معرفی
Wuchen Li is an Assistant Professor in Mathematics at the University of South Carolina, specializing in Transport information geometry and its applications across Complex Dynamical systems, PDEs, Statistics, Optimization, Control and Games, Mathematical Data science, Graphs and Neural networks, and Scientific Computations. His work bridges theoretical mathematics with practical algorithms for machine learning, Bayesian inference, and optimal transport problems.
His research explores geometric frameworks for probability spaces, including Wasserstein-2 metrics, Onsager gradient flows, and primal-dual hybrid gradient algorithms. Recent publications focus on accelerated sampling methods, mean field control systems, and novel applications of optimal transport in high-dimensional settings.
- 2022: Air Force Office of Scientific Research YIP award for Transport Information Geometric Computations
Key article trends include stochastic differential equations (37%), Wasserstein gradient flows (42%), Markov chain Monte Carlo (28%), and Hamilton-Jacobi-Bellman equations (33%). Subfields span accelerated optimization, nonlinear mobility metrics, generative modeling, and reaction-diffusion systems.
