Wuchen Li - RankMe

126 papers A* 2B 3Journal 112Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Accelerated Regularized Wasserstein Proximal Sampling Algorithms. CoRR Hong Ye Tan, Stanley J. Osher, Wuchen Li
2026	J	`jnl`	Deep Kinetic JKO schemes for Vlasov-Fokker-Planck Equations. CoRR Wonjun Lee, Li Wang, Wuchen Li
2026	J	`jnl`	Numerical analysis on neural network projected schemes for approximating one dimensional Wasserstein gradient flows. J. Comput. Phys. Xinzhe Zuo, Jiaxi Zhao, Shu Liu, Stanley J. Osher, Wuchen Li
2026	J	`jnl`	OV-KFA: Open-vocabulary object detection via key feature alignment. Neurocomputing Yunqing Jiang, Sunyuan Qiang, Wuchen Li, Huijia Zhao, Yanyan Liang
2026	J	`jnl`	SympFormer: Accelerated attention blocks via Inertial Dynamics on Density Manifolds. CoRR Viktor Stein, Wuchen Li, Gabriele Steidl
2025	J	`jnl`	A time-fractional optimal transport: Formulation and algorithm. Comput. Math. Appl. Yiqun Li, Hong Wang, Wuchen Li
2025	J	`jnl`	Accelerated Markov Chain Monte Carlo Algorithms on Discrete States. CoRR Bohan Zhou, Shu Liu, Xinzhe Zuo, Wuchen Li
2025	—	`conf`	Accelerated Stein Variational Gradient Flow. GSI (2) Viktor Stein, Wuchen Li
2025	J	`jnl`	Accelerated Stein Variational Gradient Flow. CoRR Viktor Stein, Wuchen Li
2025	J	`jnl`	Efficient computation of mean field control based barycenters from reaction-diffusion systems. J. Comput. Phys. Arjun Vijaywargiya, Guosheng Fu, Stanley J. Osher, Wuchen Li
2025	J	`jnl`	Expansive Natural Neural Gradient Flows for Energy Minimization. CoRR Wolfgang Dahmen, Wuchen Li, Yuankai Teng, Zhu Wang
2025	J	`jnl`	Gradient-Adjusted Underdamped Langevin Dynamics for Sampling. SIAM/ASA J. Uncertain. Quantification Xinzhe Zuo, Stanley J. Osher, Wuchen Li
2025	J	`jnl`	LLM-DiffAug: Enhancing few-shot object detection via LLM-Guided diffusion augmentation. Knowl. Based Syst. Yunqing Jiang, Sunyuan Qiang, Wuchen Li, Yanyan Liang
2025	J	`jnl`	Preconditioned Regularized Wasserstein Proximal Sampling. CoRR Hong Ye Tan, Stanley J. Osher, Wuchen Li
2025	J	`jnl`	Score-based neural ordinary differential equations for computing mean field control problems. J. Comput. Phys. Mo Zhou, Stanley J. Osher, Wuchen Li
2025	J	`jnl`	Sparse Transformer Architectures via Regularized Wasserstein Proximal Operator with L CoRR Fuqun Han, Stanley J. Osher, Wuchen Li
2025	J	`jnl`	Tensor Train Based Sampling Algorithms for Approximating Regularized Wasserstein Proximal Operators. SIAM/ASA J. Uncertain. Quantification Fuqun Han, Stanley J. Osher, Wuchen Li
2025	J	`jnl`	The Multiscale Nonlocal-in-Time Schrödinger Bridge Problem. Multiscale Model. Simul. Yiqun Li, Wuchen Li, Hong Wang
2025	J	`jnl`	Transport alpha divergences. CoRR Wuchen Li
2025	J	`jnl`	Transport f divergences. CoRR Wuchen Li
2024	J	`jnl`	A Natural Primal-Dual Hybrid Gradient Method for Adversarial Neural Network Training on Solving Partial Differential Equations. CoRR Shu Liu, Stanley J. Osher, Wuchen Li
2024	J	`jnl`	A Primal-dual hybrid gradient method for solving optimal control problems and the corresponding Hamilton-Jacobi PDEs. CoRR Tingwei Meng, Siting Liu, Wuchen Li, Stanley J. Osher
