Qingzhong Ai

According to our database, Qingzhong Ai authored at least 8 papers between 2021 and 2023.

Collaborative distances:

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

2023

Boosting adversarial robustness via self-paced adversarial training.

Lirong He, Qingzhong Ai, Xincheng Yang, Yazhou Ren, Qifan Wang, Zenglin Xu

Neural Networks, October, 2023

Stein Variational Gradient Descent with Multiple Kernels.

Qingzhong Ai, Shiyu Liu, Lirong He, Zenglin Xu

Cogn. Comput., March, 2023

Edge enhancement improves adversarial robustness in image classification.

Lirong He, Qingzhong Ai, Yuqing Lei, Lili Pan, Yazhou Ren, Zenglin Xu

Neurocomputing, 2023

Generative Oversampling for Imbalanced Data via Majority-Guided VAE.

Qingzhong Ai, Pengyun Wang, Lirong He, Liangjian Wen, Lujia Pan, Zenglin Xu

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

A One-Shot Reparameterization Method for Reducing the Loss of Tile Pruning on DNNs.

Yanchen Li, Qingzhong Ai, Fumihiko Ino

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Kernel Selection for Stein Variational Gradient Descent.

Qingzhong Ai, Shiyu Liu, Zenglin Xu

CoRR, 2021

ByPE-VAE: Bayesian Pseudocoresets Exemplar VAE.

Qingzhong Ai, Lirong He, Liangjian Wen, Shiyu Liu, Zenglin Xu

CoRR, 2021

ByPE-VAE: Bayesian Pseudocoresets Exemplar VAE.

Qingzhong Ai, Lirong He, Shiyu Liu, Zenglin Xu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021