| A convergent interacting particle method and computation of KPP front speeds in chaotic flows J Lyu, Z Wang, J Xin, Z Zhang SIAM Journal on Numerical Analysis 60 (3), 1136-1167, 2022 | 9 | 2022 |
| Para-CFlows: -universal diffeomorphism approximators as superior neural surrogates J Lyu, Z Chen, C Feng, W Cun, S Zhu, Y Geng, Z Xu, C Yongwei Advances in Neural Information Processing Systems 35, 28829-28841, 2022 | 7 | 2022 |
| Convergence analysis of stochastic structure-preserving schemes for computing effective diffusivity in random flows J Lyu, Z Wang, J Xin, Z Zhang SIAM Journal on Numerical Analysis 58 (5), 3040-3067, 2020 | 7 | 2020 |
| Universality of parametric coupling flows over parametric diffeomorphisms J Lyu, Z Chen, C Feng, W Cun, S Zhu, Y Geng, Z Xu, Y Chen arXiv preprint arXiv:2202.02906, 2022 | 6 | 2022 |
| Convergence guarantee for consistency models J Lyu, Z Chen, S Feng arXiv preprint arXiv:2308.11449, 2023 | 4 | 2023 |
| Sampling is as easy as keeping the consistency: convergence guarantee for Consistency Models J Lyu, Z Chen, S Feng Forty-first International Conference on Machine Learning, 2024 | 2 | 2024 |
| Efficient robust Bayesian optimization for arbitrary uncertain inputs L Yang, J Lyu, W Lyu, Z Chen Advances in Neural Information Processing Systems 36, 43156-43176, 2023 | 1 | 2023 |
| A multiscale multilevel Monte Carlo method for multiscale elliptic PDEs with random coefficients J Lyu, Z Zhang Commun. Math. Res. 36 (2), 154-192, 2020 | 1 | 2020 |
| Reweighted Interacting Langevin Diffusions: an Accelerated Sampling Methodfor Optimization J Lyu, Z Chen, W Lyu, J Hao arXiv preprint arXiv:2301.12640, 2023 | | 2023 |
