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2020 – today
- 2023
[j11]M. Liu, J. Dong, Z. Li, Dingfang Li
:
A Modified High-Resolution Non-staggered Central Scheme with Adjustable Numerical Dissipation. J. Sci. Comput. 97(2): 28 (2023)- 2020
- [j10]Yun Wu, Junfeng Liu, Dingfang Li:
Chaotic Dynamically Dimensioned Search Algorithm. IEEE Access 8: 152474-152499 (2020) - [j9]Junfeng Liu, Dingfang Li, Yun Wu, Dedi Liu:
Lion swarm optimization algorithm for comparative study with application to optimal dispatch of cascade hydropower stations. Appl. Soft Comput. 87: 105974 (2020) - [j8]Junfeng Liu, Zhe Yang, Dingfang Li:
A multiple search strategies based grey wolf optimizer for solving multi-objective optimization problems. Expert Syst. Appl. 145: 113134 (2020)
2010 – 2019
- 2019
- [j7]Wei She, Dingfang Li, Yongbo Xia, Shasha Tian:
Parameter estimation of P-III distribution based on GA using rejection and interpolation mechanism. Clust. Comput. 22(Suppl 1): 2159-2167 (2019) - 2018
- [j6]Wen Zhang, Yanlin Chen, Dingfang Li, Xiang Yue:
Manifold regularized matrix factorization for drug-drug interaction prediction. J. Biomed. Informatics 88: 90-97 (2018) - 2017
- [c3]Wen Zhang, Jingwen Shi, Guifeng Tang, Wenjian Wu, Xiang Yue, Dingfang Li:
Predicting small RNAs in bacteria via sequence learning ensemble method. BIBM 2017: 643-647 - 2016
- [j5]Dingfang Li, Longqiang Luo, Wen Zhang, Feng Liu, Fei Luo:
A genetic algorithm-based weighted ensemble method for predicting transposon-derived piRNAs. BMC Bioinform. 17: 329 (2016) - 2015
- [j4]Qianqian Xie, Dingfang Li, Wen Zhang:
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). 计算机科学 42(4): 177-180 (2015) - [j3]Qianqian Xie, Dingfang Li, Wen Zhang:
两种基于树结构的基因选择算法 (Two Novel Tree Structure-based Methods for Gene Selection). 计算机科学 42(7): 250-253 (2015) - 2014
- [j2]Dingfang Li, Ping Liu, Jisheng Kou:
An improvement of Chebyshev-Halley methods free from second derivative. Appl. Math. Comput. 235: 221-225 (2014)
2000 – 2009
- 2008
- [j1]Dingfang Li, Wenchao Hu, Wei Xiong, Jin-Bo Yang:
Fuzzy relevance vector machine for learning from unbalanced data and noise. Pattern Recognit. Lett. 29(9): 1175-1181 (2008) - 2006
- [c2]Dingfang Li, Wenchao Hu:
Feature Selection with RVM and Its Application to Prediction Modeling. Australian Conference on Artificial Intelligence 2006: 1140-1144 - [c1]Dingfang Li, Wen Zhang:
Gene Selection Using Rough Set Theory. RSKT 2006: 778-785
Coauthor Index
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