Stephen Wu
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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
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
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
Personalized Radiotherapy Design for Glioblastoma: Integrating Mathematical Tumor Models, Multimodal Scans, and Bayesian Inference
J LipkovŠ, P Angelikopoulos, S Wu, E Alberts, B Wiestler, C Diehl, ...
IEEE transactions on medical imaging 38 (8), 1875-1884, 2019
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
General network reliability problem and its efficient solution by Subset Simulation
KM Zuev, S Wu, JL Beck
Probabilistic Engineering Mechanics 40, 25-35, 2015
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
Constructing quasi-site-specific multivariate probability distribution using hierarchical Bayesian model
J Ching, S Wu, KK Phoon
Journal of Engineering Mechanics 147 (10), 04021069, 2021
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
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
Exploring diamondlike lattice thermal conductivity crystals via feature-based transfer learning
S Ju, R Yoshida, C Liu, S Wu, K Hongo, T Tadano, J Shiomi
Physical Review Materials 5 (5), 053801, 2021
Earthquake early warning application to buildings
MH Cheng, S Wu, TH Heaton, JL Beck
Engineering Structures 60, 155-164, 2014
Bayesian Algorithm for Retrosynthesis
Z Guo, S Wu, M Ohno, R Yoshida
Journal of Chemical Information and Modeling 60 (10), 4474-4486, 2020
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), 2016
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
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
Hierarchical Stochastic Model in Bayesian Inference for Engineering Applications: Theoretical Implications and Efficient Approximation
S Wu, P Angelikopoulos, JL Beck, P Koumoutsakos
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B†…, 2019
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
iQSPR in XenonPy: A Bayesian Molecular Design Algorithm
S Wu, G Lambard, C Liu, H Yamada, R Yoshida
Molecular Informatics 39 (1-2), 1900107, 2020
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
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Articles 1–20