Cunmei Ji

20 papers Journal 11Unranked 9
YearRankTypeTitle / Venue / Authors
2025 — conf
SPF-FS: A Self-Paced Framework Fusing Feature Selection and Clustering with Prior Knowledge for scRNA-Seq Data.
BIBM
Chuanxin Liu, Yutian Wang, Zongpei Ma, Cunmei Ji, Zongqiang Liu, Chunhou Zheng
2025 — conf
sc3M: Multi-Level Graph Contrastive Learning with Min-Max Principle for Clustering scRNA-Seq Data.
BIBM
Zongpei Ma, Cunmei Ji, Chuanxin Liu, Haoze Li, Yutian Wang, Chunhou Zheng
2025 — conf
scAFC: Adaptive Fusion Clustering of Single-Cell RNA-seq Data Through Autoencoder and Graph Attention Networks.
ICIC (26)
Cunmei Ji, Zhaomei Li, Yutian Wang, Ke Gao, Zongpei Ma, Chunhou Zheng
2025 J jnl
scAFGCC: An augmentation-free graph contrastive clustering method for scRNA-seq data analysis.
Neurocomputing
Shengwen Tian, Yu Wang, Yutian Wang, Cunmei Ji, Jiancheng Ni
2025 — conf
scMGCC: A Self-supervised Multi-level Graph Contrastive Learning Method for scRNA-seq Data Clustering.
ICIC (25)
Yutian Wang, Chuanxin Liu, Ke Gao, Cunmei Ji, Chun-Hou Zheng
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
2024 J jnl
Using Multi-Encoder Semi-Implicit Graph Variational Autoencoder to Analyze Single-Cell RNA Sequencing Data.
IEEE ACM Trans. Comput. Biol. Bioinform.
Shengwen Tian, Cunmei Ji, Jiancheng Ni, Yutian Wang, Chunhou 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 Semi-Supervised Learning Method for MiRNA-Disease Association Prediction Based on Variational Autoencoder.
IEEE ACM Trans. Comput. Biol. Bioinform.
Cunmei Ji, Yutian Wang, Zhen Gao, Lei Li, Jiancheng Ni, Chunhou 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
2021 J jnl
AEMDA: inferring miRNA-disease associations based on deep autoencoder.
Bioinform.
Cunmei Ji, Zhen Gao, Xu Ma, Qing-Wen Wu, Jian-Cheng Ni, Chunhou Zheng
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
ICNNMDA: An Improved Convolutional Neural Network for Predicting MiRNA-Disease Associations.
ICIC (3)
Rui-Kang Ni, Zhen Gao, Cunmei Ji
2020 J jnl
Secure multiparty learning from the aggregation of locally trained models.
J. Netw. Comput. Appl.
Xu Ma, Cunmei Ji, Xiaoyu Zhang, Jianfeng Wang, Jin Li, Kuan-Ching Li, Xiaofeng Chen
2019 — conf
Secure Multiparty Learning from Aggregation of Locally Trained Models.
ML4CS
Xu Ma, Cunmei Ji, Xiaoyu Zhang, Jianfeng Wang, Jin Li, Kuan-Ching Li