Issue Date | Title | Author(s) |
2022-08-14 | ANDEA: Anomaly and Novelty Detection, Explanation, and Accommodation | Pang, G; Li, J; Van Den Hengel, A; Cao, L; Dietterich, TG |
2019-05-01 | CURE: Flexible Categorical Data Representation by Hierarchical Coupling Learning | Jian, S; Pang, G; Cao, L; Lu, K; Gao, H |
2022-02-11 | Deep graph-level anomaly detection by glocal knowledge distillation | Ma, R; Pang, G; Chen, L; Van Den Hengel, A |
2021-03 | Deep Learning for Anomaly Detection | Pang, G; Shen, C; Cao, L; Hengel, AVD |
2021-03-08 | Deep Learning for Anomaly Detection: Challenges, Methods, and Opportunities | Pang, G; Cao, L; Aggarwal, C |
2017-01-01 | Embedding-based representation of categorical data by hierarchical value coupling learning | Jian, S; Cao, L; Pang, G; Lu, K; Gao, H |
2023-01-01 | Graph-Level Anomaly Detection via Hierarchical Memory Networks | Niu, C; Pang, G; Chen, L |
2019-02-01 | Health service use in the older person with complex health needs. | Bartlett, M; Wang, J; Hay, L; Pang, G |
2021-04-01 | Homophily outlier detection in non-IID categorical data | Pang, G; Cao, L; Chen, L |
2023-11-06 | HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks | Li, J; Pang, G; Chen, L; Namazi-Rad, M-R |
2017-01-01 | Learning homophily couplings from non-IID data for joint feature selection and noise-resilient outlier detection | Pang, G; Cao, L; Chen, L; Liu, H |
2018-07-19 | Learning representations of ultrahigh-dimensional data for random distance-based outlier detection | Pang, G; Chen, L; Cao, L; Liu, H |
2016-01-29 | LeSiNN: Detecting Anomalies by Identifying Least Similar Nearest Neighbours | Pang, G; Ting, KM; Albrecht, D |
2016-01-01 | Outlier detection in complex categorical data by modelling the feature value couplings | Pang, G; Cao, L; Chen, L |
2017-11-06 | Selective value coupling learning for detecting outliers in high-dimensional categorical data | Pang, G; Xu, H; Cao, L; Zhao, W |
2018-01-01 | 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 |
2021-08-14 | Toward Deep Supervised Anomaly Detection | Pang, G; van den Hengel, A; Shen, C; Cao, L |
2017-01-31 | Unsupervised feature selection for outlier detection by modelling hierarchical value-feature couplings | Pang, G; Cao, L; Chen, L; Liu, H |
2016-12-01 | ZERO++: Harnessing the power of zero appearances to detect anomalies in large-scale data sets | Pang, G; Ting, KM; Albrecht, D; Jin, H |