Chronological record

Open a year to browse its papers. Each entry includes available links and copyable BibTeX.

20267 papers
  1. Unpublished

    Physics-Informed Random Feature Neural Networks for Solving PDEs

    C. Chen, C. Liao, and M. Zhong

    arXiv preprint, September 2026

  2. Unpublished

    Learning Interaction Kernels from Collective Steady States

    B. Hao, M. Maggioni, and M. Zhong

    arXiv preprint, September 2026

  3. Unpublished

    Simultaneous Inference of Environmental and Interaction Forces in Collective Dynamics

    N. de Silva, M. Zhong, and J. Greene

    arXiv preprint, August 2026

  4. Unpublished

    Event-Structured Physics-Informed Neural Networks for Differentiable Critical Clearing Boundaries

    B. Hao, C. Hu, M. Zhong, and R. Wang

    arXiv preprint, July 2026

  5. Unpublished

    Crime Hotspot Dynamics in Residential Burglary Models with Police Response

    B. Hao, K. Milly, A. Quaini, and M. Zhong

    arXiv preprint, May 2026

  6. Published

    Dimension Domain Co-Decomposition: Solving PDEs with Interpretability

    S. Shang, M. Zhong, and R. Wang

    Transactions on Machine Learning Research, 2026

  7. Published

    3D-PINNS: A Unified Framework for Dimension-Wise Interpretability and Adaptive Domain Decomposition

    S. Shang, M. Zhong, and R. Wang

    ICLR Workshop on AI & PDE, 2026

20255 papers
  1. Forthcoming

    Unified Learning of the Profile Function in Discrete Keller-Segel Models

    C. Chen, C. Liu, and M. Zhong

    To appear in Advances in Computational Science and Engineering

  2. Published

    A Finite Element Framework for Simulating Residential Burglary in Realistic Urban Geometries

    B. Hao, K. Milly, A. Quaini, and M. Zhong

    Mathematical Models and Methods in Applied Sciences, 36(5): 1019–1050, 2026

  3. Published

    SEDONA-GesaRaT: A Deep Learning Accelerated Radiative Transfer Program for 3D Supernova Simulations

    X. Chen, U. Braga-Neto, L. Wang, D. Kasen, Z. Liu, F. K. Röpke, M. Zhong, and D. J. Jeffery

    The Astrophysical Journal, 1006(1): 86, 2026

  4. Unpublished

    Learning Stochastic Dynamical Systems with Structured Noise

    Z. Guo, J. Greene, and M. Zhong

    Under revision; arXiv preprint, March 2025

  5. Published

    Noise-Based Regularized Training for Diffusion Models

    Y. Shang, Y. Lu, J. Feng, M. Zhong, and Y. Yan

    19th International Conference on Machine Vision Applications, 2025

20244 papers
  1. Unpublished

    Noise-Aware System Identification for High-Dimensional Stochastic Dynamics

    Z. Guo, I. Cialenco, and M. Zhong

    Under review; arXiv preprint, October 2024

  2. Published

    Stability in Training PINNs for Stiff PDEs: Why Initial Conditions Matter

    B. Hao, C. Liu, U. Braga-Neto, L. Wang, and M. Zhong

    Foundations of Data Science, 2026

  3. Unpublished

    Label Propagation for Physics-Informed Neural Networks and Physics-Informed Gaussian Processes

