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ORCIDZhilu Lai
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2020 – today
- 2025
[j4]Letian Yi, Siyuan Yang
, Ying Cui, Zhilu Lai:
Transforming physics-informed machine learning to convex optimization. Eng. Appl. Artif. Intell. 161: 112149 (2025)- [j3]Xuyao Yu, Zijun Gong, Zhilu Lai:
Frequency-phase coupled parameter estimation for vibration measurement with LFMCW radar. Signal Process. 237: 110033 (2025) - [j2]Ruohui Zhang, Chenglin Chen, Huiyue Tang, Yong Qin, Zhilu Lai, Yun Bai:
Onboard Metro Train Localization Based on the Train Motion and Track Geometry Feature Fusion. IEEE Trans. Intell. Transp. Syst. 26(10): 16275-16290 (2025) - [c2]Siyuan Yang, Cheng Song, Zhilu Lai, Wenjia Wang:
KP-PINNs: Kernel Packet Accelerated Physics Informed Neural Networks. IJCAI 2025: 7904-7912 - [c1]Zhihao Li, Haoze Song, Di Xiao, Zhilu Lai, Wei Wang:
Harnessing Scale and Physics: A Multi-Graph Neural Operator Framework for PDEs on Arbitrary Geometries. KDD (1) 2025: 729-740 - [i16]Zhihao Li, Di Xiao, Zhilu Lai, Wei Wang:
Neural Preconditioning Operator for Efficient PDE Solves. CoRR abs/2502.01337 (2025) - [i15]Letian Yi, Siyuan Yang, Ying Cui, Zhilu Lai:
Transforming physics-informed machine learning to convex optimization. CoRR abs/2505.01047 (2025) - [i14]Haoze Song, Zhihao Li, Xiaobo Zhang, Zecheng Gan, Zhilu Lai, Wei Wang:
Redefining Neural Operators in d+1 Dimensions. CoRR abs/2505.11766 (2025) - [i13]Tingpeng Zhang, Xuzhang Peng, Mingyuan Zhou, Guobiao Hu, Zhilu Lai:
Mechanical in-sensor computing: a programmable meta-sensor for structural damage classification without external electronic power. CoRR abs/2505.18579 (2025) - [i12]Siyuan Yang, Cheng Song, Zhilu Lai, Wenjia Wang:
KP-PINNs: Kernel Packet Accelerated Physics Informed Neural Networks. CoRR abs/2506.08563 (2025) - [i11]Wei Liu, Eleni N. Chatzi, Zhilu Lai:
On the Rate of Convergence of Kolmogorov-Arnold Network Regression Estimators. CoRR abs/2509.19830 (2025) - [i10]Letian Yi, Tingpeng Zhang, Mingyuan Zhou, Guannan Wang, Quanke Su, Zhilu Lai:
Reconstructing Multi-Scale Physical Fields from Extremely Sparse Measurements with an Autoencoder-Diffusion Cascade. CoRR abs/2512.01572 (2025) - [i9]Siyuan Yang, Wei Liu, Zhilu Lai:
A unified framework for equation discovery and dynamic prediction of hysteretic systems. CoRR abs/2512.02408 (2025) - 2024
- [i8]Zhihao Li, Zhilu Lai, Xiaobo Wang, Wei Wang:
M2NO: Multiresolution Operator Learning with Multiwavelet-based Algebraic Multigrid Method. CoRR abs/2406.04822 (2024) - [i7]Mingyuan Zhou, Haoze Song, Wenjing Ye, Wei Wang, Zhilu Lai:
Parameter estimation of structural dynamics with neural operators enabled surrogate modeling. CoRR abs/2410.11712 (2024) - [i6]Zhihao Li, Haoze Song, Di Xiao, Zhilu Lai, Wei Wang:
Harnessing Scale and Physics: A Multi-Graph Neural Operator Framework for PDEs on Arbitrary Geometries. CoRR abs/2411.15178 (2024) - [i5]Mingyuan Zhou, Xudong Jian, Ye Xia, Zhilu Lai:
Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data. CoRR abs/2412.03880 (2024) - 2023
- [i4]Marcus Haywood-Alexander, Wei Liu, Kiran Bacsa, Zhilu Lai, Eleni N. Chatzi:
Discussing the Spectra of Physics-Enhanced Machine Learning via a Survey on Structural Mechanics Applications. CoRR abs/2310.20425 (2023) - 2022
- [i3]Zhilu Lai, Wei Liu, Xudong Jian, Kiran Bacsa, Limin Sun, Eleni N. Chatzi:
Neural Modal ODEs: Integrating Physics-based Modeling with Neural ODEs for Modeling High Dimensional Monitored Structures. CoRR abs/2207.07883 (2022) - [i2]Wei Liu, Zhilu Lai, Kiran Bacsa, Eleni N. Chatzi:
Neural Extended Kalman Filters for Learning and Predicting Dynamics of Structural Systems. CoRR abs/2210.04165 (2022) - 2021
- [i1]Wei Liu, Zhilu Lai, Kiran Bacsa, Eleni N. Chatzi:
Physics-guided Deep Markov Models for Learning Nonlinear Dynamical Systems with Uncertainty. CoRR abs/2110.08607 (2021)
2010 – 2019
- 2016
- [j1]Ying Lei, Huan Zhou, Zhilu Lai:
A Computationally Efficient Algorithm for Real-Time Tracking the Abrupt Stiffness Degradations of Structural Elements. Comput. Aided Civ. Infrastructure Eng. 31(6): 465-480 (2016)
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