Xin-Fei Wang, Chen Yang, Lu-Xiang Guo:
MHESMMR: a multilevel model for predicting the regulation of miRNAs expression by small molecules. BMC Bioinform. 25(1): 6 (2024) - [j137]Xin-Fei Wang, Chang-Qing Yu, Zhu-Hong You, Yan Wang, Lan Huang, Yan Qiao, Lei Wang, Zheng-Wei Li:
BEROLECMI: a novel prediction method to infer circRNA-miRNA interaction from the role definition of molecular attributes and biological networks. BMC Bioinform. 25(1): 264 (2024) - [j136]Lin-Xuan Hou, Hai-Cheng Yi, Zhu-Hong You, Shi-Hong Chen, Jia Zheng, Chee Keong Kwoh:
MathEagle: Accurate prediction of drug-drug interaction events via multi-head attention and heterogeneous attribute graph learning. Comput. Biol. Medicine 177: 108642 (2024) - [j135]Yu Li, Zhu-Hong You, Shu-Min Wang, Cheng-Gang Mi, Mei-Neng Wang, Yu-An Huang, Hai-Cheng Yi:
Attention-Based Learning for Predicting Drug-Drug Interactions in Knowledge Graph Embedding Based on Multisource Fusion Information. Int. J. Intell. Syst. 2024: 1-11 (2024) - [j134]Zhong-Hao Ren, Chang-Qing Yu, Li-Ping Li, Zhu-Hong You, Zheng-Wei Li, Shanwen Zhang, Xiangxiang Zeng, Yi-Fan Shang:
SiSGC: A Drug Repositioning Prediction Model Based on Heterogeneous Simplifying Graph Convolution. J. Chem. Inf. Model. 64(1): 238-249 (2024) - [j133]Chang-Qing Yu, Xin-Fei Wang, Li-Ping Li, Zhu-Hong You, Zhong-Hao Ren, Peng Chu, Feng Guo, Zhen-Yu Wang:
RBNE-CMI: An Efficient Method for Predicting circRNA-miRNA Interactions via Multiattribute Incomplete Heterogeneous Network Embedding. J. Chem. Inf. Model. 64(18): 7163-7172 (2024) - [j132]Jie Pan, Guangming Zhang, Yong Yang, Wenli Yang, Ning Mao, Zhuhong You, Jie Feng, Shiwei Wang, Yanmei Sun:
MHIPM: Accurate Prediction of Microbe-Host Interactions Using Multiview Features from a Heterogeneous Microbial Network. J. Chem. Inf. Model. 64(19): 7793-7805 (2024) - [j131]Yu Li, Zhu-Hong You, Yang Yuan, Cheng-Gang Mi, Yu-An Huang, Hai-Cheng Yi, Lin-Xuan Hou:
Integrated Knowledge Graph and Drug Molecular Graph Fusion via Adversarial Networks for Drug-Drug Interaction Prediction. J. Chem. Inf. Model. 64(21): 8361-8372 (2024) - [j130]Ji-Ren Zhou, Boya Ji, Rui Niu, Xuequn Shang, Zhuhong You:
A hierarchical GNN across semantic and topological domains for predicting circRNA-microRNA interactions. Knowl. Based Syst. 304: 112549 (2024) - [j129]Lei Wang, Leon Wong, Zhu-Hong You, De-Shuang Huang:
AMDECDA: Attention Mechanism Combined With Data Ensemble Strategy for Predicting CircRNA-Disease Association. IEEE Trans. Big Data 10(4): 320-329 (2024) - [j128]Bo-Wei Zhao, Lei Wang, Pengwei Hu, Leon Wong, Xiao-Rui Su, Bao-Quan Wang, Zhu-Hong You, Lun Hu:
Fusing Higher and Lower-Order Biological Information for Drug Repositioning via Graph Representation Learning. IEEE Trans. Emerg. Top. Comput. 12(1): 163-176 (2024) - [j127]Lei Wang, Zheng-Wei Li, Zhu-Hong You, De-Shuang Huang, Leon Wong:
GSLCDA: An Unsupervised Deep Graph Structure Learning Method for Predicting CircRNA-Disease Association. IEEE J. Biomed. Health Informatics 28(3): 1742-1751 (2024) - [j126]Lei Wang, Zheng-Wei Li, Zhu-Hong You, De-Shuang Huang, Leon Wong:
