Models of Continuous-Time Networks with Tie Decay, Diffusion, and Convection. - Xinzhe Zuo; Mason A. Porter (CoRR, 2019)

Understanding Train-Validation Split in Meta-Learning with Neural Networks. - Xinzhe Zuo; Zixiang Chen; Huaxiu Yao; Yuan Cao 006; Quanquan Gu (ICLR, 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)

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)

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

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