Shi, Wanli

10 publications

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

ICML 2024 Double Momentum Method for Lower-Level Constrained Bilevel Optimization Wanli Shi, Yi Chang, Bin Gu

AISTATS 2024 Fast and Adversarial Robust Kernelized SDU Learning Yajing Fan, Wanli Shi, Yi Chang, Bin Gu

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

ICML 2022 Gradient-Free Method for Heavily Constrained Nonconvex Optimization Wanli Shi, Hongchang Gao, Bin Gu

AAAI 2021 Improved Penalty Method via Doubly Stochastic Gradients for Bilevel Hyperparameter Optimization Wanli Shi, Bin Gu

MLJ 2021 Triply Stochastic Gradient Method for Large-Scale Nonlinear Similar Unlabeled Classification Wanli Shi, Bin Gu, Xiang Li, Cheng Deng, Heng Huang

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

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

IJCAI 2019 Scalable Semi-Supervised SVM via Triply Stochastic Gradients Xiang Geng, Bin Gu, Xiang Li, Wanli Shi, Guansheng Zheng, Heng Huang