| Pglcm: Efficient parallel mining of closed frequent gradual itemsets TDT Do, A Laurent, A Termier 2010 IEEE International Conference on Data Mining, 138-147, 2010 | 35 | 2010 |
| Coupled poisson factorization integrated with user/item metadata for modeling popular and sparse ratings in scalable recommendation TDT Do, L Cao Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 24 | 2018 |
| PGLCM: efficient parallel mining of closed frequent gradual itemsets TDT Do, A Termier, A Laurent, B Negrevergne, B Omidvar-Tehrani, ... Knowledge and Information Systems 43 (3), 497-527, 2015 | 24 | 2015 |
| Gamma-Poisson dynamic matrix factorization embedded with metadata influence TDT Do, L Cao Advances in Neural Information Processing Systems 31, 2018 | 13 | 2018 |
| Metadata-dependent infinite poisson factorization for efficiently modelling sparse and large matrices in recommendation TDT Do, L Cao IJCAI International Joint Conference on Artificial Intelligence, 2018 | 8 | 2018 |
| PlantFuncSSR: integrating first and next generation transcriptomics for mining of SSR-functional domains markers G Sablok, AJ Pérez-Pulido, T Do, TY Seong, CS Casimiro-Soriguer, ... Frontiers in plant science 7, 878, 2016 | 5 | 2016 |
| Answer Keyword Generation for Community Question Answering by Multiaspect Gamma–Poisson Matrix Completion Q Liu, TDT Do, L Cao IEEE Intelligent Systems 36 (4), 35-47, 2020 | 4 | 2020 |
| Non-IID latent variable models TDT Do | | 2019 |
| Supplementary for Gamma-Poisson Dynamic Matrix Factorization Embedded with Metadata Influence TDT Do, L Cao | | |
| IJCAI2019 tutorial: Non-IID Learning of Complex Data and Behaviors L Cao, TDT Do, C Zhu | | |
| Nonparametric Bayesian Coupling Metadata Models with Applications TDT Do | | |
| Non-IID Learning L Cao, G Pang, L Hu, C Zhu, TDT Do, S Jian | | |
Longbing CaoDistinguished Chair Professor in AI & ARC Future Fellow (Level 3), Macquarie UniversityVerified email at mq.edu.au
