Dingfang Li

According to our database, Dingfang Li authored at least 14 papers between 2006 and 2023.

Collaborative distances:

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

2023

A Modified High-Resolution Non-staggered Central Scheme with Adjustable Numerical Dissipation.

M. Liu, J. Dong, Z. Li, Dingfang Li

J. Sci. Comput., November, 2023

2020

A multiple search strategies based grey wolf optimizer for solving multi-objective optimization problems.

Junfeng Liu, Zhe Yang, Dingfang Li

Expert Syst. Appl., 2020

Lion swarm optimization algorithm for comparative study with application to optimal dispatch of cascade hydropower stations.

Junfeng Liu, Dingfang Li, Yun Wu, Dedi Liu

Appl. Soft Comput., 2020

Chaotic Dynamically Dimensioned Search Algorithm.

Yun Wu, Junfeng Liu, Dingfang Li

IEEE Access, 2020

2019

Parameter estimation of P-III distribution based on GA using rejection and interpolation mechanism.

Wei She, Dingfang Li, Yongbo Xia, Shasha Tian

Clust. Comput., 2019

2018

Manifold regularized matrix factorization for drug-drug interaction prediction.

Wen Zhang, Yanlin Chen, Dingfang Li, Xiang Yue

J. Biomed. Informatics, 2018

2017

Predicting small RNAs in bacteria via sequence learning ensemble method.

Wen Zhang, Jingwen Shi, Guifeng Tang, Wenjian Wu, Xiang Yue, Dingfang Li

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016

A genetic algorithm-based weighted ensemble method for predicting transposon-derived piRNAs.

Dingfang Li, Longqiang Luo, Wen Zhang, Feng Liu, Fei Luo

BMC Bioinform., 2016

2015

基于集成学习的离子通道药物靶点预测 (Predicting Potential Drug Targets from Ion Channel Proteins Based on Ensemble Learning).

Qianqian Xie, Dingfang Li, Wen Zhang

计算机科学, 2015

两种基于树结构的基因选择算法 (Two Novel Tree Structure-based Methods for Gene Selection).

Qianqian Xie, Dingfang Li, Wen Zhang

计算机科学, 2015

2014

An improvement of Chebyshev-Halley methods free from second derivative.

Dingfang Li, Ping Liu, Jisheng Kou

Appl. Math. Comput., 2014

2008

Fuzzy relevance vector machine for learning from unbalanced data and noise.

Dingfang Li, Wenchao Hu, Wei Xiong, Jin-Bo Yang

Pattern Recognit. Lett., 2008

2006

Gene Selection Using Rough Set Theory.

Dingfang Li, Wen Zhang

Proceedings of the Rough Sets and Knowledge Technology, First International Conference, 2006

Feature Selection with RVM and Its Application to Prediction Modeling.

Dingfang Li, Wenchao Hu

Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006