Hairun Xie

According to our database, Hairun Xie authored at least 10 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, June, 2025

FuncGenFoil: Airfoil Generation and Editing Model in Function Space.

Jinouwen Zhang, Junjie Ren, Aobo Yang, Yan Lu, Lu Chen, Hairun Xie, Jing Wang, Miao Zhang, Wanli Ouyang, Shixiang Tang

CoRR, February, 2025

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., June, 2024

Parametric generative schemes with geometric constraints for encoding and synthesizing airfoils.

Hairun Xie, Jing Wang, Miao Zhang

Eng. Appl. Artif. Intell., 2024

DiffFluid: Plain Diffusion Models are Effective Predictors of Flow Dynamics.

Dongyu Luo, Jianyu Wu, Jing Wang, Hairun Xie, Xiangyu Yue, Shixiang Tang

CoRR, 2024

AFBench: A Large-scale Benchmark for Airfoil Design.

Jian Liu, Jianyu Wu, Hairun Xie, Guoqing Zhang, Jing Wang, Wei Liu, Wanli Ouyang, Junjun Jiang, Xianming Liu, Shixiang Tang, Miao Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Knowledge-embedded meta-learning model for lift coefficient prediction of airfoils.

Hairun Xie, Jing Wang, Miao Zhang

Expert Syst. Appl., December, 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, Miao Zhang

CoRR, 2023

2022

Soft and Hard Constrained Parametric Generative Schemes for Encoding and Synthesizing Airfoils.

Hairun Xie, Jing Wang, Miao Zhang

CoRR, 2022