Using Variational Inference and MapReduce to Scale Topic Modeling - Ke Zhai 001; Jordan L. Boyd-Graber; Sebastian Bruch 001 (CoRR, 2011)

Modeling Images using Transformed Indian Buffet Processes. - Ke Zhai 001; Yuening Hu; Jordan L. Boyd-Graber; Sinead Williamson (ICML, 2012)

Mr. LDA: a flexible large scale topic modeling package using variational inference in MapReduce. - Ke Zhai 001; Jordan L. Boyd-Graber; Sebastian Bruch 001; Mohamad L. Alkhouja (WWW, 2012)

Online Latent Dirichlet Allocation with Infinite Vocabulary. - Ke Zhai 001; Jordan L. Boyd-Graber (ICML (1), 2013)

Polylingual Tree-Based Topic Models for Translation Domain Adaptation. - Yuening Hu; Ke Zhai 001; Vladimir Eidelman; Jordan L. Boyd-Graber (ACL (1), 2014)

Discovering Latent Structure in Task-Oriented Dialogues. - Ke Zhai 001; Jason D. Williams (ACL (1), 2014)

Online Adaptor Grammars with Hybrid Inference. - Ke Zhai 001; Jordan L. Boyd-Graber; Shay B. Cohen (Trans. Assoc. Comput. Linguistics, 2014)

Models, Inference, and Implementation for Scalable Probabilistic Models of Text. - Ke Zhai 001 (2014)

Recognizing Salient Entities in Shopping Queries. - Zornitsa Kozareva; Qi Li; Ke Zhai 001; Weiwei Guo (ACL (2), 2016)

Query to Knowledge: Unsupervised Entity Extraction from Shopping Queries using Adaptor Grammars. - Ke Zhai 001; Zornitsa Kozareva; Yuening Hu; Qi Li; Weiwei Guo (SIGIR, 2016)

Adaptive Dropout with Rademacher Complexity Regularization. - Ke Zhai 001; Huan Wang (ICLR (Poster), 2018)