Research on a Super-Sparse Data Generation Model for Temperature Data Map. - Dongmei Fu; Wuchen Li; Xingen Li; Xiaoming Wang (IScIDE, 2013)

Method of evolving junctions: A new approach to optimal control with constraints. - Wuchen Li; Jun Lu; Haomin Zhou 001; Shui-Nee Chow (Autom., 2017)

Method of evolving junctions: A new approach to optimal path-planning in 2D environments with moving obstacles. - Wuchen Li; Shui-Nee Chow; Magnus Egerstedt; Jun Lu; Haomin Zhou 001 (Int. J. Robotics Res., 2017)

Transport information geometry I: Riemannian calculus on probability simplex. - Wuchen Li (CoRR, 2018)

Natural gradient via optimal transport I. - Wuchen Li; Guido Montúfar (CoRR, 2018)

Natural gradient in Wasserstein statistical manifold. - Yifan Chen; Wuchen Li (CoRR, 2018)

Ricci curvature for parametric statistics via optimal transport. - Wuchen Li; Guido Montúfar (CoRR, 2018)

A Parallel Method for Earth Mover's Distance. - Wuchen Li; Ernest K. Ryu; Stanley J. Osher; Wotao Yin; Wilfrid Gangbo (J. Sci. Comput., 2018)

Computations of Optimal Transport Distance with Fisher Information Regularization. - Wuchen Li; Penghang Yin; Stanley J. Osher (J. Sci. Comput., 2018)

Unbalanced and Partial L1 Monge-Kantorovich Problem: A Scalable Parallel First-Order Method. - Ernest K. Ryu; Wuchen Li; Penghang Yin; Stanley J. Osher (J. Sci. Comput., 2018)

Vector and Matrix Optimal Mass Transport: Theory, Algorithm, and Applications. - Ernest K. Ryu; Yongxin Chen; Wuchen Li; Stanley J. Osher (SIAM J. Sci. Comput., 2018)

Mean Field Evolutionary Dynamics in Ultra Dense Mobile Edge Computing Systems. - Hao Gao 008; Wuchen Li; Reginald A. Banez; Zhu Han 001; H. Vincent Poor (GLOBECOM, 2019)

Hopf-Cole Transformation and Schrödinger Problems. - Flavien Léger; Wuchen Li (GSI, 2019)

Affine Natural Proximal Learning. - Wuchen Li; Alex Tong Lin; Guido Montúfar (GSI, 2019)

Parametric Fokker-Planck Equation. - Wuchen Li; Shu Liu; Hongyuan Zha; Haomin Zhou 001 (GSI, 2019)

Wasserstein of Wasserstein Loss for Learning Generative Models. - Yonatan Dukler; Wuchen Li; Alex Tong Lin; Guido Montúfar (ICML, 2019)

Hessian transport gradient flows. - Wuchen Li; Lexing Ying (CoRR, 2019)

Diffusion Hypercontractivity via Generalized Density Manifold. - Wuchen Li (CoRR, 2019)

Accelerated Information Gradient flow. - Yifei Wang 005; Wuchen Li (CoRR, 2019)

Wasserstein Diffusion Tikhonov Regularization. - Alex Tong Lin; Yonatan Dukler; Wuchen Li; Guido Montúfar (CoRR, 2019)

Wasserstein information matrix. - Wuchen Li; Jiaxi Zhao (CoRR, 2019)

A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems. - Lars Ruthotto; Stanley J. Osher; Wuchen Li; Levon Nurbekyan; Samy Wu Fung (CoRR, 2019)

Unnormalized optimal transport. - Wilfrid Gangbo; Wuchen Li; Stanley J. Osher; Michael A. Puthawala (J. Comput. Phys., 2019)

Population Games and Discrete Optimal Transport. - Shui-Nee Chow; Wuchen Li; Jun Lu; Haomin Zhou 001 (J. Nonlinear Sci., 2019)

Algorithm for Hamilton-Jacobi Equations in Density Space Via a Generalized Hopf Formula. - Yat Tin Chow; Wuchen Li; Stanley J. Osher; Wotao Yin (J. Sci. Comput., 2019)

Solving Large-Scale Optimization Problems with a Convergence Rate Independent of Grid Size. - Matt Jacobs; Flavien Léger; Wuchen Li; Stanley J. Osher (SIAM J. Numer. Anal., 2019)

Energy-efficient Velocity Control for Massive Numbers of Rotary-Wing UAVs: A Mean Field Game Approach. - Hao Gao 008; Wonjun Lee 004; Wuchen Li; Zhu Han 001; Stanley J. Osher; H. Vincent Poor (GLOBECOM, 2020)

