Mingyue Tang

Orcid: 0000-0003-1326-5553

According to our database1, Mingyue Tang authored at least 11 papers between 2018 and 2023.

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Bibliography

2023
Graph Neural Networks in IoT: A Survey.
ACM Trans. Sens. Networks, May, 2023

Incremental Semi-supervised Federated Learning for Health Inference via Mobile Sensing.
CoRR, 2023

Personalized State Anxiety Detection: An Empirical Study with Linguistic Biomarkers and A Machine Learning Pipeline.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

øurs: Mobile Sensing based Fluid Overload Detection for End Stage Kidney Disease Patients using _Sensor _Relation _Dual _Autoencoder.
Proceedings of the Conference on Health, Inference, and Learning, 2023

2022
PFed-LDP: A Personalized Federated Local Differential Privacy Framework for IoT Sensing Data.
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

Dynamic Network Anomaly Modeling of Cell-Phone Call Detail Records for Infectious Disease Surveillance.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Using Ubiquitous Mobile Sensing and Temporal Sensor-Relation Graph Neural Network to Predict Fluid Intake of End Stage Kidney Patients.
Proceedings of the 21st ACM/IEEE International Conference on Information Processing in Sensor Networks, 2022

Graph Auto-Encoder via Neighborhood Wasserstein Reconstruction.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Semi-supervised Graph Instance Transformer for Mental Health Inference.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2020
A vehicle tracking algorithm combining detector and tracker.
EURASIP J. Image Video Process., 2020

2018
Combining wAMAN and Matrix Factorization to Optimize One-Class Collaborative Filtering and Its Application in an Emotion-Aware Movie Recommendation System.
Proceedings of the 2018 International Conference on Big Data and Computing, 2018


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