Deep neural networks (DNNs) have recently achieved impressive success across a wide
range of real-world vision and language processing tasks, spanning from image …

Neural architecture search (NAS) is an emerging paradigm to automate the design of
competitive deep neural networks (DNNs). In practice, DNNs are subject to strict latency …

Neural Architecture Search (NAS) has received increasing attention because of its
exceptional merits in automating the design of Deep Neural Network (DNN) architectures …

Autonomous Things (AuT) refers to a collection of self-sufficient tiny devices capable of
performing intelligent computations. Looking ahead, AuT promises to enable ubiquitous …

There has been a growing trend in deploying deep neural networks (DNNs) on tiny devices.
However, deploying DNNs on such devices poses significant challenges due to the …

With the rapid progress and widespread adoption of AI technology, integrating powerful
DNN models into AIoT devices in close proximity to users has become increasingly …

Heart rate variability (HRV) is a vital sign with the potential to predict stress and various
diseases, including heart attack and arrhythmia. Typically, hospitals utilize …

Autonomous driving demands both accurate perception and high-speed decision making.
Therefore, automated vehicles are typically equipped with multiple sensors such as cameras …

Coal is the primary source of energy worldwide. In longwall mining, autonomous coal mining
machines can assist or replace human beings in dangerous mining tasks to achieve safe …

With the increasing availability of large-scale datasets and powerful computing paradigms,
convolutional neural networks (CNNs) have empowered a wide range of intelligent …