Yun Liu

According to our database, Yun Liu authored at least 9 papers between 2010 and 2020.

Collaborative distances:

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

2020

Supervised Dimensionality Reduction Methods via Recursive Regression.

Yun Liu, Rui Zhang, Feiping Nie, Xuelong Li, Chris Ding

IEEE Trans. Neural Networks Learn. Syst., 2020

2019

Generalized Uncorrelated Regression with Adaptive Graph for Unsupervised Feature Selection.

Xuelong Li, Han Zhang, Rui Zhang, Yun Liu, Feiping Nie

IEEE Trans. Neural Networks Learn. Syst., 2019

2017

Semi-Supervised Classifications via Elastic and Robust Embedding.

Yun Liu, Yiming Guo, Hua Wang, Feiping Nie, Heng Huang

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2015

Discriminative Unsupervised Dimensionality Reduction.

Xiaoqian Wang, Yun Liu, Feiping Nie, Heng Huang

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2013

Fusing inherent and external knowledge with nonlinear learning for cross-media retrieval.

Hong Zhang, Yun Liu, Zhigang Ma

Neurocomputing, 2013

Efficient semi-supervised feature selection with noise insensitive trace ratio criterion.

Yun Liu, Feiping Nie, Jigang Wu, Lihui Chen

Neurocomputing, 2013

2012

Orthogonal vs. uncorrelated least squares discriminant analysis for feature extraction.

Feiping Nie, Shiming Xiang, Yun Liu, Chenping Hou, Changshui Zhang

Pattern Recognit. Lett., 2012

Semi-supervised distance metric learning based on local linear regression for data clustering.

Hong Zhang, Jun Yu, Meng Wang, Yun Liu

Neurocomputing, 2012

2010

A general graph-based semi-supervised learning with novel class discovery.

Feiping Nie, Shiming Xiang, Yun Liu, Changshui Zhang

Neural Comput. Appl., 2010