◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Jiajun Shen

12 papers hereh-index 161.4k citations28 works total

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

author position
  • first author2
  • middle author9
  • last author1

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • cs.CV3
  • cs.CL2
  • cs.AI1
  • eess.IV1
  • stat.ML1
same name
  • Jiajun Shen — 7 papers, h 4
  • Jiajun Shen — 4 papers
  • Jiajun Shen — 4 papers, h 3
  • Jiajun Shen — 3 papers, h 2
  • Jiajun Shen — 2 papers, h 1
  • Jiajun Shen — 2 papers, h 3

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
20172023
most citedScalable Graph Neural Networks for Heterogeneous Graphs

26 citations · 42 across the 8 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.CL2019★ 3 cited

Facebook AI's WAT19 Myanmar-English Translation Task Submission

Peng-Jen Chen, Jiajun Shen, Matt Le +5

This paper describes Facebook AI's submission to the WAT 2019 Myanmar-English translation task. Our baseline systems are BPE-based transformer models. We explore methods to leverag…

cs.LG2019

Revisiting Self-Training for Neural Sequence Generation

Junxian He, Jiatao Gu, Jiajun Shen +1

Self-training is one of the earliest and simplest semi-supervised methods. The key idea is to augment the original labeled dataset with unlabeled data paired with the model's predi…

cs.CL2019

The Source-Target Domain Mismatch Problem in Machine Translation

Jiajun Shen, Peng-Jen Chen, Matt Le +5

While we live in an increasingly interconnected world, different places still exhibit strikingly different cultures and many events we experience in our every day life pertain only…

cs.LG2019

PyTorch-BigGraph: A Large-scale Graph Embedding System

Adam Lerer, Ledell Wu, Jiajun Shen +4

Graph embedding methods produce unsupervised node features from graphs that can then be used for a variety of machine learning tasks. Modern graphs, particularly in industrial appl…

◍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.