Zhilu Lai

Orcid: 0000-0001-6227-6123

According to our database¹, Zhilu Lai authored at least 20 papers between 2016 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2025

A unified framework for equation discovery and dynamic prediction of hysteretic systems.

[BibT_eX]

[DOI]

Siyuan Yang

Wei Liu

Zhilu Lai

CoRR, December, 2025

Reconstructing Multi-Scale Physical Fields from Extremely Sparse Measurements with an Autoencoder-Diffusion Cascade.

[BibT_eX]

[DOI]

CoRR, December, 2025

Onboard Metro Train Localization Based on the Train Motion and Track Geometry Feature Fusion.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., October, 2025

On the Rate of Convergence of Kolmogorov-Arnold Network Regression Estimators.

[BibT_eX]

[DOI]

Wei Liu

Eleni N. Chatzi

Zhilu Lai

CoRR, September, 2025

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

[BibT_eX]

[DOI]

CoRR, May, 2025

Redefining Neural Operators in d+1 Dimensions.

[BibT_eX]

[DOI]

CoRR, May, 2025

Transforming physics-informed machine learning to convex optimization.

[BibT_eX]

[DOI]

CoRR, May, 2025

Neural Preconditioning Operator for Efficient PDE Solves.

[BibT_eX]

[DOI]

CoRR, February, 2025

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

[BibT_eX]

[DOI]

Xuyao Yu

Zijun Gong

Zhilu Lai

Signal Process., 2025

Transforming physics-informed machine learning to convex optimization.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2025

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

2023

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

[BibT_eX]

[DOI]

Marcus Haywood-Alexander

CoRR, 2023

2022

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

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

2021

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

[BibT_eX]

[DOI]

CoRR, 2021

2016

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

[BibT_eX]

[DOI]

Ying Lei

Huan Zhou

Zhilu Lai

Comput. Aided Civ. Infrastructure Eng., 2016

Zhilu Lai

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