A steel surface defect inspection approach towards smart industrial monitoring. - Ruiyang Hao; Bingyu Lu; Ying Cheng 001; Xiu Li 001; Biqing Huang (J. Intell. Manuf., 2021)

Deep-learning-based anomaly detection for lace defect inspection employing videos in production line. - Bingyu Lu; Ding Xu 003; Biqing Huang (Adv. Eng. Informatics, 2022)

Deep Adversarial Data Augmentation for Fabric Defect Classification With Scarce Defect Data. - Bingyu Lu; Meng Zhang 039; Biqing Huang (IEEE Trans. Instrum. Meas., 2022)

A Multiscale Convolutional Registration Network for Defect Inspection on Periodic Lace Surfaces. - Ding Xu 003; Bingyu Lu; Biqing Huang (IEEE Trans. Instrum. Meas., 2022)

Deep learning assisted high resolution microscopy image processing for phase segmentation in functional composite materials. - Ganesh Raghavendran; Bing Han; Fortune Adekogbe; Shuang Bai; Bingyu Lu; William Wu; Minghao Zhang; Ying Shirley Meng (CoRR, 2024)

A texture-aware one-stage fabric defect detection network with adaptive feature fusion and multi-task training. - Bingyu Lu; Biqing Huang (J. Intell. Manuf., 2024)

Metal Surface Defect Detection Method Based on Improved Cascade R-CNN. - Yani Wang; Xiang Wang; Ruiyang Hao; Bingyu Lu; Biqing Huang (J. Comput. Inf. Sci. Eng., 2024)