A Stochastic Mortar Mixed Finite Element Method for Flow in Porous Media with Multiple Rock Types. - Benjamin Ganis; Ivan Yotov; Ming Zhong 008 (SIAM J. Sci. Comput., 2011)

Nonparametric inference of interaction laws in systems of agents from trajectory data. - Fei Lu 016; Mauro Maggioni; Sui Tang; Ming Zhong 008 (CoRR, 2018)

Data-driven Discovery of Emergent Behaviors in Collective Dynamics. - Mauro Maggioni; Jason Miller; Ming Zhong 008 (CoRR, 2019)

Sparse recovery of noisy data using the Lasso method. - Eitan Tadmor; Ming Zhong 008 (CoRR, 2020)

Learning Theory for Inferring Interaction Kernels in Second-Order Interacting Agent Systems. - Jason Miller; Sui Tang; Ming Zhong 008; Mauro Maggioni (CoRR, 2020)

Learning Interaction Kernels for Agent Systems on Riemannian Manifolds. - Mauro Maggioni; Jason Miller; Hongda Qiu; Ming Zhong 008 (ICML, 2021)

Machine Learning for Discovering Effective Interaction Kernels between Celestial Bodies from Ephemerides. - Ming Zhong 008; Jason Miller; Mauro Maggioni (CoRR, 2021)

Learning Interaction Variables and Kernels from Observations of Agent-Based Systems. - Jinchao Feng; Mauro Maggioni; Patrick Martin; Ming Zhong 008 (CoRR, 2022)

Learning Collective Behaviors from Observation. - Jinchao Feng; Ming Zhong 008 (CoRR, 2023)

Physics-informed neural networks with adaptive localized artificial viscosity. - Emilio Jose Rocha Coutinho; Marcelo Dall'Aqua; Levi D. McClenny; Ming Zhong 008; Ulisses Braga-Neto; Eduardo Gildin (J. Comput. Phys., 2023)

Label Propagation Training Schemes for Physics-Informed Neural Networks and Gaussian Processes. - Ming Zhong 008; Dehao Liu; Raymundo Arróyave; Ulisses Braga-Neto (CoRR, 2024)

Structure Preserving PINN for Solving Time Dependent PDEs with Periodic Boundary. - Baoli Hao; Ulisses Braga-Neto; Chun Liu; Lifan Wang; Ming Zhong 008 (CoRR, 2024)