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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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Journal Articles
- 2024
[j129]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)- [j128]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) - [j127]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) - [j126]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): 163-176 (2024) - [j125]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) - [j124]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) - 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, Peng-Wei 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) - 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) - 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) - 2020
- [j66]Mei-Neng Wang, Zhu-Hong You, Li-Ping Li, Leon Wong, Zhan-Heng Chen, Chengzhi Gan:
GNMFLMI: Graph Regularized Nonnegative Matrix Factorization for Predicting LncRNA-MiRNA Interactions. IEEE Access 8: 37578-37588 (2020) - [j65]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: 185465-185476 (2020) - [j64]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): 851-858 (2020) - [j63]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): 4038-4046 (2020) - [j62]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): 60 (2020) - [j61]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): 401 (2020) - [j60]Yanbin Wang, Zhuhong You, Liping Li, Zhan-Heng Chen:
A survey of current trends in computational predictions of protein-protein interactions. Frontiers Comput. Sci. 14(4): 144901 (2020) - [j59]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): 265-283 (2020) - [j58]Yan-Bin Wang, Zhu-Hong You, Shan Yang, Hai-Cheng Yi, Zhan-Heng Chen, Kai Zheng:
A deep learning-based method for drug-target interaction prediction based on long short-term memory neural network. BMC Medical Informatics Decis. Mak. 20-S(2): 49 (2020) - [j57]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) - [j56]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) - [j55]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): 972-980 (2020) - [j54]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): 1516-1524 (2020) - [j53]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): 1546-1554 (2020) - [j52]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): 2017-2028 (2020) - [j51]Lijia Ma, Xiaopeng Huang, Jianqiang Li, Qiuzhen Lin, Zhuhong You, Maoguo Gong, Victor C. M. Leung:
Privacy-Preserving Global Structural Balance Computation in Signed Networks. IEEE Trans. Comput. Soc. Syst. 7(1): 164-177 (2020) - 2019
- [j50]Hui-Juan Zhu, Zhu-Hong You, Wei-Lei Shi, Shoukun Xu, Tong-Hai Jiang, Li-Hua Zhuang:
Improved Prediction of Protein-Protein Interactions Using Descriptors Derived From PSSM via Gray Level Co-Occurrence Matrix. IEEE Access 7: 49456-49465 (2019) - [j49]Kai Zheng, Lei Wang, Zhu-Hong You:
CGMDA: An Approach to Predict and Validate MicroRNA-Disease Associations by Utilizing Chaos Game Representation and LightGBM. IEEE Access 7: 133314-133323 (2019) - [j48]Xing Chen, Di Xie, Qi Zhao, Zhu-Hong You:
MicroRNAs and complex diseases: from experimental results to computational models. Briefings Bioinform. 20(2): 515-539 (2019) - [j47]Zhengwei Li, Ru Nie, Zhuhong You, Chen Cao, Jiashu Li:
