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Journal Articles
- 2024
[j5]Shengsheng Lin, Weiwei Lin
, Keyi Wu, Songbo Wang, Minxian Xu, James Z. Wang:
Cocv: A compression algorithm for time-series data with continuous constant values in IoT-based monitoring systems. Internet Things 25: 101049 (2024)- 2023
- [j4]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): 30 (2023) - [j3]Keyi Wu, Peng Chen, Omar Ghattas:
A Fast and Scalable Computational Framework for Large-Scale High-Dimensional Bayesian Optimal Experimental Design. SIAM/ASA J. Uncertain. Quantification 11(1): 235-261 (2023) - [j2]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): 57- (2023) - 2016
- [j1]Keyi Wu, Jinglai Li:
A surrogate accelerated multicanonical Monte Carlo method for uncertainty quantification. J. Comput. Phys. 321: 1098-1109 (2016)
Conference and Workshop Papers
- 2019
- [c2]Xudong Wu, Luoyi Fu, Keyi Wu, Bo Jiang, Xinbing Wang, Guihai Chen:
Collective Influence Maximization. MobiHoc 2019: 385-386 - [c1]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: 15104-15113
Informal and Other Publications
- 2023
- [i5]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 abs/2305.19275 (2023) - [i4]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 abs/2306.05398 (2023) - 2022
- [i3]Keyi Wu, Thomas O'Leary-Roseberry, Peng Chen, Omar Ghattas:
Derivative-informed projected neural network for large-scale Bayesian optimal experimental design. CoRR abs/2201.07925 (2022) - 2021
- [i2]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 abs/2102.06627 (2021) - 2020
- [i1]Keyi Wu, Peng Chen, Omar Ghattas:
A fast and scalable computational framework for large-scale and high-dimensional Bayesian optimal experimental design. CoRR abs/2010.15196 (2020)
Coauthor Index
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