Wuchen Li

Orcid: 0000-0002-2218-5734

According to our database1, Wuchen Li authored at least 83 papers between 2013 and 2024.

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Bibliography

2024
A first-order computational algorithm for reaction-diffusion type equations via primal-dual hybrid gradient method.
J. Comput. Phys., March, 2024

Exponential Entropy Dissipation for Weakly Self-Consistent Vlasov-Fokker-Planck Equations.
J. Nonlinear Sci., February, 2024

Generalized optimal transport and mean field control problems for reaction-diffusion systems with high-order finite element computation.
J. Comput. Phys., 2024

A Primal-dual hybrid gradient method for solving optimal control problems and the corresponding Hamilton-Jacobi PDEs.
CoRR, 2024

Numerical Analysis on Neural Network Projected Schemes for Approximating One Dimensional Wasserstein Gradient Flows.
CoRR, 2024

Wasserstein proximal operators describe score-based generative models and resolve memorization.
CoRR, 2024

Mean field control of droplet dynamics with high order finite element computations.
CoRR, 2024

Fisher information dissipation for time inhomogeneous stochastic differential equations.
CoRR, 2024

Numerical analysis of a first-order computational algorithm for reaction-diffusion equations via the primal-dual hybrid gradient method.
CoRR, 2024

Tensor train based sampling algorithms for approximating regularized Wasserstein proximal operators.
CoRR, 2024

2023
High order spatial discretization for variational time implicit schemes: Wasserstein gradient flows and reaction-diffusion systems.
J. Comput. Phys., October, 2023

High order computation of optimal transport, mean field planning, and potential mean field games.
J. Comput. Phys., October, 2023

Computational mean-field games on manifolds.
J. Comput. Phys., July, 2023

A Time-Fractional Mean-Field Control Modeling Subdiffusive Advective Transport.
SIAM J. Sci. Comput., June, 2023

A fast proximal gradient method and convergence analysis for dynamic mean field planning.
Math. Comput., June, 2023

Controlling conservation laws I: Entropy-entropy flux.
J. Comput. Phys., May, 2023

A primal-dual approach for solving conservation laws with implicit in time approximations.
J. Comput. Phys., 2023

Entropy Dissipation for Degenerate Stochastic Differential Equations via Sub-Riemannian Density Manifold.
Entropy, 2023

Deep JKO: time-implicit particle methods for general nonlinear gradient flows.
CoRR, 2023

Primal-dual hybrid gradient algorithms for computing time-implicit Hamilton-Jacobi equations.
CoRR, 2023

Scaling Limits of the Wasserstein information matrix on Gaussian Mixture Models.
CoRR, 2023

Noise-Free Sampling Algorithms via Regularized Wasserstein Proximals.
CoRR, 2023

High order computation of optimal transport, mean field planning, and mean field games.
CoRR, 2023

A kernel formula for regularized Wasserstein proximal operators.
CoRR, 2023

2022
Energy-Efficient Velocity Control for Massive Numbers of UAVs: A Mean Field Game Approach.
IEEE Trans. Veh. Technol., 2022

Opinion Evolution in Social Networks: Connecting Mean Field Games to Generative Adversarial Nets.
IEEE Trans. Netw. Sci. Eng., 2022

Neural Parametric Fokker-Planck Equation.
SIAM J. Numer. Anal., 2022

Projected Wasserstein Gradient Descent for High-Dimensional Bayesian Inference.
SIAM/ASA J. Uncertain. Quantification, 2022

Accelerated Information Gradient Flow.
J. Sci. Comput., 2022

A Mean Field Game Inverse Problem.
J. Sci. Comput., 2022

Computational mean-field information dynamics associated with reaction-diffusion equations.
J. Comput. Phys., 2022

Controlling conservation laws II: Compressible Navier-Stokes equations.
J. Comput. Phys., 2022

Optimal Neural Network Approximation of Wasserstein Gradient Direction via Convex Optimization.
CoRR, 2022

Mean field information Hessian matrices on graphs.
CoRR, 2022

2021
Multilevel Optimal Transport: A Fast Approximation of Wasserstein-1 Distances.
SIAM J. Sci. Comput., 2021

Computational Methods for First-Order Nonlocal Mean Field Games with Applications.
SIAM J. Numer. Anal., 2021

Controlling Propagation of Epidemics via Mean-Field Control.
SIAM J. Appl. Math., 2021

Generalized unnormalized optimal transport and its fast algorithms.
J. Comput. Phys., 2021

Modeling COVID-19 with mean field evolutionary dynamics: Social distancing and seasonality.
J. Commun. Networks, 2021

Joint Sensing Task Assignment and Collision-Free Trajectory Optimization for Mobile Vehicle Networks Using Mean-Field Games.
IEEE Internet Things J., 2021

