Weifeng Zhang

Orcid: 0000-0002-7174-9938

Affiliations:
  • South China Agricultural University, Guangzhou, China


According to our database1, Weifeng Zhang authored at least 11 papers between 2007 and 2017.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2017
Reflectance Estimation Based on Locally Weighted Linear Regression Methods.
Proceedings of the Computational Intelligence and Intelligent Systems, 2017

Exploring Migration Issue Based on Multi-agent Modeling.
Proceedings of the Computational Intelligence and Intelligent Systems, 2017

Design and Implementation of a Unified Mooc Recommendation System for Social Work Major: Experiences and Lessons.
Proceedings of the 2017 IEEE International Conference on Computational Science and Engineering, 2017

2015
Regularized Local Linear Model with Core Neighbors for Reflectance Estimation.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

2012
Exon prediction using empirical mode decomposition and Fourier transform of structural profiles of DNA sequences.
Pattern Recognit., 2012

Reflectance Estimation Using Local Regression Methods.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

2010
Framelet Kernels With Applications to Support Vector Regression and Regularization Networks.
IEEE Trans. Syst. Man Cybern. Part B, 2010

Clustering of temporal gene expression data by regularized spline regression and an energy based similarity measure.
Pattern Recognit., 2010

Temporal Gene Expression Profiles Reconstruction by Support Vector Regression and Framelet Kernel.
Proceedings of the Advances in Neural Networks, 2010

Gene time series data clustering based on continuous representations and an energy based similarity measure.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

2007
On a New Class of Framelet Kernels for Support Vector Regression and Regularization Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007


  Loading...