Three-Dimensional Animation Generation and Image Enhancement Technology Based on Multi-Column Convolutional Neural Network Model. - Weiran Cao; Youping Ten; Chunxuan Yu; Jingmin Sun; Jun Mao (IEEE Access, 2023)

Towards a Foundation Model for Partial Differential Equations: Multi-Operator Learning and Extrapolation. - Jingmin Sun; Yuxuan Liu; Zecheng Zhang; Hayden Schaeffer (CoRR, 2024)

LeMON: Learning to Learn Multi-Operator Networks. - Jingmin Sun; Zecheng Zhang; Hayden Schaeffer (CoRR, 2024)

PROSE-FD: A Multimodal PDE Foundation Model for Learning Multiple Operators for Forecasting Fluid Dynamics. - Yuxuan Liu; Jingmin Sun; Xinjie He; Griffin Pinney; Zecheng Zhang; Hayden Schaeffer (CoRR, 2024)

Time-Series Forecasting, Knowledge Distillation, and Refinement within a Multimodal PDE Foundation Model. - Derek Jollie; Jingmin Sun; Zecheng Zhang; Hayden Schaeffer (CoRR, 2024)

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics. - Yuxuan Liu; Jingmin Sun; Hayden Schaeffer (CoRR, 2025)