A Scalable Training-Free Diffusion Model for Uncertainty Quantification. - Ali Haisam Muhammad Rafid; Junqi Yin; Yuwei Geng; Siming Liang; Feng Bao 005; Lili Ju; Guannan Zhang (SC Workshops, 2024)

Gradient Preserving Operator Inference: Data-Driven Reduced-Order Models for Equations with Gradient Structure. - Yuwei Geng; Jasdeep Singh; Lili Ju; Boris Kramer; Zhu Wang 003 (CoRR, 2024)

An End-to-End Deep Learning Method for Solving Nonlocal Allen-Cahn and Cahn-Hilliard Phase-Field Models. - Yuwei Geng; Olena Burkovska; Lili Ju; Guannan Zhang; Max D. Gunzburger (CoRR, 2024)

A deep learning method for the dynamics of classic and conservative Allen-Cahn equations based on fully-discrete operators. - Yuwei Geng; Yuankai Teng; Zhu Wang 003; Lili Ju (J. Comput. Phys., 2024)

Data-Driven Reduced-Order Models for Port-Hamiltonian Systems with Operator Inference. - Yuwei Geng; Lili Ju; Boris Kramer; Zhu Wang 003 (CoRR, 2025)