Huimin Wu

According to our database, Huimin Wu authored at least 5 papers between 2021 and 2023.

Collaborative distances:

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

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

Zeroth-Order Hard-Thresholding: Gradient Error vs. Expansivity.

William de Vazelhes, Hualin Zhang, Huimin Wu, Xiaotong Yuan, Bin Gu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Efficient Semi-Supervised Adversarial Training without Guessing Labels.

Huimin Wu, William de Vazelhes, Bin Gu

Proceedings of the IEEE International Conference on Data Mining, 2022

Towards Practical Large Scale Non-Linear Semi-Supervised Learning with Balancing Constraints.

Zhengqing Gao, Huimin Wu, Martin Takác, Bin Gu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Fast and Scalable Adversarial Training of Kernel SVM via Doubly Stochastic Gradients.

Huimin Wu, Zhengmian Hu, Bin Gu

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