Wei Gao
Ph.D. Assistant Researcher

LAMDA Group,
Department of Computer Science and Technology ,
Nanjing University , Nanjing, China
Email: gaow(at)lamda(dot)nju(dot)edu(dot)cn


Sections:                                           

[ Biography ]

[ Research Interest ]

[ Publication ]


Biogeraphy

Currently I am an assistant researcher of Department of Computer Science and Technology in Nanjing University and a member of LAMDA Group, led by professor Zhi-Hua Zhou.

Before that, I received my M.Sc. degree in the Center for Combinatorics, Nankai University in June 2009 and I received my Ph.D. degree from Nanjing University in June 2014.


Research Interest

My research interests include: Learning Theory.


Publication
    

W. Gao, and Z.-H. Zhou. Dropout radermacher complexity of deep neural networks. Science China: Information Sciences 59:072104(12) 2016.

W. Gao, and Z.-H. Zhou. One-Pass AUC Optimization. Artificial Intelligence 236:1-29 2016.

W. Gao, L. Wang, Y.-F. Li and Z.-H. Zhou. Risk minimization in the presence of label noise. In: Proceedings of the 30th AAAI Conference on Artificial Intelligence  (AAAI'16), Phoenix, AZ 2016.

W. Gao, and Z.-H. Zhou. On the consistency of AUC pairwise optimization. In: Proceedings of the 24th International Joint Conference on Artificial Intelligence  (IJCAI'15), Buenos Aires, Argentina 2015.

W. Gao and Z.-H. Zhou. On the doubt about margin explanation of boosting. Artificial Intelligence 203:1-18 2013.

W. Gao and Z.-H. Zhou. On the Consistency of Multi-label learning. Artificial Intelligence 199-200:22-44 2013.

W. Gao, R. Jin, S. Zhu and Z.-H. Zhou. One-pass AUC optimization. In: Proceedings of the 30th Annual Conference on machine Learning  (ICML'13), Atlanta GA 2013.

W. Gao and Z.-H. Zhou. Uniform convergence, statiliby and learnability for ranking problems. In: Proceedings of the 23rd International Joint Conference on Artificial Intelligence  (IJCAI'13), Beijing, China. [Best presentation]

W. Gao and Z.-H. Zhou. On the consistency of multi-label learning. In: Proceedings of the 24th Annual Conference on Learning Theory  (COLT'11), Budapest, Hungary, 2011.

W. Gao and Z.-H. Zhou. Approximation Stability and Boosting. In: Proceedings of the 21st International Conference on Algorithmic Learning Theory (ALT'10), Canberra, Australia, 2010.

W. Gao, Q.-H. Hou and G. Xin. On P-partitions related to ordinal sums of posets. European Journal of Combinatorics, 30:1370-1381 2009.


last modified@2015-10-29