Analyzing Social Distancing and Seasonality of COVID-19 with Mean Field Evolutionary Dynamics. - Hao Gao 008; Wuchen Li; Miao Pan; Zhu Han 001; H. Vincent Poor (GLOBECOM (Workshops), 2020)

Joint Task Assignment and Trajectory optimization for a Mobile Robot Swarm by Mean-Field Game. - Yuhan Kang; Siting Liu 003; Wonjun Lee 004; Hongliang Zhang 001; Wuchen Li; Zhu Han 001 (GLOBECOM, 2020)

Kernelized Wasserstein Natural Gradient. - Michael Arbel; Arthur Gretton; Wuchen Li; Guido Montúfar (ICLR, 2020)

Information Newton's flow: second-order optimization method in probability space. - Yifei Wang 005; Wuchen Li (CoRR, 2020)

APAC-Net: Alternating the Population and Agent Control via Two Neural Networks to Solve High-Dimensional Stochastic Mean Field Games. - Alex Tong Lin; Samy Wu Fung; Wuchen Li; Levon Nurbekyan; Stanley J. Osher (CoRR, 2020)

Neural Parametric Fokker-Planck Equations. - Shu Liu; Wuchen Li; Hongyuan Zha; Haomin Zhou 001 (CoRR, 2020)

Hessian metric via transport information geometry. - Wuchen Li (CoRR, 2020)

Quantum statistical learning via Quantum Wasserstein natural gradient. - Simon Becker; Wuchen Li (CoRR, 2020)

Fisher information regularization schemes for Wasserstein gradient flows. - Wuchen Li; Jianfeng Lu 001; Li Wang 036 (J. Comput. Phys., 2020)

Interacting Langevin Diffusions: Gradient Structure and Ensemble Kalman Sampler. - Alfredo Garbuno-Inigo; Franca Hoffmann; Wuchen Li; Andrew M. Stuart (SIAM J. Appl. Dyn. Syst., 2020)

Equilibrium Selection via Optimal Transport. - Shui-Nee Chow; Wuchen Li; Jun Lu; Haomin Zhou 001 (SIAM J. Appl. Math., 2020)

Mean Field Evolutionary Dynamics in Dense-User Multi-Access Edge Computing Systems. - Hao Gao 008; Wuchen Li; Reginald A. Banez; Zhu Han 001; H. Vincent Poor (IEEE Trans. Wirel. Commun., 2020)

Transport Information Hessian Distances. - Wuchen Li (GSI, 2021)

Wasserstein Proximal of GANs. - Alex Tong Lin; Wuchen Li; Stanley J. Osher; Guido Montúfar (GSI, 2021)

Belief and Opinion Evolution in Social Networks: A High-Dimensional Mean Field Game Approach. - Hao Gao 008; Alex Tong Lin; Reginald A. Banez; Wuchen Li; Zhu Han 001; Stanley J. Osher; H. Vincent Poor (ICC, 2021)

Transport information Bregman divergences. - Wuchen Li (CoRR, 2021)

Tracial smooth functions of non-commuting variables and the free Wasserstein manifold. - David Jekel; Wuchen Li; Dimitri Shlyakhtenko (CoRR, 2021)

Joint Sensing Task Assignment and Collision-Free Trajectory Optimization for Mobile Vehicle Networks Using Mean-Field Games. - Yuhan Kang; Siting Liu 003; Hongliang Zhang 001; Wuchen Li; Zhu Han 001; Stanley J. Osher; H. Vincent Poor (IEEE Internet Things J., 2021)

Modeling COVID-19 with mean field evolutionary dynamics: Social distancing and seasonality. - Hao Gao 008; Wuchen Li; Miao Pan; Zhu Han 001; H. Vincent Poor (J. Commun. Networks, 2021)

Generalized unnormalized optimal transport and its fast algorithms. - Wonjun Lee 004; Rongjie Lai; Wuchen Li; Stanley J. Osher (J. Comput. Phys., 2021)

Controlling Propagation of Epidemics via Mean-Field Control. - Wonjun Lee 004; Siting Liu 003; Hamidou Tembine; Wuchen Li; Stanley J. Osher (SIAM J. Appl. Math., 2021)

Computational Methods for First-Order Nonlocal Mean Field Games with Applications. - Siting Liu 003; Matthew Jacobs; Wuchen Li; Levon Nurbekyan; Stanley J. Osher (SIAM J. Numer. Anal., 2021)

