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Wei Gao 0008
Person information
- affiliation: Nanjing University, National Key Laboratory for Novel Software Technology, China
Other persons with the same name
- Wei Gao — disambiguation page
- Wei Gao 0001
— Singapore Management University (and 3 more)
- Wei Gao 0002
- Wei Gao 0003
- Wei Gao 0004
- Wei Gao 0005
- Wei Gao 0006
- Wei Gao 0007 — Ludong University, School of Mathematics and Statistics, Yantai, China (and 4 more)
- Wei Gao 0009
- Wei Gao 0010
- Wei Gao 0011 — State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou, China
- Wei Gao 0012
- Wei Gao 0013
- Wei Gao 0014
- Wei Gao 0015
- Wei Gao 0016 — Inner Mongolia University, School of Mathematical Sciences, Hohhot, China
- Wei Gao 0017
- Wei Gao 0018
- Wei Gao 0019
- Wei Gao 0020 — University of Arizona, Tucson, AZ, USA
- Wei Gao 0021
- Wei Gao 0022
- Wei Gao 0023
- Wei Gao 0024
- Wei Gao 0025
- Wei Gao 0026
- Wei Gao 0027
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2020 – today
- 2025
- [j12]Fan Xu, Zhijian Zhou, Jie Ni, Wei Gao:
Interpretation with baseline shapley value for feature groups on tree models. Frontiers Comput. Sci. 19(5): 195316 (2025) - 2023
- [c20]Xinran Xie, Man-Jie Yuan, Xuetong Bai, Wei Gao, Zhi-Hua Zhou:
On the Gini-impurity Preservation For Privacy Random Forests. NeurIPS 2023 - 2022
- [j11]Wei Gao, Fan Xu
Towards convergence rate analysis of random forests for classification. Artif. Intell. 313: 103788 (2022) - [j10]Shao-Qun Zhang
Towards understanding theoretical advantages of complex-reaction networks. Neural Networks 151: 80-93 (2022) - [j9]Songtao Han, Haijun Man, Mei Wang, Zhi-Hua Zhou, Jianfeng Cao
Analysis and Demonstration of First Cross-Support Interferometry Tracking in China Mars Mission. Remote. Sens. 14(16): 4117 (2022) - [c19]Jun-Qi Guo, Ming-Zhuo Teng, Wei Gao, Zhi-Hua Zhou:
Fast Provably Robust Decision Trees and Boosting. ICML 2022: 8127-8144 - [c18]Meng-Zhang Qian, Zheng Ai, Teng Zhang, Wei Gao:
On the Optimization of Margin Distribution. IJCAI 2022: 3387-3393 - [c17]Jie Li, Jun-Qi Guo, Wei Gao:
Data Removal from an AUC Optimization Model. PAKDD (1) 2022: 221-235 - [i8]Meng-Zhang Qian, Zheng Ai, Teng Zhang, Wei Gao:
On the Optimization of Margin Distribution. CoRR abs/2204.14118 (2022) - 2021
- [j8]Wei Gao, Teng Zhang, Bin-Bin Yang, Zhi-Hua Zhou:
On the noise estimation statistics. Artif. Intell. 293: 103451 (2021) - 2020
- [c16]Song-Qing Shen, Bin-Bin Yang, Wei Gao:
AUC Optimization with a Reject Option. AAAI 2020: 5684-5691 - [c15]Wei Gao, Zhi-Hua Zhou:
Towards Convergence Rate Analysis of Random Forests for Classification. NeurIPS 2020
2010 – 2019
- 2019
- [j7]Sheng-Jun Huang
Fast Multi-Instance Multi-Label Learning. IEEE Trans. Pattern Anal. Mach. Intell. 41(11): 2614-2627 (2019) - [c14]Bin-Bin Yang, Song-Qing Shen, Wei Gao:
Weighted Oblique Decision Trees. AAAI 2019: 5621-5627 - [c13]Bin-Bin Yang, Wei Gao, Ming Li:
On the Robust Splitting Criterion of Random Forest. ICDM 2019: 1420-1425 - 2018
