| MODALS: Modality-agnostic automated data augmentation in the latent space TH Cheung, DY Yeung International Conference on Learning Representations (ICLR), 2021 | 80 | 2021 |
| AdaAug: Learning Class-and Instance-adaptive Data Augmentation Policies TH Cheung, DY Yeung International Conference on Learning Representations, 2022 | 29 | 2022 |
| FedSGC: Federated Simple Graph Convolution for Node Classification TH Cheung, W Dai, S Li International Workshop on Federated and Transfer Learning for Data Sparsity …, 2021 | 21 | 2021 |
| A survey of automated data augmentation for image classification: Learning to compose, mix, and generate TH Cheung, DY Yeung IEEE transactions on neural networks and learning systems, 2023 | 15 | 2023 |
| Ila-da: Improving transferability of intermediate level attack with data augmentation CW Yan, TH Cheung, DY Yeung The Eleventh International Conference on Learning Representations, 2022 | 9 | 2022 |
| TransformMix: Learning Transformation and Mixing Strategies from Data TH Cheung, DY Yeung arXiv preprint arXiv:2403.12429, 2024 | 1 | 2024 |
| TransformMix: Learning Transformation and Mixing Strategies for Sample-mixing Data Augmentation TH Cheung, DY Yeung | | |
Dit-Yan YeungChair Professor, Department of CSE, HKUST, Hong KongVerified email at cse.ust.hk