Using discriminative vector machine model with 2DPCA to predict interactions among proteins. BMC Bioinform. 20-S(25): 694 (2019) - [j46]Shanwen Zhang, Zhuhong You, Xiaowei Wu:
Plant disease leaf image segmentation based on superpixel clustering and EM algorithm. Neural Comput. Appl. 31(S-2): 1225-1232 (2019) - [j45]Lei Wang, Zhu-Hong You, Xing Chen, Yang-Ming Li, Ya-Nan Dong, Li-Ping Li, Kai Zheng:
LMTRDA: Using logistic model tree to predict MiRNA-disease associations by fusing multi-source information of sequences and similarities. PLoS Comput. Biol. 15(3) (2019) - [j44]Zhu-Hong You, Wenzhun Huang, Shanwen Zhang, Yu-An Huang, Changqing Yu, Li-Ping Li:
An Efficient Ensemble Learning Approach for Predicting Protein-Protein Interactions by Integrating Protein Primary Sequence and Evolutionary Information. IEEE ACM Trans. Comput. Biol. Bioinform. 16(3): 809-817 (2019) - [j43]Jianqiang Li, Shulan Wang, Yuan Li, Haiyan Wang, Huiwen Wang, Huihui Wang, Jianyong Chen, Zhuhong You:
An Efficient Attribute-Based Encryption Scheme With Policy Update and File Update in Cloud Computing. IEEE Trans. Ind. Informatics 15(12): 6500-6509 (2019) - [j42]Haijun Lei, Yuting Wen, Zhuhong You, Ahmed El-Azab, Ee-Leng Tan, Yujia Zhao, Baiying Lei:
Protein-Protein Interactions Prediction via Multimodal Deep Polynomial Network and Regularized Extreme Learning Machine. IEEE J. Biomed. Health Informatics 23(3): 1290-1303 (2019) - 2018
- [j41]Yu-An Huang, Keith C. C. Chan, Zhu-Hong You:
Constructing prediction models from expression profiles for large scale lncRNA-miRNA interaction profiling. Bioinform. 34(5): 812-819 (2018) - [j40]Xing Chen, Yu-An Huang, Zhu-Hong You, Guiying Yan, Xuesong Wang:
A novel approach based on KATZ measure to predict associations of human microbiota with non-infectious diseases. Bioinform. 34(8): 1440 (2018) - [j39]Xing Chen, Di Xie, Lei Wang, Qi Zhao, Zhu-Hong You, Hongsheng Liu:
BNPMDA: Bipartite Network Projection for MiRNA-Disease Association prediction. Bioinform. 34(18): 3178-3186 (2018) - [j38]Yan-Bin Wang, Zhu-Hong You, Xiao Li, Tong-Hai Jiang, Li Cheng, Zhan-Heng Chen:
Prediction of protein self-interactions using stacked long short-term memory from protein sequences information. BMC Syst. Biol. 12(8): 129 (2018) - [j37]Yanbin Wang, Zhuhong You, Liping Li, Li Cheng, Xi Zhou, Libo Zhang, Xiao Li, Tonghai Jiang:
Predicting Protein Interactions Using a Deep Learning Method-Stacked Sparse Autoencoder Combined with a Probabilistic Classification Vector Machine. Complex. 2018: 4216813:1-4216813:12 (2018) - [j36]Hui-Juan Zhu, Zhu-Hong You, Zexuan Zhu, Wei-Lei Shi, Xing Chen, Li Cheng:
DroidDet: Effective and robust detection of android malware using static analysis along with rotation forest model. Neurocomputing 272: 638-646 (2018) - [j35]Lei Wang, Zhu-Hong You, Xing Chen, Shixiong Xia, Feng Liu, Xin Yan, Yong Zhou, Kejian Song:
A Computational-Based Method for Predicting Drug-Target Interactions by Using Stacked Autoencoder Deep Neural Network. J. Comput. Biol. 25(3): 361-373 (2018) - [j34]Hui-Juan Zhu, Tonghai Jiang, Bo Ma, Zhu-Hong You, Wei-Lei Shi, Li Cheng:
HEMD: a highly efficient random forest-based malware detection framework for Android. Neural Comput. Appl. 30(11): 3353-3361 (2018) - [j33]Lei Wang, Zhu-Hong You, Shixiong Xia, Xing Chen, Xin Yan, Yong Zhou, Feng Liu:
An improved efficient rotation forest algorithm to predict the interactions among proteins. Soft Comput. 22(10): 3373-3381 (2018) - [j32]Xin Luo, MengChu Zhou, Shuai Li, Yunni Xia, Zhu-Hong You, Qingsheng Zhu, Hareton Leung:
Incorporation of Efficient Second-Order Solvers Into Latent Factor Models for Accurate Prediction of Missing QoS Data. IEEE Trans. Cybern. 48(4): 1216-1228 (2018) - 2017
- [j31]Xing Chen, Chenggang Clarence Yan, Xu Zhang, Zhu-Hong You:
Long non-coding RNAs and complex diseases: from experimental results to computational models. Briefings Bioinform. 18(4): 558-576 (2017) - [j30]Xing Chen, Ya-Zhou Sun, De-Hong Zhang, Jian-Qiang Li, Guiying Yan, Ji-Yong An, Zhu-Hong You:
NRDTD: a database for clinically or experimentally supported non-coding RNAs and drug targets associations. Database J. Biol. Databases Curation 2017: bax057 (2017) - [j29]Xing Chen, Yu-An Huang, Zhu-Hong You, Guiying Yan, Xuesong Wang:
A novel approach based on KATZ measure to predict associations of human microbiota with non-infectious diseases. Bioinform. 33(5): 733-739 (2017) - [j28]Shanwen Zhang, Xiaowei Wu, Zhuhong You, Liqing Zhang:
Leaf image based cucumber disease recognition using sparse representation classification. Comput. Electron. Agric. 134: 135-141 (2017) - [j27]Shanwen Zhang, Yihai Zhu, Zhuhong You, Xiaowei Wu:
Fusion of superpixel, expectation maximization and PHOG for recognizing cucumber diseases. Comput. Electron. Agric. 140: 338-347 (2017) - [j26]Shanwen Zhang, Chuanlei Zhang, Yihai Zhu, Zhuhong You:
Discriminant WSRC for Large-Scale Plant Species Recognition. Comput. Intell. Neurosci. 2017: 9581292:1-9581292:10 (2017) - [j25]Zhu-Hong You, Xiao Li, Keith C. C. Chan:
An improved sequence-based prediction protocol for protein-protein interactions using amino acids substitution matrix and rotation forest ensemble classifiers. Neurocomputing 228: 277-282 (2017) - [j24]Zhu-Hong You, Zhi-an Huang, Zexuan Zhu, Guiying Yan, Zheng-Wei Li, Zhenkun Wen, Xing Chen:
PBMDA: A novel and effective path-based computational model for miRNA-disease association prediction. PLoS Comput. Biol. 13(3) (2017) - [j23]Shuai Li, MengChu Zhou, Xin Luo, Zhu-Hong You:
Distributed Winner-Take-All in Dynamic Networks. IEEE Trans. Autom. Control. 62(2): 577-589 (2017) - [j22]Lin Zhu, Suping Deng, Zhu-Hong You, De-Shuang Huang:
Identifying Spurious Interactions in the Protein-Protein Interaction Networks Using Local Similarity Preserving Embedding. IEEE ACM Trans. Comput. Biol. Bioinform. 14(2): 345-352 (2017) - [j21]Jian-Qiang Li, Zhu-Hong You, Xiao Li, Zhong Ming, Xing Chen:
PSPEL: In Silico Prediction of Self-Interacting Proteins from Amino Acids Sequences Using Ensemble Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 14(5): 1165-1172 (2017) - [j20]Zhu-Hong You, MengChu Zhou, Xin Luo, Shuai Li:
Highly Efficient Framework for Predicting Interactions Between Proteins. IEEE Trans. Cybern. 47(3): 731-743 (2017) - 2016
- [j19]Yu-An Huang, Zhu-Hong You, Xing Chen, Keith C. C. Chan, Xin Luo:
Sequence-based prediction of protein-protein interactions using weighted sparse representation model combined with global encoding. BMC Bioinform. 17: 184 (2016) - [j18]Yu-An Huang, Zhu-Hong You, Xing Chen, Guiying Yan:
Improved protein-protein interactions prediction via weighted sparse representation model combining continuous wavelet descriptor and PseAA composition. BMC Syst. Biol. 10(4): 485-494 (2016) - [j17]Yu-An Huang, Zhu-Hong You, Xiao Li, Xing Chen, Pengwei Hu, Shuai Li, Xin Luo:
