Zhilu Lai

According to our database, Zhilu Lai authored at least 24 papers between 2016 and 2026.

Collaborative distances:

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

2026

Structure-Aware Epistemic Uncertainty Quantification for Neural Operator PDE Surrogates.

Haoze Song, Zhihao Li, Mengyi Deng, Xin Li, Duyi Pan, Zhilu Lai, Wei Wang

CoRR, March, 2026

Physics-Consistent Diffusion for Efficient Fluid Super-Resolution via Multiscale Residual Correction.

Zhihao Li, Shengwei Dong, Chuang Yi, Junxuan Gao, Zhilu Lai, Zhiqiang Liu, Wei Wang, Guangtao Zhang

CoRR, March, 2026

From Basis to Basis: Gaussian Particle Representation for Interpretable PDE Operators.

Zhihao Li, Yu Feng, Zhilu Lai, Wei Wang

CoRR, February, 2026

M2NO: An Efficient Multi-Resolution Operator Framework for Dynamic Multi-Scale PDE Solvers.

Zhihao Li, Zhilu Lai, Xiaobo Zhang, Wei Wang

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025

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

Siyuan Yang, Wei Liu, Zhilu Lai

CoRR, December, 2025

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

Letian Yi, Tingpeng Zhang, Mingyuan Zhou, Guannan Wang, Quanke Su, Zhilu Lai

CoRR, December, 2025

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

Ruohui Zhang, Chenglin Chen, Huiyue Tang, Yong Qin, Zhilu Lai, Yun Bai

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

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

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.

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

Transforming physics-informed machine learning to convex optimization.

Letian Yi, Siyuan Yang, Ying Cui, Zhilu Lai

Eng. Appl. Artif. Intell., 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

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

Siyuan Yang, Cheng Song, Zhilu Lai, Wenjia Wang

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.

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