Yi Zhang

Affiliations:
  • Carnegie Mellon University, School of Computer Science, Pittsburgh, USA


According to our database1, Yi Zhang authored at least 14 papers between 2006 and 2012.

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

2012
Learning with Limited Supervision by Input and Output Coding.
PhD thesis, 2012

A Composite Likelihood View for Multi-Label Classification.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Maximum Margin Output Coding.
Proceedings of the 29th International Conference on Machine Learning, 2012

2011
Multi-Label Output Codes using Canonical Correlation Analysis.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

2010
Learning Compressible Models.
Proceedings of the SIAM International Conference on Data Mining, 2010

Learning Multiple Tasks with a Sparse Matrix-Normal Penalty.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Projection Penalties: Dimension Reduction without Loss.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Multi-Task Active Learning with Output Constraints.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
Smart PCA.
Proceedings of the IJCAI 2009, 2009

2008
Learning the Semantic Correlation: An Alternative Way to Gain from Unlabeled Text.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2007
Collective Behavior of a Small-World Recurrent Neural System With Scale-Free Distribution.
IEEE Trans. Neural Networks, 2007

Concept Sampling: Towards Systematic Selection in Large-Scale Mixed Concepts in Machine Learning.
Proceedings of the IJCAI 2007, 2007

2006
An automatic construction and organization strategy for ensemble learning on data streams.
SIGMOD Rec., 2006

Complex Systems Modeling Using Scale-Free Highly-Clustered Echo State Network.
Proceedings of the International Joint Conference on Neural Networks, 2006


  Loading...