Scholar
Qiang Fu
Google Scholar ID: QiTtvZkAAAAJ
PhD Student at Yale University
Citations & Impact
Citations
30
H-index
3
i10-index
2
Publications
4
Co-authors
3
list available
Publications
Resume (English only)
Academic Achievements
- Hamiltonian Descent Algorithms for Optimization: Accelerated Rates via Randomized Integration Time, NeurIPS 2025 (Spotlight)
- From Randomized Hamiltonian Flow to Fast Stochastic Optimization, NeurIPS Workshop 2025
- Mean-field Underdamped Langevin Dynamics and its Space-time Discretization, ICML 2024
- Accelerated Stochastic Optimization Methods under Quasar-convexity, ICML 2023
- The Fractional Laplacian-based Image Inpainting, Inverse Problems and Imaging 2024
- Reviewer of AISTATS 2023, ICLR 2025–2026, NeurIPS 2025 (top reviewer)
Background
- Research interests: optimization, statistics, and machine learning. Focused on developing provably efficient algorithms for optimization and statistics to improve the training and inference of modern machine learning models.
