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:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2019
LinearFold: linear-time approximate RNA folding by 5'-to-3' dynamic programming and beam search.
Bioinform., 2019

2017
OSU Multimodal Machine Translation System Report.
Proceedings of the Second Conference on Machine Translation, 2017

Jointly Trained Sequential Labeling and Classification by Sparse Attention Neural Networks.
Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Joint Syntacto-Discourse Parsing and the Syntacto-Discourse Treebank.
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).
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016
Textual Entailment with Structured Attentions and Composition.
Proceedings of the COLING 2016, 2016

2015
Type-Driven Incremental Semantic Parsing with Polymorphism.
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.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Scalable Large-Margin Structured Learning: Theory and Algorithms.
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.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Scalable Large-Margin Structured Learning: Theory and Algorithms.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013
Minibatch and Parallelization for Online Large Margin Structured Learning.
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.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Online Learning for Inexact Hypergraph Search.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Max-Violation Perceptron and Forced Decoding for Scalable MT Training.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Efficient Implementation of Beam-Search Incremental Parsers.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013


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