Li, Xinyu

Imbalanced data fault diagnosis of rotating machinery using synthetic oversampling and feature learning

Zhang, Y., Li, X., Gao, L., Wang, L., & Wen, L. (2018) · Journal of Manufacturing Systems

Machine Fault Diagnosis TechniquesImbalanced Data Classification Techniques

Cited by 226

Unsupervised Image Anomaly Detection and Segmentation Based on Pretrained Feature Mapping

Wan, Q., Gao, L., Li, X., & Wen, L. (2023) · IEEE Transactions on Industrial Informatics

Industrial Vision Systems and Defect DetectionAnomaly Detection Techniques and Applications

Cited by 120

Industrial Image Anomaly Localization Based on Gaussian Clustering of Pretrained Feature

Wan, Q., Gao, L., Li, X., & Wen, L. (2022) · IEEE Transactions on Industrial Electronics

Industrial Vision Systems and Defect DetectionAnomaly Detection Techniques and Applications

Cited by 94

FingerPing: Recognizing Fine-grained Hand Poses using Active Acoustic On-body Sensing

Zhang, C., Xue, Q., Waghmare, A., Meng, R., Jain, S., Han, Y., Li, X., Cunefare, K., Ploetz, T., Starner, T., et al. (2018) · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

Hand Gesture Recognition SystemsTactile and Sensory Interactions

Cited by 82

A New Ensemble Approach based on Deep Convolutional Neural Networks for Steel Surface Defect classification

Chen, W., Gao, Y., Gao, L., & Li, X. (2018) · Procedia CIRP

Industrial Vision Systems and Defect DetectionNon-Destructive Testing Techniques

Cited by 56

Logit Inducing With Abnormality Capturing for Semi-Supervised Image Anomaly Detection

Wan, Q., Gao, L., & Li, X. (2022) · IEEE Transactions on Instrumentation and Measurement

Industrial Vision Systems and Defect DetectionAnomaly Detection Techniques and Applications

Cited by 22

Some new trends of intelligent simulation optimization and scheduling in intelligent manufacturing

Li, X., & Zhang, C. (2020) · Service Oriented Computing and Applications

Scheduling and Optimization AlgorithmsDigital Transformation in Industry

Cited by 6