My research interests are
Knowledge graph
Representation learning
Differential reasoning
Rule learning
Jiaojan Kang, Wen Zhang, Hao Kong, Wei Zhang and Huajun Chen.
Learning Rule Embeddings over Knowledge Graphs: A Case Study from E-Commerce Entity Alignment.
WWW’20 Poster.
Mingyang Chen, Wen Zhang, Wei Zhang, Qiang Chen, and Huajun Chen.
Meta relational learning for few-shot link prediction in knowledge graphs.
EMNLP2019.
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preprint
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code
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Wen Zhang, Bibek Paudel, Liang Wang, Jiaoyan Chen, Hai Zhu, Wei Zhang, Abraham Bernstein and Huajun Chen.
Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning.
WWW2019.
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preprint
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code
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Wen Zhang, Bibek Paudel, Wei Zhang, Abraham Bernstein and Huajun Chen.
Interaction Embeddings for Prediction and Explanation in Knowledge Graphs.
WSDM2019.
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pdf
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code
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presentation
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Wen Zhang, Shumin Deng, Han Wang, Qiang Chen, Wei Zhang and Huajun Chen.
XTransE: Explainable Knowledge Graph Embedding for Link Prediction with Lifestyles in e-Commerce.
JIST’19.
Shumin Deng, Ningyu Zhang, Wen Zhang, Jiaoyan Chen, Jeff Z Pan, Huajun Chen.
Knowledge-driven stock trend prediction and explanation via temporal convolutional network.
WWW'19 KGTA workshop.
Guanying Wang, Wen Zhang, Ruoxu Wang, Yalin Zhou, Xi Chen, Wei Zhang, Hai Zhu and Huajun Chen.
Label-free distant supervision for relation extraction via knowledge graph embedding.
EMNLP2018.
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pdf
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Matthias Baumgartner, Wen Zhang, Bibek Paudel, Daniele Dell’Aglio, Huajun Chen and Abraham Bernstein.
Aligning Knowledge Base and Document Embedding Models Using Regularized Multi-Task Learning.
ISWC 2018.
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pdf
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Wen Zhang, Juan Li and Huajun Chen.
ProjR: Embedding Structure Diversity for Knowledge Graph Completion.
NLPCC 2018.
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pdf
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Wen Zhang.
Knowledge graph embedding with diversity of structures.
WWW 2017 PhD Symposium.
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pdf
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presentation
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