Wuchen Li

4 papers · 2019–2026 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11)

Venues

JMLR (3) ICML (1)

Top co-authors

Stanley Osher (2) Fuqun Han (1) Yonatan Dukler (1) Qi Feng (1) Alex Lin (1) Xinzhe Zuo (1) Guido Montúfar (1) Shu Liu (1)

Research topics

Machine Learning (3) Mathematics & Optimization (3) Optimization & Theory · Machine Learning (3) Deep Learning (2) Learning Types (2) Optimization (2) Bayesian & Probabilistic (1) Mathematics (1) Models (1) Optimization & Theory · Deep Learning (1)

Keywords

langevin dynamics (2) unsupervised learning (1) image retrieval (1) optimal transport (1) convergence analysis (1) natural gradient (1) fisher information (1) probability distribution (1) kullback-leibler divergence (1) generative model (1) physics-informed neural network (1) partial differential equation (1) stochastic differential equation (1) generative adversarial network (1) langevin monte carlo (1) log-concave distribution (1) saddle point problem (1) lyapunov analysis (1) krylov subspace method (1) gradient penalty (1)

Papers

A Natural Primal-Dual Hybrid Gradient Method for Adversarial Neural Network Training on Solving Partial Differential Equation JMLR 2026 Convergence of Noise-Free Sampling Algorithms with Regularized Wasserstein Proximals JMLR 2026 Fisher information dissipation for time-inhomogeneous stochastic differential equations JMLR 2024 Wasserstein of Wasserstein Loss for Learning Generative Models ICML 2019