2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.DC2025
Towards Affordable, Adaptive and Automatic GNN Training on CPU-GPU Heterogeneous Platforms
Tong Qiao, Ao Zhou, Yingjie Qi +4
Graph Neural Networks (GNNs) have been widely adopted due to their strong performance. However, GNN training often relies on expensive, high-performance computing platforms, limiti…
cs.LG2023★ 2 cited
TinyFormer: Efficient Transformer Design and Deployment on Tiny Devices
Jianlei Yang, Jiacheng Liao, Fanding Lei +6
Developing deep learning models on tiny devices (e.g. Microcontroller units, MCUs) has attracted much attention in various embedded IoT applications. However, it is challenging to…