Yanglong Lu

According to our database, Yanglong Lu authored at least 12 papers between 2019 and 2025.

Collaborative distances:

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

2025

Black-box domain adaptation for cross-domain on-device machinery fault diagnosis via hierarchical debiased self-supervised learning.

Mengliang Zhu, Jie Liu, Yanglong Lu, Zhongxu Hu, Li Yuan, Kaibo Zhou

Knowl. Based Syst., 2025

Finite-Volume Physics-Informed U-Net for Flow Field Reconstruction With Sparse Data.

Tong Zhu, Dehao Liu, Yanglong Lu

J. Comput. Inf. Sci. Eng., 2025

Solving spatial-temporal PDEs with arbitrary boundary conditions using physics-constrained convolutional recurrent neural networks.

Guangfa Li, Yanglong Lu, Dehao Liu

Neurocomputing, 2025

Self-supervised graph feature enhancement and scale attention for mechanical signal node-level representation and diagnosis.

Xin Zhang, Jie Liu, Xi Zhang, Yanglong Lu

Adv. Eng. Informatics, 2025

2024

Multiscale Channel Attention-Driven Graph Dynamic Fusion Learning Method for Robust Fault Diagnosis.

Xin Zhang, Jie Liu, Xi Zhang, Yanglong Lu

IEEE Trans. Ind. Informatics, September, 2024

Physics-Informed Fully Convolutional Networks for Forward Prediction of Temperature Field and Inverse Estimation of Thermal Diffusivity.

Tong Zhu, Qiye Zheng, Yanglong Lu

J. Comput. Inf. Sci. Eng., 2024

Machine learning-driven high-fidelity ensemble surrogate modeling of Francis turbine unit based on data-model interactive simulation.

Jian Wang, Jie Liu, Yanglong Lu, Haoliang Li, Xin Zhang

Eng. Appl. Artif. Intell., 2024

2023

Physics-Constrained Bayesian Neural Network for Bias and Variance Reduction.

Luka Malashkhia, Dehao Liu, Yanglong Lu, Yan Wang

J. Comput. Inf. Sci. Eng., February, 2023

Fully automated aortic measurements via CNN-based joint segmentation and localization.

Sudeep Katakol, Zhangxing Bian, Yanglong Lu, Greg Spahlinger, Charles R. Hatt, Nicholas S. Burris

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023

2022

LitCall: learning implicit topology for CNN-based aortic landmark localization.

Zhangxing Bian, Jiayang Zhong, Yanglong Lu, Chuck R. Hatt, Nicholas S. Burris

Proceedings of the Medical Imaging 2022: Image Processing, 2022

2021

Physics-Based Compressive Sensing to Enable Digital Twins of Additive Manufacturing Processes.

Yanglong Lu, Eduard Shevtshenko, Yan Wang

J. Comput. Inf. Sci. Eng., February, 2021

2019

An efficient transient temperature monitoring of fused filament fabrication process with physics-based compressive sensing.

Yanglong Lu, Yan Wang

IISE Trans., 2019