Jun Wang

Publication Activity (10 Years)

Years Active: 2008-2016
Publications (10 Years): 1

Top Topics

Metric Learning

Nearest Neighbor Classification

Margin Maximization

Top Venues

Publications

Phong Nguyen, Jun Wang, Alexandros Kalousis
Factorizing LambdaMART for cold start recommendations. Mach. Learn. 104 (2-3) (2016)
Ke Sun, Jun Wang, Alexandros Kalousis, Stéphane Marchand-Maillet
Information Geometry and Minimum Description Length Networks. ICML (2015)
Magda Gregorova, Alexandros Kalousis, Stéphane Marchand-Maillet, Jun Wang
Learning vector autoregressive models with focalised Granger-causality graphs. CoRR (2015)
Phong Nguyen, Jun Wang, Alexandros Kalousis
Factorizing LambdaMART for cold start recommendations. CoRR (2015)
Ke Sun, Jun Wang, Alexandros Kalousis, Stéphane Marchand-Maillet
Space-Time Local Embeddings. NIPS (2015)
Jun Wang, Ke Sun, Fei Sha, Stéphane Marchand-Maillet, Alexandros Kalousis
Two-Stage Metric Learning. ICML (2014)
Jun Wang, Ke Sun, Fei Sha, Stéphane Marchand-Maillet, Alexandros Kalousis
Two-Stage Metric Learning. CoRR (2014)
Jun Wang, Alexandros Kalousis, Adam Woznica
Parametric Local Metric Learning for Nearest Neighbor Classification. NIPS (2012)
Jun Wang, Alexandros Kalousis
Structuring Relevant Feature Sets with Multiple Model Learning CoRR (2012)
Jun Wang, Adam Woznica, Alexandros Kalousis
Learning Neighborhoods for Metric Learning. CoRR (2012)
Phong Nguyen, Jun Wang, Melanie Hilario, Alexandros Kalousis
Learning Heterogeneous Similarity Measures for Hybrid-Recommendations in Meta-Mining CoRR (2012)
Huyen Do, Alexandros Kalousis, Jun Wang, Adam Woznica
A metric learning perspective of SVM: on the relation of SVM and LMNN CoRR (2012)
Phong Nguyen, Jun Wang, Melanie Hilario, Alexandros Kalousis
Learning Heterogeneous Similarity Measures for Hybrid-Recommendations in Meta-Mining. ICDM (2012)
Jun Wang, Adam Woznica, Alexandros Kalousis
Learning Neighborhoods for Metric Learning. ECML/PKDD (1) (2012)
Jun Wang, Adam Woznica, Alexandros Kalousis
Parametric Local Metric Learning for Nearest Neighbor Classification CoRR (2012)
Huyen Do, Alexandros Kalousis, Jun Wang, Adam Woznica
A metric learning perspective of SVM: on the relation of LMNN and SVM. AISTATS (2012)
Jun Wang, Huyen Do, Adam Woznica, Alexandros Kalousis
Metric Learning with Multiple Kernels. NIPS (2011)
Wing W. Y. Ng, Jun Wang, Daniel S. Yeung
IPCM Separability Ratio for Supervised Feature Selection. SMC (2009)
Binbin Sun, Wing W. Y. Ng, Daniel S. Yeung, Jun Wang
Localized generalization error based active learning for image annotation. SMC (2008)