Guansong Pang
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
2352012
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
382016
A generalized cluster centroid based classifier for text categorization
G Pang, S Jiang
Information Processing & Management 49 (2), 576–586, 2013
352013
CenKNN: a scalable and effective text classifier
G Pang, H Jin, S Jiang
Data Mining and Knowledge Discovery 29 (3), 593-625, 2015
282015
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
242016
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
232018
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
202018
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
202017
A survey of text classification techniques
G Pang, S Jiang
Information Studies: Theory & Application 35 (02), 123-128, 2012
19*2012
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
152017
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
152015
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
142017
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
132016
An Enhanced Chameleon Clustering Algorithm
S Jiang, G Pang, L Zhang
Journal of Chinese Computer Systems 8, 036, 2010
12*2010
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
112019
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
72019
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
42010
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
32013
Deep Weakly-supervised Anomaly Detection
G Pang, C Shen, H Jin, A van den Hengel
arXiv preprint arXiv:1910.13601, 2019
22019
Learning transferable deep convolutional neural networks for the classification of bacterial virulence factors
D Zheng, G Pang, B Liu, L Chen, J Yang
Bioinformatics, 2020
12020
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