Learning Adaptive Hydrodynamic Models Using Neural ODEs in Complex Conditions. - Cong Wang; Aoming Liang; Fei Han; Xinyu Zeng; Zhibin Li; Dixia Fan; Jens Kober (CoRR, 2024)

M2M: Learning controllable Multi of experts and multi-scale operators are the Partial Differential Equations need. - Aoming Liang; Zhaoyang Mu; Pengxiao Lin; Cong Wang; Mingming Ge; Ling Shao 005; Dixia Fan; Hao Tang (CoRR, 2024)

DamFormer: Generalizing Morphologies in Dam Break Simulations Using Transformer Model. - Zhaoyang Mu; Aoming Liang; Mingming Ge; Dashuai Chen; Dixia Fan; Minyi Xu (CoRR, 2024)

LE-PDE++: Mamba for accelerating PDEs Simulations. - Aoming Liang; Zhaoyang Mu; Qi liu; Ruipeng Li; Mingming Ge; Dixia Fan (CoRR, 2024)

Conformal Prediction on Quantifying Uncertainty of Dynamic Systems. - Aoming Liang; Qi Liu; Lei Xu 036; Fahad Sohrab; Weicheng Cui; Changhui Song; Moncef Gabbouj (CoRR, 2024)

LinguaFluid: Language Guided Fluid Control via Semantic Rewards in Reinforcement Learning. - Aoming Liang; Chi Cheng; Dashuai Chen; Boai Sun; Dixia Fan (CoRR, 2025)