Convergence of stochastic structure-preserving schemes for computing effective diffusivity in random flows. - Junlong Lyu; Zhongjian Wang; Jack Xin; Zhiwen Zhang 001 (CoRR, 2019)

Convergence Analysis of Stochastic Structure-Preserving Schemes for Computing Effective Diffusivity in Random Flows. - Junlong Lyu; Zhongjian Wang; Jack Xin; Zhiwen Zhang 001 (SIAM J. Numer. Anal., 2020)

Para-CFlows: $C^k$-universal diffeomorphism approximators as superior neural surrogates. - Junlong Lyu; Zhitang Chen; Chang Feng; Wenjing Cun; Shengyu Zhu 001; Yanhui Geng; Zhijie Xu; Chen Yongwei (NeurIPS, 2022)

Universality of parametric Coupling Flows over parametric diffeomorphisms. - Junlong Lyu; Zhitang Chen; Chang Feng; Wenjing Cun; Shengyu Zhu 001; Yanhui Geng; Zhijie Xu; Yongwei Chen (CoRR, 2022)

A Convergent Interacting Particle Method and Computation of KPP Front Speeds in Chaotic Flows. - Junlong Lyu; Zhongjian Wang; Jack Xin; Zhiwen Zhang 001 (SIAM J. Numer. Anal., 2022)

Efficient Robust Bayesian Optimization for Arbitrary Uncertain inputs. - Lin Yang; Junlong Lyu; Wenlong Lyu; Zhitang Chen (NeurIPS, 2023)

Reweighted Interacting Langevin Diffusions: an Accelerated Sampling Methodfor Optimization. - Junlong Lyu; Zhitang Chen; Wenlong Lyu; Jianye Hao (CoRR, 2023)

Convergence guarantee for consistency models. - Junlong Lyu; Zhitang Chen; Shoubo Feng (CoRR, 2023)

Sampling is as easy as keeping the consistency: convergence guarantee for Consistency Models. - Junlong Lyu; Zhitang Chen; Shoubo Feng (ICML, 2024)