| 2024 | ADMA | Informative Sample Labeling with Conditional Variational Deep Embedding for Active Learning. | Zhao Li, Qinxue Meng, Haitao Xu, Jiaming Huang, Yangbohan Jiao, Buqing Cao |
| 2018 | ADC | Customer Churn Prediction in Superannuation: A Sequential Pattern Mining Approach. | Ben Culbert, Bin Fu, James Brownlow, Charles Chu, Qinxue Meng, Guandong Xu |
| 2018 | DASFAA | Cost-Sensitive Churn Prediction in Fund Management Services. | James Brownlow, Charles Chu, Bin Fu, Guandong Xu, Ben Culbert, Qinxue Meng |
| 2018 | IJCNN | A Multiple Source based Transfer Learning Framework for Marketing Campaigns. | James Brownlow, Charles Chu, Guandong Xu, Ben Culbert, Bin Fu, Qinxue Meng |
| 2017 | IJCNN | Relational autoencoder for feature extraction. | Qinxue Meng, Daniel R. Catchpoole, David Skillicom, Paul J. Kennedy |
| 2017 | IJCNN | Dynamic island model based on spectral clustering in genetic algorithm. | Qinxue Meng, Jia Wu, John T. Ellis, Paul J. Kennedy |
| 2016 | IJCNN | Training deep neural networks on imbalanced data sets. | Shoujin Wang, Wei Liu, Jia Wu, Longbing Cao, Qinxue Meng, Paul J. Kennedy |
| 2013 | CIKM | Discovering influential authors in heterogeneous academic networks by a co-ranking method. | Qinxue Meng, Paul J. Kennedy |
| 2012 | AusDM | Using network evolution theory and singular value decomposition method to improve accuracy of link prediction in social networks. | Qinxue Meng, Paul J. Kennedy |