Guansong Pang

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Chunhua ShenZhejiang UniversityAdresă de e-mail confirmată pe zju.edu.cn
Longbing CaoDistinguished Chair Professor in AI & ARC Future Fellow (Level 3), Macquarie UniversityAdresă de e-mail confirmată pe mq.edu.au
Anton van den HengelDirector of Applied Science at Amazon and Director of the Centre for Augmented Reasoning at AIML.Adresă de e-mail confirmată pe adelaide.edu.au
Yu TianHarvard UniversityAdresă de e-mail confirmată pe meei.harvard.edu
Gustavo CarneiroProfessor of AI and Machine Learning, University of SurreyAdresă de e-mail confirmată pe surrey.ac.uk
Ling Chenuniversity of technology sydneyAdresă de e-mail confirmată pe uts.edu.au
Xiao BaiProfessor of Computer Science, Beihang UniversityAdresă de e-mail confirmată pe buaa.edu.cn
Cheng YanBeihang UniversityAdresă de e-mail confirmată pe buaa.edu.cn
Huan LiuRegents Professor, Arizona State UniversityAdresă de e-mail confirmată pe asu.edu
Jianpeng ZhangAlibaba DAMO AcademyAdresă de e-mail confirmată pe alibaba-inc.com
Choubo DingThe University of AdelaideAdresă de e-mail confirmată pe adelaide.edu.au
yuyuan liuUniversity of AdelaideAdresă de e-mail confirmată pe student.adelaide.edu.au
Hongzuo XuNational University of Defense TechnologyAdresă de e-mail confirmată pe nudt.edu.cn
Kai Ming TingNanjing UniversityAdresă de e-mail confirmată pe nju.edu.cn
Charu AggarwalDistinguished Research Staff Member, IBM T. J. Watson Research CenterAdresă de e-mail confirmată pe us.ibm.com
David AlbrechtHead of Digital Technology, John Monash Science SchoolAdresă de e-mail confirmată pe monash.edu
Edwin HancockEmeritus Professor, Department of Computer Science, University of York, UKAdresă de e-mail confirmată pe cs.york.ac.uk
Christopher LeckieProfessor, Computing and Information Systems, The University of MelbourneAdresă de e-mail confirmată pe unimelb.edu.au
Wray BuntineProfessor, VinUniversityAdresă de e-mail confirmată pe vinuni.edu.vn
Mahsa SalehiSenior Lecturer, Monash UniversityAdresă de e-mail confirmată pe monash.edu

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Guansong Pang

Assistant Professor of Computer Science, Singapore Management University

Adresă de e-mail confirmată pe smu.edu.sg - Pagina de pornire

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


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
Deep Learning for Anomaly Detection: A Review G Pang, C Shen, L Cao, AVD Hengel ACM Computing Surveys (CSUR) 54 (2), 1-38, 2021	1469	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	825*	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	390	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	281	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	193	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	192	2020
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	188	2021
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	179	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	67	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	67	2016
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	66	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	58	2015
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	56	2022
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	56	2018
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	55	2021
Explainable deep few-shot anomaly detection with deviation networks G Pang, C Ding, C Shen, A Hengel arXiv preprint arXiv:2108.00462, 2021	52	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	48	2022
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	48	2017
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	48	2016
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	45	2019

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