Ru Nie

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 13

Top Topics

Gene Expression

Collaborative Filtering

Extreme Learning Machine

Spectral Clustering

Top Venues

IEEE ACM Trans. Comput. Biol. Bioinform.

Briefings Bioinform.

Neural Comput. Appl.

Publications

Ru Nie, Xiaobing Shen, Zhengwei Li, Yanxia Jiang, Hongmei Liao, Zhuhong You
Lightweight Coal Flow Foreign Object Detection Algorithm. ICIC (3) (2024)
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) (2024)
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) (2023)
Kangwei Wang, Zhengwei Li, Zhu-Hong You, Pengyong Han, Ru Nie
Adversarial dense graph convolutional networks for single-cell classification. Bioinform. 39 (2) (2023)
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) (2022)
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)
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)
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. (1) (2021)
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)
ChengYong Zhang, Zhengwei Li, Ru Nie, Lei Wang, Huan Zhao
Image Classification Based on Deep Belief Network and YELM. ICIC (1) (2020)
Zhengwei Li, Ru Nie, Zhuhong You, Chen Cao, Jiashu Li
Using discriminative vector machine model with 2DPCA to predict interactions among proteins. BMC Bioinform. (25) (2019)
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)
Shifei Ding, Han Zhao, Yanan Zhang, Xinzheng Xu, Ru Nie
Extreme learning machine: algorithm, theory and applications. Artif. Intell. Rev. 44 (1) (2015)
Hongjie Jia, Shifei Ding, Xinzheng Xu, Ru Nie
The latest research progress on spectral clustering. Neural Comput. Appl. 24 (7-8) (2014)
Shifei Ding, Xinzheng Xu, Ru Nie
Extreme learning machine and its applications. Neural Comput. Appl. 25 (3-4) (2014)
Shifei Ding, Fulin Wu, Ru Nie, Junzhao Yu, Huajuan Huang
Twin Support Vector Machines Based on Quantum Particle Swarm Optimization. J. Softw. 8 (7) (2013)
Shifei Ding, Huajuan Huang, Ru Nie
Forecasting Method of Stock Price Based on Polynomial Smooth Twin Support Vector Regression. ICIC (1) (2013)
Baoxiang He, Ru Nie, Shuyue Chen
Networks' equal system and its optimization. FSKD (2011)
Ru Nie, Xinzheng Xu, Jianhua Yue
A novel quantum-inspired particle swarm algorithm and its application. ICNC (2010)
Ru Nie, Jianhua Yue
A GA and Particle Swarm Optimization based hybrid algorithm. IEEE Congress on Evolutionary Computation (2008)
Ru Nie, Jianhua Yue
An Attribute Reduction Method Based on Rough Set and SVM and with Application in Oil-Gas Prediction. ACIS-ICIS (2007)