Reliability Analysis of Complex Multi-State System Based on Universal Generating Function and Bayesian Network. - Xu Liu 021; Wen Yao; Xiaohu Zheng; Yingchun Xu (CoRR, 2022)

Temperature field inversion of heat-source systems via physics-informed neural networks. - Xu Liu 021; Wei Peng 010; Zhiqiang Gong; Weien Zhou; Wen Yao (Eng. Appl. Artif. Intell., 2022)

Self-adaptive loss balanced Physics-informed neural networks. - Zixue Xiang; Wei Peng 010; Xu Liu 021; Wen Yao (Neurocomputing, 2022)

A novel meta-learning initialization method for physics-informed neural networks. - Xu Liu 021; Xiaoya Zhang; Wei Peng 010; Weien Zhou; Wen Yao (Neural Comput. Appl., 2022)

Bayesian physics-informed extreme learning machine for forward and inverse PDE problems with noisy data. - Xu Liu 021; Wen Yao; Wei Peng 010; Weien Zhou (Neurocomputing, 2023)

Solving spatiotemporal partial differential equations with Physics-informed Graph Neural Network. - Zixue Xiang; Wei Peng 010; Wen Yao; Xu Liu 021; Xiaoya Zhang (Appl. Soft Comput., 2024)