We provide a brief review of human mobility science and present three key areas where we
expect to see substantial advancements. We start from the mind and discuss the need to …

Recent decades have witnessed several infectious disease outbreaks, including the
coronavirus disease (COVID-19) pandemic, which had catastrophic impacts on societies …

Mobility trajectory data is of great significance for mobility pattern study, urban computing,
and city science. Self-driving, traffic prediction, environment estimation, and many other …

Intelligent transportation systems play a crucial role in modern traffic management and
optimization, greatly improving traffic efficiency and safety. With the rapid development of …

Deep networks require a considerable amount of training data otherwise these networks
generalize poorly. Data Augmentation techniques help the network generalize better by …

Human mobility patterns have shown significant applications in policy-decision scenarios
and economic behavior researches. The human mobility simulation task aims to generate …

The importance of mental health is increasingly emphasized in modern society. The
assessment of mental health qualities among college and university students as the future …

With the advent of the COVID-19 pandemic, the shortage in medical resources became
increasingly more evident. Therefore, efficient strategies for medical resource allocation are …

This work introduces CovidSafe, a framework designed to classify COVID patients as
positive or negative based on CXR images. With the global impact of COVID-19, there is a …

Clinic testing plays a critical role in containing infectious diseases such as COVID-19.
However, one of the key research questions in fighting such pandemics is how to optimize …