Scalable Semi-Supervised SVM via Triply Stochastic Gradients. - Xiang Geng; Bin Gu 001; Xiang Li 012; Wanli Shi; Guansheng Zheng; Heng Huang (IJCAI, 2019)

Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization. - Wanli Shi; Bin Gu 001; Xiang Li 012; Xiang Geng; Heng Huang (IJCAI, 2019)

Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization. - Wanli Shi; Bin Gu 001; Xiang Li 012; Heng Huang (AAAI, 2020)

Semi-Supervised Multi-Label Learning from Crowds via Deep Sequential Generative Model. - Wanli Shi; Victor S. Sheng; Xiang Li 012; Bin Gu 001 (KDD, 2020)

Improved Penalty Method via Doubly Stochastic Gradients for Bilevel Hyperparameter Optimization. - Wanli Shi; Bin Gu 001 (AAAI, 2021)

Deepbug: Bug Injection in Depth. - Wanli Shi; Guomiao Zhou; Zehui Wu; Huiyong Zhang (EITCE, 2021)

Triply stochastic gradient method for large-scale nonlinear similar unlabeled classification. - Wanli Shi; Bin Gu 001; Xiang Li 012; Cheng Deng; Heng Huang (Mach. Learn., 2021)

Solving large-scale support vector ordinal regression with asynchronous parallel coordinate descent algorithms. - Bin Gu 001; Xiang Geng; Wanli Shi; Yingying Shan; Yufang Huang; Zhijie Wang 003; Guansheng Zheng (Pattern Recognit., 2021)

Scalable Kernel Ordinal Regression via Doubly Stochastic Gradients. - Bin Gu 001; Xiang Geng; Xiang Li 012; Wanli Shi; Guansheng Zheng; Cheng Deng; Heng Huang (IEEE Trans. Neural Networks Learn. Syst., 2021)

Gradient-Free Method for Heavily Constrained Nonconvex Optimization. - Wanli Shi; Hongchang Gao; Bin Gu 001 (ICML, 2022)

End-to-End Semi-Supervised Ordinal Regression AUC Maximization with Convolutional Kernel Networks. - Ziran Xiong; Wanli Shi; Bin Gu 001 (KDD, 2022)

Self-Adaptive Perturbation Radii for Adversarial Training. - Huimin Wu; Wanli Shi; Chenkang Zhang; Bin Gu 001 (KDD, 2023)

Doubly Robust AUC Optimization against Noisy and Adversarial Samples. - Chenkang Zhang; Wanli Shi; Lei Luo 001; Bin Gu 001 (KDD, 2023)

Fast and Adversarial Robust Kernelized SDU Learning. - Yajing Fan; Wanli Shi; Yi Chang 001; Bin Gu 001 (AISTATS, 2024)

Learning Sampling Policy to Achieve Fewer Queries for Zeroth-Order Optimization. - Zhou Zhai; Wanli Shi; Heng Huang; Yi Chang 001; Bin Gu 001 (AISTATS, 2024)

Double Momentum Method for Lower-Level Constrained Bilevel Optimization. - Wanli Shi; Yi Chang 001; Bin Gu 001 (ICML, 2024)

Deep Learning Driven Human Posture Location in Physical Education Teaching. - Shaohua Wang; Wanli Shi (J. Multim. Inf. Syst., 2024)

Query Efficient Black-Box Visual Prompting with Subspace Learning. - Zhaogeng Liu; Haozhen Zhang; Hualin Zhang; Xingchen Li; Wanli Shi; Bin Gu 001; Yi Chang 001 (CVPR, 2025)