Ru Nie

According to our database, Ru Nie authored at least 20 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

LMGATCDA: Graph Neural Network With Labeling Trick for Predicting circRNA-Disease Associations.

Wenjing Wang, Pengyong Han, Zhengwei Li, Ru Nie, Kangwei Wang, Lei Wang, Hongmei Liao

IEEE ACM Trans. Comput. Biol. Bioinform., 2024

2023

Adversarial dense graph convolutional networks for single-cell classification.

Kangwei Wang, Zhengwei Li, Zhu-Hong You, Pengyong Han, Ru Nie

Bioinform., February, 2023

Predicting Mirna-Disease Associations Based on Neighbor Selection Graph Attention Networks.

Huan Zhao, Zhengwei Li, Zhu-Hong You, Ru Nie, Tangbo Zhong

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

2022

GCMCDTI: Graph convolutional autoencoder framework for predicting drug-target interactions based on matrix completion.

Jing Li, Chen Zhang, Zheng-Wei Li, Ru Nie, Pengyong Han, Wenjia Yang, Hongmei Liao

J. Bioinform. Comput. Biol., 2022

Predicting miRNA-disease associations based on graph random propagation network and attention network.

Tangbo Zhong, Zhengwei Li, Zhu-Hong You, Ru Nie, Huan Zhao

Briefings Bioinform., 2022

Prediction of MiRNA-Disease Association Based on Higher-Order Graph Convolutional Networks.

Zhengtao Zhang, Pengyong Han, Zhengwei Li, Ru Nie, Qiankun Wang

Proceedings of the Intelligent Computing Theories and Application, 2022

2021

Efficient framework for predicting MiRNA-disease associations based on improved hybrid collaborative filtering.

Ru Nie, Zhengwei Li, Zhu-Hong You, Wenzheng Bao, Jiashu Li

BMC Medical Informatics Decis. Mak., 2021

A graph auto-encoder model for miRNA-disease associations prediction.

Zhengwei Li, Jiashu Li, Ru Nie, Zhu-Hong You, Wenzheng Bao

Briefings Bioinform., 2021

2020

Image Classification Based on Deep Belief Network and YELM.

ChengYong Zhang, Zhengwei Li, Ru Nie, Lei Wang, Huan Zhao

Proceedings of the Intelligent Computing Theories and Application, 2020

2019

Using discriminative vector machine model with 2DPCA to predict interactions among proteins.

Zhengwei Li, Ru Nie, Zhuhong You, Chen Cao, Jiashu Li

BMC Bioinform., 2019

LRMDA: Using Logistic Regression and Random Walk with Restart for MiRNA-Disease Association Prediction.

Zhengwei Li, Ru Nie, Zhuhong You, Yan Zhao, Xin Ge, Yang Wang

Proceedings of the Intelligent Computing Theories and Application, 2019

2015

Extreme learning machine: algorithm, theory and applications.

Shifei Ding, Han Zhao, Yanan Zhang, Xinzheng Xu, Ru Nie

Artif. Intell. Rev., 2015

2014

The latest research progress on spectral clustering.

Hongjie Jia, Shifei Ding, Xinzheng Xu, Ru Nie

Neural Comput. Appl., 2014

Extreme learning machine and its applications.

Shifei Ding, Xinzheng Xu, Ru Nie

Neural Comput. Appl., 2014

2013

Twin Support Vector Machines Based on Quantum Particle Swarm Optimization.

Shifei Ding, Fulin Wu, Ru Nie, Junzhao Yu, Huajuan Huang

J. Softw., 2013

Forecasting Method of Stock Price Based on Polynomial Smooth Twin Support Vector Regression.

Shifei Ding, Huajuan Huang, Ru Nie

Proceedings of the Intelligent Computing Theories - 9th International Conference, 2013

2011

Networks' equal system and its optimization.

Baoxiang He, Ru Nie, Shuyue Chen

Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011

2010

A novel quantum-inspired particle swarm algorithm and its application.

Ru Nie, Xinzheng Xu, Jianhua Yue

Proceedings of the Sixth International Conference on Natural Computation, 2010

2008

A GA and Particle Swarm Optimization based hybrid algorithm.

Ru Nie, Jianhua Yue

Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007

An Attribute Reduction Method Based on Rough Set and SVM and with Application in Oil-Gas Prediction.

Ru Nie, Jianhua Yue

Proceedings of the 6th Annual IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007), 2007