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Matthew T.C. Li
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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
162012
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
72012
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
62020
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
62015
Wide-band butterfly network: stable and efficient inversion via multi-frequency neural networks
M Li, L Demanet, L Zepeda-Nez
Multiscale Modeling & Simulation 20 (4), 1191-1227, 2022
52022
Redatuming physical systems using symmetric autoencoders
P Bharadwaj, M Li, L Demanet
Physical Review Research 4 (2), 023118, 2022
52022
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
52014
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
52012
Accurate and robust deep learning framework for solving wave-based inverse problems in the super-resolution regime
M Li, L Demanet, L Zepeda-Nez
arXiv preprint arXiv:2106.01143, 2021
42021
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
42012
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
32022
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
22013
Principal Feature Detection via -Sobolev Inequalities
MTC Li, Y Marzouk, O Zahm
arXiv preprint arXiv:2305.06172, 2023
12023
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, ...
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