Mingyue Tang

According to our database, Mingyue Tang authored at least 18 papers between 2018 and 2025.

Collaborative distances:

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

2025

ChirpEye: Passive Sensing and Profiling of FMCW Radars with a Resource-constrained Tag.

Mingyue Tang, Jizheng He, Ryu Okubo, Dhruv Panchmia, Elahe Soltanaghai

Proceedings of the 31st Annual International Conference on Mobile Computing and Networking, 2025

Poster: Passive FMCW Radar Detection and Profiling under Multipath and Mobility Conditions.

Mingyue Tang, Qinglin Ge, Jizheng He, Elahe Soltanaghai

Proceedings of the 31st Annual International Conference on Mobile Computing and Networking, 2025

Atlas: Ensuring Accuracy for Privacy-Preserving Federated IoT Applications.

Jiechao Gao, Mingyue Tang, Wenpeng Wang, Tushar Routh, Bradford Campbell

Proceedings of the ACM/IEEE 16th International Conference on Cyber-Physical Systems, 2025

2024

BSENSE: In-vehicle Child Detection and Vital Sign Monitoring with a Single mmWave Radar and Synthetic Reflectors.

Mingyue Tang, Pranshu Teckchandani, Jizheng He, Hanbo Guo, Elahe Soltanaghai

Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems, 2024

Extended-Range Two-way Radar Backscatter Communication with Low-Power IoT Tags.

Jizheng He, Mingyue Tang, Ryu Okubo, Dhruv Panchmia, Elahe Soltanaghai

Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, 2024

Interactive Design with Autistic Children using LLM and IoT for Personalized Training: The Good, The Bad and The Challenging.

Yongfu Wang, Mingyue Tang, Yifan He, Tiffany Ya Tang

Proceedings of the Companion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2024

Lightweight insulator defect detection algorithm based on improved YOLOv8.

Mingyue Tang, Hang Wu

Proceedings of the 2024 3rd International Conference on Cyber Security, 2024

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

Personalized State Anxiety Detection: An Empirical Study with Linguistic Biomarkers and A Machine Learning Pipeline.

Zhiyuan Wang, Mingyue Tang, Maria A. Larrazabal, Emma R. Toner, Mark Rucker, Congyu Wu, Bethany A. Teachman, Mehdi Boukhechba, Laura E. Barnes

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.

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

PFed-LDP: A Personalized Federated Local Differential Privacy Framework for IoT Sensing Data.

Jiechao Gao, Mingyue Tang, Tianhao Wang, Bradford Campbell

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.

Carl Yang, Hongwen Song, Mingyue Tang, Leon Danon, Ymir Vigfusson

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.

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

Graph Auto-Encoder via Neighborhood Wasserstein Reconstruction.

Mingyue Tang, Pan Li, Carl Yang

Proceedings of the Tenth International Conference on Learning Representations, 2022

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

2020

A vehicle tracking algorithm combining detector and tracker.

Bo Yang, Mingyue Tang, Shaohui Chen, Gang Wang, Yan Tan, Bijun Li

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.

Mingyue Tang, Hang Xie, Tiffany Y. Tang

Proceedings of the 2018 International Conference on Big Data and Computing, 2018