Former Members

Dr.
Jun Wang

Bio

Jun Wang did his PhD in machine learning in the department of Computer Science of the University of Geneva under the supervision of Alexandros Kalousis. His research focused on metric learning. Since the end of the Phd he is with the Expedia Machine Learning team working on recommendation and ranking.

Research

PhD Thesis : Improved Distance Metric Learning for Nearest Neighbor Classification, University of Geneva, Computer Science Department, 2015.

Publications

2016

Factorizing LambdaMART for cold start recommendations Journal Article

Nguyen, Phong; Wang, Jun; Kalousis, Alexandros

Machine Learning, 104 (2-3), pp. 223–242, 2016.

Abstract | Links | BibTeX

2015

Improved Distance Metric Learning for Nearest Neighbor Classification PhD Thesis

Wang, Jun

Phd Thesis, University of Geneva, Computer Science Department, 2015, (ID: unige:76989).

Abstract | Links | BibTeX

Information Geometry and Minimum Description Length Networks Inproceedings

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

Proceedings of the 32nd International Conference on Machine Learning, ICML 2015, Lille, France, 6-11 July 2015, pp. 49–58, 2015.

Abstract | Links | BibTeX

Space-Time Local Embeddings Inproceedings

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

Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, December 7-12, 2015, Montreal, Quebec, Canada, pp. 100–108, 2015.

Abstract | Links | BibTeX

2014

Two-Stage Metric Learning Inproceedings

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

Proceedings of the 31th International Conference on Machine Learning, ICML 2014, Beijing, China, 21-26 June 2014, pp. 370–378, 2014.

Links | BibTeX

2012

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

Nguyen, Phong; Wang, Jun; Hilario, Melanie; Kalousis, Alexandros

12th IEEE International Conference on Data Mining, ICDM 2012, Brussels, Belgium, December 10-13, 2012, pp. 1026–1031, 2012.

Links | BibTeX

Parametric Local Metric Learning for Nearest Neighbor Classification Inproceedings

Wang, Jun; Kalousis, Alexandros; Woznica, Adam

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, Lake Tahoe, Nevada, United States., pp. 1610–1618, 2012.

Links | BibTeX

Learning Neighborhoods for Metric Learning Inproceedings

Wang, Jun; Woznica, Adam; Kalousis, Alexandros

Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2012, Bristol, UK, September 24-28, 2012. Proceedings, Part I, pp. 223–236, 2012.

Links | BibTeX

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

Do, Huyen; Kalousis, Alexandros; Wang, Jun; Woznica, Adam

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, AISTATS 2012, La Palma, Canary Islands, April 21-23, 2012, pp. 308–317, 2012.

Links | BibTeX

2011

Metric Learning with Multiple Kernels Inproceedings

Wang, Jun; Do, Huyen; Woznica, Adam; Kalousis, Alexandros

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, Granada, Spain., pp. 1170–1178, 2011.

Links | BibTeX