Multilevel Optimal Transport: A Fast Approximation of Wasserstein-1 Distances. - Jialin Liu 003; Wotao Yin; Wuchen Li; Yat Tin Chow (SIAM J. Sci. Comput., 2021)

Mean field information Hessian matrices on graphs. - Wuchen Li; Linyuan Lu (CoRR, 2022)

Controlling conservation laws II: Compressible Navier-Stokes equations. - Wuchen Li; Siting Liu 003; Stanley J. Osher (J. Comput. Phys., 2022)

Computational mean-field information dynamics associated with reaction-diffusion equations. - Wuchen Li; Wonjun Lee 004; Stanley J. Osher (J. Comput. Phys., 2022)

A Mean Field Game Inverse Problem. - Lisang Ding; Wuchen Li; Stanley J. Osher; Wotao Yin (J. Sci. Comput., 2022)

Accelerated Information Gradient Flow. - Yi-Fei Wang; Wuchen Li (J. Sci. Comput., 2022)

Projected Wasserstein Gradient Descent for High-Dimensional Bayesian Inference. - Yifei Wang 005; Peng Chen; Wuchen Li (SIAM/ASA J. Uncertain. Quantification, 2022)

Neural Parametric Fokker-Planck Equation. - Shu Liu; Wuchen Li; Hongyuan Zha; Haomin Zhou 001 (SIAM J. Numer. Anal., 2022)

Opinion Evolution in Social Networks: Connecting Mean Field Games to Generative Adversarial Nets. - Hao Gao 008; Alex Tong Lin; Reginald A. Banez; Wuchen Li; Zhu Han 001; Stanley J. Osher; H. Vincent Poor (IEEE Trans. Netw. Sci. Eng., 2022)

Energy-Efficient Velocity Control for Massive Numbers of UAVs: A Mean Field Game Approach. - Hao Gao 008; Wonjun Lee 004; Yuhan Kang; Wuchen Li; Zhu Han 001; Stanley J. Osher; H. Vincent Poor (IEEE Trans. Veh. Technol., 2022)

A kernel formula for regularized Wasserstein proximal operators. - Wuchen Li; Siting Liu 003; Stanley J. Osher (CoRR, 2023)

High order computation of optimal transport, mean field planning, and mean field games. - Guosheng Fu; Siting Liu 003; Stanley J. Osher; Wuchen Li (CoRR, 2023)

Noise-Free Sampling Algorithms via Regularized Wasserstein Proximals. - Hong Ye Tan; Stanley J. Osher; Wuchen Li (CoRR, 2023)

Scaling Limits of the Wasserstein information matrix on Gaussian Mixture Models. - Wuchen Li; Jiaxi Zhao (CoRR, 2023)

Primal-dual hybrid gradient algorithms for computing time-implicit Hamilton-Jacobi equations. - Tingwei Meng; Wenbo Hao; Siting Liu 003; Stanley J. Osher; Wuchen Li (CoRR, 2023)

Entropy Dissipation for Degenerate Stochastic Differential Equations via Sub-Riemannian Density Manifold. - Qi Feng 005; Wuchen Li (Entropy, 2023)

A primal-dual approach for solving conservation laws with implicit in time approximations. - Siting Liu 003; Stanley J. Osher; Wuchen Li; Chi-Wang Shu (J. Comput. Phys., 2023)

Controlling conservation laws I: Entropy-entropy flux. - Wuchen Li; Siting Liu 003; Stanley J. Osher (J. Comput. Phys., 2023)

A fast proximal gradient method and convergence analysis for dynamic mean field planning. - Jiajia Yu; Rongjie Lai; Wuchen Li; Stanley J. Osher (Math. Comput., 2023)

A Time-Fractional Mean-Field Control Modeling Subdiffusive Advective Transport. - Xiangcheng Zheng; Zhiwei Yang 008; Wuchen Li; Hong Wang 018 (SIAM J. Sci. Comput., 2023)

Computational mean-field games on manifolds. - Jiajia Yu; Rongjie Lai; Wuchen Li; Stanley J. Osher (J. Comput. Phys., 2023)

High order computation of optimal transport, mean field planning, and potential mean field games. - Guosheng Fu; Siting Liu 003; Stanley J. Osher; Wuchen Li (J. Comput. Phys., 2023)

High order spatial discretization for variational time implicit schemes: Wasserstein gradient flows and reaction-diffusion systems. - Guosheng Fu; Stanley J. Osher; Wuchen Li (J. Comput. Phys., 2023)

