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learning.
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https://www.math.cuhk.edu.hk/people/academic-staff/rcguo
... Numerical analysis, scientific computing, data science, deep learning
Selected Publications:
S. Cao, L. ... Value Inverse Problems. International Confer- ence on Learning Representations (ICLR) 2023
I. Babuška, S. Adjerid and ...
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https://www.math.cuhk.edu.hk/people/academic-staff/tschung
... problems, Data driven multiscale model reduction, Machine learning based reduced order modelling, Discontinuous Galerkin methods: theory, ... Yalchin Efendiev and Min Wang.
Deep multiscale model learning. Journal of Computational Physics, 406 (2020), 109071.
...
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https://www.math.cuhk.edu.hk/community-outreach/cuhk-tuyf-partnership-project
... deep appreciation of mathematics. To promote collaborative learning and STEM education, students from Hong Kong True Light College, ... are required to complete coursework to understand their learning status.
Speaker: Prof. Michael McBreen
Date: To be confirmed
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https://www.math.cuhk.edu.hk/people/academic-staff/fengry
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Sparse representation, Compressive Sensing, Deep Learning, Convex optimization Hyperspectral remote sensing analysis, ... Cheng, “A semi-supervised generative framework with deep learning features for high-resolution remote sensing image scene ...
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https://www.math.cuhk.edu.hk/ddp-background
... also widen their horizon through immersing in a different learning environment. Combining the strengths of the two programmes, students ... widen their horizon through immersing in a different learning environment.
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https://www.math.cuhk.edu.hk/people/academic-staff/junchengli
... Adjustable Super-Resolution Network via Deep Supervised Learning and Progressive Self-Distillation. Neurocomputing (NC), 2022.
... Image Denoising. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020.
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https://www.math.cuhk.edu.hk/research/grants
... deblurring: from variational approaches to explainable deep learning
Prof. Tieyong ZENG
Research Grants Council - General ... Research Grants Council - General Research Fund
Learning of macroscopic parameters for multiscale problems
Prof. Eric ...
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https://www.math.cuhk.edu.hk/research/research-interests
... problems
scientific computing
scientific machine learning
medical imaging
deep learning
Prof. Liu LIU:
numerical methods for kinetic and ...
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https://www.math.cuhk.edu.hk/ddp-study-scheme
...
2.
Experiential Learning:
At least 4 consecutive weeks of outside Hong Kong exposure[h] ... approved by the Major Programme, to fulfill the Experiential Learning requirement. Students are responsible for the extra costs incurred in ...
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https://www.math.cuhk.edu.hk/course/mmat5370
... and trust, information aggregation in networks, social learning, trading in networks, technology diffusion, job search, and other ...