24 citations · 32 across the 4 of their papers we have counts for
5 papers
PAIRS AutoGeo: an Automated Machine Learning Framework for Massive Geospatial Data
Wang Zhou, Levente J. Klein, Siyuan Lu
An automated machine learning framework for geospatial data named PAIRS AutoGeo is introduced on IBM PAIRS Geoscope big data and analytics platform. The framework simplifies the de…
Physics-Informed Neural Network Super Resolution for Advection-Diffusion Models
Chulin Wang, Eloisa Bentivegna, Wang Zhou +2
Physics-informed neural networks (NN) are an emerging technique to improve spatial resolution and enforce physical consistency of data from physics models or satellite observations…
Monitoring the Impact of Wildfires on Tree Species with Deep Learning
Wang Zhou, Levente Klein
One of the impacts of climate change is the difficulty of tree regrowth after wildfires over areas that traditionally were covered by certain tree species. Here a deep learning mod…
Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning
Xiang Ni, Jing Li, Mo Yu +2
This paper considers the problem of resource allocation in stream processing, where continuous data flows must be processed in real time in a large distributed system. To maximize…
Performance Estimation of Synthesis Flows cross Technologies using LSTMs and Transfer Learning
Cunxi Yu, Wang Zhou
Due to the increasing complexity of Integrated Circuits (ICs) and System-on-Chip (SoC), developing high-quality synthesis flows within a short market time becomes more challenging.…