MAGCDA: A Multi-Hop Attention Graph Neural Networks Method for CircRNA-Disease Association Prediction. IEEE J. Biomed. Health Informatics 28(3): 1752-1761 (2024) - [j125]Bo-Wei Zhao, Yi-Zhou He, Xiao-Rui Su, Yue Yang, Guo-Dong Li, Yu-An Huang, Peng-Wei Hu, Zhu-Hong You, Lun Hu:
Motif-Aware miRNA-Disease Association Prediction via Hierarchical Attention Network. IEEE J. Biomed. Health Informatics 28(7): 4281-4294 (2024) - [j124]Zhengwei Li, Xu Bai, Ru Nie, Yanyan Liu, Lei Zhang, Zhuhong You:
Predicting miRNA-Disease Associations Based on Spectral Graph Transformer With Dynamic Attention and Regularization. IEEE J. Biomed. Health Informatics 28(12): 7611-7622 (2024) - [c77]Xiaorui Su, Pengwei Hu, Zhu-Hong You, Philip S. Yu, Lun Hu:
Dual-Channel Learning Framework for Drug-Drug Interaction Prediction via Relation-Aware Heterogeneous Graph Transformer. AAAI 2024: 249-256 - [c76]Shan Yang, Hangyuan Yang, Yanglin Pu, Yanbin Wang, Zhuhong You:
Context-Aware Relative Distinctive Feature Learning for Person Re-identification. ICIC (8) 2024: 203-215 - [c75]Yanglin Pu, Chen Gao, Bo Liu, Si Liu, Shan Yang, Junhua Xiao, Shiliang Pu, Zhuhong You, Yanbin Wang:
LAROD-HD: Low-Cost Adaptive Real-Time Object Detection for High-Resolution Video Surveillance. ICIC (8) 2024: 253-265 - [c74]Zimai Zhang, Bo-Wei Zhao, Yu-An Huang, Zhu-Hong You, Lun Hu, Xi Zhou, Pengwei Hu:
GGANet: A Model for the Prediction of MiRNA-Drug Resistance Based on Contrastive Learning and Global Attention. ICIC (LNBI 1) 2024: 263-275 - [c73]Ru Nie, Xiaobing Shen, Zhengwei Li, Yanxia Jiang, Hongmei Liao, Zhuhong You:
Lightweight Coal Flow Foreign Object Detection Algorithm. ICIC (3) 2024: 393-404 - 2023
- [j123]Lei Huang, Wenzhun Huang, Hai Gong, Changqing Yu, Zhuhong You:
PEFNet: Position Enhancement Faster Network for Object Detection in Roadside Perception System. IEEE Access 11: 73007-73023 (2023) - [j122]Kai Zheng, Xin-Lu Zhang, Lei Wang, Zhu-Hong You, Bo-Ya Ji, Xiao Liang, Zheng-Wei Li:
SPRDA: a link prediction approach based on the structural perturbation to infer disease-associated Piwi-interacting RNAs. Briefings Bioinform. 24(1) (2023) - [j121]Xin-Fei Wang, Changqing Yu, Zhu-Hong You, Li-Ping Li, Wenzhun Huang, Zhong-Hao Ren, Yue-Chao Li, Weixiao Meng:
A feature extraction method based on noise reduction for circRNA-miRNA interaction prediction combining multi-structure features in the association networks. Briefings Bioinform. 24(3) (2023) - [j120]Jie Pan, Zhuhong You, Wencai You, Tian Zhao, Chenlu Feng, Xuexia Zhang, Fengzhi Ren, Sanxing Ma, Fan Wu, Shiwei Wang, Yanmei Sun:
PTBGRP: predicting phage-bacteria interactions with graph representation learning on microbial heterogeneous information network. Briefings Bioinform. 24(6) (2023) - [j119]Kangwei Wang, Zhengwei Li, Zhu-Hong You, Pengyong Han, Ru Nie:
Adversarial dense graph convolutional networks for single-cell classification. Bioinform. 39(2) (2023) - [j118]Bo-Wei Zhao, Xiao-Rui Su, Peng-Wei Hu, Yu-An Huang, Zhu-Hong You, Lun Hu:
iGRLDTI: an improved graph representation learning method for predicting drug-target interactions over heterogeneous biological information network. Bioinform. 39(8) (2023) - [j117]Ping Zhang, Weicheng Sun, Dengguo Wei, Guodong Li, Jinsheng Xu, Zhuhong You, Bowei Zhao, Li Li:
PDA-PRGCN: identification of Piwi-interacting RNA-disease associations through subgraph projection and residual scaling-based feature augmentation. BMC Bioinform. 24(1): 18 (2023) - [j116]Leon Wong, Lei Wang, Zhu-Hong You, Chang-An Yuan, Yu-An Huang, Mei-Yuan Cao:
GKLOMLI: a link prediction model for inferring miRNA-lncRNA interactions by using Gaussian kernel-based method on network profile and linear optimization algorithm. BMC Bioinform. 24(1): 188 (2023) - [j115]Xin-Fei Wang, Chang-Qing Yu, Zhu-Hong You, Yan Qiao, Zheng-Wei Li, Wenzhun Huang:
An efficient circRNA-miRNA interaction prediction model by combining biological text mining and wavelet diffusion-based sparse network structure embedding. Comput. Biol. Medicine 165: 107421 (2023) - [j114]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) - [j113]Meng-Meng Wei, Chang-Qing Yu, Li-Ping Li, Zhu-Hong You, Lei Wang:
BCMCMI: A Fusion Model for Predicting circRNA-miRNA Interactions Combining Semantic and Meta-path. J. Chem. Inf. Model. 63(16): 5384-5394 (2023) - [j112]Yongbao Wu, Yize Jiang, Fuyong Wang, Zhuhong You:
Aperiodically intermittent-based filtering in sensor networks. J. Frankl. Inst. 360(5): 3618-3632 (2023) - [j111]Yang-Han Wu, Yu-An Huang, Jian-Qiang Li, Zhu-Hong You, Peng-Wei Hu, Lun Hu, Victor C. M. Leung, Zhihua Du:
Knowledge graph embedding for profiling the interaction between transcription factors and their target genes. PLoS Comput. Biol. 19(6) (2023) - [j110]Huan Zhao, Zhengwei Li, Zhu-Hong You, Ru Nie, Tangbo Zhong:
Predicting Mirna-Disease Associations Based on Neighbor Selection Graph Attention Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 20(2): 1298-1307 (2023) - [j109]Mei-Neng Wang, Xue-Jun Xie, Zhu-Hong You, Leon Wong, Li-Ping Li, Zhan-Heng Chen:
Combining K Nearest Neighbor With Nonnegative Matrix Factorization for Predicting Circrna-Disease Associations. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 2610-2618 (2023) - [j108]Zheng-Wei Li, Qiankun Wang, Chang-An Yuan, Pengyong Han, Zhu-Hong You, Lei Wang:
Predicting MiRNA-Disease Associations by Graph Representation Learning Based on Jumping Knowledge Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 2629-2638 (2023) - [j107]Lei Wang, Zhu-Hong You, De-Shuang Huang, Jianqiang Li:
MGRCDA: Metagraph Recommendation Method for Predicting CircRNA-Disease Association. IEEE Trans. Cybern. 53(1): 67-75 (2023) - [j106]Xiao-Rui Su, Pengwei Hu, Hai-Cheng Yi, Zhuhong You, Lun Hu:
Predicting Drug-Target Interactions Over Heterogeneous Information Network. IEEE J. Biomed. Health Informatics 27(1): 562-572 (2023) - [j105]Yue-Chao Li, Zhu-Hong You, Changqing Yu, Lei Wang, Leon Wong, Lun Hu, Pengwei Hu, Yu-An Huang:
PPAEDTI: Personalized Propagation Auto-Encoder Model for Predicting Drug-Target Interactions. IEEE J. Biomed. Health Informatics 27(1): 573-582 (2023) - [j104]Xiaorui Su, Zhuhong You, Deshuang Huang, Lei Wang, Leon Wong, Boya Ji, Bowei Zhao:
