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2020 – today
- 2024
[j9]Cunmei Ji, Ning Yu, Yu-Tian Wang, Jiancheng Ni, Chun-Hou Zheng:
SGLMDA: A Subgraph Learning-Based Method for miRNA-Disease Association Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 21(5): 1191-1201 (2024)- 2023
- [j8]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): 277-284 (2023) - [j7]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): 3154-3162 (2023) - [j6]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): 3889-3900 (2023) - [j5]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): 6133-6143 (2023) - 2022
- [j4]Cunmei Ji, Yutian Wang, Zhen Gao, Lei Li, Jiancheng Ni, Chunhou Zheng:
A Semi-Supervised Learning Method for MiRNA-Disease Association Prediction Based on Variational Autoencoder. IEEE ACM Trans. Comput. Biol. Bioinform. 19(4): 2049-2059 (2022) - [c5]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: 166-180 - [c4]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: 245-259 - [c3]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: 639-653 - 2021
- [j3]Cunmei Ji, Zhen Gao, Xu Ma, Qing-Wen Wu, Jian-Cheng Ni, Chunhou Zheng:
AEMDA: inferring miRNA-disease associations based on deep autoencoder. Bioinform. 37(1): 66-72 (2021) - [j2]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) - [c2]Rui-Kang Ni, Zhen Gao, Cunmei Ji:
ICNNMDA: An Improved Convolutional Neural Network for Predicting MiRNA-Disease Associations. ICIC (3) 2021: 445-457 - 2020
- [j1]Xu Ma, Cunmei Ji, Xiaoyu Zhang, Jianfeng Wang, Jin Li, Kuan-Ching Li, Xiaofeng Chen:
Secure multiparty learning from the aggregation of locally trained models. J. Netw. Comput. Appl. 167: 102754 (2020)
2010 – 2019
- 2019
- [c1]Xu Ma, Cunmei Ji, Xiaoyu Zhang, Jianfeng Wang, Jin Li, Kuan-Ching Li:
Secure Multiparty Learning from Aggregation of Locally Trained Models. ML4CS 2019: 173-182
Coauthor Index
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