Guimin Dong

11 papers B 1C 1Journal 6Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Quantifying Fairness in LLMs Beyond Tokens: A Semantic and Statistical Perspective.
CoRR
Weijie Xu, Yiwen Wang, Chi Xue, Xiangkun Hu, Xi Fang, Guimin Dong, Chandan K. Reddy
2023 J jnl
Graph Neural Networks in IoT: A Survey.
ACM Trans. Sens. Networks
Guimin Dong, Mingyue Tang, Zhiyuan Wang, Jiechao Gao, Sikun Guo, Lihua Cai, Robert J. Gutierrez, Bradford Campbell, Laura E. Barnes, Mehdi Boukhechba
2023 J jnl
Incremental Semi-supervised Federated Learning for Health Inference via Mobile Sensing.
CoRR
Guimin Dong, Lihua Cai, Mingyue Tang, Laura E. Barnes, Mehdi Boukhechba
2023 — conf
øurs: Mobile Sensing based Fluid Overload Detection for End Stage Kidney Disease Patients using _Sensor _Relation _Dual _Autoencoder.
CHIL
Mingyue Tang, Jiechao Gao, Guimin Dong, Carl Yang, Bradford Campbell, Brendan Bowman, Jamie Marie Zoellner, Emaad Abdel-Rahman, Mehdi Boukhechba
2022 J jnl
Graph Neural Networks in IoT: A Survey.
CoRR
Guimin Dong, Mingyue Tang, Zhiyuan Wang, Jiechao Gao, Sikun Guo, Lihua Cai, Robert J. Gutierrez, Bradford Campbell, Laura E. Barnes, Mehdi Boukhechba
2022 J jnl
Leveraging Mobile Sensing and Bayesian Change Point Analysis to Monitor Community-scale Behavioral Interventions: A Case Study on COVID-19.
ACM Trans. Comput. Heal.
Shashwat Kumar, Debajyoti Datta, Guimin Dong, Lihua Cai, Mehdi Boukhechba, Laura E. Barnes
2022 — conf
Using Ubiquitous Mobile Sensing and Temporal Sensor-Relation Graph Neural Network to Predict Fluid Intake of End Stage Kidney Patients.
IPSN
Mingyue Tang, Guimin Dong, Jamie Zoellner, Brendan Bowman, Emaad Abel-Rahman, Mehdi Boukhechba
2021 B conf
Detection and Analysis of Interrupted Behaviors by Public Policy Interventions during COVID-19.
CHASE
Guimin Dong, Lihua Cai, Shashwat Kumar, Debajyoti Datta, Laura E. Barnes, Mehdi Boukhechba
2021 — conf
Influenza-like symptom recognition using mobile sensing and graph neural networks.
CHIL
Guimin Dong, Lihua Cai, Debajyoti Datta, Shashwat Kumar, Laura E. Barnes, Mehdi Boukhechba
2021 C conf
Semi-supervised Graph Instance Transformer for Mental Health Inference.
ICMLA
Guimin Dong, Mingyue Tang, Lihua Cai, Laura E. Barnes, Mehdi Boukhechba
2021 J jnl
Using Graph Representation Learning to Predict Salivary Cortisol Levels in Pancreatic Cancer Patients.
J. Heal. Informatics Res.
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