Stephen Wu

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Ryo YoshidaThe Institute of Statistical MathematicsDirección de correo verificada de ism.ac.jp
James L. BeckG.W. Housner Professor of Engineering & Applied Science, Emeritus, CaltechDirección de correo verificada de caltech.edu
Panagiotis AngelikopoulosD.E. Shaw ResearchDirección de correo verificada de DEShawResearch.com
Yong HuangHarbin Institute of TechnologyDirección de correo verificada de hit.edu.cn
Junichiro ShiomiThe University of TokyoDirección de correo verificada de photon.t.u-tokyo.ac.jp
Petros KoumoutsakosHarvard UniversityDirección de correo verificada de seas.harvard.edu
Chang LiuThe Institute of Statistical MathematicsDirección de correo verificada de ism.ac.jp
Hui LiHarbin Institute of TechnologyDirección de correo verificada de hit.edu.cn
Guillaume LambardNational Institute for Materials ScienceDirección de correo verificada de nims.go.jp
Thomas HeatonCalifornia Institute of TechnologyDirección de correo verificada de caltech.edu
Shenghong JuShanghai Jiao Tong UniversityDirección de correo verificada de sjtu.edu.cn
Bin YangUniversity of RostockDirección de correo verificada de uni-rostock.de
Kenta HongoAssociate Professor at Research Center for Advanced Computing Infrastructure, JAISTDirección de correo verificada de jaist.ac.jp
Koji TamaribuchiMeteorological Research Institute, Japan Meteorological AgencyDirección de correo verificada de mri-jma.go.jp
Christoph SchickUniversity of RostockDirección de correo verificada de uni-rostock.de
Kok-Kwang PhoonSingapore University of Technology and DesignDirección de correo verificada de sutd.edu.sg
Sarah MinsonU.S. Geological SurveyDirección de correo verificada de usgs.gov
Panagiotis HadjidoukasUniversity of PatrasDirección de correo verificada de upatras.gr
Costas PapadimitriouUniversity of ThessalyDirección de correo verificada de uth.gr
Jianye ChingNational Taiwan UniversityDirección de correo verificada de ntu.edu.tw

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Stephen Wu

The Institute of Statistical Mathematics

Dirección de correo verificada de ism.ac.jp - Página principal

Bayesian Uncertainty Quan. w/ hierarchical models Decision Theory Material/Bio-informatics Pharmacokinetics/MD EEW


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	389	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	350	2019
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	159	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	153	2014
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	99	2021
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	99	2020
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	97	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	96	2015
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	71	2018
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	65	2021
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	57	2016
Earthquake early warning application to buildings MH Cheng, S Wu, TH Heaton, JL Beck Engineering Structures 60, 155-164, 2014	43	2014
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	42	2020
Bayesian Algorithm for Retrosynthesis Z Guo, S Wu, M Ohno, R Yoshida Journal of Chemical Information and Modeling 60 (10), 4474-4486, 2020	42	2020
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	41	2016
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	40	2019
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	38	2020
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	38	2013
Recovering compressed images for automatic crack segmentation using generative models Y Huang, H Zhang, H Li, S Wu Mechanical Systems and Signal Processing 146, 107061, 2021	37	2021
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	36	2016

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