| Currently I am an Associate Professor of School of Artificial Intelligence 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. |
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| My research interests include: Learning Theory. |
Publication [* denotes my student]
W. Gao, T. Zhang, B.-B. Yang and Z.-H. Zhou. On the Noise Estimation Statistics. Artificial Intelligence 293: 103451, 2021. W. Gao and Z.-H. Zhou. Towards convergence rate analysis of random forests for classification. Advances in Neural Information Processing Systems 33 (NeurIPS'20), Vancouver, Canada, 2020. S.-Q. Shen*, B.-B. Yang* and W. Gao. AUC Optimization with a Reject Option. In: Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI'20), New York, NY, 2020. B.-B. Yang*, W. Gao and M. Li. On the Robust Splitting Criterion of Random Forest. In: Proceedings of the 19th IEEE International Conference on Data Mining ((ICDM'19), Beijing, China, 2019. B.-B. Yang*, S.-Q. Shen* and W. Gao. Weighted Oblique Decision Trees. In: Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI'19), Honolulu, HW, 2019. M. Pang, W. Gao, M. Tao, Z.-H. Zhou. Unorganized malicious attacks detection. In: Advances in Neural Information Processing Systems 31 (NIPS'18), Montreal, Canada, 2018. 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.
| Sections: [ Biography ] [ Research Interest ] [ Publication ] |
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| Wei Gao | ||
| Ph.D. Associate Professor LAMDA Group School of Artificial Intelligence Nanjing University , Nanjing, China Email: gaow(at)nju(dot)edu(dot)cn |
