| Mr. LDA: A Flexible Large Scale Topic Modeling Package using Variational Inference in MapReduce K Zhai, J Boyd-Graber, N Asadi, ML Alkhouja International Conference on World Wide Web (WWW), 879-888, 2012 | 208 | 2012 |
| Online Latent Dirichlet Allocation with Infinite Vocabulary K Zhai, JL Boyd-graber International Conference on Machine Learning (ICML), 561-569, 2013 | 84 | 2013 |
| Polylingual Tree-Based Topic Models for Translation Domain Adaptation Y Hu, K Zhai, V Eidelman, J Boyd-Graber Association for Computational Linguistics (ACL), 2014 | 78 | 2014 |
| Discovering Latent Structure in Task-Oriented Dialogues K Zhai, JD Williams Association for Computational Linguistics (ACL), 2014 | 55 | 2014 |
| Adaptive Dropout with Rademacher Complexity Regularization K Zhai, H Wang International Conference on Learning Representations (ICLR), 2018 | 27 | 2018 |
| Recognizing salient entities in shopping queries Z Kozareva, Q Li, K Zhai, W Guo Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016 | 25 | 2016 |
| Online Adaptor Grammars with Hybrid Inference K Zhai, J Boyd-Graber, SB Cohen Transactions of the Association for Computational Linguistics (TACL) 2, 465-476, 2014 | 16 | 2014 |
| Modeling Images using Transformed Indian Buffet Processes Y Hu, K Zhai, S Williamson, J Boyd-Graber International Conference of Machine Learning (ICML), 2012 | 16 | 2012 |
| Query to knowledge: Unsupervised entity extraction from shopping queries using adaptor grammars K Zhai, Z Kozareva, Y Hu, Q Li, W Guo Proceedings of the 39th International ACM SIGIR conference on Research and …, 2016 | 14 | 2016 |
| Scalable Community Detection Algorithm with MapReduce Y Chen, C Huang, K Zhai Communication ACM 53, 359-366, 2009 | 14 | 2009 |
| Online topic models with infinite vocabulary K Zhai, J Boyd-Graber International Conference on Machine Learning 9, 2013 | 8 | 2013 |
| Speeding Up Secure Computations via Embedded Caching. K Zhai, WK Ng, AR Herianto, S Han SIAM International Conference on Data Mining (SDM), 461-472, 2009 | 3 | 2009 |
| Models, Inference, and Implementation for Scalable Probabilistic Models of Text K Zhai University of Maryland, 2014 | 1 | 2014 |
| A High-Performance Computing Forecast: Partly Cloudy K Zhai | | |
| Exploring Multiple Feature Spaces for Sentiment Analysis Y Hu, K Zhai, C Huang, T Xu | | |
Jordan Boyd-GraberAssociate Professor, University of MarylandVerified email at umiacs.umd.edu
