Wei Zhang

Affiliations:
  • Alibaba Group, AZFT Joint Lab of Knowledge Engine, Hangzhou, China


According to our database1, Wei Zhang authored at least 27 papers between 2018 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Robust triple extraction with cascade bidirectional capsule network.
Expert Syst. Appl., 2022

PKGM: A Pre-trained Knowledge Graph Model for E-commerce Application.
CoRR, 2022

DualDE: Dually Distilling Knowledge Graph Embedding for Faster and Cheaper Reasoning.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

2021
Explainable zero-shot learning via attentive graph convolutional network and knowledge graphs.
Semantic Web, 2021

Drop Redundant, Shrink Irrelevant: Selective Knowledge Injection for Language Pretraining.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Billion-scale Pre-trained E-commerce Product Knowledge Graph Model.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020
Can Fine-tuning Pre-trained Models Lead to Perfect NLP? A Study of the Generalizability of Relation Extraction.
CoRR, 2020

DistilE: Distiling Knowledge Graph Embeddings for Faster and Cheaper Reasoning.
CoRR, 2020

Relation Adversarial Network for Low Resource Knowledge Graph Completion.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detection.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Summarizing Chinese Medical Answer with Graph Convolution Networks and Question-focused Dual Attention.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

OpenUE: An Open Toolkit of Universal Extraction from Text.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2020

Bridging Text and Knowledge with Multi-Prototype Embedding for Few-Shot Relational Triple Extraction.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
Relation Adversarial Network for Low Resource KnowledgeGraph Completion.
CoRR, 2019

AI Matrix: A Deep Learning Benchmark for Alibaba Data Centers.
CoRR, 2019

Transfer Learning for Relation Extraction via Relation-Gated Adversarial Learning.
CoRR, 2019

Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning.
Proceedings of the World Wide Web Conference, 2019

Interaction Embeddings for Prediction and Explanation in Knowledge Graphs.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

XTransE: Explainable Knowledge Graph Embedding for Link Prediction with Lifestyles in e-Commerce.
Proceedings of the Semantic Technology - 9th Joint International Conference, 2019

End-to-End Multi-Perspective Matching for Entity Resolution.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Deep Sequence-to-Sequence Entity Matching for Heterogeneous Entity Resolution.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Attention-Based Capsule Networks with Dynamic Routing for Relation Extraction.
CoRR, 2018

AI Matrix - Synthetic Benchmarks for DNN.
CoRR, 2018

Attention-Based Capsule Network with Dynamic Routing for Relation Extraction.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Label-Free Distant Supervision for Relation Extraction via Knowledge Graph Embedding.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018


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