About

I am an Assistant Professor in the Department of Mathematics at National Central University. My research lies at the intersection of manifold learning, machine learning, and applied mathematics, with particular interests in spectral methods, kernel methods, and learning theory.

Research Interests

Manifold Learning and Spectral Methods

I develop geometric and computational methods for complex data, including diffusion maps, vector diffusion maps, multimodal learning, and scalable landmark methods.

Machine Learning and Kernel Methods

I study statistical and theoretical aspects of machine learning, including kernel-based reinforcement learning, sample complexity, and uncertainty in data-driven models.

International Research Experiences

• Technion – Israel Institute of Technology, Haifa, Israel · December 2025–June 2026
  Research Visitor
• IBM Thomas J. Watson Research Center, New York, U.S. · July–August 2018
  Overseas Internship Program (Ministry of Education)

Industry Internship Experiences

• Delta Electronics – Delta Smart Manufacturing R&D Center · August–October 2024
  Research Engineer Intern / Intelligent Process Automation for HSK Insertion
• MediaTek Research · July–October 2022
  Research Scientist Intern / Sample Complexity of Kernel-Based Q-Learning

Education

• Ph.D. in Data Science, National Taiwan University and Academia Sinica · 2026
• M.S. in Applied Mathematical Sciences, National Taiwan University · 2020
• B.S. in Applied Mathematics, National Chiao Tung University · 2017

Publications

[1] “S.-Y. Yeh”, Y.-A. Wu, H.-T. Wu, and M.-P. Tsui, Accelerate Vector Diffusion Maps by Landmarks, arXiv:2603.21247 (2026). Link

[2] Y.-J. Yen, D.-Y. Lu, “S.-Y. Yeh”, J.-J. Ding, and C.-Y. Shen, High-Order Synchrosqueezed Chirplet Transforms for Multicomponent Signal Analysis, Applied and Computational Harmonic Analysis, 82, 101839 (2026). Link

[3] “S.-Y. Yeh” and C.-H. Yang, Uncertainty of Network Topology with Applications to Out-of-Distribution Detection, arXiv:2511.18813; submitted for journal publication (2025). Link

[4] “S.-Y. Yeh”, H.-T. Wu, R. Talmon, and M.-P. Tsui, Landmark Alternating Diffusion, SIAM Journal on Mathematics of Data Science, 7(2), 621–642 (2025). Link

[5] “S.-Y. Yeh”, F.-C. Chang, C.-W. Yueh, P.-Y. Wu, A. Bernacchia, and S. Vakili, Sample Complexity of Kernel-Based Q-Learning, Proceedings of the 26th International Conference on Artificial Intelligence and Statistics (AISTATS), PMLR 206 (2023). Link

Publication details and additional links →

Honors and Awards

• Excellent Research Award, Taiwan-Japan Joint Workshop for Young Scholars in Applied Mathematics · 2025
• MATLAB & Simulink Call for Papers Merit Award, TeraSoft & MathWorks · 2024
• TiC100 Entrepreneurial Action Award, Taiwan Social Enterprise Innovation and Entrepreneurship Society · 2024
• Yunus Prize, 8th Social Innovation and Entrepreneurship Competition, National Central University · 2023
• College Student Research Creativity Award, Ministry of Science and Technology · 2016

Invited Talks and Presentations

• The 10th Computational Mathematics & Scientific Computing for Young Researchers · August 2026
• The 26th Conference of the International Linear Algebra Society · June 2025
• The 15th Taiwan-Japan Joint Workshop for Young Scholars in Applied Mathematics · March 2025
• NSTC-NCTS-SPEC Joint Conference on Interdisciplinary Research · April 2024
• Meet Physicians, Mathematicians and Statisticians · March 2022