publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2026

  1. On Interpolation Formulas Describing Neural Network Generalization
    Jin Guo, Roy Y. He, and Jean-Michel Morel
    2026
  2. From Frequency Bias to Spectral Balance: Operator-Aware Preconditioners for PINNs
    Roy Y He, Ying Liang, Hongkai Zhao, and Yimin Zhong
    arXiv preprint arXiv:2603.00904, 2026
  3. Phase-IDENT: Identification of Two-phase PDEs with Uncertainty Quantification
    Edward L Yang and Roy Y He
    arXiv preprint arXiv:2601.11922, 2026
  4. BézierFormer: Affine-Invariant Shape Classification via Control Point Attention
    Xiao Liu, Jean-Michel Morel, and Roy Y He
    2026
  5. Vectorial Total Symmetric Variation and Applications to Color Image Decomposition
    Roy Y He, Martin Huska, and Hao Liu
    2026
  6. Robust Dynamic SPECT Reconstruction with Scarce Angular and Limited Temporal Sampling
    Yicheng Wu, Roy He, Qiaoqiao Ding, Xiaoqun Zhang, and Chao Wang
    2026

2025

  1. Improving OCR using internal document redundancy
    Diego Belzarena, Seginus Mowlavi, Aitor Artola, Camilo Mariño, Marina Gardella, Ignacio Ramı́rez, Antoine Tadros, Roy He, Natalia Bottaioli, Boshra Rajaei, and others
    In International Conference on Document Analysis and Recognition, 2025
  2. Image Decomposition with G-Norm Weighted by Total Symmetric Variation
    Roy Y He, Martin Huska, and Hao Liu
    In International Conference on Scale Space and Variational Methods in Computer Vision, 2025
  3. A Formalization of Image Vectorization by Region Merging
    Roy Y He, Sung Ha Kang, and Jean-Michel Morel
    SIAM Journal on Imaging Sciences, 2025
  4. What Can One Expect When Solving PDEs Using Shallow Neural Networks?
    Roy Y He, Ying Liang, Hongkai Zhao, and Yimin Zhong
    arXiv preprint arXiv:2510.27658, 2025
  5. Recent advances in identification of differential equations from noisy data: IDENT review
    Roy Yuchen He, Hao Liu, Wenjing Liao, and Sung Ha Kang
    Handbook of Numerical Analysis, 2025
  6. Stoch-ident: New method and mathematical analysis for identifying spdes from data
    Jianbo Cui and Roy Y He
    arXiv preprint arXiv:2508.19177, 2025
  7. Euler’s elastica-based cartoon-smooth-texture image decomposition
    Roy Y He and Hao Liu
    SIAM Journal on Imaging Sciences, 2025
  8. WG-IDENT: Weak group identification of PDEs with varying coefficients
    Cheng Tang, Roy Y He, and Hao Liu
    Journal of Computational Physics, 2025
  9. Scanned documents forensics: detecting inserted characters through noise and chromatic artifacts
    Marina Gardella, Julieta Umpierrez, Antoine Tadros, Seginus Mowlavi, Natalia Bottaioli, Diego Belzarena, Gabriele Facciolo, Roy He, Jean-Michel Morel, and Rafael Grompone Von Gioi
    In Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025
  10. Real-Time Scene Recovery from Image Scale Space and Perceptual Hue Similarity
    Roy Y He and Han Wang
    In International Conference on Scale Space and Variational Methods in Computer Vision, 2025
  11. Group projected subspace pursuit for block sparse signal reconstruction: Convergence analysis and applications
    Roy Y He, Haixia Liu, and Hao Liu
    Applied and Computational Harmonic Analysis, 2025
  12. What Can One Expect When Solving PDEs Using Shallow Neural Networks?
    Roy Y He, Ying Liang, Hongkai Zhao, and Yimin Zhong
    arXiv preprint arXiv:2510.27658, 2025
  13. WG-IDENT: Weak group identification of PDEs with varying coefficients
    Cheng Tang, Roy Y He, and Hao Liu
    Journal of Computational Physics, 2025
  14. Dynamic PET Image Reconstruction via Non-Negative INR Factorization
    Chaozhi Zhang, Wenxiang Ding, Roy Y He, Xiaoqun Zhang, and Qiaoqiao Ding
    SIAM Journal on Imaging Sciences, 2025

