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Huajun Chen

12 papers hereh-index 3410.9k citations243 works total

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

author position
  • last author10

Across the 10 of 12 papers where every author was matched, so the position is known.

fields
  • cs.AI4
  • cs.CL3
  • cs.LG3
  • cs.CV1
  • cs.IR1
same name
  • Huajun Chen — 138 papers, h 58
  • Huajun Chen — 9 papers
  • Huajun Chen — 8 papers
  • Huajun Chen — 1 paper
  • Huajun Chen — 1 paper

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
20182021
most citedInteraction Embeddings for Prediction and Explanation in Knowledge Graphs

150 citations · 177 across the 8 of their papers we have counts for

collaborators
Showing cs.AIShow all

4 papers · 1 filter

cs.AI2021★ 1 cited

OntoZSL: Ontology-enhanced Zero-shot Learning

Yuxia Geng, Jiaoyan Chen, Zhuo Chen +5

Zero-shot Learning (ZSL), which aims to predict for those classes that have never appeared in the training data, has arisen hot research interests. The key of implementing ZSL is t…

cs.AI2020★ 2 cited

Ontology-guided Semantic Composition for Zero-Shot Learning

Jiaoyan Chen, Freddy Lecue, Yuxia Geng +2

Zero-shot learning (ZSL) is a popular research problem that aims at predicting for those classes that have never appeared in the training stage by utilizing the inter-class relatio…

cs.AI2019★ 150 cited

Interaction Embeddings for Prediction and Explanation in Knowledge Graphs

Wen Zhang, Bibek Paudel, Wei Zhang +2

Knowledge graph embedding aims to learn distributed representations for entities and relations, and is proven to be effective in many applications. Crossover interactions --- bi-di…

cs.AI2018

Knowledge-based Transfer Learning Explanation

Jiaoyan Chen, Freddy Lecue, Jeff Z. Pan +2

Machine learning explanation can significantly boost machine learning's application in decision making, but the usability of current methods is limited in human-centric explanation…

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