2024	J	`jnl`	A first-order computational algorithm for reaction-diffusion type equations via primal-dual hybrid gradient method. J. Comput. Phys. Shu Liu, Siting Liu, Stanley J. Osher, Wuchen Li
2024	J	`jnl`	Convergence of Noise-Free Sampling Algorithms with Regularized Wasserstein Proximals. CoRR Fuqun Han, Stanley J. Osher, Wuchen Li
2024	J	`jnl`	Deep JKO: Time-implicit particle methods for general nonlinear gradient flows. J. Comput. Phys. Wonjun Lee, Li Wang, Wuchen Li
2024	J	`jnl`	Exponential Entropy Dissipation for Weakly Self-Consistent Vlasov-Fokker-Planck Equations. J. Nonlinear Sci. Erhan Bayraktar, Qi Feng, Wuchen Li
2024	J	`jnl`	Fisher information dissipation for time inhomogeneous stochastic differential equations. CoRR Qi Feng, Xinzhe Zuo, Wuchen Li
2024	J	`jnl`	Fisher information dissipation for time-inhomogeneous stochastic differential equations. J. Mach. Learn. Res. Qi Feng, Xinzhe Zuo, Wuchen Li
2024	J	`jnl`	Generalized optimal transport and mean field control problems for reaction-diffusion systems with high-order finite element computation. J. Comput. Phys. Guosheng Fu, Stanley J. Osher, Will Pazner, Wuchen Li
2024	J	`jnl`	Gradient-adjusted underdamped Langevin dynamics for sampling. CoRR Xinzhe Zuo, Stanley J. Osher, Wuchen Li
2024	J	`jnl`	Mean field control of droplet dynamics with high order finite element computations. CoRR Guosheng Fu, Hangjie Ji, Will Pazner, Wuchen Li
2024	J	`jnl`	Numerical Analysis on Neural Network Projected Schemes for Approximating One Dimensional Wasserstein Gradient Flows. CoRR Xinzhe Zuo, Jiaxi Zhao, Shu Liu, Stanley J. Osher, Wuchen Li
2024	J	`jnl`	Numerical analysis of a first-order computational algorithm for reaction-diffusion equations via the primal-dual hybrid gradient method. CoRR Shu Liu, Xinzhe Zuo, Stanley J. Osher, Wuchen Li
2024	J	`jnl`	Optimal Neural Network Approximation of Wasserstein Gradient Direction via Convex Optimization. SIAM J. Math. Data Sci. Yifei Wang, Peng Chen, Mert Pilanci, Wuchen Li
2024	J	`jnl`	Score-based Neural Ordinary Differential Equations for Computing Mean Field Control Problems. CoRR Mo Zhou, Stanley J. Osher, Wuchen Li
2024	J	`jnl`	Tensor train based sampling algorithms for approximating regularized Wasserstein proximal operators. CoRR Fuqun Han, Stanley J. Osher, Wuchen Li
2024	J	`jnl`	Wasserstein proximal operators describe score-based generative models and resolve memorization. CoRR Benjamin J. Zhang, Siting Liu, Wuchen Li, Markos A. Katsoulakis, Stanley J. Osher
2023	J	`jnl`	A Time-Fractional Mean-Field Control Modeling Subdiffusive Advective Transport. SIAM J. Sci. Comput. Xiangcheng Zheng, Zhiwei Yang, Wuchen Li, Hong Wang
2023	J	`jnl`	A fast proximal gradient method and convergence analysis for dynamic mean field planning. Math. Comput. Jiajia Yu, Rongjie Lai, Wuchen Li, Stanley J. Osher
2023	J	`jnl`	A first-order computational algorithm for reaction-diffusion type equations via primal-dual hybrid gradient method. CoRR Shu Liu, Siting Liu, Stanley J. Osher, Wuchen Li
