Zhu-Hong You

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 147

Top Venues

ICIC (2)

Briefings Bioinform.

ICIC (3)

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

Yu Li, Zhu-Hong You, Shu-Min Wang, Chenggang 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 (2024)
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) (2024)
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) (2024)
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) (2024)
Bo-Wei Zhao, Lei Wang, Peng-Wei 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) (2024)
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) (2024)
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) (2024)
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) (2024)
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 (2024)
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)
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 (2024)
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)
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)
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) (2024)
Lei Wang, Zhu-Hong You, De-Shuang Huang, Jianqiang Li
MGRCDA: Metagraph Recommendation Method for Predicting CircRNA-Disease Association. IEEE Trans. Cybern. 53 (1) (2023)
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)
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) (2023)
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)
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) (2023)
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 (2023)
Yue-Chao Li, Zhu-Hong You, Changqing Yu, Lei Wang, Leon Wong, Lun Hu, Peng-Wei Hu, Yu-An Huang
PPAEDTI: Personalized Propagation Auto-Encoder Model for Predicting Drug-Target Interactions. IEEE J. Biomed. Health Informatics 27 (1) (2023)
Kangwei Wang, Zhengwei Li, Zhu-Hong You, Pengyong Han, Ru Nie
Adversarial dense graph convolutional networks for single-cell classification. Bioinform. 39 (2) (2023)
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)
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) (2023)
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)
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)
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) (2023)
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)
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) (2023)
Xun Deng, Lun Hu, Zhu-Hong You, Peng-Wei Hu
CAMPEOD: A Cross Attention-Based Multi-Scale Patch Embedding Organoid Detection Model. BIBM (2023)
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)
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)
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)
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)
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)
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)
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) (2022)
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)
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)
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. (7) (2022)
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)
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)
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)
Kai Zheng, Xin-Lu Zhang, Lei Wang, Zhu-Hong You, Zhao-Hui Zhan, Hao-Yuan Li
Line graph attention networks for predicting disease-associated Piwi-interacting RNAs. Briefings Bioinform. 23 (6) (2022)
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) (2022)
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) (2022)
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)
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)
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)
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 (2021)
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. (3) (2021)
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)
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)
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) (2021)
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) (2021)
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 (2021)
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) (2021)
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)
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) (2021)
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)
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) (2021)
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)
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. (1) (2021)
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)
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 (2021)
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 (2021)
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) (2021)
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. (5) (2021)
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) (2021)
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)
Lei Wang, Zhu-Hong You, Xin Yan, Kai Zheng, Zheng-Wei Li
GCNSP: A Novel Prediction Method of Self-Interacting Proteins Based on Graph Convolutional Networks. ICIC (2) (2020)
Bo-Ya Ji, Zhu-Hong You, Long Yang, Ji-Ren Zhou, Pengwei Hu
A MapReduce-Based Parallel Random Forest Approach for Predicting Large-Scale Protein-Protein Interactions. ICIC (3) (2020)
Lun Hu, Pengwei Hu, Xin Luo, Xiaohui Yuan, Zhu-Hong You
Incorporating the Coevolving Information of Substrates in Predicting HIV-1 Protease Cleavage Sites. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (6) (2020)
