An efficient transient temperature monitoring of fused filament fabrication process with physics-based compressive sensing. - Yanglong Lu; Yan Wang 029 (IISE Trans., 2019)

Physics-Based Compressive Sensing to Enable Digital Twins of Additive Manufacturing Processes. - Yanglong Lu; Eduard Shevtshenko; Yan Wang 029 (J. Comput. Inf. Sci. Eng., 2021)

LitCall: learning implicit topology for CNN-based aortic landmark localization. - Zhangxing Bian; Jiayang Zhong; Yanglong Lu; Chuck R. Hatt; Nicholas S. Burris (Image Processing, 2022)

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 (Computer-Aided Diagnosis, 2023)

Physics-Constrained Bayesian Neural Network for Bias and Variance Reduction. - Luka Malashkhia; Dehao Liu; Yanglong Lu; Yan Wang 029 (J. Comput. Inf. Sci. Eng., 2023)

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)

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)

Multiscale Channel Attention-Driven Graph Dynamic Fusion Learning Method for Robust Fault Diagnosis. - Xin Zhang; Jie Liu 017; Xi Zhang; Yanglong Lu (IEEE Trans. Ind. Informatics, 2024)

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)

Solving spatial-temporal PDEs with arbitrary boundary conditions using physics-constrained convolutional recurrent neural networks. - Guangfa Li; Yanglong Lu; Dehao Liu (Neurocomputing, 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)

Black-box domain adaptation for cross-domain on-device machinery fault diagnosis via hierarchical debiased self-supervised learning. - Mengliang Zhu; Jie Liu 017; Yanglong Lu; Zhongxu Hu; Li Yuan; Kaibo Zhou (Knowl. Based Syst., 2025)