Cheng, Ze

6 publications

ICML 2025 Accelerating PDE-Constrained Optimization by the Derivative of Neural Operators Ze Cheng, Zhuoyu Li, Wang Xiaoqiang, Jianing Huang, Zhizhou Zhang, Zhongkai Hao, Hang Su

ICML 2024 Reference Neural Operators: Learning the Smooth Dependence of Solutions of PDEs on Geometric Deformations Ze Cheng, Zhongkai Hao, Xiaoqiang Wang, Jianing Huang, Youjia Wu, Xudan Liu, Yiru Zhao, Songming Liu, Hang Su

ICLR 2023 Bi-Level Physics-Informed Neural Networks for PDE Constrained Optimization Using Broyden's Hypergradients Zhongkai Hao, Chengyang Ying, Hang Su, Jun Zhu, Jian Song, Ze Cheng

ICML 2023 GNOT: A General Neural Operator Transformer for Operator Learning Zhongkai Hao, Zhengyi Wang, Hang Su, Chengyang Ying, Yinpeng Dong, Songming Liu, Ze Cheng, Jian Song, Jun Zhu

ICML 2023 NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data Songming Liu, Zhongkai Hao, Chengyang Ying, Hang Su, Ze Cheng, Jun Zhu

NeurIPS 2022 A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs Songming Liu, Hao Zhongkai, Chengyang Ying, Hang Su, Jun Zhu, Ze Cheng