Yu-Tian Wang

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 17

Top Topics

Matrix Factorization

Top Venues

IEEE ACM Trans. Comput. Biol. Bioinform.

PLoS Comput. Biol.

Publications

Zhi-Hao Liu, Cunmei Ji, Jian-Cheng Ni, Yu-Tian Wang, Li-Juan Qiao, Chun-Hou Zheng
Convolution Neural Networks Using Deep Matrix Factorization for Predicting Circrna-Disease Association. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (1) (2023)
Li-Juan Qiao, Zhen Gao, Cunmei Ji, Zhi-Hao Liu, Chun-Hou Zheng, Yu-Tian Wang
Potential circRNA-Disease Association Prediction Using DeepWalk and Nonnegative Matrix Factorization. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (5) (2023)
Cunmei Ji, Ning Yu, Yu-Tian Wang, Rong Qi, Chun-Hou Zheng
An End-to-End Deep Hybrid Autoencoder Based Method for Single-Cell RNA-Seq Data Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (6) (2023)
Sheng-Wen Tian, Jiancheng Ni, Yu-Tian Wang, Chun-Hou Zheng, Cunmei Ji
scGCC: Graph Contrastive Clustering With Neighborhood Augmentations for scRNA-Seq Data Analysis. IEEE J. Biomed. Health Informatics 27 (12) (2023)
Rong Qi, Chun-Hou Zheng, Cunmei Ji, Ning Yu, Jian-Cheng Ni, Yu-Tian Wang
Cell Classification Based on Stacked Autoencoder for Single-Cell RNA Sequencing. ICIC (2) (2022)
Dian-Xiao Wang, Cunmei Ji, Yu-Tian Wang, Lei Li, Jian-Cheng Ni, Bin Li
GCNMFCDA: A Method Based on Graph Convolutional Network and Matrix Factorization for Predicting circRNA-Disease Associations. ICIC (2) (2022)
Zhen Gao, Yu-Tian Wang, Qing-Wen Wu, Lei Li, Jian-Cheng Ni, Chun-Hou Zheng
A New Method Based on Matrix Completion and Non-Negative Matrix Factorization for Predicting Disease-Associated miRNAs. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (2) (2022)
Lei Li, Zhen Gao, Chun-Hou Zheng, Rong Qi, Yu-Tian Wang, Jian-Cheng Ni
Predicting miRNA-Disease Association Based on Improved Graph Regression. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (6) (2022)
Xia Cao, Zhong-Yi Yang, Wei-Chiang Hong, Rui-Zhe Xu, Yu-Tian Wang
Optimizing Berth-quay Crane Allocation considering Economic Factors Using Chaotic Quantum SSA. Appl. Artif. Intell. 36 (1) (2022)
Cunmei Ji, Zhi-Hao Liu, Li-Juan Qiao, Yu-Tian Wang, Chun-Hou Zheng
A Unified Graph Attention Network Based Framework for Inferring circRNA-Disease Associations. ICIC (3) (2022)
Ming-Wen Zhang, Yu-Tian Wang, Zhen Gao, Lei Li, Jian-Cheng Ni, Chun-Hou Zheng
RWRNCP: Random Walking with Restart Based Network Consistency Projection for Predicting miRNA-Disease Association. ICIC (3) (2021)
Zhen-Wei Zhang, Zhen Gao, Chun-Hou Zheng, Yu-Tian Wang, Su-Min Qi
MELPMDA: A New Method Based on Matrix Enhancement and Label Propagation for Predicting miRNA-Disease Association. ICIC (3) (2021)
Lei Li, Zhen Gao, Yu-Tian Wang, Ming-Wen Zhang, Jian-Cheng Ni, Chun-Hou Zheng, Yansen Su
SCMFMDA: Predicting microRNA-disease associations based on similarity constrained matrix factorization. PLoS Comput. Biol. 17 (7) (2021)
Yu-Tian Wang, Qing-Wen Wu, Zhen Gao, Jian-Cheng Ni, Chun-Hou Zheng
MiRNA-disease association prediction via hypergraph learning based on high-dimensionality features. BMC Medical Informatics Decis. Mak. 21 (1) (2021)
Lei Li, Yu-Tian Wang, Cunmei Ji, Chun-Hou Zheng, Jian-Cheng Ni, Yan-Sen Su
GCAEMDA: Predicting miRNA-disease associations via graph convolutional autoencoder. PLoS Comput. Biol. 17 (12) (2021)
Zhen Gao, Yu-Tian Wang, Qing-Wen Wu, Jian-Cheng Ni, Chun-Hou Zheng
-nonnegative matrix factorization for miRNA-disease association prediction. BMC Bioinform. 21 (1) (2020)
Qing-Wen Wu, Yu-Tian Wang, Zhen Gao, Ming-Wen Zhang, Jian-Cheng Ni, Chun-Hou Zheng
HGMDA: HyperGraph for Predicting MiRNA-Disease Association. ICIC (2) (2019)