Biomedical Knowledge Graph Embedding With Capsule Network for Multi-Label Drug-Drug Interaction Prediction. IEEE Trans. Knowl. Data Eng. 35(6): 5640-5651 (2023) - [c72]Xun Deng, Lun Hu, Zhu-Hong You, Peng-Wei Hu:
CAMPEOD: A Cross Attention-Based Multi-Scale Patch Embedding Organoid Detection Model. BIBM 2023: 1068-1073 - [c71]Jia Wang, Gui-Qing Pan, Jian-Qiang Li, Xue-Qun Shang, Zhu-Hong You, Yu-An Huang:
Deep-USIpred: identifying substrates of ubiquitin protein ligases E3 and deubiquitinases with pretrained protein embedding and bayesian neural network. BIBM 2023: 2277-2280 - [c70]Hongjian Zhu, Chenzhou Zhang, Zhuhong You:
Hypertension Risk Prediction Among Diabetic Patients Using Unconditional Multivariate Logistic Regression Model. ICBEA 2023: 1-10 - [c69]Bo-Wei Zhao, Xiao-Rui Su, Yue Yang, Dong-Xu Li, Peng-Wei Hu, Zhu-Hong You, Lun Hu:
Multi-level Subgraph Representation Learning for Drug-Disease Association Prediction Over Heterogeneous Biological Information Network. ICIC (3) 2023: 156-167 - [c68]Dong-Xu Li, Xun Deng, Bo-Wei Zhao, Xiao-Rui Su, Guo-Dong Li, Zhu-Hong You, Peng-Wei Hu, Lun Hu:
A Novel Graph Representation Learning Model for Drug Repositioning Using Graph Transition Probability Matrix Over Heterogenous Information Networks. ICIC (3) 2023: 180-191 - [c67]Yiming Qin, Jiajia Li, Yulong Chen, Zikai Wang, Yu-An Huang, Zhuhong You, Lun Hu, Pengwei Hu, Feng Tan:
TransOrga: End-To-End Multi-modal Transformer-Based Organoid Segmentation. ICIC (3) 2023: 460-472 - 2022
- [j103]Xiao-Rui Su, Lun Hu, Zhuhong You, Pengwei Hu, Lei Wang, Bo-Wei Zhao:
A deep learning method for repurposing antiviral drugs against new viruses via multi-view nonnegative matrix factorization and its application to SARS-CoV-2. Briefings Bioinform. 23(1) (2022) - [j102]Hai-Cheng Yi, Zhu-Hong You, De-Shuang Huang, Chee Keong Kwoh:
Graph representation learning in bioinformatics: trends, methods and applications. Briefings Bioinform. 23(1) (2022) - [j101]Bo-Wei Zhao, Lun Hu, Zhu-Hong You, Lei Wang, Xiao-Rui Su:
HINGRL: predicting drug-disease associations with graph representation learning on heterogeneous information networks. Briefings Bioinform. 23(1) (2022) - [j100]Tangbo Zhong, Zhengwei Li, Zhu-Hong You, Ru Nie, Huan Zhao:
Predicting miRNA-disease associations based on graph random propagation network and attention network. Briefings Bioinform. 23(2) (2022) - [j99]Zhihua Du, Yang-Han Wu, Yu-An Huang, Jie Chen, Gui-Qing Pan, Lun Hu, Zhu-Hong You, Jian-Qiang Li:
GraphTGI: an attention-based graph embedding model for predicting TF-target gene interactions. Briefings Bioinform. 23(3) (2022) - [j98]Xiao-Rui Su, Lun Hu, Zhuhong You, Pengwei Hu, Bo-Wei Zhao:
Attention-based Knowledge Graph Representation Learning for Predicting Drug-drug Interactions. Briefings Bioinform. 23(3) (2022) - [j97]Han-Yuan Zhang, Lei Wang, Zhu-Hong You, Lun Hu, Bo-Wei Zhao, Zheng-Wei Li, Yang-Ming Li:
iGRLCDA: identifying circRNA-disease association based on graph representation learning. Briefings Bioinform. 23(3) (2022) - [j96]Lu-Xiang Guo, Zhu-Hong You, Lei Wang, Changqing Yu, Bo-Wei Zhao, Zhong-Hao Ren, Jie Pan:
