Data-Driven Forecasting of High-Dimensional Chaotic Systems with Long-Short Term Memory Networks. - Pantelis-Rafail Vlachas; Wonmin Byeon; Zhong Yi Wan; Themistoklis P. Sapsis; Petros Koumoutsakos (CoRR, 2018)

A data-driven framework for the stochastic reconstruction of small-scale features with application to climate data sets. - Zhong Yi Wan; Boyko A. Dodov; Christian Lessig; Henk Dijkstra; Themistoklis P. Sapsis (J. Comput. Phys., 2021)

Evolve Smoothly, Fit Consistently: Learning Smooth Latent Dynamics For Advection-Dominated Systems. - Zhong Yi Wan; Leonardo Zepeda-Núñez; Anudhyan Boral; Fei Sha (ICLR, 2023)

Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations. - Anudhyan Boral; Zhong Yi Wan; Leonardo Zepeda-Núñez; James Lottes; Qing Wang 032; Yi-Fan Chen; John Anderson; Fei Sha (NeurIPS, 2023)

Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models. - Zhong Yi Wan; Ricardo Baptista; Anudhyan Boral; Yi-Fan Chen; John Anderson; Fei Sha; Leonardo Zepeda-Núñez (NeurIPS, 2023)

Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations. - Anudhyan Boral; Zhong Yi Wan; Leonardo Zepeda-Núñez; James Lottes; Qing Wang 032; Yi-Fan Chen; John Robert Anderson; Fei Sha (CoRR, 2023)

DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems. - Yair Schiff; Zhong Yi Wan; Jeffrey B. Parker; Stephan Hoyer; Volodymyr Kuleshov; Fei Sha; Leonardo Zepeda-Núñez (ICML, 2024)

A probabilistic framework for learning non-intrusive corrections to long-time climate simulations from short-time training data. - Benedikt Barthel Sorensen; Leonardo Zepeda-Núñez; Ignacio Lopez-Gomez; Zhong Yi Wan; Rob Carver; Fei Sha; Themistoklis P. Sapsis (CoRR, 2024)

Generative AI for fast and accurate Statistical Computation of Fluids. - Roberto Molinaro; Samuel Lanthaler; Bogdan Raonic; Tobias Rohner; Victor Armegioiu; Zhong Yi Wan; Fei Sha; Siddhartha Mishra; Leonardo Zepeda-Núñez (CoRR, 2024)

Dynamical-generative downscaling of climate model ensembles. - Ignacio Lopez-Gomez; Zhong Yi Wan; Leonardo Zepeda-Núñez; Tapio Schneider; John R. Anderson; Fei Sha (CoRR, 2024)

Statistical Downscaling via High-Dimensional Distribution Matching with Generative Models. - Zhong Yi Wan; Ignacio Lopez-Gomez; Rob Carver; Tapio Schneider; John R. Anderson; Fei Sha; Leonardo Zepeda-Núñez (CoRR, 2024)

Diff4Steer: Steerable Diffusion Prior for Generative Music Retrieval with Semantic Guidance. - Xuchan Bao; Judith Yue Li; Zhong Yi Wan; Kun Su; Timo I. Denk; Joonseok Lee; Dima Kuzmin; Fei Sha (ICASSP, 2025)