Zhi-An Huang, Yu-An Huang, Zhu-Hong You, Shanwen Zhang, Changqing Yu, Wenzhun Huang
Identification of Autistic Risk Genes Using Developmental Brain Gene Expression Data. ICIC (2) (2020)
Han-Jing Jiang, Zhu-Hong You, Lun Hu, Zhen-Hao Guo, Bo-Ya Ji, Leon Wong
A Highly Efficient Biomolecular Network Representation Model for Predicting Drug-Disease Associations. ICIC (3) (2020)
Lei Wang, Zhu-Hong You, Yang-Ming Li, Kai Zheng, Yu-An Huang
GCNCDA: A new method for predicting circRNA-disease associations based on Graph Convolutional Network Algorithm. PLoS Comput. Biol. 16 (5) (2020)
Zhen-Hao Guo, Zhu-Hong You, Li-Ping Li, Zhan-Heng Chen, Hai-Cheng Yi, Yan-Bin Wang
Inferring Drug-miRNA Associations by Integrating Drug SMILES and MiRNA Sequence Information. ICIC (2) (2020)
Bo-Wei Zhao, Ping Zhang, Zhu-Hong You, Ji-Ren Zhou, Xiao Li
Predicting LncRNA-miRNA Interactions via Network Embedding with Integrated Structure and Attribute Information. ICIC (2) (2020)
Kai Zheng, Zhu-Hong You, Lei Wang, Hao-Yuan Li, Bo-Ya Ji
Predicting Human Disease-Associated piRNAs Based on Multi-source Information and Random Forest. ICIC (2) (2020)
Yu-An Huang, Pengwei Hu, Keith C. C. Chan, Zhu-Hong You
Graph convolution for predicting associations between miRNA and drug resistance. Bioinform. 36 (3) (2020)
Lei Wang, Zhu-Hong You, Yu-An Huang, De-Shuang Huang, Keith C. C. Chan
An efficient approach based on multi-sources information to predict circRNA-disease associations using deep convolutional neural network. Bioinform. 36 (13) (2020)
Pengwei Hu, Yu-An Huang, Keith C. C. Chan, Zhu-Hong You
Learning Multimodal Networks From Heterogeneous Data for Prediction of lncRNA-miRNA Interactions. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (5) (2020)
Xiao-Rui Su, Zhu-Hong You, Ji-Ren Zhou, Hai-Cheng Yi, Xiao Li
A Novel Computational Approach for Predicting Drug-Target Interactions via Network Representation Learning. ICIC (2) (2020)
Hai-Cheng Yi, Zhu-Hong You, Xiao-Rui Su, De-Shuang Huang, Zhen-Hao Guo
A Unified Deep Biological Sequence Representation Learning with Pretrained Encoder-Decoder Model. ICIC (2) (2020)
Ping Zhang, Bo-Wei Zhao, Leon Wong, Zhu-Hong You, Zhen-Hao Guo, Hai-Cheng Yi
A Novel Computational Method for Predicting LncRNA-Disease Associations from Heterogeneous Information Network with SDNE Embedding Model. ICIC (2) (2020)
Bo-Ya Ji, Zhu-Hong You, Zhan-Heng Chen, Leon Wong, Hai-Cheng Yi
NEMPD: a network embedding-based method for predicting miRNA-disease associations by preserving behavior and attribute information. BMC Bioinform. 21 (1) (2020)
Kai Zheng, Zhu-Hong You, Lei Wang, Leon Wong, Zhan-Heng Chen
Inferring Disease-Associated Piwi-Interacting RNAs via Graph Attention Networks. ICIC (2) (2020)
Xin Yan, Lei Wang, Zhu-Hong You, Li-Ping Li, Kai Zheng
GANCDA: a novel method for predicting circRNA-disease associations based on deep generative adversarial network. Int. J. Data Min. Bioinform. 23 (3) (2020)
Zhan-Heng Chen, Zhu-Hong You, Zhen-Hao Guo, Hai-Cheng Yi, Gong-Xu Luo, Yan-Bin Wang
Predicting Drug-Target Interactions by Node2vec Node Embedding in Molecular Associations Network. ICIC (2) (2020)
Lei Wang, Zhu-Hong You, De-Shuang Huang, Fengfeng Zhou
Combining High Speed ELM Learning with a Deep Convolutional Neural Network Feature Encoding for Predicting Protein-RNA Interactions. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (3) (2020)
Leon Wong, Zhu-Hong You, Yu-An Huang, Xi Zhou, Mei-Yuan Cao
A Gaussian Kernel Similarity-Based Linear Optimization Model for Predicting miRNA-lncRNA Interactions. ICIC (2) (2020)
Hao-Yuan Li, Zhu-Hong You, Zheng-Wei Li, Ji-Ren Zhou, Pengwei Hu
A Network Embedding-Based Method for Predicting miRNA-Disease Associations by Integrating Multiple Information. ICIC (3) (2020)
Xin Yan, Zhu-Hong You, Lei Wang, Li-Ping Li, Kai Zheng, Mei-Neng Wang
DTIFS: A Novel Computational Approach for Predicting Drug-Target Interactions from Drug Structure and Protein Sequence. ICIC (2) (2020)
Hai-Cheng Yi, Zhu-Hong You, Mei-Neng Wang, Zhen-Hao Guo, Yan-Bin Wang, Ji-Ren Zhou
RPI-SE: a stacking ensemble learning framework for ncRNA-protein interactions prediction using sequence information. BMC Bioinform. 21 (1) (2020)
Jianqiang Li, Xiaofeng Shi, Zhu-Hong You, Hai-Cheng Yi, Zhuangzhuang Chen, Qiuzhen Lin, Min Fang
Using Weighted Extreme Learning Machine Combined With Scale-Invariant Feature Transform to Predict Protein-Protein Interactions From Protein Evolutionary Information. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (5) (2020)
Kai Zheng, Zhu-Hong You, Jian-Qiang Li, Lei Wang, Zhen-Hao Guo, Yu-An Huang
iCDA-CGR: Identification of circRNA-disease associations based on Chaos Game Representation. PLoS Comput. Biol. 16 (5) (2020)
Xinke Zhan, Zhu-Hong You, Jinfan Cai, Liping Li, Changqing Yu, Jie Pan, Jiangkun Kong
Prediction of Drug-Target Interactions by Ensemble Learning Method From Protein Sequence and Drug Fingerprint. IEEE Access 8 (2020)
Ji-Ren Zhou, Zhu-Hong You, Li Cheng, Xi Zhou, Hao-Yuan Li
Prediction of lncRNA-miRNA Interactions via an Embedding Learning Graph Factorize Over Heterogeneous Information Network. ICIC (2) (2020)
Xiao-Yu Song, Tong Liu, Ze-Yang Qiu, Zhu-Hong You, Yue Sun, Li-Ting Jin, Xiao-Bei Feng, Lin Zhu
Prediction of lncRNA-Disease Associations from Heterogeneous Information Network Based on DeepWalk Embedding Model. ICIC (3) (2020)
Mei-Neng Wang, Zhu-Hong You, Li-Ping Li, Zhan-Heng Chen, Xue-Jun Xie
WGMFDDA: A Novel Weighted-Based Graph Regularized Matrix Factorization for Predicting Drug-Disease Associations. ICIC (3) (2020)

Zhu-Hong You.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Zhu-Hong You