A novel circRNA-miRNA association prediction model based on structural deep neural network embedding. Briefings Bioinform. 23(5) (2022) - [j95]Zhong-Hao Ren, Zhu-Hong You, Changqing Yu, Li-Ping Li, Yongjian Guan, Lu-Xiang Guo, Jie Pan:
A biomedical knowledge graph-based method for drug-drug interactions prediction through combining local and global features with deep neural networks. Briefings Bioinform. 23(5) (2022) - [j94]Lei Wang, Leon Wong, Zheng-Wei Li, Yuan Huang, Xiao-Rui Su, Bo-Wei Zhao, Zhuhong You:
A machine learning framework based on multi-source feature fusion for circRNA-disease association prediction. Briefings Bioinform. 23(5) (2022) - [j93]Yang Li, Xue-Gang Hu, Lei Wang, Pei-Pei Li, Zhu-Hong You:
MNMDCDA: prediction of circRNA-disease associations by learning mixed neighborhood information from multiple distances. Briefings Bioinform. 23(6) (2022) - [j92]Kai Zheng, Xin-Lu Zhang, Lei Wang, Zhu-Hong You, Zhaohui Zhan, Hao-Yuan Li:
Line graph attention networks for predicting disease-associated Piwi-interacting RNAs. Briefings Bioinform. 23(6) (2022) - [j91]Xiao-Rui Su, Lun Hu, Zhu-Hong You, Pengwei Hu, Bo-Wei Zhao:
Multi-view heterogeneous molecular network representation learning for protein-protein interaction prediction. BMC Bioinform. 23(1): 234 (2022) - [j90]Yang Li, Xuegang Hu, Zhu-Hong You, Li-Ping Li, Pei-Pei Li, Yan-Bin Wang, Yu-An Huang:
Robust and accurate prediction of self-interacting proteins from protein sequence information by exploiting weighted sparse representation based classifier. BMC Bioinform. 23-S(7): 518 (2022) - [j89]Xiangyu Pan, Lun Hu, Pengwei Hu, Zhu-Hong You:
Identifying Protein Complexes From Protein-Protein Interaction Networks Based on Fuzzy Clustering and GO Semantic Information. IEEE ACM Trans. Comput. Biol. Bioinform. 19(5): 2882-2893 (2022) - [j88]Lei Wang, Leon Wong, Zhu-Hong You, De-Shuang Huang, Xiao-Rui Su, Bo-Wei Zhao:
NSECDA: Natural Semantic Enhancement for CircRNA-Disease Association Prediction. IEEE J. Biomed. Health Informatics 26(10): 5075-5084 (2022) - [c66]Yang Li, Xue-Gang Hu, Pei-Pei Li, Lei Wang, Zhu-Hong You:
Predicting circRNA-disease associations using similarity assessing graph convolution from multi-source information networks. BIBM 2022: 94-101 - [c65]Menglong Zhang, Bo-Wei Zhao, Lun Hu, Zhu-Hong You, Zhan-Heng Chen:
Predicting Drug-Disease Associations via Meta-path Representation Learning based on Heterogeneous Information Net works. ICIC (2) 2022: 220-232 - [c64]Ji-Ren Zhou, Zhuhong You, Xuequn Shang, Rui Niu, Yue Yun:
Identification of miRNA-lncRNA Underlying Interactions Through Representation for Multiplex Heterogeneous Network. ICIC (2) 2022: 270-277 - [c63]Bo-Wei Zhao, Lun Hu, Pengwei Hu, Zhu-Hong You, Xiao-Rui Su, Dong-Xu Li, Zhan-Heng Chen, Ping Zhang:
MRLDTI: A Meta-path-Based Representation Learning Model for Drug-Target Interaction Prediction. ICIC (2) 2022: 451-459 - 2021
- [j87]Lei Wang, Zhu-Hong You, Xi Zhou, Xin Yan, Hao-Yuan Li, Yu-An Huang:
