Guimin Dong

According to our database, Guimin Dong authored at least 9 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Graph Neural Networks in IoT: A Survey.

Guimin Dong, Mingyue Tang, Zhiyuan Wang, Jiechao Gao, Sikun Guo, Lihua Cai, Robert J. Gutierrez, Bradford Campbell, Laura E. Barnes, Mehdi Boukhechba

ACM Trans. Sens. Networks, May, 2023

Incremental Semi-supervised Federated Learning for Health Inference via Mobile Sensing.

Guimin Dong, Lihua Cai, Mingyue Tang, Laura E. Barnes, Mehdi Boukhechba

CoRR, 2023

øurs: Mobile Sensing based Fluid Overload Detection for End Stage Kidney Disease Patients using _Sensor _Relation _Dual _Autoencoder.

Mingyue Tang, Jiechao Gao, Guimin Dong, Carl Yang, Bradford Campbell, Brendan Bowman, Jamie Marie Zoellner, Emaad Abdel-Rahman, Mehdi Boukhechba

Proceedings of the Conference on Health, Inference, and Learning, 2023

2022

Leveraging Mobile Sensing and Bayesian Change Point Analysis to Monitor Community-scale Behavioral Interventions: A Case Study on COVID-19.

Shashwat Kumar, Debajyoti Datta, Guimin Dong, Lihua Cai, Mehdi Boukhechba, Laura E. Barnes

ACM Trans. Comput. Heal., 2022

Using Ubiquitous Mobile Sensing and Temporal Sensor-Relation Graph Neural Network to Predict Fluid Intake of End Stage Kidney Patients.

Mingyue Tang, Guimin Dong, Jamie Zoellner, Brendan Bowman, Emaad Abel-Rahman, Mehdi Boukhechba

Proceedings of the 21st ACM/IEEE International Conference on Information Processing in Sensor Networks, 2022

2021

Using Graph Representation Learning to Predict Salivary Cortisol Levels in Pancreatic Cancer Patients.

Guimin Dong, Mehdi Boukhechba, Kelly M. Shaffer, Lee M. Ritterband, Daniel G. Gioeli, Matthew J. Reilley, Tri M. Le, Paul R. Kunk, Todd W. Bauer, Philip I. Chow

J. Heal. Informatics Res., 2021

Semi-supervised Graph Instance Transformer for Mental Health Inference.

Guimin Dong, Mingyue Tang, Lihua Cai, Laura E. Barnes, Mehdi Boukhechba

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Influenza-like symptom recognition using mobile sensing and graph neural networks.

Guimin Dong, Lihua Cai, Debajyoti Datta, Shashwat Kumar, Laura E. Barnes, Mehdi Boukhechba

Proceedings of the ACM CHIL '21: ACM Conference on Health, 2021

Detection and Analysis of Interrupted Behaviors by Public Policy Interventions during COVID-19.

Guimin Dong, Lihua Cai, Shashwat Kumar, Debajyoti Datta, Laura E. Barnes, Mehdi Boukhechba

Proceedings of the IEEE/ACM Conference on Connected Health: Applications, 2021