Yu-Tian Wang

19 papers Journal 13Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
Chaos crossover quantum attraction-repulsion optimization algorithm.
Swarm Evol. Comput.
Ming-Wei Li, Xiang-Yang Li, Yu-Tian Wang, Zhong-Yi Yang, Wei-Chiang Hong
2024 J jnl
SGLMDA: A Subgraph Learning-Based Method for miRNA-Disease Association Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform.
Cunmei Ji, Ning Yu, Yu-Tian Wang, Jiancheng Ni, Chun-Hou Zheng
2023 J jnl
An End-to-End Deep Hybrid Autoencoder Based Method for Single-Cell RNA-Seq Data Analysis.
IEEE ACM Trans. Comput. Biol. Bioinform.
Cunmei Ji, Ning Yu, Yu-Tian Wang, Rong Qi, Chun-Hou Zheng
2023 J jnl
Convolution Neural Networks Using Deep Matrix Factorization for Predicting Circrna-Disease Association.
IEEE ACM Trans. Comput. Biol. Bioinform.
Zhi-Hao Liu, Cunmei Ji, Jian-Cheng Ni, Yu-Tian Wang, Li-Juan Qiao, Chun-Hou Zheng
2023 J jnl
Potential circRNA-Disease Association Prediction Using DeepWalk and Nonnegative Matrix Factorization.
IEEE ACM Trans. Comput. Biol. Bioinform.
Li-Juan Qiao, Zhen Gao, Cunmei Ji, Zhi-Hao Liu, Chun-Hou Zheng, Yu-Tian Wang
2023 J jnl
scGCC: Graph Contrastive Clustering With Neighborhood Augmentations for scRNA-Seq Data Analysis.
IEEE J. Biomed. Health Informatics
Sheng-Wen Tian, Jiancheng Ni, Yu-Tian Wang, Chun-Hou Zheng, Cunmei Ji
2022 J jnl
A New Method Based on Matrix Completion and Non-Negative Matrix Factorization for Predicting Disease-Associated miRNAs.
IEEE ACM Trans. Comput. Biol. Bioinform.
Zhen Gao, Yu-Tian Wang, Qing-Wen Wu, Lei Li, Jian-Cheng Ni, Chun-Hou Zheng
2022 — conf
A Unified Graph Attention Network Based Framework for Inferring circRNA-Disease Associations.
ICIC (3)
Cunmei Ji, Zhi-Hao Liu, Li-Juan Qiao, Yu-Tian Wang, Chun-Hou Zheng
2022 — conf
Cell Classification Based on Stacked Autoencoder for Single-Cell RNA Sequencing.
ICIC (2)
Rong Qi, Chun-Hou Zheng, Cunmei Ji, Ning Yu, Jian-Cheng Ni, Yu-Tian Wang
2022 — conf
GCNMFCDA: A Method Based on Graph Convolutional Network and Matrix Factorization for Predicting circRNA-Disease Associations.
ICIC (2)
Dian-Xiao Wang, Cunmei Ji, Yu-Tian Wang, Lei Li, Jian-Cheng Ni, Bin Li
2022 J jnl
Optimizing Berth-quay Crane Allocation considering Economic Factors Using Chaotic Quantum SSA.
Appl. Artif. Intell.
Xia Cao, Zhong-Yi Yang, Wei-Chiang Hong, Rui-Zhe Xu, Yu-Tian Wang
2022 J jnl
Predicting miRNA-Disease Association Based on Improved Graph Regression.
IEEE ACM Trans. Comput. Biol. Bioinform.
Lei Li, Zhen Gao, Chun-Hou Zheng, Rong Qi, Yu-Tian Wang, Jian-Cheng Ni
2021 J jnl
GCAEMDA: Predicting miRNA-disease associations via graph convolutional autoencoder.
PLoS Comput. Biol.
Lei Li, Yu-Tian Wang, Cunmei Ji, Chun-Hou Zheng, Jian-Cheng Ni, Yan-Sen Su
2021 — conf
MELPMDA: A New Method Based on Matrix Enhancement and Label Propagation for Predicting miRNA-Disease Association.
ICIC (3)
Zhen-Wei Zhang, Zhen Gao, Chun-Hou Zheng, Yu-Tian Wang, Sumin Qi
2021 J jnl
MiRNA-disease association prediction via hypergraph learning based on high-dimensionality features.
BMC Medical Informatics Decis. Mak.
Yu-Tian Wang, Qing-Wen Wu, Zhen Gao, Jian-Cheng Ni, Chun-Hou Zheng
2021 — conf
RWRNCP: Random Walking with Restart Based Network Consistency Projection for Predicting miRNA-Disease Association.
ICIC (3)
Ming-Wen Zhang, Yu-Tian Wang, Zhen Gao, Lei Li, Jian-Cheng Ni, Chun-Hou Zheng
2021 J jnl
SCMFMDA: Predicting microRNA-disease associations based on similarity constrained matrix factorization.
PLoS Comput. Biol.
Lei Li, Zhen Gao, Yu-Tian Wang, Ming-Wen Zhang, Jian-Cheng Ni, Chun-Hou Zheng, Yansen Su
2020 J jnl
Graph regularized L
BMC Bioinform.
Zhen Gao, Yu-Tian Wang, Qing-Wen Wu, Jian-Cheng Ni, Chun-Hou Zheng
2019 — conf
HGMDA: HyperGraph for Predicting MiRNA-Disease Association.
ICIC (2)
Qing-Wen Wu, Yu-Tian Wang, Zhen Gao, Ming-Wen Zhang, Jian-Cheng Ni, Chun-Hou Zheng