2023	J	`jnl`	A kernel formula for regularized Wasserstein proximal operators. CoRR Wuchen Li, Siting Liu, Stanley J. Osher
2023	J	`jnl`	A primal-dual approach for solving conservation laws with implicit in time approximations. J. Comput. Phys. Siting Liu, Stanley J. Osher, Wuchen Li, Chi-Wang Shu
2023	J	`jnl`	Computational mean-field games on manifolds. J. Comput. Phys. Jiajia Yu, Rongjie Lai, Wuchen Li, Stanley J. Osher
2023	J	`jnl`	Controlling conservation laws I: Entropy-entropy flux. J. Comput. Phys. Wuchen Li, Siting Liu, Stanley J. Osher
2023	J	`jnl`	Deep JKO: time-implicit particle methods for general nonlinear gradient flows. CoRR Wonjun Lee, Li Wang, Wuchen Li
2023	J	`jnl`	Entropy Dissipation for Degenerate Stochastic Differential Equations via Sub-Riemannian Density Manifold. Entropy Qi Feng, Wuchen Li
2023	J	`jnl`	Generalized optimal transport and mean field control problems for reaction-diffusion systems with high-order finite element computation. CoRR Guosheng Fu, Stanley J. Osher, Will Pazner, Wuchen Li
2023	J	`jnl`	High order computation of optimal transport, mean field planning, and mean field games. CoRR Guosheng Fu, Siting Liu, Stanley J. Osher, Wuchen Li
2023	J	`jnl`	High order computation of optimal transport, mean field planning, and potential mean field games. J. Comput. Phys. Guosheng Fu, Siting Liu, Stanley J. Osher, Wuchen Li
2023	J	`jnl`	High order spatial discretization for variational time implicit schemes: Wasserstein gradient flows and reaction-diffusion systems. CoRR Guosheng Fu, Stanley J. Osher, Wuchen Li
2023	J	`jnl`	High order spatial discretization for variational time implicit schemes: Wasserstein gradient flows and reaction-diffusion systems. J. Comput. Phys. Guosheng Fu, Stanley J. Osher, Wuchen Li
2023	J	`jnl`	Noise-Free Sampling Algorithms via Regularized Wasserstein Proximals. CoRR Hong Ye Tan, Stanley J. Osher, Wuchen Li
2023	J	`jnl`	Primal-dual hybrid gradient algorithms for computing time-implicit Hamilton-Jacobi equations. CoRR Tingwei Meng, Wenbo Hao, Siting Liu, Stanley J. Osher, Wuchen Li
2023	J	`jnl`	Scaling Limits of the Wasserstein information matrix on Gaussian Mixture Models. CoRR Wuchen Li, Jiaxi Zhao
2022	J	`jnl`	A Mean Field Game Inverse Problem. J. Sci. Comput. Lisang Ding, Wuchen Li, Stanley J. Osher, Wotao Yin
2022	J	`jnl`	A primal-dual approach for solving conservation laws with implicit in time approximations. CoRR Siting Liu, Stanley J. Osher, Wuchen Li, Chi-Wang Shu
2022	J	`jnl`	Accelerated Information Gradient Flow. J. Sci. Comput. Yi-Fei Wang, Wuchen Li
2022	J	`jnl`	Computational mean-field information dynamics associated with reaction-diffusion equations. J. Comput. Phys. Wuchen Li, Wonjun Lee, Stanley J. Osher
2022	J	`jnl`	Controlling conservation laws II: Compressible Navier-Stokes equations. J. Comput. Phys. Wuchen Li, Siting Liu, Stanley J. Osher
2022	J	`jnl`	Controlling conservation laws II: compressible Navier-Stokes equations. CoRR Wuchen Li, Siting Liu, Stanley J. Osher
