Textflow: Towards better understanding of evolving topics in text W Cui, S Liu, L Tan, C Shi, Y Song, Z Gao, H Qu, X Tong IEEE transactions on visualization and computer graphics 17 (12), 2412-2421, 2011 | 527 | 2011 |
Scalable linear algebra on a relational database system S Luo, ZJ Gao, M Gubanov, LL Perez, C Jermaine ACM SIGMOD Record 47 (1), 24-31, 2018 | 146 | 2018 |
A comparison of platforms for implementing and running very large scale machine learning algorithms Z Cai, ZJ Gao, S Luo, LL Perez, Z Vagena, C Jermaine Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014 | 75 | 2014 |
Declarative recursive computation on an rdbms, or, why you should use a database for distributed machine learning D Jankov, S Luo, B Yuan, Z Cai, J Zou, C Jermaine, ZJ Gao arXiv preprint arXiv:1904.11121, 2019 | 66 | 2019 |
Tracking and connecting topics via incremental hierarchical dirichlet processes ZJ Gao, Y Song, S Liu, H Wang, H Wei, Y Chen, W Cui 2011 IEEE 11th International Conference on Data Mining, 1056-1061, 2011 | 56 | 2011 |
The BUDS language for distributed bayesian machine learning ZJ Gao, S Luo, LL Perez, C Jermaine Proceedings of the 2017 ACM International Conference on Management of Data …, 2017 | 28 | 2017 |
Declarative recursive computation on an RDBMS: or, why you should use a database for distributed machine learning D Jankov, S Luo, B Yuan, Z Cai, J Zou, C Jermaine, ZJ Gao ACM SIGMOD Record 49 (1), 43-50, 2020 | 22 | 2020 |
Declarative Parameterizations of User-Defined Functions for Large-Scale Machine Learning and Optimization ZJ Gao, N Pansare, C Jermaine IEEE Transactions on Knowledge and Data Engineering, 2018 | 12 | 2018 |
Biclustering-driven ensemble of Bayesian belief network classifiers for underdetermined problems T Pansombut, W Hendrix, ZJ Gao, BE Harrison, NF Samatova Proceedings of the Twenty-Second international joint conference on …, 2011 | 10 | 2011 |
Hybrid: A large-scale linear-relational database management system M Gubanov, C Jermaine, Z Gao, S Luo MIT Annual DB Conference, 2016 | 8 | 2016 |
Distributed algorithms for computing very large thresholded covariance matrices ZJ Gao, C Jermaine ACM Transactions on Knowledge Discovery from Data (TKDD) 11 (2), 1-25, 2016 | 1 | 2016 |
Computer Systems for Distributed Machine Learning ZJ Gao Rice University, 2018 | | 2018 |