Ming Zhong - RankMe

18 papers A* 2Misc 1Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	Misc	`conf`	Noise-based Regularized Training for Diffusion Models. MVA Yuzhang Shang, Yubin Lu, Jinchao Feng, Ming Zhong, Yan Yan
2024	J	`jnl`	Label Propagation Training Schemes for Physics-Informed Neural Networks and Gaussian Processes. CoRR Ming Zhong, Dehao Liu, Raymundo Arróyave, Ulisses Braga-Neto
2024	J	`jnl`	Structure Preserving PINN for Solving Time Dependent PDEs with Periodic Boundary. CoRR Baoli Hao, Ulisses Braga-Neto, Chun Liu, Lifan Wang, Ming Zhong
2023	J	`jnl`	Learning Collective Behaviors from Observation. CoRR Jinchao Feng, Ming Zhong
2023	J	`jnl`	Physics-informed neural networks with adaptive localized artificial viscosity. J. Comput. Phys. Emilio Jose Rocha Coutinho, Marcelo Dall'Aqua, Levi D. McClenny, Ming Zhong, Ulisses Braga-Neto, Eduardo Gildin
2023	A*	`conf`	Towards Saner Deep Image Registration. ICCV Bin Duan, Ming Zhong, Yan Yan
2023	J	`jnl`	Towards Saner Deep Image Registration. CoRR Bin Duan, Ming Zhong, Yan Yan
2022	—	`conf`	Grassmannian packings: Trust-region stochastic tuning for matrix incoherence. Allerton Josiah Park, Carlos Saltijeral, Ming Zhong
2022	J	`jnl`	Learning Interaction Variables and Kernels from Observations of Agent-Based Systems. CoRR Jinchao Feng, Mauro Maggioni, Patrick Martin, Ming Zhong
2022	J	`jnl`	Physics-Informed Neural Networks with Adaptive Localized Artificial Viscosity. CoRR Emilio Jose Rocha Coutinho, Marcelo Dall'Aqua, Levi D. McClenny, Ming Zhong, Ulisses Braga-Neto, Eduardo Gildin
2021	A*	`conf`	Learning Interaction Kernels for Agent Systems on Riemannian Manifolds. ICML Mauro Maggioni, Jason Miller, Hongda Qiu, Ming Zhong
2021	J	`jnl`	Learning Interaction Kernels for Agent Systems on Riemannian Manifolds. CoRR Mauro Maggioni, Jason Miller, Hongda Qiu, Ming Zhong
2021	J	`jnl`	Machine Learning for Discovering Effective Interaction Kernels between Celestial Bodies from Ephemerides. CoRR Ming Zhong, Jason Miller, Mauro Maggioni
2020	J	`jnl`	Learning Theory for Inferring Interaction Kernels in Second-Order Interacting Agent Systems. CoRR Jason Miller, Sui Tang, Ming Zhong, Mauro Maggioni
2020	J	`jnl`	Sparse recovery of noisy data using the Lasso method. CoRR Eitan Tadmor, Ming Zhong
2019	J	`jnl`	Data-driven Discovery of Emergent Behaviors in Collective Dynamics. CoRR Mauro Maggioni, Jason Miller, Ming Zhong
2018	J	`jnl`	Nonparametric inference of interaction laws in systems of agents from trajectory data. CoRR Fei Lu, Mauro Maggioni, Sui Tang, Ming Zhong
2011	J	`jnl`	A Stochastic Mortar Mixed Finite Element Method for Flow in Porous Media with Multiple Rock Types. SIAM J. Sci. Comput. Benjamin Ganis, Ivan Yotov, Ming Zhong