2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.AI2026
RTL-Interact: Training EDA-Interactive Models for Multi-Task RTL Design
Wenxuan Shi, Yaoyu Zhu, Di Huang +13
Large language models offer a promising route to register-transfer-level (RTL) design, but reliable implementations require checking and revision based on electronic design automat…
cs.LG2020★ 2 cited
DWM: A Decomposable Winograd Method for Convolution Acceleration
Di Huang, Xishan Zhang, Rui Zhang +9
Winograd's minimal filtering algorithm has been widely used in Convolutional Neural Networks (CNNs) to reduce the number of multiplications for faster processing. However, it is on…