Stephen Wu
Cited by
Cited by
Machine-learning-assisted discovery of polymers with high thermal conductivity using a molecular design algorithm
S Wu, Y Kondo, M Kakimoto, B Yang, H Yamada, I Kuwajima, G Lambard, ...
npj Computational Materials 5 (1), 1-11, 2019
Robust Bayesian compressive sensing for signals in structural health monitoring
Y Huang, JL Beck, S Wu, H Li
Computer‐Aided Civil and Infrastructure Engineering 29 (3), 160-179, 2014
Predicting Materials Properties with Little Data Using Shotgun Transfer Learning
H Yamada, C Liu, S Wu, Y Koyama, S Ju, J Shiomi, J Morikawa, ...
ACS central science 5 (10), 1717-1730, 2019
General network reliability problem and its efficient solution by Subset Simulation
KM Zuev, S Wu, JL Beck
Probabilistic Engineering Mechanics 40, 25-35, 2015
Bayesian compressive sensing for approximately sparse signals and application to structural health monitoring signals for data loss recovery
Y Huang, JL Beck, S Wu, H Li
Probabilistic Engineering Mechanics 46, 62-79, 2016
Personalized Radiotherapy Design for Glioblastoma: Integrating Mathematical Tumor Models, Multimodal Scans, and Bayesian Inference
J Lipková, P Angelikopoulos, S Wu, E Alberts, B Wiestler, C Diehl, ...
IEEE transactions on medical imaging 38 (8), 1875-1884, 2019
A hierarchical Bayesian framework for force field selection in molecular dynamics simulations
S Wu, P Angelikopoulos, C Papadimitriou, R Moser, P Koumoutsakos
Phil. Trans. R. Soc. A 374 (2060), 20150032, 2016
Bayesian Annealed Sequential Importance Sampling: An Unbiased Version of Transitional Markov Chain Monte Carlo
S Wu, P Angelikopoulos, C Papadimitriou, P Koumoutsakos
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B …, 2018
ePAD: Earthquake Probability‐Based Automated Decision‐Making Framework for Earthquake Early Warning
S Wu, JL Beck, TH Heaton
Computer‐Aided Civil and Infrastructure Engineering 28 (10), 737-752, 2013
Fusing heterogeneous data for the calibration of molecular dynamics force fields using hierarchical Bayesian models
S Wu, P Angelikopoulos, G Tauriello, C Papadimitriou, P Koumoutsakos
The Journal of Chemical Physics 145 (24), 244112, 2016
Earthquake early warning application to buildings
MH Cheng, S Wu, TH Heaton, JL Beck
Engineering Structures 60, 155-164, 2014
Virtual Inspector and its application to immediate pre-event and post-event earthquake loss and safety assessment of buildings
J Mitrani-Resier, S Wu, JL Beck
Natural Hazards 81 (3), 1861-1878, 2016
Synergistic combination of systems for structural health monitoring and earthquake early warning for structural health prognosis and diagnosis
S Wu, JL Beck
Health Monitoring of Structural and Biological Systems 2012 8348, 83481Z, 2012
Optimal Sampling Placement in a Gaussian Random Field Based on Value of Information
I Yoshida, Y Tasaki, Y Otake, S Wu
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A …, 2018
Data augmentation in microscopic images for material data mining
B Ma, X Wei, C Liu, X Ban, H Huang, H Wang, W Xue, S Wu, M Gao, ...
npj Computational Materials 6 (1), 1-9, 2020
Multi-events earthquake early warning algorithm using a Bayesian approach
S Wu, M Yamada, K Tamaribuchi, JL Beck
Geophysical Journal International 200 (2), 791-808, 2015
Neuron ID dataset facilitates neuronal annotation for whole-brain activity imaging of C. elegans
Y Toyoshima, S Wu, M Kanamori, H Sato, MS Jang, S Oe, Y Murakami, ...
BMC biology 18 (1), 1-20, 2020
Fractal dimension based damage identification incorporating multi-task sparse Bayesian learning
Y Huang, H Li, S Wu, Y Yang
Smart Materials and Structures 27 (7), 075020, 2018
Combining multiple earthquake models in real time for earthquake early warning
SE Minson, S Wu, JL Beck, TH Heaton
Bulletin of the Seismological Society of America 107 (4), 1868-1882, 2017
A new approach to identify multiple concurrent events for improvement of earthquake early warning
K Tamaribuchi, M Yamada, S Wu
Zisin 67 (2), 2014
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