Tempo: Feature-endowed teichmuller extremal mappings of point clouds TW Meng, GPT Choi, LM Lui SIAM Journal on Imaging Sciences 9 (4), 1922-1962, 2016 | 30 | 2016 |

Overcoming the curse of dimensionality for some Hamilton–Jacobi partial differential equations via neural network architectures J Darbon, GP Langlois, T Meng Research in the Mathematical Sciences 7 (3), 1-50, 2020 | 20 | 2020 |

On some neural network architectures that can represent viscosity solutions of certain high dimensional Hamilton–Jacobi partial differential equations J Darbon, T Meng Journal of Computational Physics 425, 109907, 2021 | 9 | 2021 |

On Decomposition Models in Imaging Sciences and Multi-time Hamilton--Jacobi Partial Differential Equations J Darbon, T Meng SIAM Journal on Imaging Sciences 13 (2), 971-1014, 2020 | 7 | 2020 |

The theory of computational quasi-conformal geometry on point clouds TW Meng, LM Lui arXiv preprint arXiv:1510.05104, 2015 | 3 | 2015 |

PCBC: quasiconformality of point cloud mappings T Meng, LM Lui Journal of Scientific Computing 77 (1), 597-633, 2018 | 2 | 2018 |

Connecting Hamilton--Jacobi partial differential equations with maximum a posteriori and posterior mean estimators for some non-convex priors J Darbon, GP Langlois, T Meng arXiv preprint arXiv:2104.11285, 2021 | | 2021 |

Representing exact viscosity solutions to high dimensional Hamilton–Jacobi PDEs using neural network architectures T Meng | | |