2024

  1. How much can one learn a partial differential equation from its solution?
    Yuchen He, Hongkai Zhao, and Yimin Zhong
    Foundations of Computational Mathematics, 2024

2023

  1. Binary shape vectorization by affine scale-space
    Yuchen He, Sung Ha Kang, and Jean-Michel Morel
    Image Processing On Line, 2023
  2. Viva: a variational image vectorization algorithm on dual-primal graph pairs
    Yuchen He, Sung Ha Kang, and Jean-Michel Morel
    In 2023 IEEE International Conference on Image Processing (ICIP), 2023
  3. Topology-and perception-aware image vectorization
    Yuchen He, Sung Ha Kang, and Jean-Michel Morel
    Journal of Mathematical Imaging and Vision, 2023
  4. Group projected subspace pursuit for identification of variable coefficient differential equations (GP-IDENT)
    Yuchen He, Sung Ha Kang, Wenjing Liao, Hao Liu, and Yingjie Liu
    Journal of Computational Physics, 2023
  5. A deep unrolled neural network for real-time MRI-guided brain intervention
    Zhao He, Ya-Nan Zhu, Yu Chen, Yi Chen, Yuchen He, Yuhao Sun, Tao Wang, Chengcheng Zhang, Bomin Sun, Fuhua Yan, and others
    Nature Communications, 2023

2022

  1. Vectorizing images of any size
    Yuchen He, Sung Ha Kang, and Jean-Michel Morel
    In 2022 IEEE International Conference on Image Processing (ICIP), 2022
  2. Numerical Identification of Nonlocal Potentials in Aggregation
    Yuchen He, Sung Ha Kang, Wenjing Liao, Hao Liu, and Yingjie Liu
    Communications in Computational Physics, 2022
  3. Silhouette vectorization by affine scale-space
    Yuchen He, Sung Ha Kang, and Jean-Michel Morel
    Journal of Mathematical Imaging and Vision, 2022
  4. Asymptotic theory of-regularized pde identification from a single noisy trajectory
    Yuchen He, Namjoon Suh, Xiaoming Huo, Sung Ha Kang, and Yajun Mei
    SIAM/ASA Journal on Uncertainty Quantification, 2022
  5. Robust identification of differential equations by numerical techniques from a single set of noisy observation
    Yuchen He, Sung-Ha Kang, Wenjing Liao, Hao Liu, and Yingjie Liu
    SIAM Journal on Scientific Computing, 2022

2021

  1. Accurate silhouette vectorization by affine scale-space
    Yuchen He, Sung Ha Kang, and Jean-Michel Morel
    In 2021 IEEE International Conference on Image Processing (ICIP), 2021
  2. Finding the skeleton of 2d shape and contours: Implementation of hamilton-jacobi skeleton
    Yuchen He, Sung Ha Kang, and Luis Alvarez
    Image Processing On Line, 2021

2020

  1. Curvature regularized surface reconstruction from point clouds
    Yuchen He, Sung Ha Kang, and Hao Liu
    SIAM Journal on Imaging Sciences, 2020

2019

  1. Lattice metric space application to grain defect detection
    Yuchen He and Sung Ha Kang
    In International Conference on Scale Space and Variational Methods in Computer Vision, 2019
  2. Lattice identification and separation: theory and algorithm
    Yuchen He and Sung H Kang
    SIAM Journal on Imaging Sciences, 2019

2018

  1. Fast algorithms for surface reconstruction from point cloud
    Yuchen He, Martin Huska, Sung Ha Kang, and Hao Liu
    In International Workshop On Image Processing and Inverse Problems, 2018