3 papers
cs.CV2024
FasterDiT: Towards Faster Diffusion Transformers Training without Architecture Modification
Jingfeng Yao, Wang Cheng, Wenyu Liu +1
Diffusion Transformers (DiT) have attracted significant attention in research. However, they suffer from a slow convergence rate. In this paper, we aim to accelerate DiT training w…
cs.CR2024
The Security and Privacy of Mobile Edge Computing: An Artificial Intelligence Perspective
Cheng Wang, Zenghui Yuan, Pan Zhou +3
Mobile Edge Computing (MEC) is a new computing paradigm that enables cloud computing and information technology (IT) services to be delivered at the network's edge. By shifting the…
cs.CV2023
A Hybrid CNN-Transformer Architecture with Frequency Domain Contrastive Learning for Image Deraining
Cheng Wang, Wei Li
Image deraining is a challenging task that involves restoring degraded images affected by rain streaks.