- [j6]Tong Wei, Lan-Zhe Guo, Yufeng Li, Wei Gao:
Learning safe multi-label prediction for weakly labeled data. Mach. Learn. 107(4): 703-725 (2018) - [c12]Dongdong Chen, Wei Wang, Wei Gao, Zhi-Hua Zhou:
Tri-net for Semi-Supervised Deep Learning. IJCAI 2018: 2014-2020 - [c11]Ming Pang, Wei Gao, Min Tao, Zhi-Hua Zhou:
Unorganized Malicious Attacks Detection. NeurIPS 2018: 6976-6985 - 2017
- [c10]Mengchen Zhao, Bo An, Wei Gao, Teng Zhang:
Efficient Label Contamination Attacks Against Black-Box Learning Models. IJCAI 2017: 3945-3951 - [i7]Lech Szymanski, Brendan McCane, Wei Gao, Zhi-Hua Zhou:
Effects of the optimisation of the margin distribution on generalisation in deep architectures. CoRR abs/1704.05646 (2017) - 2016
- [j5]Wei Gao, Lu Wang
One-pass AUC optimization. Artif. Intell. 236: 1-29 (2016) - [j4]Wei Gao, Zhi-Hua Zhou:
Dropout Rademacher complexity of deep neural networks. Sci. China Inf. Sci. 59(7): 072104:1-072104:12 (2016) - [c9]Wei Gao, Lu Wang
Risk Minimization in the Presence of Label Noise. AAAI 2016: 1575-1581 - [c8]Wei Gao, Xin-Yi Niu, Zhi-Hua Zhou:
Learnability of Non-I.I.D. ACML 2016: 158-173 - [i6]Wei Gao, Xin-Yi Niu, Zhi-Hua Zhou:
On the Consistency of Exact and Approximate Nearest Neighbor with Noisy Data. CoRR abs/1607.07526 (2016) - [i5]Ming Pang, Wei Gao, Min Tao, Zhi-Hua Zhou:
Unorganized Malicious Attacks Detection. CoRR abs/1610.04086 (2016) - 2015
- [c7]Yue Zhu, Wei Gao, Zhi-Hua Zhou:
One-Pass Multi-View Learning. ACML 2015: 407-422 - [c6]Wei Gao, Zhi-Hua Zhou:
On the Consistency of AUC Pairwise Optimization. IJCAI 2015: 939-945 - 2014
- [c5]Sheng-Jun Huang, Wei Gao, Zhi-Hua Zhou:
Fast Multi-Instance Multi-Label Learning. AAAI 2014: 1868-1874 - [i4]Wei Gao, Zhi-Hua Zhou:
Dropout Rademacher Complexity of Deep Neural Networks. CoRR abs/1402.3811 (2014) - 2013
- [j3]Wei Gao, Zhi-Hua Zhou:
On the consistency of multi-label learning. Artif. Intell. 199-200: 22-44 (2013) - [j2]Wei Gao, Zhi-Hua Zhou:
On the doubt about margin explanation of boosting. Artif. Intell. 203: 1-18 (2013) - [c4]Wei Gao, Rong Jin, Shenghuo Zhu, Zhi-Hua Zhou:
One-Pass AUC Optimization. ICML (3) 2013: 906-914 - [c3]Wei Gao, Zhi-Hua Zhou:
Uniform Convergence, Stability and Learnability for Ranking Problems. IJCAI 2013: 1337-1343 - [i3]Wei Gao, Rong Jin, Shenghuo Zhu, Zhi-Hua Zhou:
One-Pass AUC Optimization. CoRR abs/1305.1363 (2013) - 2012
- [i2]Wei Gao, Zhi-Hua Zhou:
On the consistency of AUC Optimization. CoRR abs/1208.0645 (2012) - 2011
- [c2]Wei Gao, Zhi-Hua Zhou:
On the Consistency of Multi-Label Learning. COLT 2011: 341-358 - 2010
- [c1]Wei Gao, Zhi-Hua Zhou:
Approximation Stability and Boosting. ALT 2010: 59-73 - [i1]Wei Gao, Zhi-Hua Zhou:
The kth, Median and Average Margin Bounds for AdaBoost. CoRR abs/1009.3613 (2010)
2000 – 2009
- 2009
- [j1]Wei Gao, Qing-Hu Hou, Guoce Xin:
On P-partitions related to ordinal sums of posets. Eur. J. Comb. 30(5): 1370-1381 (2009)
Coauthor Index
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