Zhen Zhang - RankMe

17 papers Journal 17

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Time-Dependent Symplectic Network for Nonconvex Path Planning Problems with Linear and Nonlinear Dynamics. SIAM J. Sci. Comput. Zhen Zhang, Chenye Wang, Shanqing Liu, Jérôme Darbon, George Em Karniadakis
2025	J	`jnl`	Equilibrium Conserving Neural Operators for Super-Resolution Learning. CoRR Vivek Oommen, Andreas E. Robertson, Daniel Diaz, Coleman Alleman, Zhen Zhang, Anthony D. Rollett, George E. Karniadakis, Rémi Dingreville
2025	J	`jnl`	Safe Physics-Informed Machine Learning for Optimal Predefined-Time Stabilization: A Lyapunov-Based Approach. IEEE Trans. Neural Networks Learn. Syst. Nick-Marios T. Kokolakis, Zhen Zhang, Shanqing Liu, Kyriakos G. Vamvoudakis, Jérôme Darbon, George Em Karniadakis
2025	J	`jnl`	SympGNNs: Symplectic Graph Neural Networks for identifying high-dimensional Hamiltonian systems and node classification. Neural Networks Alan John Varghese, Zhen Zhang, George Em Karniadakis
2024	J	`jnl`	Coagulo-Net: Enhancing the mathematical modeling of blood coagulation using physics-informed neural networks. Neural Networks Ying Qian, Ge Zhu, Zhen Zhang, Susree Modepalli, Yihao Zheng, Xiaoning Zheng, Galit H. Frydman, He Li
2024	J	`jnl`	Integrating Neural Operators with Diffusion Models Improves Spectral Representation in Turbulence Modeling. CoRR Vivek Oommen, Aniruddha Bora, Zhen Zhang, George Em Karniadakis
2024	J	`jnl`	SympGNNs: Symplectic Graph Neural Networks for identifiying high-dimensional Hamiltonian systems and node classification. CoRR Alan John Varghese, Zhen Zhang, George Em Karniadakis
2023	J	`jnl`	Discovering a reaction-diffusion model for Alzheimer's disease by combining PINNs with symbolic regression. CoRR Zhen Zhang, Zongren Zou, Ellen Kuhl, George Em Karniadakis
2023	J	`jnl`	Learning Poisson Systems and Trajectories of Autonomous Systems via Poisson Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Pengzhan Jin, Zhen Zhang, Ioannis G. Kevrekidis, George Em Karniadakis
2022	J	`jnl`	SympOCnet: Solving Optimal Control Problems with Applications to High-Dimensional Multiagent Path Planning Problems. SIAM J. Sci. Comput. Tingwei Meng, Zhen Zhang, Jérôme Darbon, George E. Karniadakis
2022	J	`jnl`	SympOCnet: Solving optimal control problems with applications to high-dimensional multi-agent path planning problems. CoRR Tingwei Meng, Zhen Zhang, Jérôme Darbon, George Em Karniadakis
2022	J	`jnl`	Systems Biology: Identifiability analysis and parameter identification via systems-biology informed neural networks. CoRR Mitchell Daneker, Zhen Zhang, George Em Karniadakis, Lu Lu
2021	J	`jnl`	An integrated framework for building trustworthy data-driven epidemiological models: Application to the COVID-19 outbreak in New York City. PLoS Comput. Biol. Sheng Zhang, Joan Ponce, Zhen Zhang, Guang Lin, George E. Karniadakis
2021	J	`jnl`	GFINNs: GENERIC Formalism Informed Neural Networks for Deterministic and Stochastic Dynamical Systems. CoRR Zhen Zhang, Yeonjong Shin, George Em Karniadakis
2021	J	`jnl`	Identifiability and predictability of integer- and fractional-order epidemiological models using physics-informed neural networks. Nat. Comput. Sci. Ehsan Kharazmi, Min Cai, Xiaoning Zheng, Zhen Zhang, Guang Lin, George Em Karniadakis
2020	J	`jnl`	Learning Poisson systems and trajectories of autonomous systems via Poisson neural networks. CoRR Pengzhan Jin, Zhen Zhang, Ioannis G. Kevrekidis, George Em Karniadakis
2020	J	`jnl`	SympNets: Intrinsic structure-preserving symplectic networks for identifying Hamiltonian systems. Neural Networks Pengzhan Jin, Zhen Zhang, Aiqing Zhu, Yifa Tang, George Em Karniadakis