23 citations · 25 across the 4 of their papers we have counts for
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cs.LG2023
Incremental Semi-supervised Federated Learning for Health Inference via Mobile Sensing
Guimin Dong, Lihua Cai, Mingyue Tang +2
Mobile sensing appears as a promising solution for health inference problem (e.g., influenza-like symptom recognition) by leveraging diverse smart sensors to capture fine-grained i…
cs.LG2022★ 1 cited
Graph Neural Networks in IoT: A Survey
Guimin Dong, Mingyue Tang, Zhiyuan Wang +7
The Internet of Things (IoT) boom has revolutionized almost every corner of people's daily lives: healthcare, home, transportation, manufacturing, supply chain, and so on. With the…
cs.LG2022★ 23 cited
Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction
Mingyue Tang, Carl Yang, Pan Li
Graph neural networks (GNNs) have drawn significant research attention recently, mostly under the setting of semi-supervised learning. When task-agnostic representations are prefer…