Transformers have shown remarkable performance in both natural language processing
(NLP) and computer vision (CV) tasks. However, their real-time inference speed and …

On-device deep neural network (DNN) training faces constraints in storage capacity and
energy supply. Existing works primarily focus on optimizing the training of convolutional and …

Deep Neural Networks (DNNs) have gained significant attention in both academia and
industry due to the superior application-level accuracy. As DNNs rely on compute-or …

In the last decade, deep learning has gained soaring popularity in both academia and
industry, playing an indispensable role in many aspects of human lives. The resource …

Emerging smart devices, such as smart home and augmented/virtual reality systems, are
reforming our living experience by automating our daily routines and interacting with us …