◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Fei Tian

18 papers hereh-index 234k citations37 works total

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

author position
  • first author3
  • middle author13

Across the 16 of 18 papers where every author was matched, so the position is known.

fields
  • cs.CL9
  • cs.LG9
same name
  • Fei Tian — 22 papers, h 7
  • Fei Tian — 2 papers, h 2
  • Fei Tian — 2 papers, h 2
  • Fei Tian — 1 paper, h 2
  • Fei Tian — 1 paper, h 0
  • Fei Tian — 1 paper, h 2

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 citedAchieving Human Parity on Automatic Chinese to English News Translation

566 citations · 1.4k across the 18 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.CL2019

Microsoft Research Asia's Systems for WMT19

Yingce Xia, Xu Tan, Fei Tian +11

We Microsoft Research Asia made submissions to 11 language directions in the WMT19 news translation tasks. We won the first place for 8 of the 11 directions and the second place fo…

cs.CL2019★ 11 cited

Hint-Based Training for Non-Autoregressive Machine Translation

Zhuohan Li, Zi Lin, Di He +4

Due to the unparallelizable nature of the autoregressive factorization, AutoRegressive Translation (ART) models have to generate tokens sequentially during decoding and thus suffer…

cs.CL2019★ 1 cited

Depth Growing for Neural Machine Translation

Lijun Wu, Yiren Wang, Yingce Xia +5

While very deep neural networks have shown effectiveness for computer vision and text classification applications, how to increase the network depth of neural machine translation (…

cs.CL2019★ 18 cited

Non-Autoregressive Machine Translation with Auxiliary Regularization

Yiren Wang, Fei Tian, Di He +3

As a new neural machine translation approach, Non-Autoregressive machine Translation (NAT) has attracted attention recently due to its high efficiency in inference. However, the hi…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.