activity
20192021
most citedGenerative Adversarial Zero-shot Learning via Knowledge Graphs

12 citations · 24 across the 5 of their papers we have counts for

collaborators

6 papers

cs.AI20215 cited

Zero-shot Visual Question Answering using Knowledge Graph

Zhuo Chen, Jiaoyan Chen, Yuxia Geng +3

Incorporating external knowledge to Visual Question Answering (VQA) has become a vital practical need. Existing methods mostly adopt pipeline approaches with different components f…

cs.AI2021

Knowledge-aware Zero-Shot Learning: Survey and Perspective

Jiaoyan Chen, Yuxia Geng, Zhuo Chen +3

Zero-shot learning (ZSL) which aims at predicting classes that have never appeared during the training using external knowledge (a.k.a. side information) has been widely investigat…

cs.AI20211 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.AI20202 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.CV202012 cited

Generative Adversarial Zero-shot Learning via Knowledge Graphs

Yuxia Geng, Jiaoyan Chen, Zhuo Chen +4

Zero-shot learning (ZSL) is to handle the prediction of those unseen classes that have no labeled training data. Recently, generative methods like Generative Adversarial Networks (…

cs.LG20194 cited

Human-centric Transfer Learning Explanation via Knowledge Graph [Extended Abstract]

Yuxia Geng, Jiaoyan Chen, Ernesto Jimenez-Ruiz +1

Transfer learning which aims at utilizing knowledge learned from one problem (source domain) to solve another different but related problem (target domain) has attracted wide resea…