Projects per year
Personal profile
Chinese Name
于湛
Biography
Dr. Zhan Yu is currently a Research Assistant Professor in the Department of Mathematics, at Hong Kong Baptist University.
He received his Ph.D. in Applied Mathematics at the City University of Hong Kong, an M.Phil in Mathematics at the Chinese University of Hong Kong, and a BSc degree from Jilin University. Before joining HKBU, Dr. Yu has been a Postdoctoral Research Fellow in the School of Data Science at CityU and the Department of Statistics and Actuarial Science at HKU.
Dr. Yu's research interests mainly focus on learning theory, deep learning, distributed optimization, and data science. He has served as a frequent reviewer of the journal IEEE Transactions on Neural Networks and Learning Systems.
Research Interests
Learning Theory, Deep Learning, Distributed Optimization, and Data Science
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 Zhan YU 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
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Projects
- 2 Not started
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Learning Theory of Distributed Mirror Descent on Some Typical Banach Spaces and Related Topics
1/01/25 → 31/12/27
Project: Research project
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Research Output
- 6 Journal article
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Distributed Gradient Descent for Functional Learning
Yu, Z., Fan, J., Shi, Z. & Zhou, D. X., Sept 2024, In: IEEE Transactions on Information Theory. 70, 9, p. 6547-6571 25 p.Research output: Contribution to journal › Journal article › peer-review
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Estimates on learning rates for multi-penalty distribution regression
Yu, Z. & Ho, D. W. C., Mar 2024, In: Applied and Computational Harmonic Analysis. 69, 101609.Research output: Contribution to journal › Journal article › peer-review
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Block coordinate type methods for optimization and learning
Yu, Z., May 2023, In: Analysis and Applications. 21, 3, p. 777-817 41 p.Research output: Contribution to journal › Journal article › peer-review
1 Citation (Scopus) -
Deep learning theory of distribution regression with CNNs
Yu, Z. & Zhou, D. X., Aug 2023, In: Advances in Computational Mathematics. 49, 4, 40 p., 51.Research output: Contribution to journal › Journal article › peer-review
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Distributed Stochastic Constrained Composite Optimization Over Time-Varying Network With a Class of Communication Noise
Yu, Z., Ho, D. W. C., Yuan, D. & Liu, J., Jun 2023, In: IEEE Transactions on Cybernetics. 53, 6, p. 3561-3573 13 p.Research output: Contribution to journal › Journal article › peer-review
8 Citations (Scopus)