319 citations · 426 across the 12 of their papers we have counts for
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cs.LG2022★ 3 cited
AutoPINN: When AutoML Meets Physics-Informed Neural Networks
Xinle Wu, Dalin Zhang, Miao Zhang +5
Physics-Informed Neural Networks (PINNs) have recently been proposed to solve scientific and engineering problems, where physical laws are introduced into neural networks as prior…
cs.LG2022★ 1 cited
Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting
Xinle Wu, Dalin Zhang, Miao Zhang +3
Sensors in cyber-physical systems often capture interconnected processes and thus emit correlated time series (CTS), the forecasting of which enables important applications. The ke…
cs.LG2022★ 2 cited
Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey
Dalin Zhang, Kaixuan Chen, Yan Zhao +3
Deep learning technologies have demonstrated remarkable effectiveness in a wide range of tasks, and deep learning holds the potential to advance a multitude of applications, includ…