    M. Zhong, D. Liu, R. Arroyave, and U. Braga-Neto

    Under revision; arXiv preprint, April 2024

  4. Published

    Learning Stochastic Dynamics from Data

    Z. Guo, I. Cialenco, and M. Zhong

    ICLR Workshop on AI4DifferentialEquations in Science, 2024

20236 papers
  1. Published

    PINNs-Based Uncertainty Quantification for Transient Stability Analysis

    R. Wang, M. Zhong, K. Xu, L. G. Sánchez-Cortés, and I. de Cominges Guerra

    CEEGE 2026, pp. 397–401; Best Poster Award

  2. Published

    Learning Collective Behaviors from Observation

    J. Feng and M. Zhong

    Explorations in the Mathematics of Data Science, pp. 101–132, 2024

  3. Published

    Attractive and Repulsive Interactions in the One-Dimensional Swarmalator Model

    B. Hao, M. Zhong, and K. O’Keeffe

    Physical Review E, 108: 064214, 2023

  4. Published

    Towards Saner Deep Image Registration

    B. Duan, M. Zhong, and Y. Yan

    IEEE/CVF International Conference on Computer Vision, pp. 12459–12468, 2023

  5. Published

    The Emergence of Lines of Hierarchy in Collective Motion of Biological Systems

    J. Greene, E. Tadmor, and M. Zhong

    Physical Biology, 20(5): 055001, 2023

  6. Unpublished

    Concurrent Emergence of Clustering, Flocking and Synchronization in Systems of Interacting Agents

    T. Gerew and M. Zhong

    arXiv preprint, February 2023

20224 papers
  1. Unpublished

    Using Physics-Informed Neural Networks for Supernova Radiative Transfer Simulation

    X. Chen, D. J. Jeffery, M. Zhong, L. McClenny, U. Braga-Neto, and L. Wang

    arXiv preprint, November 2022

  2. Published

    Learning Interaction Variables and Kernels from Observations of Agent-Based Systems

    J. Feng, M. Maggioni, P. Martin, and M. Zhong

    IFAC-PapersOnLine, 55(30): 162–167, 2022

  3. Published

    Grassmannian Packings: Trust Region Stochastic Tuning for Matrix Incoherence

    J. Park, C. Saltijeral, and M. Zhong

    58th Annual Allerton Conference, pp. 1–6, 2022

  4. Published

    Physics-Informed Neural Networks with Adaptive Localized Artificial Viscosity

    E. J. R. Coutinho, M. Dall’Aqua, L. McClenny, M. Zhong, U. Braga-Neto, and E. Gildin

    Journal of Computational Physics, 489: 112265, 2023

20212 papers
  1. Unpublished

    Machine Learning for Discovering Effective Interaction Kernels Between Celestial Bodies from Ephemerides

    B. Hao, M. Maggioni, J. Miller, and M. Zhong

    Under revision; arXiv preprint, August 2021

  2. Published

    Learning Interaction Kernels for Agent Systems on Riemannian Manifolds

    M. Maggioni, J. Miller, H. Qiu, and M. Zhong

    Proceedings of the 38th International Conference on Machine Learning, pp. 7290–7300, 2021

20202 papers
  1. Published

    Learning Theory for Inferring Interaction Kernels in Second-Order Interacting Agent Systems

    J. Miller, S. Tang, M. Zhong, and M. Maggioni

    Sampling Theory, Signal Processing, and Data Analysis, 21: 21, 2023

  2. Published

    On the Sparsity of Lasso Minimizers in Sparse Data Recovery

    S. Foucart, E. Tadmor, and M. Zhong

    Constructive Approximation, 57: 901–919, 2023

20191 paper
  1. Published

    Data-Driven Discovery of Emergent Behaviors in Collective Dynamics

    M. Zhong, J. Miller, and M. Maggioni

    Physica D: Nonlinear Phenomena, 411: 132542, 2020

20183 papers
  1. Published

    Nonparametric Inference of Interaction Laws in Systems of Agents from Trajectory Data

    F. Lu, M. Zhong, S. Tang, and M. Maggioni

    Proceedings of the National Academy of Sciences, 116(29): 14424–14433, 2019

  2. Unpublished

    Time Relaxation with Iterative Modified Lavrentiev Regularization

    M. Zhong

    arXiv preprint, September 2018

  3. Unpublished

    Iterative Refinement of a Modified Lavrentiev Regularization Method for De-Convolution of the Discrete Helmholtz Type Differential Filter

    N. Mays and M. Zhong

    arXiv preprint, January 2018

20161 paper
  1. Published

    Hierarchical Reconstruction Method for Solving Ill-Posed Linear Inverse Problems

    M. Zhong

    Ph.D. thesis, University of Maryland, College Park, 2016

20111 paper
  1. Published

    A Stochastic Mortar Mixed Finite Element Method for Flow in Porous Media with Multiple Rock Types

    B. Ganis, I. Yotov, and M. Zhong

    SIAM Journal on Scientific Computing, 33(3): 1439–1474, 2011