Jun Wang

According to our database, Jun Wang authored at least 14 papers between 2008 and 2016.

Collaborative distances:

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

2016

Factorizing LambdaMART for cold start recommendations.

Phong Nguyen, Jun Wang, Alexandros Kalousis

Mach. Learn., 2016

2015

Learning vector autoregressive models with focalised Granger-causality graphs.

Magda Gregorova, Alexandros Kalousis, Stéphane Marchand-Maillet, Jun Wang

CoRR, 2015

Space-Time Local Embeddings.

Ke Sun, Jun Wang, Alexandros Kalousis, Stéphane Marchand-Maillet

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Information Geometry and Minimum Description Length Networks.

Ke Sun, Jun Wang, Alexandros Kalousis, Stéphane Marchand-Maillet

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

Two-Stage Metric Learning.

Jun Wang, Ke Sun, Fei Sha, Stéphane Marchand-Maillet, Alexandros Kalousis

Proceedings of the 31th International Conference on Machine Learning, 2014

2012

A metric learning perspective of SVM: on the relation of LMNN and SVM.

Huyen Do, Alexandros Kalousis, Jun Wang, Adam Woznica

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Structuring Relevant Feature Sets with Multiple Model Learning

Jun Wang, Alexandros Kalousis

CoRR, 2012

A metric learning perspective of SVM: on the relation of SVM and LMNN

Huyen Do, Alexandros Kalousis, Jun Wang, Adam Woznica

CoRR, 2012

Learning Neighborhoods for Metric Learning.

Jun Wang, Adam Woznica, Alexandros Kalousis

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Parametric Local Metric Learning for Nearest Neighbor Classification.

Jun Wang, Alexandros Kalousis, Adam Woznica

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Learning Heterogeneous Similarity Measures for Hybrid-Recommendations in Meta-Mining.

Phong Nguyen, Jun Wang, Melanie Hilario, Alexandros Kalousis

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

2011

Metric Learning with Multiple Kernels.

Jun Wang, Huyen Do, Adam Woznica, Alexandros Kalousis

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2009

IPCM Separability Ratio for Supervised Feature Selection.

Wing W. Y. Ng, Jun Wang, Daniel S. Yeung

Proceedings of the IEEE International Conference on Systems, 2009

2008

Localized generalization error based active learning for image annotation.

Binbin Sun, Wing W. Y. Ng, Daniel S. Yeung, Jun Wang

Proceedings of the IEEE International Conference on Systems, 2008