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Zheng-Meng Zhai

Showing results (1-10 of 8) with videos related to

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Nature Communications|August 28, 2025
Bridging known and unknown dynamics by transformer-based machine-learning inference from sparse observationsZheng-Meng Zhai, Benjamin D Stern, Ying-Cheng Lai
Chaos (Woodbury, N.Y.)|December 29, 2025
Neuromorphic reservoir computingShirin Panahi, Zheng-Meng Zhai, Mulugeta Haile, et al.
Chaos (Woodbury, N.Y.)|December 3, 2024
Adaptive network approach to exploration-exploitation trade-off in reinforcement learningMohammadamin Moradi, Zheng-Meng Zhai, Shirin Panahi, et al.
Chaos (Woodbury, N.Y.)|April 30, 2022
Metamorphoses and explosively remote synchronization in dynamical networksYong-Shang Long, Zheng-Meng Zhai, Ming Tang, et al.
Proceedings of the National Academy of Sciences of the United States of America|December 17, 2025
Learning to learn ecosystems from limited dataZheng-Meng Zhai, Bryan Glaz, Mulugeta Haile, et al.
Chaos (Woodbury, N.Y.)|October 1, 2022
Structural position vectors and symmetries in complex networksYong-Shang Long, Zheng-Meng Zhai, Ming Tang, et al.
Chaos (Woodbury, N.Y.)|April 2, 2026
Optimizing disorder with machine learning to harness phase synchronizationJun-Yin Huang, Zheng-Meng Zhai, Li-Li Ye, et al.
Nature Communications|September 14, 2023
Model-free tracking control of complex dynamical trajectories with machine learningZheng-Meng Zhai, Mohammadamin Moradi, Ling-Wei Kong, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Nature Communications|August 28, 2025
Bridging known and unknown dynamics by transformer-based machine-learning inference from sparse observationsZheng-Meng Zhai, Benjamin D Stern, Ying-Cheng Lai
Chaos (Woodbury, N.Y.)|December 29, 2025
Neuromorphic reservoir computingShirin Panahi, Zheng-Meng Zhai, Mulugeta Haile, et al.
Chaos (Woodbury, N.Y.)|December 3, 2024
Adaptive network approach to exploration-exploitation trade-off in reinforcement learningMohammadamin Moradi, Zheng-Meng Zhai, Shirin Panahi, et al.
Chaos (Woodbury, N.Y.)|April 30, 2022
Metamorphoses and explosively remote synchronization in dynamical networksYong-Shang Long, Zheng-Meng Zhai, Ming Tang, et al.
Proceedings of the National Academy of Sciences of the United States of America|December 17, 2025
Learning to learn ecosystems from limited dataZheng-Meng Zhai, Bryan Glaz, Mulugeta Haile, et al.
Chaos (Woodbury, N.Y.)|October 1, 2022
Structural position vectors and symmetries in complex networksYong-Shang Long, Zheng-Meng Zhai, Ming Tang, et al.
Chaos (Woodbury, N.Y.)|April 2, 2026
Optimizing disorder with machine learning to harness phase synchronizationJun-Yin Huang, Zheng-Meng Zhai, Li-Li Ye, et al.
Nature Communications|September 14, 2023
Model-free tracking control of complex dynamical trajectories with machine learningZheng-Meng Zhai, Mohammadamin Moradi, Ling-Wei Kong, et al.
Pageof 1