Rongchan Zhu

According to our database, Rongchan Zhu authored at least 6 papers between 2019 and 2023.

Collaborative distances:

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

2023

Monte Carlo Neural Operator for Learning PDEs via Probabilistic Representation.

Rui Zhang, Qi Meng, Rongchan Zhu, Yue Wang, Wenlei Shi, Shihua Zhang, Zhi-Ming Ma, Tie-Yan Liu

CoRR, 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

2020

Stochastic Heat Equations with Values in a Manifold via Dirichlet Forms.

Michael Röckner, Bo Wu, Rongchan Zhu, Xiangchan Zhu

SIAM J. Math. Anal., 2020

2019

Convergence rate for Galerkin approximation of the stochastic Allen-Cahn equations on 2D torus.

Ting Ma, Rongchan Zhu

CoRR, 2019