• Y. Meng, R.Zhou (equal contribution), A.Mukherjee, M.Fitzsimmons, C.Song, and J.Liu, "Physics-Informed Neural Policy Iteration: Algorithms, Convergence, and Verification", International Conference on Machine Learning (ICML) 2024, under review.

  • J. Liu, Y. Meng, and R. Zhou, "LyZNet with Control: Physics-Informed Neural Network Control of Nonlinear Systems with Formal Guarantees", The 8th IFAC Conference on Analysis and Design of Hybrid Systems (ADHS) 2024, under review.

  • J. Liu, Y. Meng, M. Fitzsimmons, and R. Zhou, "Physics-Informed Neural Network Lyapunov Functions: PDE Characterization, Learning, and Verification", Automatica, under review. 

  • Y. Meng, R. Zhou, and J. Liu, "Learning Regions of Attraction in Unknown Dynamical Systems via Zubov-Koopman Lifting: Regularities and Convergence," IEEE Transaction on Automatic Control, under review.

  • Y. Meng, N.S. Namachchivaya, and N. Perkowski, "Almost Sure Asymptotic Stability of Parabolic SPDEs with Small Multiplicative Noise: With Application to the Perturbed Moore-Greitzer Model," Dynamical Systems, under review.

  • C. Wang, Y. Meng (equal contribution), Y. Li, S.L. Smith, and J. Liu, "Learning Control Barrier Functions with High Relative Degree for Safety-Critical Control," European Journal of Control, under review.

Journal Articles
Refereed Conference Articles
Other Research Articles