Tingwei Meng - RankMe

26 papers Journal 25Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Huddle: Parallel Shape Assembly using Decentralized, Minimalistic Robots. CoRR Khai Yi Chin, Tingwei Meng, Zhe Chen, Daniel Bassett, Yuri Ivanov
2025	J	`jnl`	In-Context Operator Learning for Linear Propagator Models. CoRR Tingwei Meng, Moritz Voß, Nils Detering, Giulio Farolfi, Stanley J. Osher, Georg Menz
2025	J	`jnl`	Recent Advances in Numerical Solutions for Hamilton-Jacobi PDEs. CoRR Tingwei Meng, Siting Liu, Samy Wu Fung, Stanley J. Osher
2024	J	`jnl`	A Primal-dual hybrid gradient method for solving optimal control problems and the corresponding Hamilton-Jacobi PDEs. CoRR Tingwei Meng, Siting Liu, Wuchen Li, Stanley J. Osher
2024	J	`jnl`	HJ-sampler: A Bayesian sampler for inverse problems of a stochastic process by leveraging Hamilton-Jacobi PDEs and score-based generative models. CoRR Tingwei Meng, Zongren Zou, Jérôme Darbon, George Em Karniadakis
2024	J	`jnl`	Hopf-type representation formulas and efficient algorithms for certain high-dimensional optimal control problems. Comput. Math. Appl. Paula X. Chen, Jérôme Darbon, Tingwei Meng
2024	—	`conf`	Leveraging Hamilton-Jacobi PDEs with time-dependent Hamiltonians for continual scientific machine learning. L4DC Paula X. Chen, Tingwei Meng, Zongren Zou, Jérôme Darbon, George Em Karniadakis
2024	J	`jnl`	Leveraging Multitime Hamilton-Jacobi PDEs for Certain Scientific Machine Learning Problems. SIAM J. Sci. Comput. Paula X. Chen, Tingwei Meng, Zongren Zou, Jérôme Darbon, George Em Karniadakis
2024	J	`jnl`	Leveraging Viscous Hamilton-Jacobi PDEs for Uncertainty Quantification in Scientific Machine Learning. SIAM/ASA J. Uncertain. Quantification Zongren Zou, Tingwei Meng, Paula X. Chen, Jérôme Darbon, George Em Karniadakis
2024	J	`jnl`	Leveraging viscous Hamilton-Jacobi PDEs for uncertainty quantification in scientific machine learning. CoRR Zongren Zou, Tingwei Meng, Paula X. Chen, Jérôme Darbon, George Em Karniadakis
2023	J	`jnl`	In-Context Operator Learning for Differential Equation Problems. CoRR Liu Yang, Siting Liu, Tingwei Meng, Stanley J. Osher
2023	J	`jnl`	Leveraging Hamilton-Jacobi PDEs with time-dependent Hamiltonians for continual scientific machine learning. CoRR Paula X. Chen, Tingwei Meng, Zongren Zou, Jérôme Darbon, George Em Karniadakis
2023	J	`jnl`	Leveraging Multi-time Hamilton-Jacobi PDEs for Certain Scientific Machine Learning Problems. CoRR Paula X. Chen, Tingwei Meng, Zongren Zou, Jérôme Darbon, George Em Karniadakis
2023	J	`jnl`	Neural network architectures using min-plus algebra for solving certain high-dimensional optimal control problems and Hamilton-Jacobi PDEs. Math. Control. Signals Syst. Jérôme Darbon, Peter M. Dower, Tingwei Meng
2023	J	`jnl`	Primal-dual hybrid gradient algorithms for computing time-implicit Hamilton-Jacobi equations. CoRR Tingwei Meng, Wenbo Hao, Siting Liu, Stanley J. Osher, Wuchen Li
2023	J	`jnl`	Prompting In-Context Operator Learning with Sensor Data, Equations, and Natural Language. CoRR Liu Yang, Tingwei Meng, Siting Liu, Stanley J. Osher
2022	J	`jnl`	On Hamilton-Jacobi PDEs and Image Denoising Models with Certain Nonadditive Noise. J. Math. Imaging Vis. Jérôme Darbon, Tingwei Meng, Elena Resmerita
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
2021	J	`jnl`	Connecting Hamilton-Jacobi partial differential equations with maximum a posteriori and posterior mean estimators for some non-convex priors. CoRR Jérôme Darbon, Gabriel Provencher Langlois, Tingwei Meng
2021	J	`jnl`	Measure-conditional Discriminator with Stationary Optimum for GANs and Statistical Distance Surrogates. CoRR Liu Yang, Tingwei Meng, George Em Karniadakis
2021	J	`jnl`	Neural network architectures using min plus algebra for solving certain high dimensional optimal control problems and Hamilton-Jacobi PDEs. CoRR Jérôme Darbon, Peter M. Dower, Tingwei Meng
2021	J	`jnl`	On Hamilton-Jacobi PDEs and image denoising models with certain non-additive noise. CoRR Jérôme Darbon, Tingwei Meng, Elena Resmerita
2021	J	`jnl`	On some neural network architectures that can represent viscosity solutions of certain high dimensional Hamilton-Jacobi partial differential equations. J. Comput. Phys. Jérôme Darbon, Tingwei Meng
2020	J	`jnl`	On Decomposition Models in Imaging Sciences and Multi-time Hamilton-Jacobi Partial Differential Equations. SIAM J. Imaging Sci. Jérôme Darbon, Tingwei Meng
2020	J	`jnl`	On some neural network architectures that can represent viscosity solutions of certain high dimensional Hamilton-Jacobi partial differential equations. CoRR Jérôme Darbon, Tingwei Meng