# Yifan Fu

According to our database

^{1}, Yifan Fu## Timeline

#### Legend:

Book In proceedings Article PhD thesis Other## Links

#### On csauthors.net:

## Bibliography

2016

Tensor LRR and Sparse Coding-Based Subspace Clustering.

IEEE Trans. Neural Netw. Learning Syst., 2016

Prognosis of chip-loss failure in high-power IGBT module by self-testing.

Proceedings of the IECON 2016, 2016

2015

Low Rank Representation on Riemannian Manifold of Square Root Densities.

CoRR, 2015

Low Rank Representation on Riemannian Manifold of Symmetric Positive Definite Matrices.

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Active Class Discovery by Querying Pairwise Label Homogeneity.

Proceedings of the Data Science - Second International Conference, 2015

2014

Active Learning without Knowing Individual Instance Labels: A Pairwise Label Homogeneity Query Approach.

IEEE Trans. Knowl. Data Eng., 2014

Tensor LRR based subspace clustering.

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Joint multiple dictionary learning for Tensor sparse coding.

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Tensor Regression Based on Linked Multiway Parameter Analysis.

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

On verification of splines based intraoperative reconstruction of cardiac anatomy: Model research.

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013

Active Learning With Optimal Instance Subset Selection.

IEEE Trans. Cybernetics, 2013

A survey on instance selection for active learning.

Knowl. Inf. Syst., 2013

2011

Do they belong to the same class: active learning by querying pairwise label homogeneity.

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Optimal Subset Selection for Active Learning.

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011