| 2025 | CVPR | Query Efficient Black-Box Visual Prompting with Subspace Learning. | Zhaogeng Liu, Haozhen Zhang, Hualin Zhang, Xingchen Li, Wanli Shi, Bin Gu, Yi Chang |
| 2024 | AISTATS | Fast and Adversarial Robust Kernelized SDU Learning. | Yajing Fan, Wanli Shi, Yi Chang, Bin Gu |
| 2024 | AISTATS | Learning Sampling Policy to Achieve Fewer Queries for Zeroth-Order Optimization. | Zhou Zhai, Wanli Shi, Heng Huang, Yi Chang, Bin Gu |
| 2024 | ICML | Double Momentum Method for Lower-Level Constrained Bilevel Optimization. | Wanli Shi, Yi Chang, Bin Gu |
| 2023 | KDD | Self-Adaptive Perturbation Radii for Adversarial Training. | Huimin Wu, Wanli Shi, Chenkang Zhang, Bin Gu |
| 2023 | KDD | Doubly Robust AUC Optimization against Noisy and Adversarial Samples. | Chenkang Zhang, Wanli Shi, Lei Luo, Bin Gu |
| 2022 | ICML | Gradient-Free Method for Heavily Constrained Nonconvex Optimization. | Wanli Shi, Hongchang Gao, Bin Gu |
| 2022 | KDD | End-to-End Semi-Supervised Ordinal Regression AUC Maximization with Convolutional Kernel Networks. | Ziran Xiong, Wanli Shi, Bin Gu |
| 2021 | AAAI | Improved Penalty Method via Doubly Stochastic Gradients for Bilevel Hyperparameter Optimization. | Wanli Shi, Bin Gu |
| 2020 | AAAI | Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization. | Wanli Shi, Bin Gu, Xiang Li, Heng Huang |
| 2020 | KDD | Semi-Supervised Multi-Label Learning from Crowds via Deep Sequential Generative Model. | Wanli Shi, Victor S. Sheng, Xiang Li, Bin Gu |
| 2019 | IJCAI | Scalable Semi-Supervised SVM via Triply Stochastic Gradients. | Xiang Geng, Bin Gu, Xiang Li, Wanli Shi, Guansheng Zheng, Heng Huang |
| 2019 | IJCAI | Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization. | Wanli Shi, Bin Gu, Xiang Li, Xiang Geng, Heng Huang |