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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SDG 16 Peace, Justice and Strong Institutions
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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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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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A Framework for Mathematical Model-Guided Deep Neural Networks in Image Processing
LIU, H. (PI)
1/01/26 → 31/12/28
Project: Research project
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A Study on Deep Learning Methods for Inverse Scattering Problems
FAN, J. (PI), NG, K. P. (CoI), LIU, H. (CoI), ZHANG, Y. (CoI), Wang, Y. (PI), Zhang, Q. (CoI), Lee, W. (CoI), Zhang, J. (CoI) & Zhang, R. (CoI)
1/05/25 → 30/04/28
Project: Research project
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Novel Models and Efficient Methods for Surface Reconstruction and Fairing
LIU, H. (PI)
1/01/24 → 31/12/26
Project: Research project
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Theoretical Foundations of Deep Neural Operators: Scaling Laws, Data Structures, and Distributed Learning
LIU, H. (PI)
1/01/27 → 31/12/29
Project: Research project
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A PCA Based Model for Surface Reconstruction from Incomplete Point Clouds
Liu, H., Mar 2026, In: SIAM Journal on Imaging Sciences. 19, 1, p. 1-34 34 p.Research output: Contribution to journal › Journal article › peer-review
1 Citation (Scopus) -
Identifying Differential Equations in Fourier Domain (FourierIdent)
Tang, M., Liu, H., Liao, W. & Kang, S. H., Feb 2026, In: Journal of Scientific Computing. 106, 2, 30 p., 47.Research output: Contribution to journal › Journal article › peer-review
Open Access -
Iterative thresholding methods for longest minimal length partitions
Hu, S., Liu, H. & Wang, D., 13 Apr 2026, (E-pub ahead of print) In: Interfaces and Free Boundaries: Mathematical Analysis, Computation and Applications.Research output: Contribution to journal › Journal article › peer-review
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Vectorial Total Symmetric Variation and Applications to Color Image Decomposition
He, R. Y., Huska, M. & Liu, H., 2 Jun 2026, In: Journal of Mathematical Imaging and Vision. 68, 3, 24 p., 26.Research output: Contribution to journal › Journal article › peer-review
Open Access -
WG-IDENT: Weak group identification of PDEs with varying coefficients
Tang, C., He, R. Y. & Liu, H., 15 Jan 2026, In: Journal of Computational Physics. 545, 34 p., 114454.Research output: Contribution to journal › Journal article › peer-review
Open Access