Construction of reliable protein-protein interaction networks using weighted sparse representation based classifier with pseudo substitution matrix representation features. Neurocomputing 218: 131-138 (2016) - [j16]Xin Luo, MengChu Zhou, Hareton Leung, Yunni Xia, Qingsheng Zhu, Zhu-Hong You, Shuai Li:
An Incremental-and-Static-Combined Scheme for Matrix-Factorization-Based Collaborative Filtering. IEEE Trans Autom. Sci. Eng. 13(1): 333-343 (2016) - [j15]Shuai Li, Zhu-Hong You, Hongliang Guo, Xin Luo, Zhong-Qiu Zhao:
Inverse-Free Extreme Learning Machine With Optimal Information Updating. IEEE Trans. Cybern. 46(5): 1229-1241 (2016) - [j14]Xin Luo, MengChu Zhou, Shuai Li, Zhu-Hong You, Yunni Xia, Qingsheng Zhu:
A Nonnegative Latent Factor Model for Large-Scale Sparse Matrices in Recommender Systems via Alternating Direction Method. IEEE Trans. Neural Networks Learn. Syst. 27(3): 579-592 (2016) - 2015
- [j13]Xin Luo, Zhong Ming, Zhuhong You, Shuai Li, Yunni Xia, Hareton Leung:
Improving network topology-based protein interactome mapping via collaborative filtering. Knowl. Based Syst. 90: 23-32 (2015) - [j12]Xin Luo, Mengchu Zhou, Shuai Li, Yunni Xia, Zhuhong You, Qingsheng Zhu, Hareton Leung:
An Efficient Second-Order Approach to Factorize Sparse Matrices in Recommender Systems. IEEE Trans. Ind. Informatics 11(4): 946-956 (2015) - 2014
- [j11]Zhu-Hong You, Lin Zhu, Chun-Hou Zheng, Hongjie Yu, Suping Deng, Zhen Ji:
Prediction of protein-protein interactions from amino acid sequences using a novel multi-scale continuous and discontinuous feature set. BMC Bioinform. 15(S-15): S9 (2014) - [j10]Ying-Ke Lei, Ji-Wei Zou, Tianbao Dong, Zhu-Hong You, Yuan Yuan, Yihua Hu:
Orthogonal locally discriminant spline embedding for plant leaf recognition. Comput. Vis. Image Underst. 119: 116-126 (2014) - [j9]Zhiwei Ji, Bing Wang, Suping Deng, Zhuhong You:
Predicting dynamic deformation of retaining structure by LSSVR-based time series method. Neurocomputing 137: 165-172 (2014) - [j8]Zhu-Hong You, Jian-Zhong Yu, Lin Zhu, Shuai Li, Zhenkun Wen:
A MapReduce based parallel SVM for large-scale predicting protein-protein interactions. Neurocomputing 145: 37-43 (2014) - 2013
- [j7]Zhu-Hong You, Ying-Ke Lei, Lin Zhu, Junfeng Xia, Bing Wang:
Prediction of protein-protein interactions from amino acid sequences with ensemble extreme learning machines and principal component analysis. BMC Bioinform. 14(S-8): S10 (2013) - [j6]Lin Zhu, Zhu-Hong You, De-Shuang Huang:
Increasing the reliability of protein-protein interaction networks via non-convex semantic embedding. Neurocomputing 121: 99-107 (2013) - [j5]Ying-Ke Lei, Zhu-Hong You, Tianbao Dong, Yun-Xiao Jiang, Jun-An Yang:
Increasing reliability of protein interactome by fast manifold embedding. Pattern Recognit. Lett. 34(4): 372-379 (2013) - 2012
- [j4]Ying-Ke Lei, Zhuhong You, Zhen Ji, Lin Zhu, De-Shuang Huang:
Assessing and predicting protein interactions by combining manifold embedding with multiple information integration. BMC Bioinform. 13(S-7): S3 (2012) - 2010
- [j3]Zhuhong You, Ying-Ke Lei, Jie Gui, De-Shuang Huang, Xiaobo Zhou:
Using manifold embedding for assessing and predicting protein interactions from high-throughput experimental data. Bioinform. 26(21): 2744-2751 (2010) - [j2]Zhuhong You, Zheng Yin, Kyungsook Han, De-Shuang Huang, Xiaobo Zhou:
A semi-supervised learning approach to predict synthetic genetic interactions by combining functional and topological properties of functional gene network. BMC Bioinform. 11: 343 (2010) - 2007
- [j1]Wanming Chen, Huawei Liang, Tao Mei, Zhuhong You, Shifu Miao, Shuai Li, Yajin Zhou, Max Q.-H. Meng:
Design and Implementation of Wireless Sensor Network for Robot Navigation. Int. J. Inf. Acquis. 4(1): 77-89 (2007)
Conference and Workshop Papers
- 2024
- [c73]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 - 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
- [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
- [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
- [c55]Xiao-Rui Su, Zhuhong You, Hai-Cheng Yi:
Prediction of LncRNA-Disease Associations Based on Network Representation Learning. BIBM 2020: 1805-1812 - [c54]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: 109-120 - [c53]Xinke Zhan, Zhuhong You, Changqing Yu, Jie Pan, Ruiyang Li:
Predicting Protein-Protein Interactions from Protein Sequence Using Locality Preserving Projections and Rotation Forest. ICIC (2) 2020: 121-131 - [c52]Jie Pan, Zhuhong You, Changqing Yu, Li-Ping Li, Xinke Zhan:
Predicting Protein-Protein Interactions from Protein Sequence Information Using Dual-Tree Complex Wavelet Transform. ICIC (2) 2020: 132-142 - [c51]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: 227-238 - [c50]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: 239-250 - [c49]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: 270-278 - [c48]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: 271-279 - [c47]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: 279-289 - [c46]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: 291-300 - [c45]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: 316-325 - [c44]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: 326-338 - [c43]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: 339-347 - [c42]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: 348-358 - [c41]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: 367-377 - [c40]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: 371-383 - [c39]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: 400-407 - [c38]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: 481-492 - [c37]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: 493-501 - [c36]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: 505-513 - [c35]Zefang Tang, Lun Hu, Xu Min, Yuan Zhang, Jing Mei, Kenney Ng, Shaochun Li, Pengwei Hu, Zhuhong You:
Embracing Disease Progression with a Learning System for Real World Evidence Discovery. ICIC (2) 2020: 524-534 - [c34]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: 542-551 - 2019
- [c33]Lei Wang, Zhu-Hong You, Li-Ping Li, Kai Zheng, Yan-Bin Wang:
Predicting circRNA-disease associations using deep generative adversarial network based on multi-source fusion information. BIBM 2019: 145-152 - [c32]Yu-An Huang, Zhi-An Huang, Zhu-Hong You, Pengwei Hu, Li-Ping Li, Zheng-Wei Li, Lei Wang:
Precise Prediction of Pathogenic Microorganisms Using 16S rRNA Gene Sequences. ICIC (2) 2019: 138-150 - [c31]Pengwei Hu, Yu-An Huang, Zhuhong You, Shaochun Li, Keith C. C. Chan, Henry Leung, Lun Hu:
Learning from Deep Representations of Multiple Networks for Predicting Drug-Target Interactions. ICIC (2) 2019: 151-161 - [c30]Zhan-Heng Chen, Zhu-Hong You, Li-Ping Li, Zhen-Hao Guo, Pengwei Hu, Han-Jing Jiang:
Combining LSTM Network Model and Wavelet Transform for Predicting Self-interacting Proteins. ICIC (1) 2019: 166-174 - [c29]Zhengwei Li, Ru Nie, Zhuhong You, Yan Zhao, Xin Ge, Yang Wang:
LRMDA: Using Logistic Regression and Random Walk with Restart for MiRNA-Disease Association Prediction. ICIC (2) 2019: 283-293 - [c28]Hai-Cheng Yi, Zhu-Hong You, Yan-Bin Wang, Zhan-Heng Chen, Zhen-Hao Guo, Hui-Juan Zhu:
In Silico Identification of Anticancer Peptides with Stacking Heterogeneous Ensemble Learning Model and Sequence Information. ICIC (2) 2019: 313-323 - [c27]Tao Wang, Hai-Cheng Yi, Zhu-Hong You, Li-Ping Li, Yan-Bin Wang, Lun Hu, Leon Wong:
A Gated Recurrent Unit Model for Drug Repositioning by Combining Comprehensive Similarity Measures and Gaussian Interaction Profile Kernel. ICIC (2) 2019: 344-353 - [c26]Han-Jing Jiang, Zhu-Hong You, Kai Zheng, Zhan-Heng Chen:
Predicting of Drug-Disease Associations via Sparse Auto-Encoder-Based Rotation Forest. ICIC (3) 2019: 369-380 - [c25]Kai Zheng, Zhu-Hong You, Lei Wang, Yi-Ran Li, Yan-Bin Wang, Han-Jing Jiang:
MISSIM: Improved miRNA-Disease Association Prediction Model Based on Chaos Game Representation and Broad Learning System. ICIC (3) 2019: 392-398 - [c24]Zhen-Hao Guo, Zhu-Hong You, Li-Ping Li, Yan-Bin Wang, Zhan-Heng Chen:
Combining High Speed ELM with a CNN Feature Encoding to Predict LncRNA-Disease Associations. ICIC (2) 2019: 406-417 - [c23]Zhaohui Zhan, Zhu-Hong You, Yong Zhou, Kai Zheng, Zheng-Wei Li:
An Efficient LightGBM Model to Predict Protein Self-interacting Using Chebyshev Moments and Bi-gram. ICIC (2) 2019: 453-459 - [c22]Yan-Bin Wang, Zhu-Hong You, Hai-Cheng Yi, Zhan-Heng Chen, Zhen-Hao Guo, Kai Zheng:
Combining Evolutionary Information and Sparse Bayesian Probability Model to Accurately Predict Self-interacting Proteins. ICIC (2) 2019: 460-467 - 2018
- [c21]Pengwei Hu, Zhu-Hong You, Tiantian He, Shaochun Li, Shuhang Gu, Keith C. C. Chan:
Learning Latent Patterns in Molecular Data for Explainable Drug Side Effects Prediction. BIBM 2018: 1163-1169 - [c20]Zhan-Heng Chen, Zhu-Hong You, Liping Li, Yan-Bin Wang, Xiao Li:
RP-FIRF: Prediction of Self-interacting Proteins Using Random Projection Classifier Combining with Finite Impulse Response Filter. ICIC (2) 2018: 232-240 - [c19]Zhaohui Zhan, Zhu-Hong You, Yong Zhou, Li-Ping Li, Zheng-Wei Li:
Efficient Framework for Predicting ncRNA-Protein Interactions Based on Sequence Information by Deep Learning. ICIC (2) 2018: 337-344 - [c18]Jianqiang Li, Xiaofeng Shi, Zhuhong You, 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. ICIC (1) 2018: 527-532 - [c17]Pengwei Hu, Yu-An Huang, Keith C. C. Chan, Zhu-Hong You:
Discovering an Integrated Network in Heterogeneous Data for Predicting lncRNA-miRNA Interactions. ICIC (1) 2018: 539-545 - 2017
- [c16]Lei Wang, Zhu-Hong You, Xing Chen, Shixiong Xia, Feng Liu, Xin Yan, Yong Zhou:
Computational Methods for the Prediction of Drug-Target Interactions from Drug Fingerprints and Protein Sequences by Stacked Auto-Encoder Deep Neural Network. ISBRA 2017: 46-58 - 2016
- [c15]Peng-Wei, Keith C. C. Chan, Zhu-Hong You:
