Tingwei Meng
University of California, Los Angeles(US)
Publications by Year
Research Areas
Model Reduction and Neural Networks, Gaussian Processes and Bayesian Inference, Neural Networks and Applications, Advanced Control Systems Optimization, Advanced Optimization Algorithms Research
Most-Cited Works
- → Overcoming the curse of dimensionality for some Hamilton–Jacobi partial differential equations via neural network architectures(2020)94 cited
- → On some neural network architectures that can represent viscosity solutions of certain high dimensional Hamilton–Jacobi partial differential equations(2020)62 cited
- → In-context operator learning with data prompts for differential equation problems(2023)39 cited
- → Neural network architectures using min-plus algebra for solving certain high-dimensional optimal control problems and Hamilton–Jacobi PDEs(2022)19 cited
- → Matrix metalloproteinase-initiated aggregation of melanin nanoparticles as highly efficient contrast agent for enhanced tumor accumulation and dual-modal imaging(2020)17 cited
- → Leveraging Multitime Hamilton–Jacobi PDEs for Certain Scientific Machine Learning Problems(2024)12 cited
- → On Hamilton–Jacobi PDEs and Image Denoising Models with Certain Nonadditive Noise(2022)12 cited
- → SympOCnet: Solving Optimal Control Problems with Applications to High-Dimensional Multiagent Path Planning Problems(2022)12 cited
- → Leveraging Viscous Hamilton–Jacobi PDEs for Uncertainty Quantification in Scientific Machine Learning(2024)12 cited
- → Overcoming the curse of dimensionality for some Hamilton--Jacobi partial differential equations via neural network architectures(2019)7 cited