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2020 – today
- 2024
[j12]Wenjing Wang
, Pengyong Han, Zhengwei Li, Ru Nie, Kangwei Wang, Lei Wang, Hongmei Liao:
LMGATCDA: Graph Neural Network With Labeling Trick for Predicting circRNA-Disease Associations. IEEE ACM Trans. Comput. Biol. Bioinform. 21(2): 289-300 (2024)- [c9]Ru Nie, Xiaobing Shen, Zhengwei Li, Yanxia Jiang, Hongmei Liao, Zhuhong You:
Lightweight Coal Flow Foreign Object Detection Algorithm. ICIC (3) 2024: 393-404 - 2023
- [j11]Kangwei Wang, Zhengwei Li, Zhu-Hong You, Pengyong Han, Ru Nie:
Adversarial dense graph convolutional networks for single-cell classification. Bioinform. 39(2) (2023) - [j10]Huan Zhao, Zhengwei Li, Zhu-Hong You, Ru Nie, Tangbo Zhong:
Predicting Mirna-Disease Associations Based on Neighbor Selection Graph Attention Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 20(2): 1298-1307 (2023) - 2022
- [j9]Tangbo Zhong, Zhengwei Li, Zhu-Hong You, Ru Nie, Huan Zhao:
Predicting miRNA-disease associations based on graph random propagation network and attention network. Briefings Bioinform. 23(2) (2022) - [j8]Jing Li, Chen Zhang, Zheng-Wei Li, Ru Nie, Pengyong Han, Wenjia Yang, Hongmei Liao:
GCMCDTI: Graph convolutional autoencoder framework for predicting drug-target interactions based on matrix completion. J. Bioinform. Comput. Biol. 20(5): 2250023:1-2250023:18 (2022) - [c8]Zhengtao Zhang, Pengyong Han, Zhengwei Li, Ru Nie, Qiankun Wang:
Prediction of MiRNA-Disease Association Based on Higher-Order Graph Convolutional Networks. ICIC (2) 2022: 181-195 - 2021
- [j7]Zhengwei Li, Jiashu Li, Ru Nie, Zhu-Hong You, Wenzheng Bao:
A graph auto-encoder model for miRNA-disease associations prediction. Briefings Bioinform. 22(4) (2021) - [j6]Ru Nie, Zhengwei Li, Zhu-Hong You, Wenzheng Bao, Jiashu Li:
Efficient framework for predicting MiRNA-disease associations based on improved hybrid collaborative filtering. BMC Medical Informatics Decis. Mak. 21-S(1): 254 (2021) - 2020
- [c7]ChengYong Zhang, Zhengwei Li, Ru Nie, Lei Wang, Huan Zhao:
Image Classification Based on Deep Belief Network and YELM. ICIC (1) 2020: 150-159
2010 – 2019
- 2019
- [j5]Zhengwei Li, Ru Nie, Zhuhong You, Chen Cao, Jiashu Li:
Using discriminative vector machine model with 2DPCA to predict interactions among proteins. BMC Bioinform. 20-S(25): 694 (2019) - [c6]Zhengwei Li, Ru Nie, Zhuhong You, Yan Zhao, Xin Ge, Yang Wang:
LRMDA: Using Logistic Regression and Random Walk with Restart for MiRNA-Disease Association Prediction. ICIC (2) 2019: 283-293 - 2015
- [j4]Shifei Ding, Han Zhao, Yanan Zhang, Xinzheng Xu, Ru Nie:
Extreme learning machine: algorithm, theory and applications. Artif. Intell. Rev. 44(1): 103-115 (2015) - 2014
- [j3]Hongjie Jia, Shifei Ding, Xinzheng Xu, Ru Nie:
The latest research progress on spectral clustering. Neural Comput. Appl. 24(7-8): 1477-1486 (2014) - [j2]Shifei Ding, Xinzheng Xu, Ru Nie:
Extreme learning machine and its applications. Neural Comput. Appl. 25(3-4): 549-556 (2014) - 2013
- [j1]Shifei Ding, Fulin Wu, Ru Nie, Junzhao Yu, Huajuan Huang:
Twin Support Vector Machines Based on Quantum Particle Swarm Optimization. J. Softw. 8(7): 1743-1750 (2013) - [c5]Shifei Ding, Huajuan Huang, Ru Nie:
Forecasting Method of Stock Price Based on Polynomial Smooth Twin Support Vector Regression. ICIC (1) 2013: 96-105 - 2011
- [c4]Baoxiang He, Ru Nie, Shuyue Chen:
Networks' equal system and its optimization. FSKD 2011: 2295-2299 - 2010
- [c3]Ru Nie, Xinzheng Xu, Jianhua Yue:
A novel quantum-inspired particle swarm algorithm and its application. ICNC 2010: 2556-2560
2000 – 2009
- 2008
- [c2]Ru Nie, Jianhua Yue:
A GA and Particle Swarm Optimization based hybrid algorithm. IEEE Congress on Evolutionary Computation 2008: 1047-1050 - 2007
- [c1]Ru Nie, Jianhua Yue:
An Attribute Reduction Method Based on Rough Set and SVM and with Application in Oil-Gas Prediction. ACIS-ICIS 2007: 502-506
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