Zhilu Lai

According to our database, Zhilu Lai authored at least 15 papers between 2016 and 2025.

Collaborative distances:

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

2025

KP-PINNs: Kernel Packet Accelerated Physics Informed Neural Networks.

Siyuan Yang, Cheng Song, Zhilu Lai, Wenjia Wang

CoRR, June, 2025

Mechanical in-sensor computing: a programmable meta-sensor for structural damage classification without external electronic power.

Tingpeng Zhang, Xuzhang Peng, Mingyuan Zhou, Guobiao Hu, Zhilu Lai

CoRR, May, 2025

Redefining Neural Operators in d+1 Dimensions.

Haoze Song, Zhihao Li, Xiaobo Zhang, Zecheng Gan, Zhilu Lai, Wei Wang

CoRR, May, 2025

Transforming physics-informed machine learning to convex optimization.

Letian Yi, Siyuan Yang, Ying Cui, Zhilu Lai

CoRR, May, 2025

Neural Preconditioning Operator for Efficient PDE Solves.

Zhihao Li, Di Xiao, Zhilu Lai, Wei Wang

CoRR, February, 2025

Frequency-phase coupled parameter estimation for vibration measurement with LFMCW radar.

Xuyao Yu, Zijun Gong, Zhilu Lai

Signal Process., 2025

Harnessing Scale and Physics: A Multi-Graph Neural Operator Framework for PDEs on Arbitrary Geometries.

Zhihao Li, Haoze Song, Di Xiao, Zhilu Lai, Wei Wang

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

2024

Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data.

Mingyuan Zhou, Xudong Jian, Ye Xia, Zhilu Lai

CoRR, 2024

Parameter estimation of structural dynamics with neural operators enabled surrogate modeling.

Mingyuan Zhou, Haoze Song, Wenjing Ye, Wei Wang, Zhilu Lai

CoRR, 2024

M2NO: Multiresolution Operator Learning with Multiwavelet-based Algebraic Multigrid Method.

Zhihao Li, Zhilu Lai, Xiaobo Wang, Wei Wang

CoRR, 2024

2023

Discussing the Spectra of Physics-Enhanced Machine Learning via a Survey on Structural Mechanics Applications.

Marcus Haywood-Alexander, Wei Liu, Kiran Bacsa, Zhilu Lai, Eleni N. Chatzi

CoRR, 2023

2022

Neural Extended Kalman Filters for Learning and Predicting Dynamics of Structural Systems.

Wei Liu, Zhilu Lai, Kiran Bacsa, Eleni N. Chatzi

CoRR, 2022

Neural Modal ODEs: Integrating Physics-based Modeling with Neural ODEs for Modeling High Dimensional Monitored Structures.

Zhilu Lai, Wei Liu, Xudong Jian, Kiran Bacsa, Limin Sun, Eleni N. Chatzi

CoRR, 2022

2021

Physics-guided Deep Markov Models for Learning Nonlinear Dynamical Systems with Uncertainty.

Wei Liu, Zhilu Lai, Kiran Bacsa, Eleni N. Chatzi

CoRR, 2021

2016

A Computationally Efficient Algorithm for Real-Time Tracking the Abrupt Stiffness Degradations of Structural Elements.

Ying Lei, Huan Zhou, Zhilu Lai

Comput. Aided Civ. Infrastructure Eng., 2016