1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CL2025
Pangu Ultra MoE: How to Train Your Big MoE on Ascend NPUs
Yehui Tang, Yichun Yin, Yaoyuan Wang +71
Sparse large language models (LLMs) with Mixture of Experts (MoE) and close to a trillion parameters are dominating the realm of most capable language models. However, the massive…
cs.CV2023★ 1 cited
LRRU: Long-short Range Recurrent Updating Networks for Depth Completion
Yufei Wang, Bo Li, Ge Zhang +3
Existing deep learning-based depth completion methods generally employ massive stacked layers to predict the dense depth map from sparse input data. Although such approaches greatl…