1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.LG2023
Dynamic Graph Neural Network with Adaptive Edge Attributes for Air Quality Predictions
Jing Xu, Shuo Wang, Na Ying +5
Air quality prediction is a typical spatio-temporal modeling problem, which always uses different components to handle spatial and temporal dependencies in complex systems separate…
cs.LG2020★ 1 cited
Interpretable and Transferable Models to Understand the Impact of Lockdown Measures on Local Air Quality
Johanna Einsiedler, Yun Cheng, Franz Papst +1
The COVID-19 related lockdown measures offer a unique opportunity to understand how changes in economic activity and traffic affect ambient air quality and how much pollution reduc…
cs.CV2019
Adaptive Loss-aware Quantization for Multi-bit Networks
Zhongnan Qu, Zimu Zhou, Yun Cheng +1
We investigate the compression of deep neural networks by quantizing their weights and activations into multiple binary bases, known as multi-bit networks (MBNs), which accelerate…