Pang, Guansong

Viral pneumonia screening on chest X-rays using confidence-aware anomaly detection

Zhang, J., Xie, Y., Pang, G., Liao, Z., Verjans, J., Li, W., Sun, Z., He, J., Li, Y., Shen, C., et al. (2021) · IEEE Transactions on Medical Imaging

COVID-19 diagnosis using AIAnomaly Detection Techniques and Applications

Cited by 389

Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects

Zhang, K., Wen, Q., Zhang, C., Cai, R., Jin, M., Liu, Y., Zhang, J. Y., Liang, Y., Pang, G., Song, D., et al. (2024) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Time Series Analysis and ForecastingDomain Adaptation and Few-Shot Learning

Cited by 295

Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection

Ding, C., Pang, G., & Shen, C. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Anomaly Detection Techniques and ApplicationsAdversarial Robustness in Machine Learning

Cited by 197

Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation

Ma, R., Pang, G., Chen, L., & van den Hengel, A. (2022) · Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining

Advanced Graph Neural NetworksAnomaly Detection Techniques and Applications

Cited by 86

Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images

Tian, Y., Pang, G., Liu, F., Chen, Y., Shin, S. H., Verjans, J. W., Singh, R., & Carneiro, G. (2021) · Lecture Notes in Computer Science

Anomaly Detection Techniques and ApplicationsMedical Image Segmentation Techniques

Cited by 77

Sparse Modeling-Based Sequential Ensemble Learning for Effective Outlier Detection in High-Dimensional Numeric Data

Pang, G., Cao, L., Chen, L., Lian, D., & Liu, H. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence

Anomaly Detection Techniques and ApplicationsAdvanced Statistical Methods and Models

Cited by 59

Unsupervised Feature Selection for Outlier Detection by Modelling Hierarchical Value-Feature Couplings

Pang, G., Cao, L., Chen, L., & Liu, H. (2016) · 2016 IEEE 16th International Conference on Data Mining (ICDM)

Anomaly Detection Techniques and ApplicationsMachine Learning and Data Classification

Cited by 43

Toward Explainable Deep Anomaly Detection

Pang, G., & Aggarwal, C. (2021) · Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining

Explainable Artificial Intelligence (XAI)Anomaly Detection Techniques and Applications

Cited by 23