Differential private federated transfer learning for mental health monitoring in everyday settings: A case study on stress detection

Z Wang, Z Yang, I Azimi… - 2024 46th Annual …, 2024 - ieeexplore.ieee.org
Mental health conditions, prevalent across various demographics, necessitate efficient
monitoring to mitigate their adverse impacts on life quality. The surge in data-driven …

Efflex: Efficient and flexible pipeline for spatio-temporal trajectory graph modeling and representation learning

M Cheng, Z Zhou, B Zhang, Z Wang… - Proceedings of the …, 2024 - openaccess.thecvf.com
In the landscape of spatio-temporal data analytics effective trajectory representation learning
is paramount. To bridge the gap of learning accurate representations with efficient and …

Toward short-term glucose prediction solely based on cgm time series

M Cheng, X Diao, Z Zhou, Y Cui, W Liu… - arxiv preprint arxiv …, 2024 - arxiv.org
The global diabetes epidemic highlights the importance of maintaining good glycemic
control. Glucose prediction is a fundamental aspect of diabetes management, facilitating real …

Crossgp: Cross-day glucose prediction excluding physiological information

Z Zhou, M Cheng, Y Cui, X Diao, Z Ma - arxiv preprint arxiv:2404.10901, 2024 - arxiv.org
The increasing number of diabetic patients is a serious issue in society today, which has
significant negative impacts on people's health and the country's financial expenditures …

Vetrass: Vehicle trajectory similarity search through graph modeling and representation learning

M Cheng, B Zhang, Z Wang, Z Zhou, W Feng… - arxiv preprint arxiv …, 2024 - arxiv.org
Trajectory similarity search plays an essential role in autonomous driving, as it enables
vehicles to analyze the information and characteristics of different trajectories to make …

Glumarker: A novel predictive modeling of glycemic control through digital biomarkers

Z Zhou, M Cheng, X Diao, Y Cui… - 2024 46th Annual …, 2024 - ieeexplore.ieee.org
The escalating prevalence of diabetes globally underscores the need for diabetes
management. Recent research highlights the growing focus on digital biomarkers in …

Breaking Barriers: The Power of Artificial Intelligence in Advancing Health Equity

A Shaban-Nejad, M Michalowski, S Bianco - AI for Health Equity and …, 2024 - Springer
Accessing and obtaining quality clinical and medical care varies among different population
groups in society. This leads to disparities in their health, longevity and quality of life. AI …