1 citations · 1 across the 5 of their papers we have counts for
5 papers
A PAC-Bayesian Analysis of Channel-Induced Degradation in Edge Inference
Yangshuo He, Guanding Yu, Jingge Zhu
In the emerging paradigm of edge learning, neural networks (NNs) are partitioned across distributed edge devices that collaboratively perform inference via wireless transmission. H…
Robustness in Wireless Distributed Learning: An Information-Theoretic Analysis
Yangshuo He, Guanding Yu, Huaiyu Dai
In recent years, the application of artificial intelligence (AI) in wireless communications has demonstrated inherent robustness against wireless channel distortions. Most existing…
Rate-Adaptive Coding Mechanism for Semantic Communications With Multi-Modal Data
Yangshuo He, Guanding Yu, Yunlong Cai
Recently, the ever-increasing demand for bandwidth in multi-modal communication systems requires a paradigm shift. Powered by deep learning, semantic communications are applied to…
A Customized NoC Architecture to Enable Highly Localized Computing-On-the-Move DNN Dataflow
Kaining Zhou, Yangshuo He, Rui Xiao +2
The ever-increasing computation complexity of fastgrowing Deep Neural Networks (DNNs) has requested new computing paradigms to overcome the memory wall in conventional Von Neumann…
Domino: A Tailored Network-on-Chip Architecture to Enable Highly Localized Inter- and Intra-Memory DNN Computing
Kaining Zhou, Yangshuo He, Rui Xiao +1
The ever-increasing computation complexity of fast-growing Deep Neural Networks (DNNs) has requested new computing paradigms to overcome the memory wall in conventional Von Neumann…