54 citations · 80 across the 5 of their papers we have counts for
5 papers
Dynamic Graph Learning Based on Hierarchical Memory for Origin-Destination Demand Prediction
Ruixing Zhang, Liangzhe Han, Boyi Liu +2
Recent years have witnessed a rapid growth of applying deep spatiotemporal methods in traffic forecasting. However, the prediction of origin-destination (OD) demands is still a cha…
Applications of Federated Learning in Smart Cities: Recent Advances, Taxonomy, and Open Challenges
Zhaohua Zheng, Yize Zhou, Yilong Sun +3
Federated learning plays an important role in the process of smart cities. With the development of big data and artificial intelligence, there is a problem of data privacy protecti…
FedCM: A Real-time Contribution Measurement Method for Participants in Federated Learning
Boyi Liu, Bingjie Yan, Yize Zhou +2
Federated Learning (FL) creates an ecosystem for multiple agents to collaborate on building models with data privacy consideration. The method for contribution measurement of each…
Experiments of Federated Learning for COVID-19 Chest X-ray Images
Boyi Liu, Bingjie Yan, Yize Zhou +2
AI plays an important role in COVID-19 identification. Computer vision and deep learning techniques can assist in determining COVID-19 infection with Chest X-ray Images. However, f…
An Improved Method for the Fitting and Prediction of the Number of COVID-19 Confirmed Cases Based on LSTM
Bingjie Yan, Xiangyan Tang, Boyi Liu +6
New coronavirus disease (COVID-19) has constituted a global pandemic and has spread to most countries and regions in the world. By understanding the development trend of a regional…