activity
20162019
most citedLinearFold: linear-time approximate RNA folding by 5'-to-3' dynamic programming and beam search

255 citations · 276 across the 8 of their papers we have counts for

collaborators

18 papers

q-bio.BM2019255 cited

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

Liang Huang, He Zhang, Dezhong Deng +4

Motivation: Predicting the secondary structure of an RNA sequence is useful in many applications. Existing algorithms (based on dynamic programming) suffer from a major limitation:…

cs.CL20191 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.CL20193 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.CL20191 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,…

cs.CL2018

STACL: Simultaneous Translation with Implicit Anticipation and Controllable Latency using Prefix-to-Prefix Framework

Mingbo Ma, Liang Huang, Hao Xiong +9

Simultaneous translation, which translates sentences before they are finished, is useful in many scenarios but is notoriously difficult due to word-order differences. While the con…

cs.CL2018

Robust Neural Machine Translation with Joint Textual and Phonetic Embedding

Hairong Liu, Mingbo Ma, Liang Huang +2

Neural machine translation (NMT) is notoriously sensitive to noises, but noises are almost inevitable in practice. One special kind of noise is the homophone noise, where words are…