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ORCIDMingyue Tang
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2020 – today
- 2024
[c10]Mingyue Tang
, Hang Wu:
Lightweight insulator defect detection algorithm based on improved YOLOv8. CSAIDE 2024: 197-201- [c9]Mingyue Tang, Pranshu Teckchandani, Jizheng He, Hanbo Guo, Elahe Soltanaghai:
BSENSE: In-vehicle Child Detection and Vital Sign Monitoring with a Single mmWave Radar and Synthetic Reflectors. SenSys 2024: 478-492 - 2023
- [j2]Guimin Dong, Mingyue Tang, Zhiyuan Wang, Jiechao Gao, Sikun Guo, Lihua Cai, Robert J. Gutierrez, Bradford Campbell, Laura E. Barnes, Mehdi Boukhechba:
Graph Neural Networks in IoT: A Survey. ACM Trans. Sens. Networks 19(2): 47:1-47:50 (2023) - [c8]Mingyue Tang, Jiechao Gao, Guimin Dong, Carl Yang, Bradford Campbell, Brendan Bowman, Jamie Marie Zoellner, Emaad Abdel-Rahman, Mehdi Boukhechba:
øurs: Mobile Sensing based Fluid Overload Detection for End Stage Kidney Disease Patients using _Sensor _Relation _Dual _Autoencoder. CHIL 2023: 133-146 - [c7]Zhiyuan Wang, Mingyue Tang, Maria A. Larrazabal, Emma R. Toner, Mark Rucker, Congyu Wu, Bethany A. Teachman, Mehdi Boukhechba, Laura E. Barnes:
Personalized State Anxiety Detection: An Empirical Study with Linguistic Biomarkers and A Machine Learning Pipeline. EMBC 2023: 1-6 - [i4]Zhiyuan Wang, Mingyue Tang, Maria A. Larrazabal, Emma R. Toner, Mark Rucker, Congyu Wu, Bethany A. Teachman, Mehdi Boukhechba, Laura E. Barnes:
Personalized State Anxiety Detection: An Empirical Study with Linguistic Biomarkers and A Machine Learning Pipeline. CoRR abs/2304.09928 (2023) - [i3]Guimin Dong, Lihua Cai, Mingyue Tang, Laura E. Barnes, Mehdi Boukhechba:
Incremental Semi-supervised Federated Learning for Health Inference via Mobile Sensing. CoRR abs/2312.12666 (2023) - 2022
- [c6]Mingyue Tang, Pan Li, Carl Yang:
Graph Auto-Encoder via Neighborhood Wasserstein Reconstruction. ICLR 2022 - [c5]Mingyue Tang, Guimin Dong, Jamie Zoellner, Brendan Bowman, Emaad Abel-Rahman, Mehdi Boukhechba:
Using Ubiquitous Mobile Sensing and Temporal Sensor-Relation Graph Neural Network to Predict Fluid Intake of End Stage Kidney Patients. IPSN 2022: 298-309 - [c4]Carl Yang, Hongwen Song, Mingyue Tang, Leon Danon, Ymir Vigfusson:
Dynamic Network Anomaly Modeling of Cell-Phone Call Detail Records for Infectious Disease Surveillance. KDD 2022: 4733-4742 - [c3]Jiechao Gao, Mingyue Tang, Tianhao Wang, Bradford Campbell:
PFed-LDP: A Personalized Federated Local Differential Privacy Framework for IoT Sensing Data. SenSys 2022: 835-836 - [i2]Mingyue Tang, Carl Yang, Pan Li:
Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction. CoRR abs/2202.09025 (2022) - [i1]Guimin Dong, Mingyue Tang, Zhiyuan Wang, Jiechao Gao, Sikun Guo, Lihua Cai, Robert J. Gutierrez, Bradford Campbell, Laura E. Barnes, Mehdi Boukhechba:
Graph Neural Networks in IoT: A Survey. CoRR abs/2203.15935 (2022) - 2021
- [c2]Guimin Dong, Mingyue Tang, Lihua Cai, Laura E. Barnes, Mehdi Boukhechba:
Semi-supervised Graph Instance Transformer for Mental Health Inference. ICMLA 2021: 1221-1228 - 2020
- [j1]Bo Yang, Mingyue Tang, Shaohui Chen, Gang Wang, Yan Tan, Bijun Li:
A vehicle tracking algorithm combining detector and tracker. EURASIP J. Image Video Process. 2020(1): 17 (2020)
2010 – 2019
- 2018
- [c1]Mingyue Tang, Hang Xie, Tiffany Y. Tang:
Combining wAMAN and Matrix Factorization to Optimize One-Class Collaborative Filtering and Its Application in an Emotion-Aware Movie Recommendation System. ICBDC 2018: 108-114
Coauthor Index
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