Zhilu Lai - RankMe

26 papers A* 1Journal 23Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	From Basis to Basis: Gaussian Particle Representation for Interpretable PDE Operators. CoRR Zhihao Li, Yu Feng, Zhilu Lai, Wei Wang
2026	—	`conf`	M2NO: An Efficient Multi-Resolution Operator Framework for Dynamic Multi-Scale PDE Solvers. KDD (1) Zhihao Li, Zhilu Lai, Xiaobo Zhang, Wei Wang
2026	J	`jnl`	Physics-Consistent Diffusion for Efficient Fluid Super-Resolution via Multiscale Residual Correction. CoRR Zhihao Li, Shengwei Dong, Chuang Yi, Junxuan Gao, Zhilu Lai, Zhiqiang Liu, Wei Wang, Guangtao Zhang
2026	J	`jnl`	Structure-Aware Epistemic Uncertainty Quantification for Neural Operator PDE Surrogates. CoRR Haoze Song, Zhihao Li, Mengyi Deng, Xin Li, Duyi Pan, Zhilu Lai, Wei Wang
2025	J	`jnl`	A unified framework for equation discovery and dynamic prediction of hysteretic systems. CoRR Siyuan Yang, Wei Liu, Zhilu Lai
2025	J	`jnl`	Frequency-phase coupled parameter estimation for vibration measurement with LFMCW radar. Signal Process. Xuyao Yu, Zijun Gong, Zhilu Lai
2025	—	`conf`	Harnessing Scale and Physics: A Multi-Graph Neural Operator Framework for PDEs on Arbitrary Geometries. KDD (1) Zhihao Li, Haoze Song, Di Xiao, Zhilu Lai, Wei Wang
2025	A*	`conf`	KP-PINNs: Kernel Packet Accelerated Physics Informed Neural Networks. IJCAI Siyuan Yang, Cheng Song, Zhilu Lai, Wenjia Wang
2025	J	`jnl`	KP-PINNs: Kernel Packet Accelerated Physics Informed Neural Networks. CoRR Siyuan Yang, Cheng Song, Zhilu Lai, Wenjia Wang
2025	J	`jnl`	Mechanical in-sensor computing: a programmable meta-sensor for structural damage classification without external electronic power. CoRR Tingpeng Zhang, Xuzhang Peng, Mingyuan Zhou, Guobiao Hu, Zhilu Lai
2025	J	`jnl`	Neural Preconditioning Operator for Efficient PDE Solves. CoRR Zhihao Li, Di Xiao, Zhilu Lai, Wei Wang
2025	J	`jnl`	On the Rate of Convergence of Kolmogorov-Arnold Network Regression Estimators. CoRR Wei Liu, Eleni N. Chatzi, Zhilu Lai
2025	J	`jnl`	Onboard Metro Train Localization Based on the Train Motion and Track Geometry Feature Fusion. IEEE Trans. Intell. Transp. Syst. Ruohui Zhang, Chenglin Chen, Huiyue Tang, Yong Qin, Zhilu Lai, Yun Bai
2025	J	`jnl`	Reconstructing Multi-Scale Physical Fields from Extremely Sparse Measurements with an Autoencoder-Diffusion Cascade. CoRR Letian Yi, Tingpeng Zhang, Mingyuan Zhou, Guannan Wang, Quanke Su, Zhilu Lai
2025	J	`jnl`	Redefining Neural Operators in d+1 Dimensions. CoRR Haoze Song, Zhihao Li, Xiaobo Zhang, Zecheng Gan, Zhilu Lai, Wei Wang
2025	J	`jnl`	Transforming physics-informed machine learning to convex optimization. CoRR Letian Yi, Siyuan Yang, Ying Cui, Zhilu Lai
2025	J	`jnl`	Transforming physics-informed machine learning to convex optimization. Eng. Appl. Artif. Intell. Letian Yi, Siyuan Yang, Ying Cui, Zhilu Lai
2024	J	`jnl`	Harnessing Scale and Physics: A Multi-Graph Neural Operator Framework for PDEs on Arbitrary Geometries. CoRR Zhihao Li, Haoze Song, Di Xiao, Zhilu Lai, Wei Wang
2024	J	`jnl`	M2NO: Multiresolution Operator Learning with Multiwavelet-based Algebraic Multigrid Method. CoRR Zhihao Li, Zhilu Lai, Xiaobo Wang, Wei Wang
2024	J	`jnl`	Parameter estimation of structural dynamics with neural operators enabled surrogate modeling. CoRR Mingyuan Zhou, Haoze Song, Wenjing Ye, Wei Wang, Zhilu Lai
2024	J	`jnl`	Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data. CoRR Mingyuan Zhou, Xudong Jian, Ye Xia, Zhilu Lai
2023	J	`jnl`	Discussing the Spectra of Physics-Enhanced Machine Learning via a Survey on Structural Mechanics Applications. CoRR Marcus Haywood-Alexander, Wei Liu, Kiran Bacsa, Zhilu Lai, Eleni N. Chatzi
2022	J	`jnl`	Neural Extended Kalman Filters for Learning and Predicting Dynamics of Structural Systems. CoRR Wei Liu, Zhilu Lai, Kiran Bacsa, Eleni N. Chatzi
2022	J	`jnl`	Neural Modal ODEs: Integrating Physics-based Modeling with Neural ODEs for Modeling High Dimensional Monitored Structures. CoRR Zhilu Lai, Wei Liu, Xudong Jian, Kiran Bacsa, Limin Sun, Eleni N. Chatzi
2021	J	`jnl`	Physics-guided Deep Markov Models for Learning Nonlinear Dynamical Systems with Uncertainty. CoRR Wei Liu, Zhilu Lai, Kiran Bacsa, Eleni N. Chatzi
2016	J	`jnl`	A Computationally Efficient Algorithm for Real-Time Tracking the Abrupt Stiffness Degradations of Structural Elements. Comput. Aided Civ. Infrastructure Eng. Ying Lei, Huan Zhou, Zhilu Lai