Gao, Liang

A new convolutional neural network-based data-driven fault diagnosis method

Wen, L., Li, X., Gao, L., & Zhang, Y. (2018) · IEEE Transactions on Industrial Electronics

Machine Fault Diagnosis TechniquesFault Detection and Control Systems

Cited by 2,222

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

A Hybrid Battery Equivalent Circuit Model, Deep Learning, and Transfer Learning for Battery State Monitoring

Su, S., Li, W., Mou, J., Garg, A., Gao, L., & Liu, J. (2023) · IEEE Transactions on Transportation Electrification

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 136

Informative knowledge distillation for image anomaly segmentation

Cao, Y., Wan, Q., Shen, W., & Gao, L. (2022) · Knowledge-Based Systems

Anomaly Detection Techniques and ApplicationsIndustrial Vision Systems and Defect Detection

Cited by 130

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

Echelon Utilization of Retired Power Lithium-Ion Batteries: Challenges and Prospects

Wang, N., Garg, A., Su, S., Mou, J., Gao, L., & Li, W. (2022) · Batteries

Extraction and Separation ProcessesBattery Modeling and Management

Cited by 72

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

Sensor-assisted weighted average ensemble model for detecting major depressive disorder

Mahendran, N., Vincent, D. R., Srinivasan, K., Chang, C.-Y., Garg, A., Gao, L., & Reina, D. G. (2019) · Sensors

Artificial Intelligence in HealthcareEmotion and Mood Recognition

Cited by 51

Improved non-maximum suppression for object detection using harmony search algorithm

Song, Y., Pan, Q.-K., Gao, L., & Zhang, B. (2019) · Applied Soft Computing

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 42

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

Numerical and experimental investigation of state of health of Li-ion battery

Sarmah, S. B., Kalita, P., Das, B., Garg, A., Gao, L., Pai, R. K., & Sarma, M. (2020) · International Journal of Green Energy

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 11