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Keyi Wu
ORCID
Publication Activity (10 Years)
Years Active: 2016-2023
Publications (10 Years): 10
Top Topics
Experimental Design
Influence Maximization
Monte Carlo Method
Computational Framework
Top Venues
CoRR
J. Comput. Phys.
MobiHoc
SIAM J. Sci. Comput.
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Publications
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Keyi Wu
,
Thomas O'Leary-Roseberry
,
Peng Chen
,
Omar Ghattas
Large-Scale Bayesian Optimal Experimental Design with Derivative-Informed Projected Neural Network.
J. Sci. Comput.
95 (1) (2023)
Lianghao Cao
,
Keyi Wu
,
J. Tinsley Oden
,
Peng Chen
,
Omar Ghattas
Bayesian model calibration for diblock copolymer thin film self-assembly using power spectrum of microscopy data.
CoRR
(2023)
Keyi Wu
,
Peng Chen
,
Omar Ghattas
An Offline-Online Decomposition Method for Efficient Linear Bayesian Goal-Oriented Optimal Experimental Design: Application to Optimal Sensor Placement.
SIAM J. Sci. Comput.
45 (1) (2023)
Keyi Wu
,
Samuel A. Prieto
,
Eyob T. Mengiste
,
Borja Garcia de Soto
Automated spacing measurement of formwork system members with 3D point cloud data.
CoRR
(2023)
Keyi Wu
,
Thomas O'Leary-Roseberry
,
Peng Chen
,
Omar Ghattas
Derivative-informed projected neural network for large-scale Bayesian optimal experimental design.
CoRR
(2022)
Keyi Wu
,
Peng Chen
,
Omar Ghattas
A fast and scalable computational framework for goal-oriented linear Bayesian optimal experimental design: Application to optimal sensor placement.
CoRR
(2021)
Keyi Wu
,
Peng Chen
,
Omar Ghattas
A fast and scalable computational framework for large-scale and high-dimensional Bayesian optimal experimental design.
CoRR
(2020)
Xudong Wu
,
Luoyi Fu
,
Keyi Wu
,
Bo Jiang
,
Xinbing Wang
,
Guihai Chen
Collective Influence Maximization.
MobiHoc
(2019)
Peng Chen
,
Keyi Wu
,
Joshua Chen
,
Tom O'Leary-Roseberry
,
Omar Ghattas
Projected Stein Variational Newton: A Fast and Scalable Bayesian Inference Method in High Dimensions.
NeurIPS
(2019)
Keyi Wu
,
Jinglai Li
A surrogate accelerated multicanonical Monte Carlo method for uncertainty quantification.
J. Comput. Phys.
321 (2016)