Wanli Shi

Orcid: 0000-0002-4895-4060

According to our database1, Wanli Shi authored at least 17 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Deep Learning Driven Human Posture Location in Physical Education Teaching.
J. Multim. Inf. Syst., 2024

Double Momentum Method for Lower-Level Constrained Bilevel Optimization.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning Sampling Policy to Achieve Fewer Queries for Zeroth-Order Optimization.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Fast and Adversarial Robust Kernelized SDU Learning.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
Doubly Robust AUC Optimization against Noisy and Adversarial Samples.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Self-Adaptive Perturbation Radii for Adversarial Training.
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.
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.
Proceedings of the International Conference on Machine Learning, 2022

2021
Scalable Kernel Ordinal Regression via Doubly Stochastic Gradients.
IEEE Trans. Neural Networks Learn. Syst., 2021

Solving large-scale support vector ordinal regression with asynchronous parallel coordinate descent algorithms.
Pattern Recognit., 2021

Triply stochastic gradient method for large-scale nonlinear similar unlabeled classification.
Mach. Learn., 2021

Deepbug: Bug Injection in Depth.
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.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Semi-Supervised Multi-Label Learning from Crowds via Deep Sequential Generative Model.
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.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Scalable Semi-Supervised SVM via Triply Stochastic Gradients.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019


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