Wuchen Li
Orcid: 0000-0002-2218-5734
According to our database1,
Wuchen Li
authored at least 87 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
Optimal Neural Network Approximation of Wasserstein Gradient Direction via Convex Optimization.
SIAM J. Math. Data Sci., 2024
J. Comput. Phys., 2024
Generalized optimal transport and mean field control problems for reaction-diffusion systems with high-order finite element computation.
J. Comput. Phys., 2024
A Natural Primal-Dual Hybrid Gradient Method for Adversarial Neural Network Training on Solving Partial Differential Equations.
CoRR, 2024
Score-based Neural Ordinary Differential Equations for Computing Mean Field Control Problems.
CoRR, 2024
Convergence of Noise-Free Sampling Algorithms with Regularized Wasserstein Proximals.
CoRR, 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
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
SIAM J. Sci. Comput., June, 2023
A fast proximal gradient method and convergence analysis for dynamic mean field planning.
Math. Comput., June, 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
Primal-dual hybrid gradient algorithms for computing time-implicit Hamilton-Jacobi equations.
CoRR, 2023
CoRR, 2023
High order computation of optimal transport, mean field planning, and mean field games.
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
SIAM/ASA J. Uncertain. Quantification, 2022
Computational mean-field information dynamics associated with reaction-diffusion equations.
J. Comput. Phys., 2022
J. Comput. Phys., 2022
2021
SIAM J. Sci. Comput., 2021
SIAM J. Numer. Anal., 2021
SIAM J. Appl. Math., 2021
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
Belief and Opinion Evolution in Social Networks: A High-Dimensional Mean Field Game Approach.
Proceedings of the ICC 2021, 2021
Proceedings of the Geometric Science of Information - 5th International Conference, 2021
Proceedings of the Geometric Science of Information - 5th International Conference, 2021
2020
IEEE Trans. Wirel. Commun., 2020
SIAM J. Appl. Dyn. Syst., 2020
J. Comput. Phys., 2020
APAC-Net: Alternating the Population and Agent Control via Two Neural Networks to Solve High-Dimensional Stochastic Mean Field Games.
CoRR, 2020
CoRR, 2020
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
A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems.
CoRR, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the Geometric Science of Information - 4th International Conference, 2019
Proceedings of the Geometric Science of Information - 4th International Conference, 2019
Proceedings of the Geometric Science of Information - 4th International Conference, 2019
Proceedings of the 2019 IEEE Global Communications Conference, 2019
2018
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
J. Sci. Comput., 2018
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
Autom., 2017
2013
Proceedings of the Intelligence Science and Big Data Engineering, 2013