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Preview	Issue Date	Title	Author(s)
	2021	Deep learning for anomaly detection: challenges, methods, and opportunities	Pang, G.; Cao, L.; Aggarwal, C.; ACM International Conference on Web Search and Data Mining (WSDM) (8 Mar 2021 - 12 Mar 2021 : virtual online)
	2022	Pixel-Wise Energy-Biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes	Tian, Y.; Liu, Y.; Pang, G.; Liu, F.; Chen, Y.; Carneiro, G.; Avidan, S.; Brostow, G.; Cisse, M.; Farinella, G.M.; Hassner, T.; European Conference on Computer Vision (ECCV) (23 Oct 2022 - 27 Oct 2022 : Tel Aviv, Israel)
	2022	Deep graph-level anomaly detection by glocal knowledge distillation	Ma, R.; Pang, G.; Chen, L.; Van Den Hengel, A.; ACM International Conference on Web Search and Data Mining (21 Feb 2022 - 25 Feb 2022 : Tempe, AZ, USA (Virtual online))
	2020	Self-trained deep ordinal regression for end-to-end video anomaly detection	Pang, G.; Yan, C.; Shen, C.; van den Hengel, A.; Bai, X.; IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (14 Jun 2020 - 19 Jun 2020 : Virtual online)
	2018	Learning representations of ultrahigh-dimensional data for random distance-based outlier detection	Pang, G.; Cao, L.; Chen, L.; Liu, H.; International Conference on Knowledge Discovery and Data Mining (KDD) (19 Aug 2018 - 23 Aug 2018 : London, UK)
	2019	Deep anomaly detection with deviation networks	Pang, G.; Shen, C.; Van Den Hengel, A.; ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD) (4 Aug 2019 - 8 Aug 2019 : Anchorage, AK)
	2020	Heterogeneous univariate outlier ensembles in multidimensional data	Pang, G.; Cao, L.
	2023	Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images	Tian, Y.; Liu, F.; Pang, G.; Chen, Y.; Liu, Y.; Verjans, J.W.; Singh, R.; Carneiro, G.