Wei Zhang

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 32

Top Topics

Relation Extraction

Graph Embedding

Domain Knowledge

Dynamic Routing

Top Venues

Publications

Ningyu Zhang, Shumin Deng, Hongbin Ye, Wei Zhang, Huajun Chen
Robust triple extraction with cascade bidirectional capsule network. Expert Syst. Appl. 187 (2022)
Yushan Zhu, Wen Zhang, Mingyang Chen, Hui Chen, Xu Cheng, Wei Zhang, Huajun Chen
DualDE: Dually Distilling Knowledge Graph Embedding for Faster and Cheaper Reasoning. WSDM (2022)
Wen Zhang, Chiman Wong, Ganqiang Ye, Bo Wen, Wei Zhang, Huajun Chen
Billion-scale Pre-trained E-commerce Product Knowledge Graph Model. CoRR (2021)
Ningyu Zhang, Shumin Deng, Xu Cheng, Xi Chen, Yichi Zhang, Wei Zhang, Huajun Chen
Drop Redundant, Shrink Irrelevant: Selective Knowledge Injection for Language Pretraining. IJCAI (2021)
Wen Zhang, Chi Man Wong, Ganqiang Ye, Bo Wen, Wei Zhang, Huajun Chen
Billion-scale Pre-trained E-commerce Product Knowledge Graph Model. ICDE (2021)
Yuxia Geng, Jiaoyan Chen, Zhiquan Ye, Zonggang Yuan, Wei Zhang, Huajun Chen
Explainable zero-shot learning via attentive graph convolutional network and knowledge graphs. Semantic Web 12 (5) (2021)
Haiyang Yu, Ningyu Zhang, Shumin Deng, Hongbin Ye, Wei Zhang, Huajun Chen
Bridging Text and Knowledge with Multi-Prototype Embedding for Few-Shot Relational Triple Extraction. COLING (2020)
Haiyang Yu, Ningyu Zhang, Shumin Deng, Hongbin Ye, Wei Zhang, Huajun Chen
Bridging Text and Knowledge with Multi-Prototype Embedding for Few-Shot Relational Triple Extraction. CoRR (2020)
Ningyu Zhang, Shumin Deng, Zhen Bi, Haiyang Yu, Jiacheng Yang, Mosha Chen, Fei Huang, Wei Zhang, Huajun Chen
OpenUE: An Open Toolkit of Universal Extraction from Text. EMNLP (Demos) (2020)
Shumin Deng, Ningyu Zhang, Jiaojian Kang, Yichi Zhang, Wei Zhang, Huajun Chen
Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detection. WSDM (2020)
Ningyu Zhang, Luoqiu Li, Shumin Deng, Haiyang Yu, Xu Cheng, Wei Zhang, Huajun Chen
Can Fine-tuning Pre-trained Models Lead to Perfect NLP? A Study of the Generalizability of Relation Extraction. CoRR (2020)
Ningyu Zhang, Shumin Deng, Juan Li, Xi Chen, Wei Zhang, Huajun Chen
Summarizing Chinese Medical Answer with Graph Convolution Networks and Question-focused Dual Attention. EMNLP (Findings) (2020)
Ningyu Zhang, Shumin Deng, Zhanlin Sun, Jiaoyan Chen, Wei Zhang, Huajun Chen
Relation Adversarial Network for Low Resource Knowledge Graph Completion. WWW (2020)
Yushan Zhu, Wen Zhang, Hui Chen, Xu Cheng, Wei Zhang, Huajun Chen
DistilE: Distiling Knowledge Graph Embeddings for Faster and Cheaper Reasoning. CoRR (2020)
Wen Zhang, Bibek Paudel, Wei Zhang, Abraham Bernstein, Huajun Chen
Interaction Embeddings for Prediction and Explanation in Knowledge Graphs. WSDM (2019)
Mingyang Chen, Wen Zhang, Wei Zhang, Qiang Chen, Huajun Chen
Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs. EMNLP/IJCNLP (1) (2019)
Mingyang Chen, Wen Zhang, Wei Zhang, Qiang Chen, Huajun Chen
Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs. CoRR (2019)
Shumin Deng, Ningyu Zhang, Jiaojian Kang, Yichi Zhang, Wei Zhang, Huajun Chen
Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detection. CoRR (2019)
Wen Zhang, Bibek Paudel, Wei Zhang, Abraham Bernstein, Huajun Chen
Interaction Embeddings for Prediction and Explanation in Knowledge Graphs. CoRR (2019)
Ningyu Zhang, Shumin Deng, Zhanlin Sun, Jiaoyan Chen, Wei Zhang, Huajun Chen
Transfer Learning for Relation Extraction via Relation-Gated Adversarial Learning. CoRR (2019)
Hao Nie, Xianpei Han, Ben He, Le Sun, Bo Chen, Wei Zhang, Suhui Wu, Hao Kong
Deep Sequence-to-Sequence Entity Matching for Heterogeneous Entity Resolution. CIKM (2019)
Wen Zhang, Bibek Paudel, Liang Wang, Jiaoyan Chen, Hai Zhu, Wei Zhang, Abraham Bernstein, Huajun Chen
Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning. CoRR (2019)
Ningyu Zhang, Shumin Deng, Zhanlin Sun, Guanying Wang, Xi Chen, Wei Zhang, Huajun Chen
Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks. CoRR (2019)
Wei Zhang, Wei Wei, Lingjie Xu, Lingling Jin, Cheng Li
AI Matrix: A Deep Learning Benchmark for Alibaba Data Centers. CoRR (2019)
Wen Zhang, Shumin Deng, Han Wang, Qiang Chen, Wei Zhang, Huajun Chen
XTransE: Explainable Knowledge Graph Embedding for Link Prediction with Lifestyles in e-Commerce. JIST (2) (2019)
Ningyu Zhang, Shumin Deng, Zhanlin Sun, Jiaoyan Chen, Wei Zhang, Huajun Chen
Relation Adversarial Network for Low Resource KnowledgeGraph Completion. CoRR (2019)
Wen Zhang, Bibek Paudel, Liang Wang, Jiaoyan Chen, Hai Zhu, Wei Zhang, Abraham Bernstein, Huajun Chen
Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning. WWW (2019)
Ningyu Zhang, Shumin Deng, Zhanlin Sun, Guanying Wang, Xi Chen, Wei Zhang, Huajun Chen
Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks. NAACL-HLT (1) (2019)
Ningyu Zhang, Shumin Deng, Zhanling Sun, Xi Chen, Wei Zhang, Huajun Chen
Attention-Based Capsule Network with Dynamic Routing for Relation Extraction. EMNLP (2018)
Guanying Wang, Wen Zhang, Ruoxu Wang, Yalin Zhou, Xi Chen, Wei Zhang, Hai Zhu, Huajun Chen
Label-Free Distant Supervision for Relation Extraction via Knowledge Graph Embedding. EMNLP (2018)
Ningyu Zhang, Shumin Deng, Zhanlin Sun, Xi Chen, Wei Zhang, Huajun Chen
Attention-Based Capsule Networks with Dynamic Routing for Relation Extraction. CoRR (2018)
Wei Wei, Lingjie Xu, Lingling Jin, Wei Zhang, Tianjun Zhang
AI Matrix - Synthetic Benchmarks for DNN. CoRR (2018)