Roy He holds a Ph.D. from Georgia Institute of Technology (Best thesis), a Master's degree from Columbia University, and a B.Sc. (Honours) from Chongqing University. He conducted research as a visiting researcher at Ecole Normale Superieure Paris-Saclay in 2020. Although accepted as a post-doctoral candidate at Duke University in 2021, he was unable to attend due to COVID-related travel restrictions. Instead, he served as a post-doctoral researcher at Shanghai Jiao Tong University from 2021 to 2023. In 2023, he joined City University of Hong Kong as an Assistant Professor.
His research interests encompass variational and statistical image processing (segmentation, decomposition, reconstruction, color enhancement, etc.), data-driven modeling (PDE identification), mathematical computer graphics (image vectorization), numerical PDE and optimization, and deep learning theory and applications in computer vision.
Awards and Achievements
- 2022 “GT Sigma Xi Best PhD Thesis Award” Georgia Institute of Technology.
- 2021 “International Postdoctoral Exchange Fellowship” Office of China Postdoc Council.
- 2020 “Larry O'Hara Fellowship” Georgia Institute of Technology.
- 2020 “Chateaubriand Fellowship” Embassy of France in United States.
Journal
- He, Roy. & Liu, Hao. (2024). Euler's Elastica Based Cartoon-Smooth-Texture Image Decomposition. arXiv preprint arXiv:2407.02794.
- He, Roy. , Liu, Haixia. & Liu, Hao. (2024). Group Projected Subspace Pursuit for Block Sparse Signal Reconstruction: Convergence Analysis and Applications. arXiv:2407.07707v1.
- Feng, Yuan. , He, Zhao. , Zhu, Ya-Nan. , Chen, Yu. , He, Yuchen. , Sun, Yuhao. , Wang, Tao. , Zhang, Chengcheng. , Sun, Bomin. , Yan, Fuhua. , Zhang, Xiaoqun. , Sun, Qing Fang. & Yang, Guang Zhong. (Nov 2023). A deep unrolled neural network for real-time MRI-guided brain intervention. Nature Communications. 14, 8257 (2023). doi:https://doi.org/10.1038/s41467-023-43966-w
- He, Yuchen. , Zhao, Hongkai. & Zhong, Yimin. (Oct 2023). How much can one learn a partial differential equation from its solution?. Foundations of Computational Mathematics. doi:https://doi.org/10.1007/s10208-023-09620-z
- He, Yuchen. , Kang, Sung Ha. , Liao, Wenjing. , Liu, Hao. & Liu, Yingjie. (Sep 2023). Group Projected subspace pursuit for IDENTification of variable coefficient differential equations (GP-IDENT). Journal of Computational Physics. 494. doi:https://doi.org/10.1016/j.jcp.2023.112526
- He, Yuchen. , Kang, Sung Ha. & Morel, Jean-Michel. (Feb 2023). Binary Shape Vectorization by Affine Scale-Space. Image Processing On Line. 13. 22 - 37.
- He, Yuchen. , Kang, Sung Ha. & Morel, Jean-Michel. (2023). Topology- and Perception-Aware Image Vectorization. Journal of Mathematical Imaging and Vision. 1 - 20.
- He, Yuchen. , Huo, Xiaoming. , Kang, Sung Ha. , Mei, Yajun. & Suh, Namjoon. (2022). Asymptotic Theory of $\ell_1$-Regularized PDE Identification from a Single Noisy Trajectory. SIAM/ASA Journal on Uncertainty Quantification. 10(3). 1012 - 36.
- He, Yuchen. , Kang, Sung Ha. , Liao, Wenjing. , Liu, Hao. & Liu, Yingjie. (2022). Numerical Identification of Nonlocal Potentials in Aggregation. Communications in Computational Physics. 32 (3). 638 - 670.
- He, Yuchen. , Kang, Sung Ha. , Liao, Wenjing. , Liu, Hao. & Liu, Yingjie. (2022). Robust Identification of Differential Equations by Numerical Techniques from a Single Set of Noisy Observation. SIAM Journal on Scientific Computing. 44(3). A1145 - 75.
