Projects per year
Personal profile
Chinese Name
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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Collaborations and top research areas from the last five years
Projects
- 2 Active
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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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Deep convolutional neural networks meet variational shape compactness priors for image segmentation
Zhang, K., Li, L., Liu, H., Yuan, J. & Tai, X. C., 28 Mar 2025, In: Neurocomputing. 623, 17 p., 129395.Research output: Contribution to journal › Journal article › peer-review
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Euler's Elastica-Based Cartoon-Smooth-Texture Image Decomposition
He, R. Y. & Liu, H., Mar 2025, In: SIAM Journal on Imaging Sciences. 18, 1, p. 526-569 44 p.Research output: Contribution to journal › Journal article › peer-review
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Generalization error guaranteed auto-encoder-based nonlinear model reduction for operator learning
Liu, H., Dahal, B., Lai, R. & Liao, W., Jan 2025, In: Applied and Computational Harmonic Analysis. 74, 42 p., 101717.Research output: Contribution to journal › Journal article › peer-review
1 Citation (Scopus) -
Group projected subspace pursuit for block sparse signal reconstruction: Convergence analysis and applications
He, R. Y., Liu, H. & Liu, H., Feb 2025, In: Applied and Computational Harmonic Analysis. 75, 28 p., 101726.Research output: Contribution to journal › Journal article › peer-review
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Deep nonparametric estimation of intrinsic data structures by chart autoencoders: Generalization error and robustness
Liu, H., Havrilla, A., Lai, R. & Liao, W., Jan 2024, In: Applied and Computational Harmonic Analysis. 68, 101602.Research output: Contribution to journal › Journal article › peer-review
1 Citation (Scopus)