| On Explicit -Convergence Rate Estimate for Underdamped Langevin Dynamics Y Cao, J Lu, L Wang Archive for Rational Mechanics and Analysis 247 (5), 90, 2023 | 93 | 2023 |
| Complexity of randomized algorithms for underdamped Langevin dynamics Y Cao, J Lu, L Wang arXiv preprint arXiv:2003.09906, 2020 | 39 | 2020 |
| Exponential decay of Rényi divergence under Fokker–Planck equations Y Cao, J Lu, Y Lu Journal of Statistical Physics 176, 1172-1184, 2019 | 22 | 2019 |
| Quantum simulation for time-dependent Hamiltonians--with applications to non-autonomous ordinary and partial differential equations Y Cao, S Jin, N Liu arXiv preprint arXiv:2312.02817, 2023 | 14 | 2023 |
| Exploring the optimal choice for generative processes in diffusion models: Ordinary vs stochastic differential equations Y Cao, J Chen, Y Luo, X Zhou Advances in Neural Information Processing Systems 36, 2024 | 11 | 2024 |
| Structure-preserving numerical schemes for Lindblad equations Y Cao, J Lu arXiv preprint arXiv:2103.01194, 2021 | 11* | 2021 |
| Stochastic dynamical low-rank approximation method Y Cao, J Lu Journal of Computational Physics 372, 564-586, 2018 | 11 | 2018 |
| Lindblad equation and its semiclassical limit of the Anderson-Holstein model Y Cao, J Lu Journal of Mathematical Physics 58 (12), 2017 | 9 | 2017 |
| Tensorization of the strong data processing inequality for quantum chi-square divergences Y Cao, J Lu Quantum 3, 199, 2019 | 5 | 2019 |
| Gradient flow structure and exponential decay of the sandwiched Rényi divergence for primitive Lindblad equations with GNS-detailed balance Y Cao, J Lu, Y Lu Journal of Mathematical Physics 60 (5), 2019 | 4 | 2019 |
| Learning optimal flows for non-equilibrium importance sampling Y Cao, E Vanden-Eijnden Advances in Neural Information Processing Systems 35, 12352-12364, 2022 | 3 | 2022 |
| Explore stochastic instabilities of periodic points by transition path theory Y Cao, L Lin, X Zhou Journal of Nonlinear Science 26, 755-786, 2016 | 2 | 2016 |
| A unifying framework for quantum simulation algorithms for time-dependent Hamiltonian dynamics Y Cao, S Jin, N Liu arXiv preprint arXiv:2411.03180, 2024 | 1 | 2024 |
| Weak Generative Sampler to Efficiently Sample Invariant Distribution of Stochastic Differential Equation Z Cai, Y Cao, Y Huang, X Zhou arXiv preprint arXiv:2405.19256, 2024 | 1 | 2024 |