- He, Yuchen. , Kang, Sung Ha. & Morel, Jean-Michel. (2022). Silhouette Vectorisation by Affine Scale-space. Journal of Mathematical Imaging and Vision. 64(1). 41 - 56.
- He, Yuchen. , Kang, Sung Ha. & Alvarez, Luis. (2021). Finding the Skeleton of 2D Shape and Contours: Implementation of Hamilton-Jacobi Skeleton. Image Processing On Line. 11. 18 - 36.
- He, Yuchen. , Kang, Sung Ha. & Liu, Hao. (2020). Curvature Regularized Surface Reconstruction from Point Clouds. SIAM Journal on Imaging Sciences. 13(4). 1834 - 1859.
- He, Yuchen. (2020). Underwater Image Color Correction by Complementary Adaptation. arXiv preprint. arXiv:2010.10748.
- He, Yuchen. & Kang, Sung Ha. (2019). Lattice Identification and Separation: Theory and Algorithm. SIAM Journal on Imaging Sciences. 12(4). 2063 - 96.
- Maleki, Arash. , Sahawneh, Haitham. , Lina, Ma. , Meese, Halea. , He, Yuchen. & Foster, Stephen. (May 2017). Infliximab therapy in patients with noninfectious intermediate uveitis resistant to conventional immunomodulatory therapy. Retina. 37 (5). 836 - 843.
- Maleki, Arash. , Swan, Robert. , Silpha-Archa, Sukhum. , Preble, Janine. , He, Yuchen. & Foster, Stephen. (Mar 2016). Short-wavelength automated perimetry parameters at baseline and following remission in patients with birdshot retinochoroidopathy. American Journal of Ophthalmology. 163. 83 - 92.
Conference Paper
- He, Yuchen. , Kang, Sung Ha. & Jean-Michel, Morel. (Oct 2023). VIVA: a Variational Image Vectorization Algorithm on Dual-Primal Graph Pairs. 2023 IEEE International Conference on Image Processing. (pp. 1285 - 1289). Kuala Lumpur. Malaysia: .
- He, Yuchen. , Kang, Sung Ha. & Morel, Jean-Michel. (2022). Vectorizing Images of Any Size. 2022 IEEE International Conference on Image Processing. (pp. 816 - 820).
- He, Yuchen. , Kang, Sung Ha. & Morel, Jean-Michel. (2021). Accurate Silhouette Vectorisation by Affine Scale-space. IEEE International Confereence on Image Processing. (pp. 1539 - 1543).
- He, Yuchen. , Huska, Martin. , Kang, Sung Ha. & Liu, Hao. (2021). Fast Algorithms for Surface Reconstruction from Point Cloud. Mathematical Methods in Image Processing and Inverse Problems. 2018. (pp. 61 - 80).
- He, Yuchen. & Kang, Sung Ha. (2019). Lattice Metric Space Application to Grain Defect Detection. Proceedings of Scale Space and Variational Methods in Computer Vision. 2019. (pp. 381 - 392).
Service in CityU
Administrative Assignment
- 2023 - 2024, MA Representative for EE Programme Committees, Department representative.
Teaching Service
- Jan 2024 - Apr 2024, Complex Analysis.
- Sep 2023 - Dec 2023, Calc & Basic Linear Algebra I.
Conferences Attended
- 8 Jul 2024 - 12 Jul 2024, 2024 SIAM Annual Meeting, Spokane, US.
- 12 Dec 2023, IPOL/MLBriefs 2023, ENS Paris-Saclay, France (remote).
- 8 Oct 2023 - 11 Oct 2023, IEEE ICIP 2023, Kuala Lumpur, Malaysia.
- Jun 2023, 10th International Congress for Industrial and Applied Mathematics (ICIAM), Japan.
- Jun 2023, International Conference on Applied Mathematics (ICAM) 2023, Hong Kong.
- May 2023, The 12th Conference on Inverse Problems, Imaging and Applications, China.
- 16 Oct 2022 - 19 Oct 2022, IEEE ICIP 2022, Bordeaux France.
- 19 Sep 2021 - 22 Sep 2021, IEEE ICIP 2021, Anchorage, Alaska, USA.
Last update date :
12 Jul 2024
