Wanli Shi

发表

End-to-End Semi-Supervised Ordinal Regression AUC Maximization with Convolutional Kernel Networks

Bin Gu, Ziran Xiong, Wanli Shi, 2022, KDD.

Gradient-Free Method for Heavily Constrained Nonconvex Optimization

Bin Gu, Hongchang Gao, Wanli Shi, 2022, ICML.

Scalable Semi-Supervised SVM via Triply Stochastic Gradients

Bin Gu, Xiang Li, Wanli Shi, 2019, IJCAI.

Semi-Supervised Multi-Label Learning from Crowds via Deep Sequential Generative Model

Victor S. Sheng, Bin Gu, Wanli Shi, 2020, KDD.

Solving large-scale support vector ordinal regression with asynchronous parallel coordinate descent algorithms

Zhijie Wang, Xiang Geng, Yufang Huang, 2021, Pattern Recognit..

Scalable Kernel Ordinal Regression via Doubly Stochastic Gradients

Xiang Li, Cheng Deng, Xiang Geng, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization

Bin Gu, Heng Huang, Xiang Li, 2019, IJCAI.

Self-Adaptive Perturbation Radii for Adversarial Training

Huisi Wu, Bin Gu, Chenkang Zhang, 2023, KDD.

Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization

Heng Huang, Wanli Shi, Bin Gu, 2019, AAAI.

Improved Penalty Method via Doubly Stochastic Gradients for Bilevel Hyperparameter Optimization

Bin Gu, Wanli Shi, Bin Gu, 2021, AAAI.

Doubly Robust AUC Optimization against Noisy and Adversarial Samples

Bin Gu, Chenkang Zhang, Wanli Shi, 2023, KDD.