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Zhong Yi Wan
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Data-driven forecasting of high-dimensional chaotic systems with long short-term memory networks
PR Vlachas, W Byeon, ZY Wan, TP Sapsis, P Koumoutsakos
Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2018
5792018
Data-assisted reduced-order modeling of extreme events in complex dynamical systems
ZY Wan, P Vlachas, P Koumoutsakos, T Sapsis
PloS one 13 (5), e0197704, 2018
2692018
Machine learning the kinematics of spherical particles in fluid flows
ZY Wan, TP Sapsis
Journal of Fluid Mechanics 857, R2, 2018
542018
Reduced-space Gaussian Process Regression for data-driven probabilistic forecast of chaotic dynamical systems
ZY Wan, TP Sapsis
Physica D: Nonlinear Phenomena 345, 40-55, 2017
542017
Debias coarsely, sample conditionally: Statistical downscaling through optimal transport and probabilistic diffusion models
ZY Wan, R Baptista, A Boral, YF Chen, J Anderson, F Sha, ...
Advances in Neural Information Processing Systems (NeurIPS) 36, 2024
212024
Evolve Smoothly, Fit Consistently: Learning Smooth Latent Dynamics For Advection-Dominated Systems
ZY Wan, L Zepeda-Núñez, A Boral, F Sha
The Eleventh International Conference on Learning Representations (ICLR), 2023
182023
A data-driven framework for the stochastic reconstruction of small-scale features with application to climate data sets
ZY Wan, B Dodov, C Lessig, H Dijkstra, TP Sapsis
Journal of Computational Physics 442, 110484, 2021
142021
Bubbles in turbulent flows: Data-driven, kinematic models with history terms
ZY Wan, P Karnakov, P Koumoutsakos, TP Sapsis
International Journal of Multiphase Flow 129, 103286, 2020
132020
DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems
Y Schiff, ZY Wan, JB Parker, S Hoyer, V Kuleshov, F Sha, ...
The Forty-first International Conference on Machine Learning (ICML), 2024
122024
Neural ideal large eddy simulation: Modeling turbulence with neural stochastic differential equations
A Boral, ZY Wan, L Zepeda-Núñez, J Lottes, Q Wang, Y Chen, J Anderson, ...
Advances in Neural Information Processing Systems (NeurIPS) 36, 2024
82024
Fatigue delamination growth for an adhesively-bonded composite joint under mode I loading
C Li, T Teng, Z Wan, G Li, C Rans
27th ICAF Symposium. Jerusalem, 2013
52013
Generative ai for fast and accurate statistical computation of fluids
R Molinaro, S Lanthaler, B Raonić, T Rohner, V Armegioiu, S Simonis, ...
arXiv preprint arXiv:2409.18359, 2024
42024
Physics-constrained machine learning strategies for turbulent flows and bubble dynamics
ZY Wan
Massachusetts Institute of Technology, 2020
22020
Data-assisted reduced-order modeling of climate dynamics.
T Sapsis, ZY Wan, B Dodov, H Dijkstra, C Lessig
Geophysical Research Abstracts 21, 2019
22019
Statistical Downscaling via High-Dimensional Distribution Matching with Generative Models
ZY Wan, I Lopez-Gomez, R Carver, T Schneider, J Anderson, F Sha, ...
arXiv preprint arXiv:2412.08079, 2024
12024
Dynamical-generative downscaling of climate model ensembles
I Lopez-Gomez, ZY Wan, L Zepeda-Núñez, T Schneider, J Anderson, ...
arXiv preprint arXiv:2410.01776, 2024
12024
A probabilistic framework for learning non-intrusive corrections to long-time climate simulations from short-time training data
BB Sorensen, L Zepeda-Núñez, I Lopez-Gomez, ZY Wan, R Carver, ...
arXiv preprint arXiv:2408.02688, 2024
12024
Machine learning the kinematics of bubbles in fluid flows
ZY Wan, TP Sapsis
Submitted, 2018
12018
Long-term durability of adhesively bonded composite joints under quasi-static and fatigue loading
C Li, ZY Wan, G LaPlante, CD Rans, G Li
34th conference and the 28th symposium of the ICAF, Helsinki, Finland, 819-829, 2015
12015
Diff4Steer: Steerable Diffusion Prior for Generative Music Retrieval with Semantic Guidance
X Bao, JY Li, ZY Wan, K Su, T Denk, J Lee, D Kuzmin, F Sha
ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and …, 2025
2025
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