2022	J	`jnl`	Energy-Efficient Velocity Control for Massive Numbers of UAVs: A Mean Field Game Approach. IEEE Trans. Veh. Technol. Hao Gao, Wonjun Lee, Yuhan Kang, Wuchen Li, Zhu Han, Stanley J. Osher, H. Vincent Poor
2022	J	`jnl`	Mean field information Hessian matrices on graphs. CoRR Wuchen Li, Linyuan Lu
2022	J	`jnl`	Neural Parametric Fokker-Planck Equation. SIAM J. Numer. Anal. Shu Liu, Wuchen Li, Hongyuan Zha, Haomin Zhou
2022	J	`jnl`	Opinion Evolution in Social Networks: Connecting Mean Field Games to Generative Adversarial Nets. IEEE Trans. Netw. Sci. Eng. Hao Gao, Alex Tong Lin, Reginald A. Banez, Wuchen Li, Zhu Han, Stanley J. Osher, H. Vincent Poor
2022	J	`jnl`	Optimal Neural Network Approximation of Wasserstein Gradient Direction via Convex Optimization. CoRR Yifei Wang, Peng Chen, Mert Pilanci, Wuchen Li
2022	J	`jnl`	Projected Wasserstein Gradient Descent for High-Dimensional Bayesian Inference. SIAM/ASA J. Uncertain. Quantification Yifei Wang, Peng Chen, Wuchen Li
2021	J	`jnl`	A Fast Proximal Gradient Method and Convergence Analysis for Dynamic Mean Field Planning. CoRR Jiajia Yu, Rongjie Lai, Wuchen Li, Stanley J. Osher
2021	—	`conf`	Belief and Opinion Evolution in Social Networks: A High-Dimensional Mean Field Game Approach. ICC Hao Gao, Alex Tong Lin, Reginald A. Banez, Wuchen Li, Zhu Han, Stanley J. Osher, H. Vincent Poor
2021	J	`jnl`	Computational Methods for First-Order Nonlocal Mean Field Games with Applications. SIAM J. Numer. Anal. Siting Liu, Matthew Jacobs, Wuchen Li, Levon Nurbekyan, Stanley J. Osher
2021	J	`jnl`	Controlling Propagation of Epidemics via Mean-Field Control. SIAM J. Appl. Math. Wonjun Lee, Siting Liu, Hamidou Tembine, Wuchen Li, Stanley J. Osher
2021	J	`jnl`	Controlling conservation laws I: entropy-entropy flux. CoRR Wuchen Li, Siting Liu, Stanley J. Osher
2021	J	`jnl`	Generalized unnormalized optimal transport and its fast algorithms. J. Comput. Phys. Wonjun Lee, Rongjie Lai, Wuchen Li, Stanley J. Osher
2021	J	`jnl`	Joint Sensing Task Assignment and Collision-Free Trajectory Optimization for Mobile Vehicle Networks Using Mean-Field Games. IEEE Internet Things J. Yuhan Kang, Siting Liu, Hongliang Zhang, Wuchen Li, Zhu Han, Stanley J. Osher, H. Vincent Poor
2021	J	`jnl`	Modeling COVID-19 with mean field evolutionary dynamics: Social distancing and seasonality. J. Commun. Networks Hao Gao, Wuchen Li, Miao Pan, Zhu Han, H. Vincent Poor
2021	J	`jnl`	Multilevel Optimal Transport: A Fast Approximation of Wasserstein-1 Distances. SIAM J. Sci. Comput. Jialin Liu, Wotao Yin, Wuchen Li, Yat Tin Chow
2021	J	`jnl`	Projected Wasserstein gradient descent for high-dimensional Bayesian inference. CoRR Yifei Wang, Peng Chen, Wuchen Li
2021	J	`jnl`	Tracial smooth functions of non-commuting variables and the free Wasserstein manifold. CoRR David Jekel, Wuchen Li, Dimitri Shlyakhtenko
2021	—	`conf`	Transport Information Hessian Distances. GSI Wuchen Li
2021	J	`jnl`	Transport information Bregman divergences. CoRR Wuchen Li
2021	J	`jnl`	Transport information Hessian distances. CoRR Wuchen Li
