Wanli Shi

24 papers A* 11A 2Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Raw event-based adversarial attacks for Spiking Neural Networks with configurable latencies.
Neural Networks
Xiao Du, Wanli Shi, Xiaohan Zhao, Yang Cao, Bin Gu, Tieru Wu
2025 A* conf
Query Efficient Black-Box Visual Prompting with Subspace Learning.
CVPR
Zhaogeng Liu, Haozhen Zhang, Hualin Zhang, Xingchen Li, Wanli Shi, Bin Gu, Yi Chang
2024 J jnl
Deep Learning Driven Human Posture Location in Physical Education Teaching.
J. Multim. Inf. Syst.
Shaohua Wang, Wanli Shi
2024 A* conf
Double Momentum Method for Lower-Level Constrained Bilevel Optimization.
ICML
Wanli Shi, Yi Chang, Bin Gu
2024 J jnl
Double Momentum Method for Lower-Level Constrained Bilevel Optimization.
CoRR
Wanli Shi, Yi Chang, Bin Gu
2024 A conf
Fast and Adversarial Robust Kernelized SDU Learning.
AISTATS
Yajing Fan, Wanli Shi, Yi Chang, Bin Gu
2024 J jnl
Gradient-Free Method for Heavily Constrained Nonconvex Optimization.
CoRR
Wanli Shi, Hongchang Gao, Bin Gu
2024 A conf
Learning Sampling Policy to Achieve Fewer Queries for Zeroth-Order Optimization.
AISTATS
Zhou Zhai, Wanli Shi, Heng Huang, Yi Chang, Bin Gu
2023 A* conf
Doubly Robust AUC Optimization against Noisy and Adversarial Samples.
KDD
Chenkang Zhang, Wanli Shi, Lei Luo, Bin Gu
2023 A* conf
Self-Adaptive Perturbation Radii for Adversarial Training.
KDD
Huimin Wu, Wanli Shi, Chenkang Zhang, Bin Gu
2022 A* conf
End-to-End Semi-Supervised Ordinal Regression AUC Maximization with Convolutional Kernel Networks.
KDD
Ziran Xiong, Wanli Shi, Bin Gu
2022 A* conf
Gradient-Free Method for Heavily Constrained Nonconvex Optimization.
ICML
Wanli Shi, Hongchang Gao, Bin Gu
2021 — conf
Deepbug: Bug Injection in Depth.
EITCE
Wanli Shi, Guomiao Zhou, Zehui Wu, Huiyong Zhang
2021 A* conf
Improved Penalty Method via Doubly Stochastic Gradients for Bilevel Hyperparameter Optimization.
AAAI
Wanli Shi, Bin Gu
2021 J jnl
Scalable Kernel Ordinal Regression via Doubly Stochastic Gradients.
IEEE Trans. Neural Networks Learn. Syst.
Bin Gu, Xiang Geng, Xiang Li, Wanli Shi, Guansheng Zheng, Cheng Deng, Heng Huang
2021 J jnl
Solving large-scale support vector ordinal regression with asynchronous parallel coordinate descent algorithms.
Pattern Recognit.
Bin Gu, Xiang Geng, Wanli Shi, Yingying Shan, Yufang Huang, Zhijie Wang, Guansheng Zheng
2021 J jnl
Triply stochastic gradient method for large-scale nonlinear similar unlabeled classification.
Mach. Learn.
Wanli Shi, Bin Gu, Xiang Li, Cheng Deng, Heng Huang
2020 A* conf
Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization.
AAAI
Wanli Shi, Bin Gu, Xiang Li, Heng Huang
2020 A* conf
Semi-Supervised Multi-Label Learning from Crowds via Deep Sequential Generative Model.
KDD
Wanli Shi, Victor S. Sheng, Xiang Li, Bin Gu
2019 J jnl
Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization.
CoRR
Wanli Shi, Bin Gu, Xiang Li, Heng Huang
2019 A* conf
Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization.
IJCAI
Wanli Shi, Bin Gu, Xiang Li, Xiang Geng, Heng Huang
2019 J jnl
Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization.
CoRR
Wanli Shi, Bin Gu, Xiang Li, Xiang Geng, Heng Huang
2019 A* conf
Scalable Semi-Supervised SVM via Triply Stochastic Gradients.
IJCAI
Xiang Geng, Bin Gu, Xiang Li, Wanli Shi, Guansheng Zheng, Heng Huang
2019 J jnl
Scalable Semi-Supervised SVM via Triply Stochastic Gradients.
CoRR
Xiang Geng, Bin Gu, Xiang Li, Wanli Shi, Guansheng Zheng, Heng Huang