Xu Liu

11 papers Journal 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Physics-informed Neural Implicit Flow neural network for parametric PDEs. Neural Networks Zixue Xiang, Wei Peng, Wen Yao, Xu Liu, Xiaoya Zhang
2024	J	`jnl`	A physics-driven sensor placement optimization methodology for temperature field reconstruction. CoRR Xu Liu, Wen Yao, Wei Peng, Zhuojia Fu, Zixue Xiang, Xiaoqian Chen
2024	J	`jnl`	Solving spatiotemporal partial differential equations with Physics-informed Graph Neural Network. Appl. Soft Comput. Zixue Xiang, Wei Peng, Wen Yao, Xu Liu, Xiaoya Zhang
2023	J	`jnl`	Bayesian physics-informed extreme learning machine for forward and inverse PDE problems with noisy data. Neurocomputing Xu Liu, Wen Yao, Wei Peng, Weien Zhou
2022	J	`jnl`	A novel meta-learning initialization method for physics-informed neural networks. Neural Comput. Appl. Xu Liu, Xiaoya Zhang, Wei Peng, Weien Zhou, Wen Yao
2022	J	`jnl`	Bayesian Physics-Informed Extreme Learning Machine for Forward and Inverse PDE Problems with Noisy Data. CoRR Xu Liu, Wen Yao, Wei Peng, Weien Zhou
2022	J	`jnl`	Reliability Analysis of Complex Multi-State System Based on Universal Generating Function and Bayesian Network. CoRR Xu Liu, Wen Yao, Xiaohu Zheng, Yingchun Xu
2022	J	`jnl`	Self-adaptive loss balanced Physics-informed neural networks. Neurocomputing Zixue Xiang, Wei Peng, Xu Liu, Wen Yao
2022	J	`jnl`	Temperature Field Inversion of Heat-Source Systems via Physics-Informed Neural Networks. CoRR Xu Liu, Wei Peng, Zhiqiang Gong, Weien Zhou, Wen Yao
2022	J	`jnl`	Temperature field inversion of heat-source systems via physics-informed neural networks. Eng. Appl. Artif. Intell. Xu Liu, Wei Peng, Zhiqiang Gong, Weien Zhou, Wen Yao
2021	J	`jnl`	A novel meta-learning initialization method for physics-informed neural networks. CoRR Xu Liu, Xiaoya Zhang, Wei Peng, Weien Zhou, Wen Yao