Scaling law of transient lifetime of chimera states under dimension-augmenting perturbations. - Ling-Wei Kong; Ying-Cheng Lai (CoRR, 2020)

Machine learning prediction of critical transition and system collapse. - Ling-Wei Kong; Huawei Fan; Celso Grebogi; Ying-Cheng Lai (CoRR, 2020)

Digital twins of nonlinear dynamical systems. - Ling-Wei Kong; Yang Weng; Bryan Glaz; Mulugeta A. Haile; Ying-Cheng Lai (CoRR, 2022)

Emergence of a stochastic resonance in machine learning. - Zheng-Meng Zhai; Ling-Wei Kong; Ying-Cheng Lai (CoRR, 2022)

Model-free tracking control of complex dynamical trajectories with machine learning. - Zheng-Meng Zhai; Mohammadamin Moradi; Ling-Wei Kong; Bryan Glaz; Mulugeta A. Haile; Ying-Cheng Lai (CoRR, 2023)

Machine-learning prediction of tipping and collapse of the Atlantic Meridional Overturning Circulation. - Shirin Panahi; Ling-Wei Kong; Mohammadamin Moradi; Zheng-Meng Zhai; Bryan Glaz; Mulugeta A. Haile; Ying-Cheng Lai (CoRR, 2024)

Unsupervised learning for anticipating critical transitions. - Shirin Panahi; Ling-Wei Kong; Bryan Glaz; Mulugeta A. Haile; Ying-Cheng Lai (CoRR, 2025)