Tsz-Him Cheung

According to our database, Tsz-Him Cheung authored at least 5 papers between 2021 and 2024.

Collaborative distances:

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

2024

A Survey of Automated Data Augmentation for Image Classification: Learning to Compose, Mix, and Generate.

Tsz-Him Cheung, Dit-Yan Yeung

IEEE Trans. Neural Networks Learn. Syst., October, 2024

TransformMix: Learning Transformation and Mixing Strategies from Data.

Tsz-Him Cheung, Dit-Yan Yeung

CoRR, 2024

2023

ILA-DA: Improving Transferability of Intermediate Level Attack with Data Augmentation.

Chiu Wai Yan, Tsz-Him Cheung, Dit-Yan Yeung

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

AdaAug: Learning Class- and Instance-adaptive Data Augmentation Policies.

Tsz-Him Cheung, Dit-Yan Yeung

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space.

Tsz-Him Cheung, Dit-Yan Yeung

Proceedings of the 9th International Conference on Learning Representations, 2021