2 citations · 2 across the 6 of their papers we have counts for
6 papers
Transition from weak turbulence to collapse turbulence regimes in MMT model
Ashleigh Simonis, Yulin Pan
It is well known that wave collapses can emerge from the focusing one-dimensional (1-D) Majda-McLaughlin-Tabak (MMT) model as a result of modulational instability. However, how the…
On the time scales of spectral evolution of nonlinear waves
Ashleigh Simonis, Alexander Hrabski, Yulin Pan
As presented in Annenkov & Shrira (2009), when a surface gravity wave field is subjected to an abrupt perturbation of external forcing, its spectrum evolves on a ``fast'' dynamic t…
Enhancing Unsupervised Audio Representation Learning via Adversarial Sample Generation
Yulin Pan, Xiangteng He, Biao Gong +2
Existing audio analysis methods generally first transform the audio stream to spectrogram, and then feed it into CNN for further analysis. A standard CNN recognizes specific visual…
Probing the Nonlinear Interactions of Supertidal Internal Waves using a High-Resolution Regional Ocean Model
Joseph Skitka, Brian K. Arbic, Ritabrata Thakur +5
The internal-wave (IW) continuum of a regional ocean model is studied in terms of the vertical spectral kinetic-energy (KE) fluxes and transfers at high vertical wavenumbers. Previ…
Effects of varying initial conditions of ship encountering wave groups in computing extreme motion statistics
Xianliang Gong, Yulin Pan
In computing ship motion statistics (e.g., exceeding probability) in an irregular wave field, it is a common practice to represent the irregular waves by a large number of wave gro…
Multi-fidelity Bayesian experimental design to quantify extreme-event statistics
Xianliang Gong, Yulin Pan
In this work, we develop a multi-fidelity Bayesian experimental design framework to efficiently quantify the extreme-event statistics of an input-to-response (ItR) system with give…