| Model-free tracking control of complex dynamical trajectories with machine learning ZM Zhai, M Moradi, LW Kong, B Glaz, M Haile, YC Lai Nature Communications 14 (1), 5698, 2023 | 34 | 2023 |
| Quantitative assessment of the role of undocumented infection in the 2019 novel coronavirus (COVID-19) pandemic YS Long, ZM Zhai, LL Han, J Kang, YL Li, ZH Lin, L Zeng, DY Wu, ... arXiv preprint arXiv:2003.12028, 2020 | 32 | 2020 |
| Emergence of a resonance in machine learning ZM Zhai, LW Kong, YC Lai Physical Review Research 5 (3), 033127, 2023 | 31 | 2023 |
| Detecting Weak Physical Signal from Noise: A Machine-Learning Approach with Applications to Magnetic-Anomaly-Guided Navigation ZM Zhai, M Moradi, LW Kong, YC Lai Physical Review Applied 19 (3), 034030, 2023 | 18 | 2023 |
| Optimal inference of the start of COVID-19 ZM Zhai, YS Long, M Tang, Z Liu, YC Lai Physical Review Research 3 (1), 013155, 2021 | 18 | 2021 |
| Machine-learning parameter tracking with partial state observation ZM Zhai, M Moradi, B Glaz, M Haile, YC Lai Physical Review Research 6 (1), 013196, 2024 | 7 | 2024 |
| Heterogeneous reinforcement learning for defending power grids against attacks M Moradi, S Panahi, ZM Zhai, Y Weng, J Dirkman, YC Lai APL Machine Learning 2 (2), 2024 | 6 | 2024 |
| Random forests for detecting weak signals and extracting physical information: a case study of magnetic navigation M Moradi, ZM Zhai, A Nielsen, YC Lai APL Machine Learning 2 (1), 2024 | 6 | 2024 |
| Metamorphoses and explosively remote synchronization in dynamical networks YS Long, ZM Zhai, M Tang, YC Lai Chaos: An Interdisciplinary Journal of Nonlinear Science 32 (4), 2022 | 6 | 2022 |
| Structural position vectors and symmetries in complex networks YS Long, ZM Zhai, M Tang, Y Liu, YC Lai Chaos: An Interdisciplinary Journal of Nonlinear Science 32 (9), 2022 | 3 | 2022 |
| Machine learning prediction of tipping in complex dynamical systems S Panahi, LW Kong, M Moradi, ZM Zhai, B Glaz, M Haile, YC Lai Physical Review Research 6 (4), 043194, 2024 | 2* | 2024 |
| Learning to learn ecosystems from limited data--a meta-learning approach ZM Zhai, B Glaz, M Haile, YC Lai arXiv preprint arXiv:2410.07368, 2024 | 2 | 2024 |
| State-by-State prediction of likely COVID-19 scenarios in the United States and assessment of the role of testing and control measures ZM Zhai, YS Long, J Kang, YL Li, L Zeng, LL Han, ZH Lin, YQ Zeng, ... medRxiv, 2020.04. 24.20078774, 2020 | 2 | 2020 |
| Machine-learning nowcasting of the Atlantic Meridional Overturning Circulation ZM Zhai, M Moradi, S Panahi, ZH Wang, YC Lai APL Machine Learning 2 (3), 2024 | 1 | 2024 |
| Bridging Known and Unknown Dynamics: Machine Learning Inference From Sparse Observations YC Lai, ZM Zhai, JY Huang, B Stern | | 2025 |
| Detecting Attacks and Estimating States of Power Grids from Partial Observations with Machine Learning ZM Zhai, M Moradi, YC Lai PRX Energy 4 (1), 013003, 2025 | | 2025 |
| Adaptive network approach to exploration–exploitation trade-off in reinforcement learning M Moradi, ZM Zhai, S Panahi, YC Lai Chaos: An Interdisciplinary Journal of Nonlinear Science 34 (12), 2024 | | 2024 |
| Reconstructing dynamics from sparse observations with no training on target system ZM Zhai, JY Huang, BD Stern, YC Lai arXiv preprint arXiv:2410.21222, 2024 | | 2024 |
Ying-Cheng LaiArizona State University確認したメール アドレス: asu.edu