| Load monitoring of aerospace structures utilizing micro-electro-mechanical systems for static and quasi-static loading conditions M Martinez, B Rocha, M Li, G Shi, A Beltempo, R Rutledge, ... Smart materials and structures 21 (11), 115001, 2012 | 18 | 2012 |
| Wide-band butterfly network: stable and efficient inversion via multi-frequency neural networks M Li, L Demanet, L Zepeda-Núñez Multiscale Modeling & Simulation 20 (4), 1191-1227, 2022 | 10 | 2022 |
| Principal feature detection via ϕ-Sobolev inequalities MTC Li, Y Marzouk, O Zahm Bernoulli 30 (4), 2979-3003, 2024 | 9 | 2024 |
| Load Monitoring of Aerospace Structures Using Micro-Electro-Mechanical Systems (MEMS) M Martinez, B Rocha, M Li, G Shi, A Beltempo, R Rutledge, ... ASME 2012 Conference on Smart Materials, Adaptive Structures and Intelligent …, 2012 | 8 | 2012 |
| Redatuming physical systems using symmetric autoencoders P Bharadwaj, M Li, L Demanet Physical Review Research 4 (2), 023118, 2022 | 7 | 2022 |
| SymAE: An autoencoder with embedded physical symmetries for passive time-lapse monitoring P Bharadwaj, M Li, L Demanet SEG International Exposition and Annual Meeting, D041S100R007, 2020 | 7 | 2020 |
| Exploration of Flight State and Control System Parameters for Prediction of Helicopter Loads via Gamma Test and Machine Learning Techniques C Cheung, JJ Valdes, M Li Real World Data Mining Applications 17, 359-385, 2015 | 6 | 2015 |
| Accurate and robust deep learning framework for solving wave-based inverse problems in the super-resolution regime M Li, L Demanet, L Zepeda-Núñez arXiv preprint arXiv:2106.01143, 2021 | 5 | 2021 |
| Sensor dynamics in high dimensional phase spaces via nonlinear transformations: Application to helicopter loads monitoring JJ Valdes, C Cheung, M Li 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM), 2014 | 5 | 2014 |
| Towards conservative helicopter loads prediction using computational intelligence techniques JJ Valdes, C Cheung, M Li The 2012 International Joint Conference on Neural Networks (IJCNN), 2012 | 5 | 2012 |
| Use of evolutionary computation techniques for exploration and prediction of helicopter loads C Cheung, JJ Valdes, M Li 2012 IEEE Congress on Evolutionary Computation (CEC), 2012 | 4 | 2012 |
| Subsurface uncertainty quantification with deep geologic priors: A variational Bayesian framework A Tewari, B Wheelock, J Clark, D Foster, M Li, Y Marzouk Second International Meeting for Applied Geoscience & Energy, 1745-1749, 2022 | 3 | 2022 |
| An approach to fatigue damage estimation of helicopter rotating components using computational intelligence techniques C Cheung, B Rocha, JJ Valdes, A Stefani, M Li 69th American Helicopter Society International Annual Forum 2013 2, 2013 | 2 | 2013 |
| Sharp detection of low-dimensional structure in probability measures via dimensional logarithmic Sobolev inequalities MTC Li, T Cui, F Li, Y Marzouk, O Zahm arXiv preprint arXiv:2406.13036, 2024 | 1 | 2024 |
| Applications of Deep Learning to Scientific Inverse Problems MTC Li Massachusetts Institute of Technology, 2021 | | 2021 |
| SymAE: redatuming timelapse data to create virtual baseline sources in the monitoring medium P Bharadwaj, M Li, L Demanet AGU Fall Meeting Abstracts 2020, S064-0013, 2020 | | 2020 |
| The Anchored Separated Representation for High Dimensional Problems MTC Li University of Toronto, 2015 | | 2015 |
| SymAE: An autoencoder with embedded physical symmetries for passive time-lapse monitoring MTC Li, P Bharadwaj, L Demanet 2023 Joint Mathematics Meetings (JMM 2023), 0 | | |
| Load Monitoring of Aerospace Structures utilizing Micro-Electro Mechanical Systems (MEMS) for Static and Quasi-Static Loading Conditions M Martinez, B Rocha, M Li, G Shi, A Beltempo, R Rutledge, ... | | |
