Wang, Jian-Xun

7 publications

NeurIPS 2024 P$^2$C$^2$Net: PDE-Preserved Coarse Correction Network for Efficient Prediction of Spatiotemporal Dynamics Qi Wang, Pu Ren, Hao Zhou, Xin-Yang Liu, Zhiwen Deng, Yi Zhang, Ruizhi Chengze, Hongsheng Liu, Zidong Wang, Jian-Xun Wang, Ji-Rong Wen, Hao Sun, Yang Liu

ICLR 2023 Symbolic Physics Learner: Discovering Governing Equations via Monte Carlo Tree Search Fangzheng Sun, Yang Liu, Jian-Xun Wang, Hao Sun

NeurIPS 2023 Unifying Predictions of Deterministic and Stochastic Physics in Mesh-Reduced Space with Sequential Flow Generative Model Luning Sun, Xu Han, Han Gao, Jian-Xun Wang, Liping Liu

NeurIPS 2022 Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics with Quantified Uncertainty Luning Sun, Daniel Huang, Hao Sun, Jian-Xun Wang

LoG 2022 PatchGT: Transformer over Non-Trainable Clusters for Learning Graph Representations Han Gao, Xu Han, Jiaoyang Huang, Jian-Xun Wang, Liping Liu

ICLR 2022 Predicting Physics in Mesh-Reduced Space with Temporal Attention Xu Han, Han Gao, Tobias Pfaff, Jian-Xun Wang, Liping Liu

AAAI 2019 Adding Constraints to Bayesian Inverse Problems Jiacheng Wu, Jian-Xun Wang, Shawn C. Shadden