Wanli Shi

According to our database, Wanli Shi authored at least 17 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Deep Learning Driven Human Posture Location in Physical Education Teaching.

Shaohua Wang, Wanli Shi

J. Multim. Inf. Syst., 2024

Double Momentum Method for Lower-Level Constrained Bilevel Optimization.

Wanli Shi, Yi Chang, Bin Gu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning Sampling Policy to Achieve Fewer Queries for Zeroth-Order Optimization.

Zhou Zhai, Wanli Shi, Heng Huang, Yi Chang, Bin Gu

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Fast and Adversarial Robust Kernelized SDU Learning.

Yajing Fan, Wanli Shi, Yi Chang, Bin Gu

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Doubly Robust AUC Optimization against Noisy and Adversarial Samples.

Chenkang Zhang, Wanli Shi, Lei Luo, Bin Gu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Self-Adaptive Perturbation Radii for Adversarial Training.

Huimin Wu, Wanli Shi, Chenkang Zhang, Bin Gu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

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

Ziran Xiong, Wanli Shi, Bin Gu

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Gradient-Free Method for Heavily Constrained Nonconvex Optimization.

Wanli Shi, Hongchang Gao, Bin Gu

Proceedings of the International Conference on Machine Learning, 2022

2021

Scalable Kernel Ordinal Regression via Doubly Stochastic Gradients.

Bin Gu, Xiang Geng, Xiang Li, Wanli Shi, Guansheng Zheng, Cheng Deng, Heng Huang

IEEE Trans. Neural Networks Learn. Syst., 2021

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

Bin Gu, Xiang Geng, Wanli Shi, Yingying Shan, Yufang Huang, Zhijie Wang, Guansheng Zheng

Pattern Recognit., 2021

Triply stochastic gradient method for large-scale nonlinear similar unlabeled classification.

Wanli Shi, Bin Gu, Xiang Li, Cheng Deng, Heng Huang

Mach. Learn., 2021

Deepbug: Bug Injection in Depth.

Wanli Shi, Guomiao Zhou, Zehui Wu, Huiyong Zhang

Proceedings of the EITCE 2021: 5th International Conference on Electronic Information Technology and Computer Engineering, Xiamen, China, October 22, 2021

Improved Penalty Method via Doubly Stochastic Gradients for Bilevel Hyperparameter Optimization.

Wanli Shi, Bin Gu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

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

Wanli Shi, Victor S. Sheng, Xiang Li, Bin Gu

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

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

Wanli Shi, Bin Gu, Xiang Li, Heng Huang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

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

Wanli Shi, Bin Gu, Xiang Li, Xiang Geng, Heng Huang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Scalable Semi-Supervised SVM via Triply Stochastic Gradients.

Xiang Geng, Bin Gu, Xiang Li, Wanli Shi, Guansheng Zheng, Heng Huang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019