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 (CHASE, 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 (CHIL, 2021)

Semi-supervised Graph Instance Transformer for Mental Health Inference. - Guimin Dong; Mingyue Tang; Lihua Cai; Laura E. Barnes; Mehdi Boukhechba (ICMLA, 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)

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 (IPSN, 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)

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 001; Bradford Campbell; Brendan Bowman; Jamie Marie Zoellner; Emaad Abdel-Rahman; Mehdi Boukhechba (CHIL, 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)

Graph Neural Networks in IoT: A Survey. - Guimin Dong; Mingyue Tang; Zhiyuan Wang 003; Jiechao Gao; Sikun Guo; Lihua Cai; Robert J. Gutierrez; Bradford Campbell; Laura E. Barnes; Mehdi Boukhechba (ACM Trans. Sens. Networks, 2023)

Quantifying Fairness in LLMs Beyond Tokens: A Semantic and Statistical Perspective. - Weijie Xu; Yiwen Wang; Chi Xue; Xiangkun Hu; Xi Fang; Guimin Dong; Chandan K. Reddy (CoRR, 2025)