Numerical analysis of a first-order computational algorithm for reaction-diffusion equations via the primal-dual hybrid gradient method. - Shu Liu; Xinzhe Zuo; Stanley J. Osher; Wuchen Li (CoRR, 2024)

Fisher information dissipation for time inhomogeneous stochastic differential equations. - Qi Feng 005; Xinzhe Zuo; Wuchen Li (CoRR, 2024)

Mean field control of droplet dynamics with high order finite element computations. - Guosheng Fu; Hangjie Ji; Will Pazner; Wuchen Li (CoRR, 2024)

Wasserstein proximal operators describe score-based generative models and resolve memorization. - Benjamin J. Zhang; Siting Liu 003; Wuchen Li; Markos A. Katsoulakis; Stanley J. Osher (CoRR, 2024)

Numerical Analysis on Neural Network Projected Schemes for Approximating One Dimensional Wasserstein Gradient Flows. - Xinzhe Zuo; Jiaxi Zhao; Shu Liu; Stanley J. Osher; Wuchen Li (CoRR, 2024)

A Primal-dual hybrid gradient method for solving optimal control problems and the corresponding Hamilton-Jacobi PDEs. - Tingwei Meng; Siting Liu 003; Wuchen Li; Stanley J. Osher (CoRR, 2024)

Convergence of Noise-Free Sampling Algorithms with Regularized Wasserstein Proximals. - Fuqun Han; Stanley J. Osher; Wuchen Li (CoRR, 2024)

Score-based Neural Ordinary Differential Equations for Computing Mean Field Control Problems. - Mo Zhou; Stanley J. Osher; Wuchen Li (CoRR, 2024)

Gradient-adjusted underdamped Langevin dynamics for sampling. - Xinzhe Zuo; Stanley J. Osher; Wuchen Li (CoRR, 2024)

A Natural Primal-Dual Hybrid Gradient Method for Adversarial Neural Network Training on Solving Partial Differential Equations. - Shu Liu; Stanley J. Osher; Wuchen Li (CoRR, 2024)

Generalized optimal transport and mean field control problems for reaction-diffusion systems with high-order finite element computation. - Guosheng Fu; Stanley J. Osher; Will Pazner; Wuchen Li (J. Comput. Phys., 2024)

Deep JKO: Time-implicit particle methods for general nonlinear gradient flows. - Wonjun Lee 004; Li Wang 101; Wuchen Li (J. Comput. Phys., 2024)

Optimal Neural Network Approximation of Wasserstein Gradient Direction via Convex Optimization. - Yifei Wang 005; Peng Chen; Mert Pilanci; Wuchen Li (SIAM J. Math. Data Sci., 2024)

Exponential Entropy Dissipation for Weakly Self-Consistent Vlasov-Fokker-Planck Equations. - Erhan Bayraktar; Qi Feng 005; Wuchen Li (J. Nonlinear Sci., 2024)

A first-order computational algorithm for reaction-diffusion type equations via primal-dual hybrid gradient method. - Shu Liu; Siting Liu 003; Stanley J. Osher; Wuchen Li (J. Comput. Phys., 2024)

A time-fractional optimal transport: Formulation and algorithm. - Yiqun Li; Hong Wang 018; Wuchen Li (Comput. Math. Appl., 2025)

Efficient computation of mean field control based barycenters from reaction-diffusion systems. - Arjun Vijaywargiya; Guosheng Fu; Stanley J. Osher; Wuchen Li (J. Comput. Phys., 2025)

Tensor Train Based Sampling Algorithms for Approximating Regularized Wasserstein Proximal Operators. - Fuqun Han; Stanley J. Osher; Wuchen Li (SIAM/ASA J. Uncertain. Quantification, 2025)

LLM-DiffAug: Enhancing few-shot object detection via LLM-Guided diffusion augmentation. - Yunqing Jiang; Sunyuan Qiang; Wuchen Li; Yanyan Liang 001 (Knowl. Based Syst., 2025)

Accelerated Stein Variational Gradient Flow. - Viktor Stein; Wuchen Li (CoRR, 2025)

Transport alpha divergences. - Wuchen Li (CoRR, 2025)

Transport f divergences. - Wuchen Li (CoRR, 2025)

Accelerated Markov Chain Monte Carlo Algorithms on Discrete States. - Bohan Zhou; Shu Liu; Xinzhe Zuo; Wuchen Li (CoRR, 2025)

Expansive Natural Neural Gradient Flows for Energy Minimization. - Wolfgang Dahmen; Wuchen Li; Yuankai Teng; Zhu Wang 003 (CoRR, 2025)