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Liang Huang

Oregon State University

22 papers hereh-index 324.8k citations86 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author9
  • last author11

Across the 22 of 22 papers where every author was matched, so the position is known.

fields
  • cs.CL21
  • q-bio.BM1
affiliations
  • Oregon State University
  • Baidu Research USA
Homepage
same name
  • Liang Huang — 22 papers, h 16
  • Liang Huang — 12 papers, h 26
  • Liang Huang — 9 papers, h 4
  • Liang Huang — 7 papers, h 10
  • Liang Huang — 7 papers, h 21
  • Liang Huang — 5 papers, h 9

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20142019
most citedLinearFold: linear-time approximate RNA folding by 5'-to-3' dynamic programming and beam search

255 citations · 424 across the 21 of their papers we have counts for

collaborators
Showing 2019 · cs.CLShow all

3 papers · 2 filters

cs.CL2019★ 1 cited

Robust Machine Translation with Domain Sensitive Pseudo-Sources: Baidu-OSU WMT19 MT Robustness Shared Task System Report

Renjie Zheng, Hairong Liu, Mingbo Ma +2

This paper describes the machine translation system developed jointly by Baidu Research and Oregon State University for WMT 2019 Machine Translation Robustness Shared Task. Transla…

cs.CL2019★ 3 cited

Simultaneous Translation with Flexible Policy via Restricted Imitation Learning

Baigong Zheng, Renjie Zheng, Mingbo Ma +1

Simultaneous translation is widely useful but remains one of the most difficult tasks in NLP. Previous work either uses fixed-latency policies, or train a complicated two-staged mo…

cs.CL2019★ 1 cited

Learning to Stop in Structured Prediction for Neural Machine Translation

Mingbo Ma, Renjie Zheng, Liang Huang

Beam search optimization resolves many issues in neural machine translation. However, this method lacks principled stopping criteria and does not learn how to stop during training,…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.