| Mean exit time and escape probability for dynamical systems driven by Lévy noises T Gao, J Duan, X Li, R Song SIAM Journal on Scientific Computing 36 (3), A887-A906, 2014 | 106 | 2014 |
| Fokker–Planck equations for stochastic dynamical systems with symmetric Lévy motions T Gao, J Duan, X Li Applied Mathematics and Computation 278, 1-20, 2016 | 63 | 2016 |
| Neural network stochastic differential equation models with applications to financial data forecasting L Yang, T Gao, Y Lu, J Duan, T Liu Applied Mathematical Modelling 115, 279-299, 2023 | 33 | 2023 |
| Mathematical analysis of an HIV model with impulsive antiretroviral drug doses T Gao, W Wang, X Liu Mathematics and Computers in Simulation 82 (4), 653-665, 2011 | 33 | 2011 |
| Detecting the maximum likelihood transition path from data of stochastic dynamical systems M Dai, T Gao, Y Lu, Y Zheng, J Duan Chaos: An Interdisciplinary Journal of Nonlinear Science 30 (11), 2020 | 31 | 2020 |
| An end-to-end deep learning approach for extracting stochastic dynamical systems with α-stable Lévy noise C Fang, Y Lu, T Gao, J Duan Chaos: An Interdisciplinary Journal of Nonlinear Science 32 (6), 2022 | 21 | 2022 |
| Learning the temporal evolution of multivariate densities via normalizing flows Y Lu, R Maulik, T Gao, F Dietrich, IG Kevrekidis, J Duan Chaos: An Interdisciplinary Journal of Nonlinear Science 32 (3), 2022 | 18 | 2022 |
| Mean exit time and escape probability for a tumor growth system under non-Gaussian noise J Ren, C Li, T Gao, X Kan, J Duan International Journal of Bifurcation and Chaos 22 (04), 1250090, 2012 | 17 | 2012 |
| An optimal control method to compute the most likely transition path for stochastic dynamical systems with jumps W Wei, T Gao, X Chen, J Duan Chaos: An Interdisciplinary Journal of Nonlinear Science 32 (5), 2022 | 15 | 2022 |
| Quantifying model uncertainty in dynamical systems driven by non-Gaussian Lévy stable noise with observations on mean exit time or escape probability T Gao, J Duan Communications in Nonlinear Science and Numerical Simulation 39, 1-6, 2016 | 15 | 2016 |
| Dynamical inference for transitions in stochastic systems with α-stable Lévy noise T Gao, J Duan, X Kan, Z Cheng Journal of Physics A: Mathematical and Theoretical 49 (29), 294002, 2016 | 15 | 2016 |
| Reservoir computing with error correction: Long-term behaviors of stochastic dynamical systems JD C Fang, Y Lu, T Gao Physica D: Nonlinear Phenomena 456 (133919), 2023 | 6 | 2023 |
| Learning effective dynamics from data-driven stochastic systems L Feng, T Gao, M Dai, J Duan Chaos: An Interdisciplinary Journal of Nonlinear Science 33 (4), 2023 | 4 | 2023 |
| Auto-SDE: Learning effective reduced dynamics from data-driven stochastic dynamical systems L Feng, T Gao, M Dai, J Duan arXiv preprint arXiv:2205.04151, 2022 | 4 | 2022 |
| Non-Gaussian dynamics of a tumor growth system with immunization M Hao, T Gao, J Duan, W Xu arXiv preprint arXiv:1207.5890, 2012 | 4 | 2012 |
| Quantifying model uncertainties in the space of probability measures J Duan, T Gao, G He Stochastic Analysis and Applications to Finance: Essays in Honour of Jia-an …, 2012 | 3 | 2012 |
| Fourier neural operator based fluid–structure interaction for predicting the vesicle dynamics W Xiao, T Gao, K Liu, J Duan, M Zhao Physica D: Nonlinear Phenomena 463, 134145, 2024 | 2 | 2024 |
| Deep reinforcement learning in finite-horizon to explore the most probable transition pathway J Guo, T Gao, P Zhang, J Han, J Duan Physica D: Nonlinear Phenomena 458, 133955, 2024 | 2 | 2024 |
| Model-based reinforcement learning with non-Gaussian environment dynamics and its application to portfolio optimization H Huang, T Gao, P Li, J Guo, P Zhang, N Du, J Duan Chaos: An Interdisciplinary Journal of Nonlinear Science 33 (8), 2023 | 2 | 2023 |
| Detecting the most probable high dimensional transition pathway based on optimal control theory J Chen, T Gao, Y Li, J Duan arXiv preprint arXiv:2303.00385, 2023 | 2 | 2023 |
Jinqiao Duan, Chair ProfessorGreat Bay University (near Hong Kong, China)Verified email at gbu.edu.cn
