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Jing-Xiu Zhao
ORCID
Publication Activity (10 Years)
Years Active: 2021-2024
Publications (10 Years): 6
Top Topics
Factorization Method
Top Venues
IEEE ACM Trans. Comput. Biol. Bioinform.
IEEE Trans. Neural Networks Learn. Syst.
BMC Bioinform.
BIBM
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Publications
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Dai-Jun Zhang
,
Ying-Lian Gao
,
Jing-Xiu Zhao
,
Chun-Hou Zheng
,
Jin-Xing Liu
A New Graph Autoencoder-Based Consensus-Guided Model for scRNA-seq Cell Type Detection.
IEEE Trans. Neural Networks Learn. Syst.
35 (2) (2024)
Feng Zhou
,
Meng-Meng Yin
,
Jing-Xiu Zhao
,
Junliang Shang
,
Jin-Xing Liu
A Method Based On Dual-Network Information Fusion to Predict MiRNA-Disease Associations.
IEEE ACM Trans. Comput. Biol. Bioinform.
20 (1) (2023)
Jin-Xing Liu
,
Dai-Jun Zhang
,
Jing-Xiu Zhao
,
Chun-Hou Zheng
,
Ying-Lian Gao
Non-Negative Low-Rank Representation With Similarity Correction for Cell Type Identification in scRNA-Seq Data.
IEEE ACM Trans. Comput. Biol. Bioinform.
20 (6) (2023)
Feng Zhou
,
Meng-Meng Yin
,
Cui-Na Jiao
,
Jing-Xiu Zhao
,
Chun-Hou Zheng
,
Jin-Xing Liu
Predicting miRNA-Disease Associations Through Deep Autoencoder With Multiple Kernel Learning.
IEEE Trans. Neural Networks Learn. Syst.
34 (9) (2023)
Feng Zhou
,
Meng-Meng Yin
,
Cui-Na Jiao
,
Zhen Cui
,
Jing-Xiu Zhao
,
Jin-Xing Liu
Bipartite graph-based collaborative matrix factorization method for predicting miRNA-disease associations.
BMC Bioinform.
22 (1) (2021)
Dai-Jun Zhang
,
Jing-Xiu Zhao
,
Jin-Xing Liu
,
Ying-Lian Gao
Adaptive total-variation joint learning model for analyzing single cell RNA seq data.
BIBM
(2021)