Keyi Wu

According to our database, Keyi Wu authored at least 12 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Cocv: A compression algorithm for time-series data with continuous constant values in IoT-based monitoring systems.

Shengsheng Lin, Weiwei Lin, Keyi Wu, Songbo Wang, Minxian Xu, James Z. Wang

Internet Things, April, 2024

2023

Large-Scale Bayesian Optimal Experimental Design with Derivative-Informed Projected Neural Network.

Keyi Wu, Thomas O'Leary-Roseberry, Peng Chen, Omar Ghattas

J. Sci. Comput., April, 2023

A Fast and Scalable Computational Framework for Large-Scale High-Dimensional Bayesian Optimal Experimental Design.

Keyi Wu, Peng Chen, Omar Ghattas

SIAM/ASA J. Uncertain. Quantification, March, 2023

An Offline-Online Decomposition Method for Efficient Linear Bayesian Goal-Oriented Optimal Experimental Design: Application to Optimal Sensor Placement.

Keyi Wu, Peng Chen, Omar Ghattas

SIAM J. Sci. Comput., February, 2023

Bayesian model calibration for diblock copolymer thin film self-assembly using power spectrum of microscopy data.

Lianghao Cao, Keyi Wu, J. Tinsley Oden, Peng Chen, Omar Ghattas

CoRR, 2023

Automated spacing measurement of formwork system members with 3D point cloud data.

Keyi Wu, Samuel A. Prieto, Eyob T. Mengiste, Borja Garcia de Soto

CoRR, 2023

2022

Derivative-informed projected neural network for large-scale Bayesian optimal experimental design.

Keyi Wu, Thomas O'Leary-Roseberry, Peng Chen, Omar Ghattas

CoRR, 2022

2021

A fast and scalable computational framework for goal-oriented linear Bayesian optimal experimental design: Application to optimal sensor placement.

Keyi Wu, Peng Chen, Omar Ghattas

CoRR, 2021

2020

A fast and scalable computational framework for large-scale and high-dimensional Bayesian optimal experimental design.

Keyi Wu, Peng Chen, Omar Ghattas

CoRR, 2020

2019

Projected Stein Variational Newton: A Fast and Scalable Bayesian Inference Method in High Dimensions.

Peng Chen, Keyi Wu, Joshua Chen, Tom O'Leary-Roseberry, Omar Ghattas

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Collective Influence Maximization.

Xudong Wu, Luoyi Fu, Keyi Wu, Bo Jiang, Xinbing Wang, Guihai Chen

Proceedings of the Twentieth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2019

2016

A surrogate accelerated multicanonical Monte Carlo method for uncertainty quantification.

Keyi Wu, Jinglai Li

J. Comput. Phys., 2016