Guansong Pang

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Coauteurs

Chunhua ShenZhejiang UniversityAdresse e-mail validée de zju.edu.cn
Longbing CaoDistinguished Chair Professor in AI & ARC Future Fellow (Level 3), Macquarie UniversityAdresse e-mail validée de mq.edu.au
Anton van den HengelDirector of the Centre for Augmented Reasoning at AIML.Adresse e-mail validée de adelaide.edu.au
Yu TianHarvard UniversityAdresse e-mail validée de meei.harvard.edu
Gustavo CarneiroProfessor of AI and Machine Learning, University of SurreyAdresse e-mail validée de surrey.ac.uk
Ling Chenuniversity of technology sydneyAdresse e-mail validée de uts.edu.au
Xiao BaiProfessor of Computer Science, Beihang UniversityAdresse e-mail validée de buaa.edu.cn
Cheng YanBeihang UniversityAdresse e-mail validée de buaa.edu.cn
Huan LiuRegents Professor, Arizona State UniversityAdresse e-mail validée de asu.edu
Jianpeng ZhangAlibaba DAMO Academy; Zhejiang UniversityAdresse e-mail validée de alibaba-inc.com
Choubo DingThe University of AdelaideAdresse e-mail validée de adelaide.edu.au
Hongzuo XuNational University of Defense TechnologyAdresse e-mail validée de nudt.edu.cn
yuyuan liuUniversity of AdelaideAdresse e-mail validée de student.adelaide.edu.au
Kai Ming TingNanjing UniversityAdresse e-mail validée de nju.edu.cn
Charu AggarwalDistinguished Research Staff Member, IBM T. J. Watson Research CenterAdresse e-mail validée de us.ibm.com
David AlbrechtHead of Digital Technology, John Monash Science SchoolAdresse e-mail validée de monash.edu
Yanning ZhangNorthwestern Polytechnical UniversityAdresse e-mail validée de nwpu.edu.cn
Jiawen ZhuSingapore Management UniversityAdresse e-mail validée de smu.edu.sg
Edwin HancockEmeritus Professor, Department of Computer Science, University of York, UKAdresse e-mail validée de cs.york.ac.uk
Christopher LeckieProfessor, Computing and Information Systems, The University of MelbourneAdresse e-mail validée de unimelb.edu.au

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Guansong Pang

Assistant Professor of Computer Science, Singapore Management University

Adresse e-mail validée de smu.edu.sg - Page d'accueil

Machine Learning Data Mining Computer Vision Anomaly Detection Open-world Learning


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Deep Learning for Anomaly Detection: A Review G Pang, C Shen, L Cao, AVD Hengel ACM Computing Surveys (CSUR) 54 (2), 1-38, 2021	1766	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	884*	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	401	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	326	2019
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	247	2021
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	216	2020
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	213	2018
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	191	2021
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	105*	2021
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	99*	2022
Deep weakly-supervised anomaly detection G Pang, C Shen, H Jin, A van den Hengel Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023	98*	2023
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	74	2016
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	70	2021
Catching both gray and black swans: Open-set supervised anomaly detection C Ding, G Pang, C Shen Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022	67	2022
Explainable deep few-shot anomaly detection with deviation networks G Pang, C Ding, C Shen, A Hengel arXiv preprint arXiv:2108.00462, 2021	67	2021
Deep isolation forest for anomaly detection H Xu, G Pang, Y Wang, Y Wang IEEE Transactions on Knowledge and Data Engineering, 2023	64	2023
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	64	2015
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	60	2018
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	53	2016
Deep graph-level anomaly detection by glocal knowledge distillation R Ma, G Pang, L Chen, A van den Hengel Proceedings of the fifteenth ACM international conference on web search and …, 2022	52	2022

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