| Training deep neural networks on imbalanced data sets S Wang, W Liu, J Wu, L Cao, Q Meng, PJ Kennedy 2016 international joint conference on neural networks (IJCNN), 4368-4374, 2016 | 603 | 2016 |
| Relational autoencoder for feature extraction Q Meng, D Catchpoole, D Skillicom, PJ Kennedy 2017 International joint conference on neural networks (IJCNN), 364-371, 2017 | 303 | 2017 |
| L-SHADE-E: Ensemble of two differential evolution algorithms originating from L-SHADE X Wang, C Li, J Zhu, Q Meng Information Sciences 552, 201-219, 2021 | 43 | 2021 |
| Scholarly paper recommendation based on social awareness and folksonomy NY Asabere, F Xia, Q Meng, F Li, H Liu International Journal of Parallel, Emergent and Distributed Systems 30 (3 …, 2015 | 37 | 2015 |
| Dynamic island model based on spectral clustering in genetic algorithm Q Meng, J Wu, J Ellis, PJ Kennedy 2017 international joint conference on neural networks (IJCNN), 1724-1731, 2017 | 19 | 2017 |
| Discovering influential authors in heterogeneous academic networks by a co-ranking method Q Meng, PJ Kennedy Proceedings of the 22nd ACM international conference on information …, 2013 | 18 | 2013 |
| DBNorm: normalizing high-density oligonucleotide microarray data based on distributions Q Meng, D Catchpoole, D Skillicorn, PJ Kennedy BMC bioinformatics 18, 1-11, 2017 | 17 | 2017 |
| Community detection on heterogeneous networks by multiple semantic-path clustering Q Meng, S Tafavogh, PJ Kennedy 2014 6th International Conference on Computational Aspects of Social …, 2014 | 16 | 2014 |
| Using field of research codes to discover research groups from co-authorship networks Q Meng, PJ Kennedy 2012 IEEE/ACM International Conference on Advances in Social Networks …, 2012 | 8 | 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 | 7 | 2018 |
| Determining the number of clusters in co-authorship networks using social network theory Q Meng, PJ Kennedy 2012 Second International Conference on Cloud and Green Computing, 337-343, 2012 | 6 | 2012 |
| 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 | 5 | 2018 |
| Automated Quantitative and@ ualitative Analysis of the Whole Slide Images of Neuroblastoma Tumour for making a prognosis decision S Tafavogh, Q Meng, DR Catchpoole, PJ Kennedy Proceedings of the IASTED 11th International Conference on Biomedical …, 2014 | 4 | 2014 |
| Survey on spectral clustering and its applications in social networks Q Meng, PJ Kennedy Jisuanji Gongcheng yu Yingyong(Computer Engineering and Applications) 49 (3 …, 2013 | 3 | 2013 |
| 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 |
| Using network evolution theory and singular value decomposition method to improve accuracy of link prediction in social networks Q Meng, PJ Kennedy Proceedings of the Tenth Australasian Data Mining Conference-Volume 134, 175-181, 2012 | 2 | 2012 |
| Entangled Quantum Neural Network Q Meng, J Zhang, Z Li, M Li, L Cui Quantum Computing: A Shift from Bits to Qubits, 245-262, 2023 | 1 | 2023 |
| 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 |
| DBNorm: normalizing high-density oligonucleotide microarray data based on distributions D Catchpoole, P Kennedy, Q Meng, D Skillicorn BioMed Central Ltd., 2017 | | 2017 |
| Insights from using a subject specific Facebook group for student engagement and learning A Gardner, K Willey, Q Meng 6th Research in Engineering Education Symposium: Translating Research into …, 2015 | | 2015 |
