57 citations · 69 across the 4 of their papers we have counts for
4 papers
Communication-Efficient Serving for Video Diffusion Models with Latent Parallelism
Zhiyuan Wu, Shuai Wang, Li Chen +5
Video diffusion models (VDMs) perform attention computation over the 3D spatio-temporal domain. Compared to large language models (LLMs) processing 1D sequences, their memory consu…
Structured Pruning for Efficient ConvNets via Incremental Regularization
Huan Wang, Qiming Zhang, Yuehai Wang +1
Parameter pruning is a promising approach for CNN compression and acceleration by eliminating redundant model parameters with tolerable performance loss. Despite its effectiveness,…
Structured Pruning for Efficient ConvNets via Incremental Regularization
Huan Wang, Qiming Zhang, Yuehai Wang +2
Parameter pruning is a promising approach for CNN compression and acceleration by eliminating redundant model parameters with tolerable performance degrade. Despite its effectivene…
Structured Probabilistic Pruning for Convolutional Neural Network Acceleration
Huan Wang, Qiming Zhang, Yuehai Wang +1
In this paper, we propose a novel progressive parameter pruning method for Convolutional Neural Network acceleration, named Structured Probabilistic Pruning (SPP), which effectivel…