Lei Wang

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 47

Top Topics

Protein Sequences

Graph Representation

Negative Matrix Factorization

Top Venues

Briefings Bioinform.

IEEE ACM Trans. Comput. Biol. Bioinform.

IEEE J. Biomed. Health Informatics

Publications

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)
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)
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)
Wenjing Wang, Pengyong Han, Zhengwei Li, Ru Nie, Kangwei Wang, Lei Wang, Hongmei Liao
LMGATCDA: Graph Neural Network With Labeling Trick for Predicting circRNA-Disease Associations. IEEE ACM Trans. Comput. Biol. Bioinform. 21 (2) (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)
Zhi-Peng Zhu, Pengyong Han, Lei Wang, Xi-Shang Dong, San-Rong Liu, Zheng-Wei Li
ADARES: A Single-cell Classification Model Based on Adversarial Data Augmentation and Residual Networks. SPML (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)
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)
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) (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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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 (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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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 (2019)
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) (2018)
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) (2018)
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) (2018)
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)