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2020 – today
- 2024
[j13]Jinhang Wei
, Zhen Li, Linlin Zhuo, Xiangzheng Fu, Mingjing Wang, Keqin Li, Chengshui Chen:
Enhancing drug-food interaction prediction with precision representations through multilevel self-supervised learning. Comput. Biol. Medicine 171: 108104 (2024)- [j12]Shu-Hao Wang, Yan Zhao, Chun-Chun Wang, Fei Chu, Lian-Ying Miao, Li Zhang, Linlin Zhuo, Xing Chen:
RFEM: A framework for essential microRNA identification in mice based on rotation forest and multiple feature fusion. Comput. Biol. Medicine 171: 108177 (2024) - [j11]Xinqian Ma, Zhen Li, Zhenya Du, Yan Xu, Yifan Chen, Linlin Zhuo, Xiangzheng Fu, Ruijun Liu:
Advancing cancer driver gene detection via Schur complement graph augmentation and independent subspace feature extraction. Comput. Biol. Medicine 174: 108484 (2024) - [j10]Zhen Li, Qingquan Liao, Wenbin Liu, Peng Xu, Linlin Zhuo, Xiangzheng Fu, Quan Zou:
Multi-source data integration for explainable miRNA-driven drug discovery. Future Gener. Comput. Syst. 160: 109-119 (2024) - [j9]Rui Wang, Zhecheng Zhou, Xiaonan Wu, Xin Jiang, Linlin Zhuo, Mingzhe Liu, Hao Li, Xiangzheng Fu, Xiaojun Yao:
An Effective Plant Small Secretory Peptide Recognition Model Based on Feature Correction Strategy. J. Chem. Inf. Model. 64(7): 2798-2806 (2024) - [j8]Tao Wang, Wentao Wang, Xin Jiang, Jiaxing Mao, Linlin Zhuo, Mingzhe Liu, Xiangzheng Fu, Xiaojun Yao:
ML-NPI: Predicting Interactions between Noncoding RNA and Protein Based on Meta-Learning in a Large-Scale Dynamic Graph. J. Chem. Inf. Model. 64(7): 2912-2920 (2024) - 2023
- [j7]Jinhang Wei, Linlin Zhuo, Zhecheng Zhou, Xinze Lian, Xiangzheng Fu, Xiaojun Yao:
GCFMCL: predicting miRNA-drug sensitivity using graph collaborative filtering and multi-view contrastive learning. Briefings Bioinform. 24(4) (2023) - [j6]Jinhang Wei, Linlin Zhuo, Shiyao Pan, Xinze Lian, Xiaojun Yao, Xiangzheng Fu:
HeadTailTransfer: An efficient sampling method to improve the performance of graph neural network method in predicting sparse ncRNA-protein interactions. Comput. Biol. Medicine 157: 106783 (2023) - [j5]Zhecheng Zhou, Zhenya Du, Jinhang Wei, Linlin Zhuo, Shiyao Pan, Xiangzheng Fu, Xinze Lian:
MHAM-NPI: Predicting ncRNA-protein interactions based on multi-head attention mechanism. Comput. Biol. Medicine 163: 107143 (2023) - 2022
- [j4]Linlin Zhuo, Bosheng Song, Yuansheng Liu, Zejun Li, Xiangzheng Fu:
Predicting ncRNA-protein interactions based on dual graph convolutional network and pairwise learning. Briefings Bioinform. 23(6) (2022) - [c2]Zhenqian Wang, Wei Yang, Bo Zhang, Linlin Zhuo, Huigui Rong:
A DNN Operation Scheme Based on IPSO for UAV-Assisted MEC Networks. ICCT 2022: 596-601 - 2021
- [j3]Wei Yang, Linlin Zhuo, Jing Zeng, Yijun Zhao, Qiaojie Jiang, Dongliang Xie:
MVTLR-HCFS: Density Peak Algorithm Based on Multi-View and Tensor Low Rank Expression. IEEE Access 9: 14619-14629 (2021) - [c1]Linlin Zhuo, Wei Yang, Jing Jia, Huila Wang:
Predicting NPI Based on Graph Convolutional Neural Networks. ICCT 2021: 323-327 - 2020
- [j2]Linlin Zhuo, Kenli Li, Hao Li, Jiwu Peng, Keqin Li:
An online and generalized non-negativity constrained model for large-scale sparse tensor estimation on multi-GPU. Neurocomputing 399: 18-36 (2020)
2010 – 2019
- 2019
- [j1]Linlin Zhuo, Kenli Li, Bo Liao, Hao Li, Xiaohui Wei, Keqin Li:
HCFS: A Density Peak Based Clustering Algorithm Employing A Hierarchical Strategy. IEEE Access 7: 74612-74624 (2019)
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