Tracial smooth functions of non-commuting variables and the free Wasserstein manifold.
CoRR, 2021

Transport information Bregman divergences.
CoRR, 2021

Belief and Opinion Evolution in Social Networks: A High-Dimensional Mean Field Game Approach.
Proceedings of the ICC 2021, 2021

Wasserstein Proximal of GANs.
Proceedings of the Geometric Science of Information - 5th International Conference, 2021

Transport Information Hessian Distances.
Proceedings of the Geometric Science of Information - 5th International Conference, 2021

2020
Mean Field Evolutionary Dynamics in Dense-User Multi-Access Edge Computing Systems.
IEEE Trans. Wirel. Commun., 2020

Equilibrium Selection via Optimal Transport.
SIAM J. Appl. Math., 2020

Interacting Langevin Diffusions: Gradient Structure and Ensemble Kalman Sampler.
SIAM J. Appl. Dyn. Syst., 2020

Fisher information regularization schemes for Wasserstein gradient flows.
J. Comput. Phys., 2020

Quantum statistical learning via Quantum Wasserstein natural gradient.
CoRR, 2020

Hessian metric via transport information geometry.
CoRR, 2020

Neural Parametric Fokker-Planck Equations.
CoRR, 2020

APAC-Net: Alternating the Population and Agent Control via Two Neural Networks to Solve High-Dimensional Stochastic Mean Field Games.
CoRR, 2020

Information Newton's flow: second-order optimization method in probability space.
CoRR, 2020

Kernelized Wasserstein Natural Gradient.
Proceedings of the 8th International Conference on Learning Representations, 2020

Joint Task Assignment and Trajectory optimization for a Mobile Robot Swarm by Mean-Field Game.
Proceedings of the IEEE Global Communications Conference, 2020

Analyzing Social Distancing and Seasonality of COVID-19 with Mean Field Evolutionary Dynamics.
Proceedings of the IEEE Globecom Workshops, 2020

Energy-efficient Velocity Control for Massive Numbers of Rotary-Wing UAVs: A Mean Field Game Approach.
Proceedings of the IEEE Global Communications Conference, 2020

2019
Solving Large-Scale Optimization Problems with a Convergence Rate Independent of Grid Size.
SIAM J. Numer. Anal., 2019

Algorithm for Hamilton-Jacobi Equations in Density Space Via a Generalized Hopf Formula.
J. Sci. Comput., 2019

Population Games and Discrete Optimal Transport.
J. Nonlinear Sci., 2019

Unnormalized optimal transport.
J. Comput. Phys., 2019

A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems.
CoRR, 2019

Wasserstein information matrix.
CoRR, 2019

Wasserstein Diffusion Tikhonov Regularization.
CoRR, 2019

Diffusion Hypercontractivity via Generalized Density Manifold.
CoRR, 2019

Hessian transport gradient flows.
CoRR, 2019

Wasserstein of Wasserstein Loss for Learning Generative Models.
Proceedings of the 36th International Conference on Machine Learning, 2019

Parametric Fokker-Planck Equation.
Proceedings of the Geometric Science of Information - 4th International Conference, 2019

Affine Natural Proximal Learning.
Proceedings of the Geometric Science of Information - 4th International Conference, 2019

Hopf-Cole Transformation and Schrödinger Problems.
Proceedings of the Geometric Science of Information - 4th International Conference, 2019

Mean Field Evolutionary Dynamics in Ultra Dense Mobile Edge Computing Systems.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018
Vector and Matrix Optimal Mass Transport: Theory, Algorithm, and Applications.
SIAM J. Sci. Comput., 2018

Unbalanced and Partial L<sub>1</sub> Monge-Kantorovich Problem: A Scalable Parallel First-Order Method.
J. Sci. Comput., 2018

Computations of Optimal Transport Distance with Fisher Information Regularization.
J. Sci. Comput., 2018

A Parallel Method for Earth Mover's Distance.
J. Sci. Comput., 2018

Ricci curvature for parametric statistics via optimal transport.
CoRR, 2018

Natural gradient in Wasserstein statistical manifold.
CoRR, 2018

Natural gradient via optimal transport I.
CoRR, 2018

Transport information geometry I: Riemannian calculus on probability simplex.
CoRR, 2018

2017
Method of evolving junctions: A new approach to optimal path-planning in 2D environments with moving obstacles.
Int. J. Robotics Res., 2017

Method of evolving junctions: A new approach to optimal control with constraints.
Autom., 2017

2013
Research on a Super-Sparse Data Generation Model for Temperature Data Map.
Proceedings of the Intelligence Science and Big Data Engineering, 2013


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