Wei Gao

Publication Activity (10 Years)

Years Active: 2009-2022
Publications (10 Years): 22

Top Topics

Optimization Model

Oblique Decision Trees

Top Venues

Publications

Shao-Qun Zhang, Wei Gao, Zhi-Hua Zhou
Towards understanding theoretical advantages of complex-reaction networks. Neural Networks 151 (2022)
Jie Li, Jun-Qi Guo, Wei Gao
Data Removal from an AUC Optimization Model. PAKDD (1) (2022)
Meng-Zhang Qian, Zheng Ai, Teng Zhang, Wei Gao
On the Optimization of Margin Distribution. IJCAI (2022)
Wei Gao, Fan Xu, Zhi-Hua Zhou
Towards convergence rate analysis of random forests for classification. Artif. Intell. 313 (2022)
Jun-Qi Guo, Ming-Zhuo Teng, Wei Gao, Zhi-Hua Zhou
Fast Provably Robust Decision Trees and Boosting. ICML (2022)
Wei Gao, Teng Zhang, Bin-Bin Yang, Zhi-Hua Zhou
On the noise estimation statistics. Artif. Intell. 293 (2021)
Wei Gao, Zhi-Hua Zhou
Towards Convergence Rate Analysis of Random Forests for Classification. NeurIPS (2020)
Song-Qing Shen, Bin-Bin Yang, Wei Gao
AUC Optimization with a Reject Option. AAAI (2020)
Sheng-Jun Huang, Wei Gao, Zhi-Hua Zhou
Fast Multi-Instance Multi-Label Learning. IEEE Trans. Pattern Anal. Mach. Intell. 41 (11) (2019)
Bin-Bin Yang, Wei Gao, Ming Li
On the Robust Splitting Criterion of Random Forest. ICDM (2019)
Bin-Bin Yang, Song-Qing Shen, Wei Gao
Weighted Oblique Decision Trees. AAAI (2019)
Dongdong Chen, Wei Wang, Wei Gao, Zhi-Hua Zhou
Tri-net for Semi-Supervised Deep Learning. IJCAI (2018)
Tong Wei, Lan-Zhe Guo, Yu-Feng Li, Wei Gao
Learning safe multi-label prediction for weakly labeled data. Mach. Learn. 107 (4) (2018)
Ming Pang, Wei Gao, Min Tao, Zhi-Hua Zhou
Unorganized Malicious Attacks Detection. NeurIPS (2018)
Mengchen Zhao, Bo An, Wei Gao, Teng Zhang
Efficient Label Contamination Attacks Against Black-Box Learning Models. IJCAI (2017)
Lech Szymanski, Brendan McCane, Wei Gao, Zhi-Hua Zhou
Effects of the optimisation of the margin distribution on generalisation in deep architectures. CoRR (2017)
Wei Gao, Lu Wang, Rong Jin, Shenghuo Zhu, Zhi-Hua Zhou
One-pass AUC optimization. Artif. Intell. 236 (2016)
Wei Gao, Xin-Yi Niu, Zhi-Hua Zhou
On the Consistency of Exact and Approximate Nearest Neighbor with Noisy Data. CoRR (2016)
Wei Gao, Zhi-Hua Zhou
Dropout Rademacher complexity of deep neural networks. Sci. China Inf. Sci. 59 (7) (2016)
Wei Gao, Lu Wang, Yu-Feng Li, Zhi-Hua Zhou
Risk Minimization in the Presence of Label Noise. AAAI (2016)
Ming Pang, Wei Gao, Min Tao, Zhi-Hua Zhou
Unorganized Malicious Attacks Detection. CoRR (2016)
Wei Gao, Xin-Yi Niu, Zhi-Hua Zhou
Learnability of Non-I.I.D. ACML (2016)
Wei Gao, Zhi-Hua Zhou
On the Consistency of AUC Pairwise Optimization. IJCAI (2015)
Yue Zhu, Wei Gao, Zhi-Hua Zhou
One-Pass Multi-View Learning. ACML (2015)
Sheng-Jun Huang, Wei Gao, Zhi-Hua Zhou
Fast Multi-Instance Multi-Label Learning. AAAI (2014)
Wei Gao, Zhi-Hua Zhou
Dropout Rademacher Complexity of Deep Neural Networks. CoRR (2014)
Wei Gao, Rong Jin, Shenghuo Zhu, Zhi-Hua Zhou
One-Pass AUC Optimization CoRR (2013)
Wei Gao, Zhi-Hua Zhou
On the doubt about margin explanation of boosting. Artif. Intell. 203 (2013)
Wei Gao, Zhi-Hua Zhou
Uniform Convergence, Stability and Learnability for Ranking Problems. IJCAI (2013)
Wei Gao, Rong Jin, Shenghuo Zhu, Zhi-Hua Zhou
One-Pass AUC Optimization. ICML (3) (2013)
Wei Gao, Zhi-Hua Zhou
On the consistency of multi-label learning. Artif. Intell. (2013)
Wei Gao, Zhi-Hua Zhou
On the consistency of AUC Optimization CoRR (2012)
Wei Gao, Zhi-Hua Zhou
On the Consistency of Multi-Label Learning. COLT (2011)
Wei Gao, Zhi-Hua Zhou
The kth, Median and Average Margin Bounds for AdaBoost CoRR (2010)
Wei Gao, Zhi-Hua Zhou
Approximation Stability and Boosting. ALT (2010)
Wei Gao, Qing-Hu Hou, Guoce Xin
On P-partitions related to ordinal sums of posets. Eur. J. Comb. 30 (5) (2009)