Guansong Pang - Google Scholar

Cited by

	All	Since 2015
Citations	620	549
h-index	13	13
i10-index	16	15

140

105

20112012201320142015201620172018201920202 16 22 26 45 60 66 102 136 139

Co-authors

Longbing CaoUniversity of Technology Sydney, AustraliaVerified email at uts.edu.au
Chunhua ShenSchool of Computer Science, The University of AdelaideVerified email at adelaide.edu.au
Ling Chenuniversity of technology sydneyVerified email at uts.edu.au
Huan LiuProfessor of Computer Science and Engineering, Arizona State UniversityVerified email at asu.edu
Huidong JinData61 CSIRO AustraliaVerified email at csiro.it
Anton van den HengelDirector, Australian Institute for Machine Learning, UoA | Director of Applied Science, AmazonVerified email at adelaide.edu.au
Yutong XieNorthwestern Polytechnical UniversityVerified email at mail.nwpu.edu.cn
Yong XiaNorthwestern Polytechnical UniversityVerified email at nwpu.edu.cn
Songlei JianNUDTVerified email at nudt.edu.cn
David AlbrechtSenior Lecturer, Monash UniversityVerified email at monash.edu
Kai Ming TingNanjing UniversityVerified email at nju.edu.cn
Yi LiUniversity of California, IrvineVerified email at uci.edu
Jianpeng ZhangNorthwestern Polytechnical UniversityVerified email at mail.nwpu.edu.cn
Defu Lian 连德富Research Professor, University of Science and Technology of ChinaVerified email at ustc.edu.cn
Xiao BaiProfessor of Computer Science, Beihang UniversityVerified email at buaa.edu.cn
Jun ZhouSchool of Information and Communication Technology, Griffith UniversityVerified email at griffith.edu.au
Edwin HancockEmeritus Professor, Department of Computer Science, University of York, UKVerified email at cs.york.ac.uk
Dandan Zhengphd candidate, Institute of Pathogen Biology, Chinese Academy of Medical Sciences (CAMS&PUMC)Verified email at adelaide.edu.au
Verjans JohanSouth Australian Health and Medical Research InstituteVerified email at sahmri.com
Zhibin LiaoAustralian Institude for Machine Learning, University of AdelaideVerified email at adelaide.edu.au

Guansong Pang

University of Adelaide

Verified email at adelaide.edu.au - Homepage

Data Mining Machine Learning Anomaly Detection Outlier Detection


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	240	2012
Viral Pneumonia Screening on Chest X-ray Images Using Confidence-Aware Anomaly Detection J Zhang, Y Xie, Z Liao, G Pang, J Verjans, W Li, Z Sun, J He, Y Li, C Shen, ...	49*	2020
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	40	2016
A generalized cluster centroid based classifier for text categorization G Pang, S Jiang Information Processing & Management 49 (2), 576–586, 2013	35	2013
CenKNN: a scalable and effective text classifier G Pang, H Jin, S Jiang Data Mining and Knowledge Discovery 29 (3), 593-625, 2015	29	2015
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	28	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	25	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	24	2018
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	22	2017
A survey of text classification techniques G Pang, S Jiang Information Studies: Theory & Application 35 (02), 123-128, 2012	19*	2012
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	17	2015
Embedding-based Representation of Categorical Data by Hierarchical Value Coupling Learning S Jian, L Cao, G Pang, K Lu, H Gao Proceedings of the Twenty-Sixth International Joint Conference on Artificial …, 2017	15	2017
Selective value coupling learning for detecting outliers in high-dimensional categorical data G Pang, H Xu, L Cao, W Zhao Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017	14	2017
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	13	2019
ZERO++: Harnessing the power of zero appearances to detect anomalies in large-scale data sets G Pang, KM Ting, D Albrecht, H Jin Journal of Artificial Intelligence Research 57, 593-620, 2016	13	2016
An Enhanced Chameleon Clustering Algorithm S Jiang, G Pang, L Zhang Journal of Chinese Computer Systems 8, 036, 2010	12*	2010
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	8	2019
A multi-level clustering approach based on noun phrases for search results G Pang, L Zhang, S Jiang, L Kuang, M Wu Journal of Shandong University (Natural Science) 7, 009, 2010	4	2010
Deep Weakly-supervised Anomaly Detection G Pang, C Shen, H Jin, A van den Hengel arXiv preprint arXiv:1910.13601, 2019	3	2019
A Simple Integration of Social Relationship and Text Data for Identifying Potential Customers in Microblogging G Pang, S Jiang, D Chen Advanced Data Mining and Applications, 397-409, 2013	3	2013

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Upload PDF

Follow this author

Cited by

Co-authors