3 citations · 7 across the 13 of their papers we have counts for
5 papers · 1 filter
Practical Insights on Incremental Learning of New Human Physical Activity on the Edge
George Arvanitakis, Jingwei Zuo, Mthandazo Ndhlovu +1
Edge Machine Learning (Edge ML), which shifts computational intelligence from cloud-based systems to edge devices, is attracting significant interest due to its evident benefits in…
AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors
Weize Chen, Yusheng Su, Jingwei Zuo +13
Autonomous agents empowered by Large Language Models (LLMs) have undergone significant improvements, enabling them to generalize across a broad spectrum of tasks. However, in real-…
Opportunistic Air Quality Monitoring and Forecasting with Expandable Graph Neural Networks
Jingwei Zuo, Wenbin Li, Michele Baldo +1
Air Quality Monitoring and Forecasting has been a popular research topic in recent years. Recently, data-driven approaches for air quality forecasting have garnered significant att…
Unleashing Realistic Air Quality Forecasting: Introducing the Ready-to-Use PurpleAirSF Dataset
Jingwei Zuo, Wenbin Li, Michele Baldo +1
Air quality forecasting has garnered significant attention recently, with data-driven models taking center stage due to advancements in machine learning and deep learning models. H…
On Handling Catastrophic Forgetting for Incremental Learning of Human Physical Activity on the Edge
Jingwei Zuo, George Arvanitakis, Hakim Hacid
Human activity recognition (HAR) has been a classic research problem. In particular, with recent machine learning (ML) techniques, the recognition task has been largely investigate…