Optimization
Optimization problems in finance, machine learning, and operations research.Work in optimization, scientific computing, and photography.
Notes on research, a few papers, and photographs from the road.
Scientific computing
Sparse linear systems, matrix reordering, and parallel computing.Imaging
Work on focus, stabilization, and selective AI-assisted photo editing.Places I've been
Selected papers
Efficient Algorithms for General Isotone Optimization
Algorithmic work on general order-constrained optimization, focused on efficient methods that scale beyond the narrowest special cases.
AAAI · 2022
Efficient and Scalable Parametric High-Order Portfolios Design via the Skew-t Distribution
A portfolio-optimization formulation that brings higher-order moments into a scalable parametric model instead of treating them as a purely theoretical extension.
IEEE Transactions on Signal Processing · 2023
Learning Large-Scale MTP2 Gaussian Graphical Models via Bridge-Block Decomposition
A decomposition-based route for learning large-scale structured graphical models while keeping the computation practical at nontrivial problem sizes.
NeurIPS · 2023
Algorithmic vocabulary
Techniques that show up across papers and projects.
- Active Set Methods
- ADMM
- Block Coordinate Descent
- Fixed Point Acceleration
- Majorization-Minimization
- Projected Gradient Methods
- Quasi-Newton Methods
- Successive Convex Approximation
Based in Hong Kong · For research, analysis, or creative work, get in touch via Contact.