877 citations · 2k across the 56 of their papers we have counts for
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Eulerian and Lagrangian second-order statistics of superfluid He grid turbulence
Y. Tang, W. Guo, V. S. L'vov +1
We use particle tracking velocimetry to study Eulerian and Lagrangian second-order statistics of superfluid He grid turbulence. The Eulerian energy spectra at scales larger tha…
Automatic Quantification of Settlement Damage using Deep Learning of Satellite Images
Lili Lu, Weisi Guo
Humanitarian disasters and political violence cause significant damage to our living space. The reparation cost to homes, infrastructure, and the ecosystem is often difficult to qu…
Uncertainty Quantification of Multi-Scale Resilience in Nonlinear Complex Networks using Arbitrary Polynomial Chaos
Mengbang Zou, Luca Zanotti Fragonara, Weisi Guo
Resilience characterizes a system's ability to retain its original function when perturbations happen. In the past years our attention mainly focused on small-scale resilience, yet…
Scalable Partial Explainability in Neural Networks via Flexible Activation Functions
Schyler C. Sun, Chen Li, Zhuangkun Wei +2
Achieving transparency in black-box deep learning algorithms is still an open challenge. High dimensional features and decisions given by deep neural networks (NN) require new algo…
Uncertainty of Resilience in Complex Networks with Nonlinear Dynamics
Giannis Moutsinas, Mengbang Zou, Weisi Guo
Resilience is a system's ability to maintain its function when perturbations and errors occur. Whilst we understand low-dimensional networked systems' behavior well, our understand…