Guansong Pang
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Deep Learning for Anomaly Detection: A Review
G Pang, C Shen, L Cao, AVD Hengel
ACM Computing Surveys (CSUR) 54 (2), 1-38, 2021
Viral Pneumonia Screening on Chest X-rays Using Confidence-Aware Anomaly Detection
J Zhang, Y Xie, G Pang, Z Liao, J Verjans, W Li, Z Sun, J He, Y Li, C Shen, ...
IEEE Transactions on Medical Imaging, 2020
An improved K-nearest-neighbor algorithm for text categorization
S Jiang, G Pang, M Wu, L Kuang
Expert Systems with Applications 39 (1), 1503-1509, 2012
Deep anomaly detection with deviation networks
G Pang, C Shen, A van den Hengel
Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019
Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection
G Pang, L Cao, L Chen, H Liu
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
Self-trained Deep Ordinal Regression for End-to-End Video Anomaly Detection
G Pang, C Yan, C Shen, A van den Hengel, X Bai
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
Beyond triplet loss: person re-identification with fine-grained difference-aware pairwise loss
C Yan, G Pang, X Bai, C Liu, X Ning, L Gu, J Zhou
IEEE Transactions on Multimedia 24, 1665-1677, 2021
Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning
Y Tian, G Pang, Y Chen, R Singh, JW Verjans, G Carneiro
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
Outlier detection in complex categorical data by modelling feature value couplings
G Pang, L Cao, L Chen
Proceedings of the 25th International Joint Conference on Artificial …, 2016
Sparse Modeling-based Sequential Ensemble Learning for Effective Outlier Detection in High-dimensional Numeric Data
G Pang, L Cao, L Chen, D Lian, H Liu
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Toward deep supervised anomaly detection: Reinforcement learning from partially labeled anomaly data
G Pang, A van den Hengel, C Shen, L Cao
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
Unsupervised Feature Selection for Outlier Detection by Modelling Hierarchical Value-Feature Couplings
G Pang, L Cao, L Chen, H Liu
2016 IEEE 16th International Conference on Data Mining (ICDM-16), 2016
Learning Homophily Couplings from Non-IID Data for Joint Feature Selection and Noise-Resilient Outlier Detection
G Pang, L Cao, L Chen, H Liu
Proceedings of the Twenty-Sixth International Joint Conference on Artificial …, 2017
Deep Weakly-supervised Anomaly Detection
G Pang, C Shen, H Jin, A van den Hengel
arXiv preprint arXiv:1910.13601, 2019
LeSiNN: Detecting anomalies by identifying least similar nearest neighbours
G Pang, KM Ting, D Albrecht
2015 IEEE international conference on data mining workshop (ICDMW), 623-630, 2015
A generalized cluster centroid based classifier for text categorization
G Pang, S Jiang
Information Processing & Management 49 (2), 576–586, 2013
CURE: Flexible categorical data representation by hierarchical coupling learning
S Jian, G Pang, L Cao, K Lu, H Gao
IEEE Transactions on Knowledge and Data Engineering 31 (5), 853-866, 2019
Deep one-class classification via interpolated gaussian descriptor
Y Chen, Y Tian, G Pang, G Carneiro
Proceedings of the AAAI Conference on Artificial Intelligence 36 (1), 383-392, 2022
CenKNN: a scalable and effective text classifier
G Pang, H Jin, S Jiang
Data Mining and Knowledge Discovery 29 (3), 593-625, 2015
Constrained contrastive distribution learning for unsupervised anomaly detection and localisation in medical images
Y Tian, G Pang, F Liu, Y Chen, SH Shin, JW Verjans, R Singh, G Carneiro
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
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