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Jiajun Zhang

Institute of Automation Chinese Academy of Sciences

40 papers hereh-index 395k citations167 works total

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

author position
  • first author6
  • middle author30
  • last author3

Across the 39 of 40 papers where every author was matched, so the position is known.

fields
  • cs.CL37
  • cs.CV2
  • cs.LG1
affiliations
  • Institute of Automation Chinese Academy of Sciences
same name
  • Jiajun Zhang — 43 papers, h 14
  • Jiajun Zhang — 16 papers, h 13
  • Jiajun Zhang — 11 papers, h 5
  • Jiajun Zhang — 9 papers, h 6
  • Jiajun Zhang — 9 papers, h 4
  • Jiajun Zhang — 7 papers, h 4

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
20152023
most citedBridging Neural Machine Translation and Bilingual Dictionaries

46 citations · 300 across the 39 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.CL2022★ 3 cited

Life-long Learning for Multilingual Neural Machine Translation with Knowledge Distillation

Yang Zhao, Junnan Zhu, Lu Xiang +4

A common scenario of Multilingual Neural Machine Translation (MNMT) is that each translation task arrives in a sequential manner, and the training data of previous tasks is unavail…

cs.CV2022

1st Place Solutions for the UVO Challenge 2022

Jiajun Zhang, Boyu Chen, Zhilong Ji +2

This paper describes the approach we have taken in the challenge. We still adopted the two-stage scheme same as the last champion, that is, detection first and segmentation followe…

cs.CL2022★ 1 cited

Learning Confidence for Transformer-based Neural Machine Translation

Yu Lu, Jiali Zeng, Jiajun Zhang +2

Confidence estimation aims to quantify the confidence of the model prediction, providing an expectation of success. A well-calibrated confidence estimate enables accurate failure p…

cs.CL2022★ 3 cited

Instance-aware Prompt Learning for Language Understanding and Generation

Feihu Jin, Jinliang Lu, Jiajun Zhang +1

Recently, prompt learning has become a new paradigm to utilize pre-trained language models (PLMs) and achieves promising results in downstream tasks with a negligible increase of p…

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