| Graph neural networks in IoT: A survey G Dong, M Tang, Z Wang, J Gao, S Guo, L Cai, R Gutierrez, B Campbel, ... ACM Transactions on Sensor Networks 19 (2), 1-50, 2023 | 115 | 2023 |
| Graph Auto-Encoder via Neighborhood Wasserstein Reconstruction M Tang, C Yang, P Li International Conference on Learning Representations (ICLR), 2022, 2022 | 69 | 2022 |
| Semi-supervised graph instance transformer for mental health inference G Dong, M Tang, L Cai, LE Barnes, M Boukhechba 2021 20th IEEE International Conference on Machine Learning and Applications …, 2021 | 29 | 2021 |
| PFed-LDP: A Personalized Federated Local Differential Privacy Framework for IoT Sensing Data J Gao, M Tang, T Wang, B Campbell Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems …, 2022 | 8 | 2022 |
| Using ubiquitous mobile sensing and temporal sensor-relation graph neural network to predict fluid intake of end stage kidney patients M Tang, G Dong, J Zoellner, B Bowman, E Abel-Rahman, M Boukhechba 2022 21st ACM/IEEE International Conference on Information Processing in …, 2022 | 7 | 2022 |
| Personalized State Anxiety Detection: An Empirical Study with Linguistic Biomarkers and A Machine Learning Pipeline Z Wang, M Tang, MA Larrazabal, ER Toner, M Rucker, C Wu, ... 2023 45th Annual International Conference of the IEEE Engineering in …, 2023 | 5 | 2023 |
| SRDA: Mobile Sensing based Fluid Overload Detection for End Stage Kidney Disease Patients using Sensor Relation Dual Autoencoder M Tang, J Gao, G Dong, C Yang, B Campbell, B Bowman, JM Zoellner, ... Conference on Health, Inference, and Learning, 133-146, 2023 | 5 | 2023 |
| Mobile sensing in the COVID-19 era: A review E FlickingerTabor, E BarnesLaura Health Data Science, 2022 | 5 | 2022 |
| A highly customizable parent-child word-learning mobile game for chinese children with autism P Winoto, VL Cao, EM Tang Universal Access in Human–Computer Interaction. Design and Development …, 2017 | 4 | 2017 |
| Deep Learning for Autonomous Vehicles and Systems G Dong, M Tang, R Yan, Z Mu, L Cai, BB Park Autonomous Vehicles and Systems, 9-47, 2023 | 3 | 2023 |
| Dynamic network anomaly modeling of cell-phone call detail records for infectious disease surveillance C Yang, H Song, M Tang, L Danon, Y Vigfusson Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 3 | 2022 |
| A Smartwatch Based System to Monitor Fluid Consumption of End Stage Kidney Patients M Boukhechba, M Tang, B Bowman, J Zoellner, EM Abdel-Rahman Healthcare and Medical Devices 51, 76, 2022 | 1 | 2022 |
| Combining wAMAN and Matrix Factorization to Optimize One-Class Collaborative Filtering and Its Application in an Emotion-Aware Movie Recommendation System M Tang, H Xie, TY Tang Proceedings of the 3rd International Conference on Big Data and Computing …, 2018 | 1 | 2018 |
| Extended-Range Two-way Radar Backscatter Communication with Low-Power IoT Tags J He, M Tang, R Okubo, D Panchmia, E Soltanaghai Proceedings of the 30th Annual International Conference on Mobile Computing …, 2024 | | 2024 |
| BSENSE: In-vehicle Child Detection and Vital Sign Monitoring with a Single mmWave Radar and Synthetic Reflectors M Tang, P Teckchandani, J He, H Guo, E Soltanaghai Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems …, 2024 | | 2024 |
| Interactive Design with Autistic Children using LLM and IoT for Personalized Training: The Good, The Bad and The Challenging Y Wang, M Tang, Y He, TY Tang Companion of the 2024 on ACM International Joint Conference on Pervasive and …, 2024 | | 2024 |
| Incremental Semi-supervised Federated Learning for Health Inference via Mobile Sensing G Dong, L Cai, M Tang, LE Barnes, M Boukhechba arXiv preprint arXiv:2312.12666, 2023 | | 2023 |
| Investigating the Use of Smartwatch-Based Self-Assessments to Monitor Fluid Consumption of Hemodialysis Patients: PO0502 M Boukhechba, M Tang, BT Bowman, JM Zoellner, EM Abdel-Rahman Journal of the American Society of Nephrology 32 (10S), 196, 2021 | | 2021 |
| PipeChurn: A Reliable Pipeline Parallelism Framework using Erasure Coding KS Wang, M Bhatia, M Tang | | |
