Kai Zhao

23 papers A* 6A 1B 1Journal 8Unranked 7
YearRankTypeTitle / Venue / Authors
2020 J jnl
LinearFold: linear-time approximate RNA folding by 5'-to-3' dynamic programming and beam search.
CoRR
Liang Huang, He Zhang, Dezhong Deng, Kai Zhao, Kaibo Liu, David A. Hendrix, David H. Mathews
2019 J jnl
LinearFold: linear-time approximate RNA folding by 5'-to-3' dynamic programming and beam search.
Bioinform.
Liang Huang, He Zhang, Dezhong Deng, Kai Zhao, Kaibo Liu, David A. Hendrix, David H. Mathews
2018 J jnl
When to Finish? Optimal Beam Search for Neural Text Generation (modulo beam size).
CoRR
Liang Huang, Kai Zhao, Mingbo Ma
2017 A* conf
Joint Syntacto-Discourse Parsing and the Syntacto-Discourse Treebank.
EMNLP
Kai Zhao, Liang Huang
2017 J jnl
Joint Syntacto-Discourse Parsing and the Syntacto-Discourse Treebank.
CoRR
Kai Zhao, Liang Huang
2017 A conf
Jointly Trained Sequential Labeling and Classification by Sparse Attention Neural Networks.
INTERSPEECH
Mingbo Ma, Kai Zhao, Liang Huang, Bing Xiang, Bowen Zhou
2017 J jnl
Jointly Trained Sequential Labeling and Classification by Sparse Attention Neural Networks.
CoRR
Mingbo Ma, Kai Zhao, Liang Huang, Bing Xiang, Bowen Zhou
2017 — conf
OSU Multimodal Machine Translation System Report.
WMT
Mingbo Ma, Dapeng Li, Kai Zhao, Liang Huang
2017 J jnl
OSU Multimodal Machine Translation System Report.
CoRR
Mingbo Ma, Dapeng Li, Kai Zhao, Liang Huang
2017 J jnl
Textual Entailment with Structured Attentions and Composition.
CoRR
Kai Zhao, Liang Huang, Mingbo Ma
2017 A* conf
When to Finish? Optimal Beam Search for Neural Text Generation (modulo beam size).
EMNLP
Liang Huang, Kai Zhao, Mingbo Ma
2016 B conf
Textual Entailment with Structured Attentions and Composition.
COLING
Kai Zhao, Liang Huang, Mingbo Ma
2015 — conf
Scalable Large-Margin Structured Learning: Theory and Algorithms.
ACL (Tutorial Abstracts)
Liang Huang, Kai Zhao
2015 A* conf
Search-Aware Tuning for Hierarchical Phrase-based Decoding.
EMNLP
Feifei Zhai, Liang Huang, Kai Zhao
2015 — conf
Type-Driven Incremental Semantic Parsing with Polymorphism.
HLT-NAACL
Kai Zhao, Liang Huang
2014 — conf
Hierarchical MT Training using Max-Violation Perceptron.
ACL (2)
Kai Zhao, Liang Huang, Haitao Mi, Abraham Ittycheriah
2014 — conf
Scalable Large-Margin Structured Learning: Theory and Algorithms.
ACL (Tutorial Abstracts)
Liang Huang, Kai Zhao, Lemao Liu
2014 J jnl
Type-Driven Incremental Semantic Parsing with Polymorphism.
CoRR
Kai Zhao, Liang Huang
2013 — conf
Efficient Implementation of Beam-Search Incremental Parsers.
ACL (2)
Yoav Goldberg, Kai Zhao, Liang Huang
2013 A* conf
Max-Violation Perceptron and Forced Decoding for Scalable MT Training.
EMNLP
Heng Yu, Liang Huang, Haitao Mi, Kai Zhao
2013 — conf
Minibatch and Parallelization for Online Large Margin Structured Learning.
HLT-NAACL
Kai Zhao, Liang Huang
2013 A* conf
Online Learning for Inexact Hypergraph Search.
EMNLP
Hao Zhang, Liang Huang, Kai Zhao, Ryan T. McDonald
2013 A* conf
Optimal Incremental Parsing via Best-First Dynamic Programming.
EMNLP
Kai Zhao, James Cross, Liang Huang
redb/extractors/js_extractors/scripts/package.json
← Index redb/extractors/js_extractors/scripts/package.json json 
{
  "name": "redb-js-xray-runner",
  "private": true,
  "description": "Node bridge that runs @nodesecure/js-x-ray for the Python JS pipeline. Run `npm install` here once, then point JS_XRAY_RUNNER_PATH at js-xray-runner.js (it defaults to this directory).",
  "version": "0.1.0",
  "main": "js-xray-runner.js",
  "scripts": {
    "postinstall": "patch-package"
  },
  "dependencies": {
    "@nodesecure/js-x-ray": "^7.0.0",
    "patch-package": "^8.0.1"
  }
}