Research output per year
Research output per year
Personal profile
Author IDs
Scopus Author ID: 57212244670
Impact
Qualifications (Brief)
BSC & MSC (JLU), MPhil (HKBU), PhD (HKU)
Biography
Prof. Yongcun Song received his bachelor's degree and master's degree in mathematics from Jilin University (JLU), China, in 2013 and 2016, respectively. He received his MPhil in 2018 from Hong Kong Baptist Univeristy (HKBU). He obtained his PhD in 2021 from The University of Hong Kong (HKU). From 2021 to 2024, he was a Postdoc and Alexander von Humboldt Research Fellow at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany. He joined City University of Hong Kong in 2024. His main research interests focus on scientific computing, machine learning, optimal control, and optimization.
Prizes/Honours
- 2023 “Best Thesis Award” The Hong Kong Mathematical Society,.
- 2022 “Humboldt Research Fellowship for Postdocs” Alexander von Humboldt Foundation,.
- 2022 “EASIAM Student Paper Prize (first prize)” East Asia Section of SIAM.
Research Interests/Areas
- Scientific Computing
- Machine Learning
- Optimal Control
- Optimization
Teaching
- Sep 2024 - Now, MA1200 Calculus and Basic Linear Algebra I.
Fingerprint
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Collaborations from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Research output
- 12 RGC 21 - Publication in refereed journal
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FedADMM-InSa: An inexact and self-adaptive ADMM for federated learning
Song, Y., Wang, Z. & Zuazua, E., Jan 2025, In: Neural Networks. 181, 14 p., 106772.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Open AccessFile3 Citations (Scopus)50 Downloads (CityUHK Scholars) -
THE HARD-CONSTRAINT PINNS FOR INTERFACE OPTIMAL CONTROL PROBLEMS
LAI, M.-C., SONG, Y., YUAN, X., YUE, H. & ZENG, T., Jun 2025, In: SIAM Journal on Scientific Computing. 47, 3, p. C601-C629Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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An Augmented Lagrangian Method for State Constrained Linear Parabolic Optimal Control Problems
Wang, H., Yu, C. & Song, Y., Oct 2024, In: Journal of Optimization Theory and Applications. 203, p. 196-226Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
1 Citation (Scopus) -
The ADMM-PINNs Algorithmic Framework for Nonsmooth PDE-Constrained Optimization: A Deep Learning Approach
SONG, Y., YUAN, X. & YUE, H., 2024, In: SIAM Journal on Scientific Computing. 46, 6, p. C659-C687Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
2 Citations (Scopus) -
A numerical approach to the optimal control of thermally convective flows
Song, Y., Yuan, X. & Yue, H., 1 Dec 2023, In: Journal of Computational Physics. 494, 112458.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
1 Citation (Scopus)