| Constrained NMF-based semi-supervised learning for social media spammer detection D Yu, N Chen, F Jiang, B Fu, A Qin Knowledge-Based Systems 125, 64-73, 2017 | 70 | 2017 |
| Improving recommendations by the clustering of tag neighbours R Pan, G Xu, B Fu, P Dolog, Z Wang, M Leginus J. Converg 3 (1), 2012 | 39 | 2012 |
| Point-of-interest recommendations via a supervised random walk algorithm G Xu, B Fu, Y Gu IEEE Intelligent Systems 31 (1), 15-23, 2016 | 28 | 2016 |
| An integrated pruning criterion for ensemble learning based on classification accuracy and diversity B Fu, Z Wang, R Pan, G Xu, P Dolog 7th International Conference on Knowledge Management in Organizations …, 2013 | 20 | 2013 |
| Multi-label learning based on iterative label propagation over graph B Fu, Z Wang, G Xu, L Cao Pattern Recognition Letters 42, 85-90, 2014 | 16 | 2014 |
| Constrained nonnegative matrix factorization-based semi-supervised multilabel learning D Yu, B Fu, G Xu, A Qin International Journal of Machine Learning and Cybernetics 10, 1093-1100, 2019 | 10 | 2019 |
| Deployment of churn prediction model in financial services industry C Chu, G Xu, J Brownlow, B Fu 2016 International Conference on Behavioral, Economic and Socio-cultural …, 2016 | 10 | 2016 |
| Leveraging supervised label dependency propagation for multi-label learning B Fu, G Xu, Z Wang, L Cao 2013 IEEE 13th International Conference on Data Mining, 1061-1066, 2013 | 10 | 2013 |
| Learning tree structure of label dependency for multi-label learning B Fu, Z Wang, R Pan, G Xu, P Dolog Pacific-Asia Conference on Knowledge Discovery and Data Mining, 159-170, 2012 | 9 | 2012 |
| Customer churn prediction in superannuation: a sequential pattern mining approach B Culbert, B Fu, J Brownlow, C Chu, Q Meng, G Xu Databases Theory and Applications: 29th Australasian Database Conference …, 2018 | 6 | 2018 |
| Coupling multiple views of relations for recommendation B Fu, G Xu, L Cao, Z Wang, Z Wu Advances in Knowledge Discovery and Data Mining: 19th Pacific-Asia …, 2015 | 5 | 2015 |
| Cost-sensitive churn prediction in fund management services J Brownlow, C Chu, B Fu, G Xu, B Culbert, Q Meng Database Systems for Advanced Applications: 23rd International Conference …, 2018 | 4 | 2018 |
| A multiple source based transfer learning framework for marketing campaigns J Brownlow, C Chu, G Xu, B Culbert, B Fu, Q Meng 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 2 | 2018 |
| Combining heterogeneous features for time series prediction C Chu, J Brownlow, Q Meng, B Fu, B Culbert, M Zhu, G Xu, X He 2017 International Conference on Behavioral, Economic, Socio-cultural …, 2017 | 1 | 2017 |
| Algorithm of classifier selection for maximizing the margin FU Bin, W Zhihai, W Zhongfeng Journal of Frontiers of Computer Science & Technology 5 (1), 59, 2011 | 1 | 2011 |
| Learning label dependency for multi-label classification B Fu | | 2018 |
| Dynamic Assignment of Base Classifier's Weight in Boosting Method B FU, Z WANG, Z WANG Journal of Guangxi Normal University (Natural Science Edition), 2009 | | 2009 |
| ARC Centre of Excellence in Population Ageing Research Industry Report 2019/2 H Bateman, J Brownlow, B Culbert, C Chu, C Eckert, B Fu, S Thorp | | |
Guandong Xu, PhDChair Professor EduHK, Professor UTSVerified email at uts.edu.au
