Projects per year
Personal profile
Chinese Name
劉皓
Biography
Dr. Hao Liu is an assistant professor in Hong Kong Baptist University. Dr. Liu received the Bachelor degree in applied and computational mathematics from Hong Kong Baptist University in 2014, and the PhD degree in applied mathematics from The Hong Kong University of Science and Technology in 2018. Before joined HKBU, he was a postdoc at Georgia Institute of Technology.
Research Interests
machine learning, deep learning theory, operator-splitting methods, image processing, numerical PDEs
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Dive into the research topics where Hao LIU is active. Topic labels come from the works of this scholar.
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Projects
- 1 Active
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An Operator-Splitting Method for the Gaussian Curvature Regularization Model with Applications to Surface Smoothing and Imaging
Liu, H., Tai, X. C. & Glowinski, R., 21 Apr 2022, In: SIAM Journal on Scientific Computing. 44, 2, p. A935-A963 29 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Citations (Scopus)5 Downloads (Pure) -
Benefits of Overparameterized Convolutional Residual Networks: Function Approximation under Smoothness Constraint
Liu, H., Chen, M., Er, S., Liao, W., Zhang, T. & Zhao, T., 17 Jul 2022, Proceedings of 39th International Conference on Machine Learning (ICML’22). Chaudhuri, K., Jegelka, S., Song, L., Szepesvari, C., Niu, G. & Sabato, S. (eds.). ML Research Press, p. 13669-13703 35 p. (Proceedings of Machine Learning Research; vol. 162).Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review
Open Access -
Robust Identification of Differential Equations by Numerical Techniques from a Single Set of Noisy Observation
He, Y., Kang, S. H., Liao, W., Liu, H. & Liu, Y., 5 May 2022, In: SIAM Journal on Scientific Computing. 44, 3, p. A1145-A1175 31 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile8 Downloads (Pure) -
A Color Elastica Model for Vector-Valued Image Regularization
Liu, H., Tai, X. C., Kimmel, R. & Glowinski, R., Apr 2021, In: SIAM Journal on Imaging Sciences. 14, 2, p. 717-748 32 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile5 Downloads (Pure) -
Besov function approximation and binary classification on low-dimensional manifolds using convolutional residual networks
Liu, H., Chen, M., Zhao, T. & Liao, W., 18 Jul 2021, Proceedings of the 38th International Conference on Machine Learning (ICML 2021). Meila, M. & Zhang, T. (eds.). ML Research Press, p. 6770-6780 11 p. (Proceedings of Machine Learning Research; vol. 139).Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review
Open Access