华中科技大学数学与统计学院 教授
联系方式
邮箱：xuhui_meng@hust.edu.cn
教育经历
2012年9月-2017年9月：华中科技大学，博士
2008年9月-2012年6月：华中科技大学，本科
研究方向
[1] 数据驱动的深度学习建模与应用
[2] 不确定性量化
[3] 高性能计算
科研项目
[1]基于物理机理深度学习的高效不确定性量化模型研究，国家自然科学基金委，2023年1月-2025年12月
[2]人工智能科学计算共性平台,科技部科技创新2030-“新一代人工智能”重大项目子课题,2023年3月-2026年2月
[3]内嵌物理机理的贝叶斯深度学习模型发展及其应用，百度公司，2022年9月1号-2023年8月31号
代表性成果(#:共同一作；*：通讯作者 )
[1] Zongren Zou, Xuhui Meng∗, George Em Karniadakis, NeuralUQ: A comprehensive library for uncertainty quantification in neural differential equations and operators, SIAM Review, 66 (2024), 161-190.
[2] Zongren Zou, Xuhui Meng∗, George Em Karniadakis, Correcting model misspecification in physics-informed neural networks (PINNs), Journal of Computational Physics, 505 (2024) 112918.
[3] A. F. Psaros#, X. Meng#, Z. Zou, L. Guo, G. E. Karniadakis, Uncertainty quantification in scientific machine learning: Methods, metrics, and comparisons, Journal of Computational Physics, 477(2023), 111902.
[4] Xuhui Meng, Liu Yang, George Em Karniadakis, Learning functional priors and posteriors from data and physics, Journal of Computational Physics, 457 (2022), 111073.
[5] Xuhui Meng, Zhicheng Wang, Dixia Fan, Michael Triantafyllou, George Em Karniadakis, A fast multi-fidelity method with uncertainty quantification for complex data correlations: Application to vortex-induced vibrations of marine risers, Computer Methods in Applied Mechanics and Engineering, 386 (2021) 114212.
[6] Xuhui Meng, Hessam Babaee, George Em Karniadakis, Multi-fidelity Bayesian Neural Networks: Algorithms andApplications, Journal of Computational Physics, 438 (2021) 110361.
[7] Lu Lu, Xuhui Meng, Zhiping Mao, George Em Karniadakis, DeepXDE: A deep learning library for solving differential equations, SIAM Review, 3 (2021), 208-228.
[8] Liu Yang#, Xuhui Meng#, George Em Karniadakis, B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data, Journal of Computational Physics, 25 (2021), 109913.
[9]. Xuhui Meng, George Em Karniadakis, A composite neural network that learns from multi-fidelity data: Application to function approximation and inverse PDE problems, Journal of Computational Physics, 01 (2020), 109020.
[10]. Xuhui Meng, Zhen Li, Donkun Zhang, George Em Karniadakis, PPINN: Parareal physics-informed neural network for time-dependent PDEs, Computer Methods in Applied Mechanics and Engineering, 370 (2020) 113250.
学术荣誉：
【1】 国家级青年人才项目获得者
【2】 小米青年学者
【3】 湖北省“百人计划”青年项目
【4】 2024 年斯坦福大学/爱思唯尔全球前 2% 科学家榜单
