All Stories

  1. Learning to learn ecosystems from limited data

    Article • Proceedings of the National Academy of Sciences, December 2025, Proceedings of the National Academy of Sciences

    Ying-Cheng Lai

  2. Global phase-space approach to rate-induced tipping: A brief review

    Article • Chaos An Interdisciplinary Journal of Nonlinear Science, April 2025, American Institute of Physics

    Ying-Cheng Lai

  3. Adaptive network approach to exploration–exploitation trade-off in reinforcement learning

    Article • Chaos An Interdisciplinary Journal of Nonlinear Science, December 2024, American Institute of Physics

    Ying-Cheng Lai

  4. Adaptable reservoir computing: A paradigm for model-free data-driven prediction of critical transitions in nonlinear dynamical systems

    Article • Chaos An Interdisciplinary Journal of Nonlinear Science, May 2024, American Institute of Physics

    Ying-Cheng Lai

  5. Optical properties of two-dimensional Dirac–Weyl materials with a flatband

    Article • Applied Physics Letters, February 2024, American Institute of Physics

    Ying-Cheng Lai

  6. Rate-induced tipping in complex high-dimensional ecological networks

    Article • Proceedings of the National Academy of Sciences, December 2023, Proceedings of the National Academy of Sciences

    Ying-Cheng Lai

  7. Short-lived chimera states

    Article • Chaos An Interdisciplinary Journal of Nonlinear Science, June 2023, American Institute of Physics

    Ying-Cheng Lai

  8. Reservoir computing as digital twins for nonlinear dynamical systems

    Article • Chaos An Interdisciplinary Journal of Nonlinear Science, March 2023, American Institute of Physics

    Ying-Cheng Lai

  9. Finding nonlinear system equations and complex network structures from data: A sparse optimization approach

    Article • Chaos An Interdisciplinary Journal of Nonlinear Science, August 2021, American Institute of Physics

    Ying-Cheng Lai

  10. Predicting phase and sensing phase coherence in chaotic systems with machine learning

    Article • Chaos An Interdisciplinary Journal of Nonlinear Science, August 2020, American Institute of Physics

    Ying-Cheng Lai

  11. Quantitative assessment of cerebral connectivity deficiency and cognitive impairment in children with prenatal alcohol exposure

    Article • Chaos An Interdisciplinary Journal of Nonlinear Science, April 2019, American Institute of Physics

    Dr Alexandra Pokhilko, Ying-Cheng Lai

  12. A model for meme popularity growth in social networking systems based on biological principle and human interest dynamics

    Article • Chaos An Interdisciplinary Journal of Nonlinear Science, February 2019, American Institute of Physics

    Ying-Cheng Lai

  13. Optimization and resilience of complex supply-demand networks

    Article • New Journal of Physics, June 2015, Institute of Physics Publishing

    Ying-Cheng Lai