Soft and Hard Constrained Parametric Generative Schemes for Encoding and Synthesizing Airfoils. - Hairun Xie; Jing Wang; Miao Zhang (CoRR, 2022)

Knowledge-embedded meta-learning model for lift coefficient prediction of airfoils. - Hairun Xie; Jing Wang; Miao Zhang (CoRR, 2023)

Physics-Assisted Reduced-Order Modeling for Identifying Dominant Features of Transonic Buffet. - Jing Wang; Hairun Xie; Miao Zhang; Hui Xu (CoRR, 2023)

Knowledge-embedded meta-learning model for lift coefficient prediction of airfoils. - Hairun Xie; Jing Wang 119; Miao Zhang (Expert Syst. Appl., 2023)

AFBench: A Large-scale Benchmark for Airfoil Design. - Jian Liu 036; Jianyu Wu; Hairun Xie; Guoqing Zhang; Jing Wang; Wei Liu 123; Wanli Ouyang; Junjun Jiang; Xianming Liu; Shixiang Tang; Miao Zhang (NeurIPS, 2024)

DiffFluid: Plain Diffusion Models are Effective Predictors of Flow Dynamics. - Dongyu Luo; Jianyu Wu; Jing Wang; Hairun Xie; Xiangyu Yue 001; Shixiang Tang (CoRR, 2024)

Parametric generative schemes with geometric constraints for encoding and synthesizing airfoils. - Hairun Xie; Jing Wang 119; Miao Zhang (Eng. Appl. Artif. Intell., 2024)

Uncertainty involved drag divergence characteristic predicting method based on VAE. - Wei Liu; Hairun Xie; Jing Wang; Jixin Xiang; Zenghui Huang; Miao Zhang (J. Membr. Comput., 2024)

FuncGenFoil: Airfoil Generation and Editing Model in Function Space. - Jinouwen Zhang; Junjie Ren; Aobo Yang; Yan Lu 001; Lu Chen 001; Hairun Xie; Jing Wang; Miao Zhang; Wanli Ouyang; Shixiang Tang (CoRR, 2025)

LFR-PINO: A Layered Fourier Reduced Physics-Informed Neural Operator for Parametric PDEs. - Jing Wang; Biao Chen; Hairun Xie; Rui Wang; Yifan Xia; Jifa Zhang; Hui Xu (CoRR, 2025)