Yuanbin Wang — accepted AI-conference papers

2026

Denoising as Path Planning: Training-Free Acceleration of Diffusion Models with DPCache

Bowen Cui, Yuanbin Wang, Huajiang Xu, Biaolong Chen, Aixi Zhang, Hao Jiang +3

CVPR 2026

Diffusion models have demonstrated remarkable success in image and video generation, yet their practical deployment remains hindered by the substantial computational overhead of multi-step iterative sampling. Among acceleration strategies, caching-based methods offer a training-free and effective so

Cited by 0 Source ↗code ↗Scholar ↗

2025

Variational Perturbation Personalized Federated Learning via Prior-Posterior Distance

Hefeng Zhou, Yuanbin Wang, Jun Wang, Jiong Lou, Wugedele Bao, Chentao Wu +1

ICASSP 2025accepted

Personalized Federated Learning (pFL) mitigates the impact of statistical heterogeneity on FL architecture to some extent by allowing participants to use personalized models based on local data distributions. The existing pFL methods optimize from the perspective of model structure, attempting to ad…

Cited by 0 Source ↗Scholar ↗