On P-partitions related to ordinal sums of posets. - Wei Gao 008; Qing-Hu Hou; Guoce Xin (Eur. J. Comb., 2009)

Approximation Stability and Boosting. - Wei Gao 008; Zhi-Hua Zhou (ALT, 2010)

The kth, Median and Average Margin Bounds for AdaBoost - Wei Gao 008; Zhi-Hua Zhou (CoRR, 2010)

On the consistency of AUC Optimization - Wei Gao 008; Zhi-Hua Zhou (CoRR, 2012)

One-Pass AUC Optimization. - Wei Gao 008; Rong Jin 001; Shenghuo Zhu; Zhi-Hua Zhou (ICML (3), 2013)

Uniform Convergence, Stability and Learnability for Ranking Problems. - Wei Gao 008; Zhi-Hua Zhou (IJCAI, 2013)

On the consistency of multi-label learning. - Wei Gao 008; Zhi-Hua Zhou (Artif. Intell., 2013)

On the doubt about margin explanation of boosting. - Wei Gao 008; Zhi-Hua Zhou (Artif. Intell., 2013)

One-Pass Multi-View Learning. - Yue Zhu 001; Wei Gao 008; Zhi-Hua Zhou (ACML, 2015)

On the Consistency of AUC Pairwise Optimization. - Wei Gao 008; Zhi-Hua Zhou (IJCAI, 2015)

Risk Minimization in the Presence of Label Noise. - Wei Gao 008; Lu Wang 031; Yufeng Li 008; Zhi-Hua Zhou (AAAI, 2016)

Learnability of Non-I.I.D. - Wei Gao 008; Xin-Yi Niu; Zhi-Hua Zhou (ACML, 2016)

One-pass AUC optimization. - Wei Gao 008; Lu Wang 031; Rong Jin 001; Shenghuo Zhu; Zhi-Hua Zhou (Artif. Intell., 2016)

Dropout Rademacher complexity of deep neural networks. - Wei Gao 008; Zhi-Hua Zhou (Sci. China Inf. Sci., 2016)

On the Consistency of Exact and Approximate Nearest Neighbor with Noisy Data. - Wei Gao 008; Xin-Yi Niu; Zhi-Hua Zhou (CoRR, 2016)

Efficient Label Contamination Attacks Against Black-Box Learning Models. - Mengchen Zhao; Bo An 001; Wei Gao 008; Teng Zhang 001 (IJCAI, 2017)

Effects of the optimisation of the margin distribution on generalisation in deep architectures. - Lech Szymanski; Brendan McCane; Wei Gao 008; Zhi-Hua Zhou (CoRR, 2017)

Tri-net for Semi-Supervised Deep Learning. - Dongdong Chen; Wei Wang 028; Wei Gao 008; Zhi-Hua Zhou (IJCAI, 2018)

Unorganized Malicious Attacks Detection. - Ming Pang; Wei Gao 008; Min Tao; Zhi-Hua Zhou (NeurIPS, 2018)

Learning safe multi-label prediction for weakly labeled data. - Tong Wei 001; Lan-Zhe Guo; Yufeng Li 008; Wei Gao 008 (Mach. Learn., 2018)

Weighted Oblique Decision Trees. - Bin-Bin Yang; Song-Qing Shen; Wei Gao 008 (AAAI, 2019)

On the Robust Splitting Criterion of Random Forest. - Bin-Bin Yang; Wei Gao 008; Ming Li 005 (ICDM, 2019)

Fast Multi-Instance Multi-Label Learning. - Sheng-Jun Huang; Wei Gao 008; Zhi-Hua Zhou (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

AUC Optimization with a Reject Option. - Song-Qing Shen; Bin-Bin Yang; Wei Gao 008 (AAAI, 2020)

Towards Convergence Rate Analysis of Random Forests for Classification. - Wei Gao 008; Zhi-Hua Zhou (NeurIPS, 2020)

On the noise estimation statistics. - Wei Gao 008; Teng Zhang 001; Bin-Bin Yang; Zhi-Hua Zhou (Artif. Intell., 2021)

Fast Provably Robust Decision Trees and Boosting. - Jun-Qi Guo; Ming-Zhuo Teng; Wei Gao 008; Zhi-Hua Zhou (ICML, 2022)

On the Optimization of Margin Distribution. - Meng-Zhang Qian; Zheng Ai; Teng Zhang 001; Wei Gao 008 (IJCAI, 2022)

Data Removal from an AUC Optimization Model. - Jie Li; Jun-Qi Guo; Wei Gao 008 (PAKDD (1), 2022)

Towards convergence rate analysis of random forests for classification. - Wei Gao 008; Fan Xu 010; Zhi-Hua Zhou (Artif. Intell., 2022)

Towards understanding theoretical advantages of complex-reaction networks. - Shao-Qun Zhang; Wei Gao 008; Zhi-Hua Zhou (Neural Networks, 2022)

Analysis and Demonstration of First Cross-Support Interferometry Tracking in China Mars Mission. - Songtao Han; Haijun Man; Mei Wang; Zhi-Hua Zhou; Jianfeng Cao; Wei Gao 008; Lue Chen; Jinsong Ping (Remote. Sens., 2022)

On the Gini-impurity Preservation For Privacy Random Forests. - Xinran Xie; Man-Jie Yuan; Xuetong Bai; Wei Gao 008; Zhi-Hua Zhou (NeurIPS, 2023)

On the Learning with Augmented Class via Forests. - Fan Xu; Wuyang Chen; Wei Gao 008 (CoRR, 2025)

Interpretation with baseline shapley value for feature groups on tree models. - Fan Xu; Zhijian Zhou; Jie Ni; Wei Gao 008 (Frontiers Comput. Sci., 2025)