NMFCDA: Combining randomization-based neural network with non-negative matrix factorization for predicting CircRNA-disease association. Appl. Soft Comput. 110: 107629 (2021) - [j86]Xiao-Rui Su, Zhuhong You, Lei Wang, Lun Hu, Leon Wong, Boya Ji, Bo-Wei Zhao:
SANE: A sequence combined attentive network embedding model for COVID-19 drug repositioning. Appl. Soft Comput. 111: 107831 (2021) - [j85]Zhen-Hao Guo, Zhu-Hong You, De-Shuang Huang, Hai-Cheng Yi, Kai Zheng, Zhan-Heng Chen, Yan-Bin Wang:
MeSHHeading2vec: a new method for representing MeSH headings as vectors based on graph embedding algorithm. Briefings Bioinform. 22(2): 2085-2095 (2021) - [j84]Yu-An Huang, Keith C. C. Chan, Zhu-Hong You, Pengwei Hu, Lei Wang, Zhi-An Huang:
Predicting microRNA-disease associations from lncRNA-microRNA interactions via Multiview Multitask Learning. Briefings Bioinform. 22(3) (2021) - [j83]Zhengwei Li, Jiashu Li, Ru Nie, Zhu-Hong You, Wenzheng Bao:
A graph auto-encoder model for miRNA-disease associations prediction. Briefings Bioinform. 22(4) (2021) - [j82]Lun Hu, Xiaojuan Wang, Yu-An Huang, Pengwei Hu, Zhu-Hong You:
A survey on computational models for predicting protein-protein interactions. Briefings Bioinform. 22(5) (2021) - [j81]Lei Wang, Xin Yan, Zhu-Hong You, Xi Zhou, Hao-Yuan Li, Yu-An Huang:
SGANRDA: semi-supervised generative adversarial networks for predicting circRNA-disease associations. Briefings Bioinform. 22(5) (2021) - [j80]Lun Hu, Jun Zhang, Xiangyu Pan, Hong Yan, Zhu-Hong You:
HiSCF: leveraging higher-order structures for clustering analysis in biological networks. Bioinform. 37(4): 542-550 (2021) - [j79]Hai-Cheng Yi, Zhu-Hong You, Lei Wang, Xiao-Rui Su, Xi Zhou, Tong-Hai Jiang:
In silico drug repositioning using deep learning and comprehensive similarity measures. BMC Bioinform. 22-S(3): 293 (2021) - [j78]Zhen-Hao Guo, Zhan-Heng Chen, Zhu-Hong You, Yan-Bin Wang, Hai-Cheng Yi, Mei-Neng Wang:
A learning-based method to predict LncRNA-disease associations by combining CNN and ELM. BMC Bioinform. 22-S(5): 622 (2021) - [j77]Yang Li, Xiaozhang Liu, Zhu-Hong You, Li-Ping Li, Jian-Xin Guo, Zheng Wang:
A computational approach for predicting drug-target interactions from protein sequence and drug substructure fingerprint information. Int. J. Intell. Syst. 36(1): 593-609 (2021) - [j76]Mei-Neng Wang, Zhu-Hong You, Lei Wang, Li-Ping Li, Kai Zheng:
LDGRNMF: LncRNA-disease associations prediction based on graph regularized non-negative matrix factorization. Neurocomputing 424: 236-245 (2021) - [j75]Ru Nie, Zhengwei Li, Zhu-Hong You, Wenzheng Bao, Jiashu Li:
Efficient framework for predicting MiRNA-disease associations based on improved hybrid collaborative filtering. BMC Medical Informatics Decis. Mak. 21-S(1): 254 (2021) - [j74]Pengwei Hu, Yuan Huang, Jing Mei, Henry Leung, Zhanheng Chen, Ze-min Kuang, Zhu-Hong You, Lun Hu:
Learning from low-rank multimodal representations for predicting disease-drug associations. BMC Medical Informatics Decis. Mak. 21(1): 308 (2021) - [j73]Jie Pan, Li-Ping Li, Changqing Yu, Zhu-Hong You, Zhong-Hao Ren, Jing-Yu Tang:
FWHT-RF: A Novel Computational Approach to Predict Plant Protein-Protein Interactions via an Ensemble Learning Method. Sci. Program. 2021: 1607946:1-1607946:11 (2021) - [j72]Zheng Wang, Yang Li, Li-Ping Li, Zhu-Hong You, Wenzhun Huang:
Self-Interacting Proteins Prediction from PSSM Based on Evolutionary Information. Sci. Program. 2021: 6677758:1-6677758:10 (2021) - [j71]Kai Zheng, Zhu-Hong You, Lei Wang, Yi-Ran Li, Ji-Ren Zhou, Haitao Zeng:
MISSIM: An Incremental Learning-Based Model With Applications to the Prediction of miRNA-Disease Association. IEEE ACM Trans. Comput. Biol. Bioinform. 18(5): 1733-1742 (2021) - [j70]Hai-Cheng Yi, Zhu-Hong You, Zhen-Hao Guo, De-Shuang Huang, Keith C. C. Chan:
Learning Representation of Molecules in Association Network for Predicting Intermolecular Associations. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2546-2554 (2021) - [j69]Lijia Ma, Shiqiang Wang, Qiuzhen Lin, Jianqiang Li, Zhuhong You, Jiaxiang Huang, Maoguo Gong:
Multi-Neighborhood Learning for Global Alignment in Biological Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2598-2611 (2021) - [j68]Lei Wang, Zhu-Hong You, Jian-Qiang Li, Yu-An Huang:
IMS-CDA: Prediction of CircRNA-Disease Associations From the Integration of Multisource Similarity Information With Deep Stacked Autoencoder Model. IEEE Trans. Cybern. 51(11): 5522-5531 (2021) - [j67]Huijuan Zhu, Yang Li, Ruidong Li, Jianqiang Li, Zhuhong You, Houbing Song:
SEDMDroid: An Enhanced Stacking Ensemble Framework for Android Malware Detection. IEEE Trans. Netw. Sci. Eng. 8(2): 984-994 (2021) - [c62]Bo-Ya Ji, Zhu-Hong You, Lei Wang, Leon Wong, Xiao-Rui Su, Bo-Wei Zhao:
Predicting miRNA-Disease Associations via a New MeSH Headings Representation of Diseases and eXtreme Gradient Boosting. ICIC (3) 2021: 49-56 - [c61]Jie Pan, Changqing Yu, Liping Li, Zhuhong You, Zhong-Hao Ren, Yao Chen, Yongjian Guan:
Computational Prediction of Protein-Protein Interactions in Plants Using Only Sequence Information. ICIC (1) 2021: 115-125 - [c60]Xiao-Rui Su, Zhu-Hong You, Hai-Cheng Yi, Bo-Wei Zhao:
Detection of Drug-Drug Interactions Through Knowledge Graph Integrating Multi-attention with Capsule Network. ICIC (3) 2021: 423-432 - [c59]Mei-Neng Wang, Xue-Jun Xie, Zhuhong You, Leon Wong, Liping Li, Zhan-Heng Chen:
Weighted Nonnegative Matrix Factorization Based on Multi-source Fusion Information for Predicting CircRNA-Disease Associations. ICIC (3) 2021: 467-477 - [c58]Xin Yan, Zhu-Hong You, Lei Wang, Peng-Peng Chen:
CNNEMS: Using Convolutional Neural Networks to Predict Drug-Target Interactions by Combining Protein Evolution and Molecular Structures Information. ICIC (3) 2021: 570-579 - [c57]Bo-Wei Zhao, Zhu-Hong You, Lun Hu, Leon Wong, Bo-Ya Ji, Ping Zhang:
A Multi-graph Deep Learning Model for Predicting Drug-Disease Associations. ICIC (3) 2021: 580-590 - [c56]Xiao-Rui Su, Zhu-Hong You, Zhan-Heng Chen, Hai-Cheng Yi, Zhen-Hao Guo:
Protein-Protein Interaction Prediction by Integrating Sequence Information and Heterogeneous Network Representation. ICIC (3) 2021: 617-626 - 2020
- [j66]