Keyi Wu

12 papers A* 1B 1Journal 10

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Cocv: A compression algorithm for time-series data with continuous constant values in IoT-based monitoring systems. Internet Things Shengsheng Lin, Weiwei Lin, Keyi Wu, Songbo Wang, Minxian Xu, James Z. Wang
2023	J	`jnl`	A Fast and Scalable Computational Framework for Large-Scale High-Dimensional Bayesian Optimal Experimental Design. SIAM/ASA J. Uncertain. Quantification Keyi Wu, Peng Chen, Omar Ghattas
2023	J	`jnl`	An Offline-Online Decomposition Method for Efficient Linear Bayesian Goal-Oriented Optimal Experimental Design: Application to Optimal Sensor Placement. SIAM J. Sci. Comput. Keyi Wu, Peng Chen, Omar Ghattas
2023	J	`jnl`	Automated spacing measurement of formwork system members with 3D point cloud data. CoRR Keyi Wu, Samuel A. Prieto, Eyob T. Mengiste, Borja Garcia de Soto
2023	J	`jnl`	Bayesian model calibration for diblock copolymer thin film self-assembly using power spectrum of microscopy data. CoRR Lianghao Cao, Keyi Wu, J. Tinsley Oden, Peng Chen, Omar Ghattas
2023	J	`jnl`	Large-Scale Bayesian Optimal Experimental Design with Derivative-Informed Projected Neural Network. J. Sci. Comput. Keyi Wu, Thomas O'Leary-Roseberry, Peng Chen, Omar Ghattas
2022	J	`jnl`	Derivative-informed projected neural network for large-scale Bayesian optimal experimental design. CoRR Keyi Wu, Thomas O'Leary-Roseberry, Peng Chen, Omar Ghattas
2021	J	`jnl`	A fast and scalable computational framework for goal-oriented linear Bayesian optimal experimental design: Application to optimal sensor placement. CoRR Keyi Wu, Peng Chen, Omar Ghattas
2020	J	`jnl`	A fast and scalable computational framework for large-scale and high-dimensional Bayesian optimal experimental design. CoRR Keyi Wu, Peng Chen, Omar Ghattas
2019	B	`conf`	Collective Influence Maximization. MobiHoc Xudong Wu, Luoyi Fu, Keyi Wu, Bo Jiang, Xinbing Wang, Guihai Chen
2019	A*	`conf`	Projected Stein Variational Newton: A Fast and Scalable Bayesian Inference Method in High Dimensions. NeurIPS Peng Chen, Keyi Wu, Joshua Chen, Tom O'Leary-Roseberry, Omar Ghattas
2016	J	`jnl`	A surrogate accelerated multicanonical Monte Carlo method for uncertainty quantification. J. Comput. Phys. Keyi Wu, Jinglai Li