Large-scale prediction of drug-target interactions from deep representations. IJCNN 2016: 1236-1243 - 2015
- [c14]Yu-An Huang, Zhu-Hong You, Jianqiang Li, Leon Wong, Shubin Cai:
Predicting Protein-Protein Interactions from Amino Acid Sequences Using SaE-ELM Combined with Continuous Wavelet Descriptor and PseAA Composition. ICIC (2) 2015: 634-645 - [c13]Leon Wong, Zhu-Hong You, Shuai Li, Yu-An Huang, Gang Liu:
Detection of Protein-Protein Interactions from Amino Acid Sequences Using a Rotation Forest Model with a Novel PR-LPQ Descriptor. ICIC (3) 2015: 713-720 - 2014
- [c12]Qiao-Ying Huang, Zhu-Hong You, Shuai Li, Zexuan Zhu:
Using Chou's amphiphilic Pseudo-Amino Acid Composition and Extreme Learning Machine for prediction of Protein-protein interactions. IJCNN 2014: 2952-2956 - [c11]Lin Zhu, Zhu-Hong You, De-Shuang Huang:
Identifying Spurious Interactions in the Protein-Protein Interaction Networks Using Local Similarity Preserving Embedding. ISBRA 2014: 138-148 - 2013
- [c10]Zhu-Hong You, Zhong Ming, Liping Li, Qiao-Ying Huang:
Research on Signaling Pathways Reconstruction by Integrating High Content RNAi Screening and Functional Gene Network. ICIC (2) 2013: 1-10 - [c9]Zhuhong You, Zhong Ming, Ben Niu, Suping Deng, Zexuan Zhu:
A SVM-Based System for Predicting Protein-Protein Interactions Using a Novel Representation of Protein Sequences. ICIC (1) 2013: 629-637 - [c8]Zhu-Hong You, Liping Li, Zhen Ji, Min Li, Sen Guo:
Prediction of protein-protein interactions from amino acid sequences using extreme learning machine combined with auto covariance descriptor. Memetic Computing 2013: 80-85 - 2012
- [c7]Zhuhong You, Ying-Ke Lei, Zhen Ji, Zexuan Zhu:
A Novel Approach to Modelling Protein-Protein Interaction Networks. ICSI (2) 2012: 49-57 - 2010
- [c6]Hongjie Yu, Zhu-Hong You:
Comparison of DNA Truncated Barcodes and Full-Barcodes for Species Identification. ICIC (2) 2010: 108-114 - [c5]Zhu-Hong You, Liping Li, Hongjie Yu, Sanfeng Chen, Shu-Lin Wang:
Increasing Reliability of Protein Interactome by Combining Heterogeneous Data Sources with Weighted Network Topological Metrics. ICIC (1) 2010: 657-663 - 2009
- [c4]Zhuhong You, Shanwen Zhang, Liping Li:
Integration of Genomic and Proteomic Data to Predict Synthetic Genetic Interactions Using Semi-supervised Learning. ICIC (2) 2009: 635-644 - 2008
- [c3]Zhuhong You, Shulin Wang, Jie Gui, Shanwen Zhang:
A Novel Hybrid Method of Gene Selection and Its Application on Tumor Classification. ICIC (2) 2008: 1055-1068 - [c2]Jie Gui, De-Shuang Huang, Zhuhong You:
An improvement on learning with local and global consistency. ICPR 2008: 1-4 - 2007
- [c1]Shuai Li, Max Q.-H. Meng, Wanming Chen, Yangming Li, Zhuhong You, Yajin Zhou, Lei Sun, Huawei Liang, Kai Jiang, Qinglei Guo:
SP-NN: A novel neural network approach for path planning. ROBIO 2007: 1355-1360
Coauthor Index
Zhanheng Chen
aka: Zhan-Heng Chen
aka: Zhan-Heng Chen
Pengwei Hu
aka: Peng-Wei Hu
aka: Peng-Wei Hu
De-Shuang Huang
aka: Deshuang Huang
aka: Deshuang Huang
Yuan Huang
aka: Yu-An Huang
aka: Yu-An Huang
Liping Li
aka: Li-Ping Li
aka: Li-Ping Li
Zhengwei Li
aka: Zheng-Wei Li
aka: Zheng-Wei Li
Xiao-Rui Su
aka: Xiaorui Su
aka: Xiaorui Su
Yanbin Wang
aka: Yan-Bin Wang
aka: Yan-Bin Wang
Changqing Yu
aka: Chang-Qing Yu
aka: Chang-Qing Yu
Bo-Wei Zhao
aka: Bowei Zhao
aka: Bowei Zhao
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