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Kai Zhao

Affiliations:
  • Google Inc., New York, NY, USA
  • Oregon State University, School of Electrical Engineering and Computer Science, Corvallis, OR, USA (PhD 2017)
  • Microsoft Research, Redmond, WA, USA (2014)
  • IBM T.J. Watson Research Center, Yorktown Heights, NY, USA (2013)
  • City University of New York, NY, USA (2010 - 2015)


According to our database1, Kai Zhao authored at least 16 papers between 2013 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2019
LinearFold: linear-time approximate RNA folding by 5'-to-3' dynamic programming and beam search.
[BibTeX]
[DOI]
Liang Huang
,
He Zhang
,
Dezhong Deng
,
Kai Zhao
,
Kaibo Liu
,
David A. Hendrix
,
David H. Mathews
Bioinform., 2019

2017
OSU Multimodal Machine Translation System Report.
[BibTeX]
[DOI]
Mingbo Ma
,
Dapeng Li
,
Kai Zhao
,
Liang Huang
Proceedings of the Second Conference on Machine Translation, 2017

Jointly Trained Sequential Labeling and Classification by Sparse Attention Neural Networks.
[BibTeX]
[DOI]
Mingbo Ma
,
Kai Zhao
,
Liang Huang
,
Bing Xiang
,
Bowen Zhou
Proceedings of the Interspeech 2017, 2017

Joint Syntacto-Discourse Parsing and the Syntacto-Discourse Treebank.
[BibTeX]
[DOI]
Kai Zhao
,
Liang Huang
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

When to Finish? Optimal Beam Search for Neural Text Generation (modulo beam size).
[BibTeX]
[DOI]
Liang Huang
,
Kai Zhao
,
Mingbo Ma
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016
Textual Entailment with Structured Attentions and Composition.
[BibTeX]
[DOI]
Kai Zhao
,
Liang Huang
,
Mingbo Ma
Proceedings of the COLING 2016, 2016

2015
Type-Driven Incremental Semantic Parsing with Polymorphism.
[BibTeX]
[DOI]
Kai Zhao
,
Liang Huang
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Search-Aware Tuning for Hierarchical Phrase-based Decoding.
[BibTeX]
[DOI]
Feifei Zhai
,
Liang Huang
,
Kai Zhao
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Scalable Large-Margin Structured Learning: Theory and Algorithms.
[BibTeX]
[DOI]
Liang Huang
,
Kai Zhao
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
Hierarchical MT Training using Max-Violation Perceptron.
[BibTeX]
[DOI]
Kai Zhao
,
Liang Huang
,
Haitao Mi
,
Abraham Ittycheriah
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Scalable Large-Margin Structured Learning: Theory and Algorithms.
[BibTeX]
[DOI]
Liang Huang
,
Kai Zhao
,
Lemao Liu
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013
Minibatch and Parallelization for Online Large Margin Structured Learning.
[BibTeX]
[DOI]
Kai Zhao
,
Liang Huang
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

Optimal Incremental Parsing via Best-First Dynamic Programming.
[BibTeX]
[DOI]
Kai Zhao
,
James Cross
,
Liang Huang
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Online Learning for Inexact Hypergraph Search.
[BibTeX]
[DOI]
Hao Zhang
,
Liang Huang
,
Kai Zhao
,
Ryan T. McDonald
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Max-Violation Perceptron and Forced Decoding for Scalable MT Training.
[BibTeX]
[DOI]
Heng Yu
,
Liang Huang
,
Haitao Mi
,
Kai Zhao
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Efficient Implementation of Beam-Search Incremental Parsers.
[BibTeX]
[DOI]
Yoav Goldberg
,
Kai Zhao
,
Liang Huang
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013


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