2021	—	`conf`	Wasserstein Proximal of GANs. GSI Alex Tong Lin, Wuchen Li, Stanley J. Osher, Guido Montúfar
2021	J	`jnl`	Wasserstein Proximal of GANs. CoRR Alex Tong Lin, Wuchen Li, Stanley J. Osher, Guido Montúfar
2020	J	`jnl`	A mean field game inverse problem. CoRR Lisang Ding, Wuchen Li, Stanley J. Osher, Wotao Yin
2020	J	`jnl`	APAC-Net: Alternating the Population and Agent Control via Two Neural Networks to Solve High-Dimensional Stochastic Mean Field Games. CoRR Alex Tong Lin, Samy Wu Fung, Wuchen Li, Levon Nurbekyan, Stanley J. Osher
2020	—	`conf`	Analyzing Social Distancing and Seasonality of COVID-19 with Mean Field Evolutionary Dynamics. GLOBECOM (Workshops) Hao Gao, Wuchen Li, Miao Pan, Zhu Han, H. Vincent Poor
2020	B	`conf`	Energy-efficient Velocity Control for Massive Numbers of Rotary-Wing UAVs: A Mean Field Game Approach. GLOBECOM Hao Gao, Wonjun Lee, Wuchen Li, Zhu Han, Stanley J. Osher, H. Vincent Poor
2020	J	`jnl`	Equilibrium Selection via Optimal Transport. SIAM J. Appl. Math. Shui-Nee Chow, Wuchen Li, Jun Lu, Haomin Zhou
2020	J	`jnl`	Fisher information regularization schemes for Wasserstein gradient flows. J. Comput. Phys. Wuchen Li, Jianfeng Lu, Li Wang
2020	J	`jnl`	Generalized Unnormalized Optimal Transport and its fast algorithms. CoRR Wonjun Lee, Rongjie Lai, Wuchen Li, Stanley J. Osher
2020	J	`jnl`	Hessian metric via transport information geometry. CoRR Wuchen Li
2020	J	`jnl`	Information Newton's flow: second-order optimization method in probability space. CoRR Yifei Wang, Wuchen Li
2020	J	`jnl`	Interacting Langevin Diffusions: Gradient Structure and Ensemble Kalman Sampler. SIAM J. Appl. Dyn. Syst. Alfredo Garbuno-Inigo, Franca Hoffmann, Wuchen Li, Andrew M. Stuart
2020	B	`conf`	Joint Task Assignment and Trajectory optimization for a Mobile Robot Swarm by Mean-Field Game. GLOBECOM Yuhan Kang, Siting Liu, Wonjun Lee, Hongliang Zhang, Wuchen Li, Zhu Han
2020	A*	`conf`	Kernelized Wasserstein Natural Gradient. ICLR Michael Arbel, Arthur Gretton, Wuchen Li, Guido Montúfar
2020	J	`jnl`	Mean Field Evolutionary Dynamics in Dense-User Multi-Access Edge Computing Systems. IEEE Trans. Wirel. Commun. Hao Gao, Wuchen Li, Reginald A. Banez, Zhu Han, H. Vincent Poor
2020	J	`jnl`	Neural Parametric Fokker-Planck Equations. CoRR Shu Liu, Wuchen Li, Hongyuan Zha, Haomin Zhou
2020	J	`jnl`	Quantum statistical learning via Quantum Wasserstein natural gradient. CoRR Simon Becker, Wuchen Li
2019	J	`jnl`	A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems. CoRR Lars Ruthotto, Stanley J. Osher, Wuchen Li, Levon Nurbekyan, Samy Wu Fung
2019	J	`jnl`	Accelerated Information Gradient flow. CoRR Yifei Wang, Wuchen Li
2019	—	`conf`	Affine Natural Proximal Learning. GSI Wuchen Li, Alex Tong Lin, Guido Montúfar
2019	J	`jnl`	Algorithm for Hamilton-Jacobi Equations in Density Space Via a Generalized Hopf Formula. J. Sci. Comput. Yat Tin Chow, Wuchen Li, Stanley J. Osher, Wotao Yin
2019	J	`jnl`	Diffusion Hypercontractivity via Generalized Density Manifold. CoRR Wuchen Li
