Scholar
Yueming Lyu
Google Scholar ID: uQXB6-oAAAAJ
Research Scientist, A*STAR
Citations & Impact
Citations
545
H-index
10
i10-index
10
Publications
20
Co-authors
12
list available
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- One paper accepted to NeurIPS 2025; one paper accepted to TMLR; one paper accepted to ICML 2025; two papers accepted to ICLR 2025; selected recent publications include 'MermaidFlow: Redefining Agentic Workflow Generation via Safety-Constrained Evolutionary Programming' (Preprint) and 'Nonparametric Distributional Black-box Optimization via Diffusion Process' (ICLR 2025 DeLTa Workshop, 2025).
Research Experience
- Currently a Research Scientist at the Centre for Frontier AI Research (CFAR) in the Agency for Science, Technology and Research (A*STAR). Serving as Area Chair for ICLR 2026 and Workflow Chair for AAAI26-Trustworthy Agentic AI Workshop.
Education
- Ph.D. from the Australian Artificial Intelligence Institute (AAII) at the University of Technology Sydney (UTS), supervised by Prof. Ivor W. Tsang; B.Eng and M.Eng in Computer Science and Technology from South China University of Technology.
Background
- Research interests lie in statistical machine learning and optimization, particularly black-box optimization, kernel methods, and approximation theory. Currently a Research Scientist at the Centre for Frontier AI Research (CFAR).
Miscellany
- Looking for self-motivated students to work on cutting-edge research projects. Accepts PhD students, research interns, and CSC visiting students supported by his funding/grants or scholarships (e.g., A*STAR SINGA Scholarship, A*STAR SIPGA Scholarship, and ARAP).
