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Kai Zhao 0003
Person information
- affiliation: Google Inc., New York, NY, USA
- affiliation (PhD 2017): Oregon State University, School of Electrical Engineering and Computer Science, Corvallis, OR, USA
- affiliation (2014): Microsoft Research, Redmond, WA, USA
- affiliation (2013): IBM T.J. Watson Research Center, Yorktown Heights, NY, USA
- affiliation (2010 - 2015): City University of New York, NY, USA
Other persons with the same name
- Kai Zhao — disambiguation page
- Kai Zhao 0001 — NEC Laboratories, Beijing, China
- Kai Zhao 0002 — Concordia University, Montreal, Canada
- Kai Zhao 0004
— Chongqing University, School of Automation, China
- Kai Zhao 0005 — SanDisk, MA, USA (and 1 more)
- Kai Zhao 0006 — Shanghai Jiao Tong University, City Key Laboratory of Automobile Engineering of Shanghai, China
- Kai Zhao 0007
- Kai Zhao 0008
- Kai Zhao 0009
- Kai Zhao 0010
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2020 – today
- 2020
- [i7]Liang Huang, He Zhang, Dezhong Deng, Kai Zhao, Kaibo Liu, David A. Hendrix, David H. Mathews:
LinearFold: linear-time approximate RNA folding by 5'-to-3' dynamic programming and beam search. CoRR abs/2001.04020 (2020)
2010 – 2019
- 2019
- [j1]Liang Huang, He Zhang
LinearFold: linear-time approximate RNA folding by 5'-to-3' dynamic programming and beam search. Bioinform. 35(14): i295-i304 (2019) - 2018
- [i6]Liang Huang, Kai Zhao, Mingbo Ma:
When to Finish? Optimal Beam Search for Neural Text Generation (modulo beam size). CoRR abs/1809.00069 (2018) - 2017
- [c15]Kai Zhao, Liang Huang:
Joint Syntacto-Discourse Parsing and the Syntacto-Discourse Treebank. EMNLP 2017: 2117-2123 - [c14]Liang Huang, Kai Zhao, Mingbo Ma:
When to Finish? Optimal Beam Search for Neural Text Generation (modulo beam size). EMNLP 2017: 2134-2139 - [c13]Mingbo Ma, Kai Zhao, Liang Huang, Bing Xiang, Bowen Zhou:
Jointly Trained Sequential Labeling and Classification by Sparse Attention Neural Networks. INTERSPEECH 2017: 3334-3338 - [c12]Mingbo Ma, Dapeng Li, Kai Zhao, Liang Huang:
OSU Multimodal Machine Translation System Report. WMT 2017: 465-469 - [i5]Kai Zhao, Liang Huang, Mingbo Ma:
Textual Entailment with Structured Attentions and Composition. CoRR abs/1701.01126 (2017) - [i4]Kai Zhao, Liang Huang:
Joint Syntacto-Discourse Parsing and the Syntacto-Discourse Treebank. CoRR abs/1708.08484 (2017) - [i3]Mingbo Ma, Kai Zhao, Liang Huang, Bing Xiang, Bowen Zhou:
Jointly Trained Sequential Labeling and Classification by Sparse Attention Neural Networks. CoRR abs/1709.10191 (2017) - [i2]Mingbo Ma, Dapeng Li, Kai Zhao, Liang Huang:
OSU Multimodal Machine Translation System Report. CoRR abs/1710.02718 (2017) - 2016
- [c11]Kai Zhao, Liang Huang, Mingbo Ma:
Textual Entailment with Structured Attentions and Composition. COLING 2016: 2248-2258 - 2015
- [c10]Liang Huang, Kai Zhao:
Scalable Large-Margin Structured Learning: Theory and Algorithms. ACL (Tutorial Abstracts) 2015: 19-20 - [c9]Feifei Zhai, Liang Huang, Kai Zhao:
Search-Aware Tuning for Hierarchical Phrase-based Decoding. EMNLP 2015: 1282-1291 - [c8]Kai Zhao, Liang Huang:
Type-Driven Incremental Semantic Parsing with Polymorphism. HLT-NAACL 2015: 1416-1421 - 2014
- [c7]Liang Huang, Kai Zhao, Lemao Liu:
Scalable Large-Margin Structured Learning: Theory and Algorithms. ACL (Tutorial Abstracts) 2014: 4-5 - [c6]Kai Zhao, Liang Huang, Haitao Mi, Abraham Ittycheriah:
Hierarchical MT Training using Max-Violation Perceptron. ACL (2) 2014: 785-790 - [i1]Kai Zhao, Liang Huang:
Type-Driven Incremental Semantic Parsing with Polymorphism. CoRR abs/1411.5379 (2014) - 2013
- [c5]Yoav Goldberg, Kai Zhao, Liang Huang:
Efficient Implementation of Beam-Search Incremental Parsers. ACL (2) 2013: 628-633 - [c4]Kai Zhao, James Cross, Liang Huang:
Optimal Incremental Parsing via Best-First Dynamic Programming. EMNLP 2013: 758-768 - [c3]Hao Zhang, Liang Huang, Kai Zhao, Ryan T. McDonald:
Online Learning for Inexact Hypergraph Search. EMNLP 2013: 908-913 - [c2]Heng Yu, Liang Huang, Haitao Mi, Kai Zhao:
Max-Violation Perceptron and Forced Decoding for Scalable MT Training. EMNLP 2013: 1112-1123 - [c1]Kai Zhao, Liang Huang:
Minibatch and Parallelization for Online Large Margin Structured Learning. HLT-NAACL 2013: 370-379
Coauthor Index
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last updated on 2024-12-30 20:22 CET by the dblp team
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