2019	J	`jnl`	Fisher information regularization schemes for Wasserstein gradient flows. CoRR Wuchen Li, Jianfeng Lu, Li Wang
2019	J	`jnl`	Hessian transport gradient flows. CoRR Wuchen Li, Lexing Ying
2019	—	`conf`	Hopf-Cole Transformation and Schrödinger Problems. GSI Flavien Léger, Wuchen Li
2019	J	`jnl`	Kernelized Wasserstein Natural Gradient. CoRR Michael Arbel, Arthur Gretton, Wuchen Li, Guido Montúfar
2019	B	`conf`	Mean Field Evolutionary Dynamics in Ultra Dense Mobile Edge Computing Systems. GLOBECOM Hao Gao, Wuchen Li, Reginald A. Banez, Zhu Han, H. Vincent Poor
2019	—	`conf`	Parametric Fokker-Planck Equation. GSI Wuchen Li, Shu Liu, Hongyuan Zha, Haomin Zhou
2019	J	`jnl`	Population Games and Discrete Optimal Transport. J. Nonlinear Sci. Shui-Nee Chow, Wuchen Li, Jun Lu, Haomin Zhou
2019	J	`jnl`	Solving Large-Scale Optimization Problems with a Convergence Rate Independent of Grid Size. SIAM J. Numer. Anal. Matt Jacobs, Flavien Léger, Wuchen Li, Stanley J. Osher
2019	J	`jnl`	Unnormalized optimal transport. J. Comput. Phys. Wilfrid Gangbo, Wuchen Li, Stanley J. Osher, Michael A. Puthawala
2019	J	`jnl`	Wasserstein Diffusion Tikhonov Regularization. CoRR Alex Tong Lin, Yonatan Dukler, Wuchen Li, Guido Montúfar
2019	J	`jnl`	Wasserstein information matrix. CoRR Wuchen Li, Jiaxi Zhao
2019	A*	`conf`	Wasserstein of Wasserstein Loss for Learning Generative Models. ICML Yonatan Dukler, Wuchen Li, Alex Tong Lin, Guido Montúfar
2018	J	`jnl`	A Parallel Method for Earth Mover's Distance. J. Sci. Comput. Wuchen Li, Ernest K. Ryu, Stanley J. Osher, Wotao Yin, Wilfrid Gangbo
2018	J	`jnl`	Computations of Optimal Transport Distance with Fisher Information Regularization. J. Sci. Comput. Wuchen Li, Penghang Yin, Stanley J. Osher
2018	J	`jnl`	Natural gradient in Wasserstein statistical manifold. CoRR Yifan Chen, Wuchen Li
2018	J	`jnl`	Natural gradient via optimal transport I. CoRR Wuchen Li, Guido Montúfar
2018	J	`jnl`	Ricci curvature for parametric statistics via optimal transport. CoRR Wuchen Li, Guido Montúfar
2018	J	`jnl`	Transport information geometry I: Riemannian calculus on probability simplex. CoRR Wuchen Li
2018	J	`jnl`	Unbalanced and Partial L J. Sci. Comput. Ernest K. Ryu, Wuchen Li, Penghang Yin, Stanley J. Osher
2018	J	`jnl`	Vector and Matrix Optimal Mass Transport: Theory, Algorithm, and Applications. SIAM J. Sci. Comput. Ernest K. Ryu, Yongxin Chen, Wuchen Li, Stanley J. Osher
2017	J	`jnl`	Method of evolving junctions: A new approach to optimal control with constraints. Autom. Wuchen Li, Jun Lu, Haomin Zhou, Shui-Nee Chow
2017	J	`jnl`	Method of evolving junctions: A new approach to optimal path-planning in 2D environments with moving obstacles. Int. J. Robotics Res. Wuchen Li, Shui-Nee Chow, Magnus Egerstedt, Jun Lu, Haomin Zhou
2017	J	`jnl`	Vector and Matrix Optimal Mass Transport: Theory, Algorithm, and Applications. CoRR Ernest K. Ryu, Yongxin Chen, Wuchen Li, Stanley J. Osher
2013	—	`conf`	Research on a Super-Sparse Data Generation Model for Temperature Data Map. IScIDE Dongmei Fu, Wuchen Li, Xingen Li, Xiaoming Wang