Peiyan Hu

According to our database, Peiyan Hu authored at least 8 papers between 2022 and 2024.

Collaborative distances:

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

2024

Multimodal Policies with Physics-informed Representations.

Haodong Feng, Peiyan Hu, Yue Wang, Dixia Fan

CoRR, 2024

Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey.

Haixin Wang, Yadi Cao, Zijie Huang, Yuxuan Liu, Peiyan Hu, Xiao Luo, Zezheng Song, Wanjia Zhao, Jilin Liu, Jinan Sun, Shikun Zhang, Long Wei, Yue Wang, Tailin Wu, Zhi-Ming Ma, Yizhou Sun

CoRR, 2024

Closed-loop Diffusion Control of Complex Physical Systems.

Long Wei, Haodong Feng, Peiyan Hu, Tao Zhang, Yuchen Yang, Xiang Zheng, Ruiqi Feng, Dixia Fan, Tailin Wu

CoRR, 2024

A Generative Approach to Control Complex Physical Systems.

Long Wei, Peiyan Hu, Ruiqi Feng, Haodong Feng, Yixuan Du, Tao Zhang, Rui Wang, Yue Wang, Zhi-Ming Ma, Tailin Wu

CoRR, 2024

Better Neural PDE Solvers Through Data-Free Mesh Movers.

Peiyan Hu, Yue Wang, Zhi-Ming Ma

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Deep Latent Regularity Network for Modeling Stochastic Partial Differential Equations.

Shiqi Gong, Peiyan Hu, Qi Meng, Yue Wang, Rongchan Zhu, Bingguang Chen, Zhiming Ma, Hao Ni, Tie-Yan Liu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Deep Random Vortex Method for Simulation and Inference of Navier-Stokes Equations.

Rui Zhang, Peiyan Hu, Qi Meng, Yue Wang, Rongchan Zhu, Bingguang Chen, Zhi-Ming Ma, Tie-Yan Liu

CoRR, 2022

Neural Operator with Regularity Structure for Modeling Dynamics Driven by SPDEs.

Peiyan Hu, Qi Meng, Bingguang Chen, Shiqi Gong, Yue Wang, Wei Chen, Rongchan Zhu, Zhi-Ming Ma, Tie-Yan Liu

CoRR, 2022