Wei Shen

Orcid: 0000-0003-3479-1165

Affiliations:
  • Nankai University, College of Computer and Control Engineering, Tianjin, China
  • Tsinghua University, Beijing, China (PhD 2014)


According to our database1, Wei Shen authored at least 28 papers between 2010 and 2023.

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

Timeline

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Bibliography

2023
Learning Entity Linking Features for Emerging Entities.
IEEE Trans. Knowl. Data Eng., July, 2023

Entity Linking Meets Deep Learning: Techniques and Solutions.
IEEE Trans. Knowl. Data Eng., March, 2023

Low-Resource Personal Attribute Prediction from Conversations.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Toward Tweet Entity Linking With Heterogeneous Information Networks.
IEEE Trans. Knowl. Data Eng., 2022

Low-resource Personal Attribute Prediction from Conversation.
CoRR, 2022

Deep convolutional recurrent model for region recommendation with spatial and temporal contexts.
Ad Hoc Networks, 2022

Personal Attribute Prediction from Conversations.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Multi-View Clustering for Open Knowledge Base Canonicalization.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Community Question Answering Entity Linking via Leveraging Auxiliary Data.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021
Named Entity Location Prediction Combining Twitter and Web.
IEEE Trans. Knowl. Data Eng., 2021

Joint Open Knowledge Base Canonicalization and Linking.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

2020
Editorial of Special Issue of ICDM 2019.
Data Sci. Eng., 2020

2018
SHINE+: A General Framework for Domain-Specific Entity Linking with Heterogeneous Information Networks.
IEEE Trans. Knowl. Data Eng., 2018

An Attention Factor Graph Model for Tweet Entity Linking.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Predicting Named Entity Location Using Twitter.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2016
Deola: A System for Linking Author Entities in Web Document with DBLP.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
Entity Linking with a Knowledge Base: Issues, Techniques, and Solutions.
IEEE Trans. Knowl. Data Eng., 2015

A Hybrid Framework for Semantic Relation Extraction over Enterprise Data.
Int. J. Semantic Web Inf. Syst., 2015

Domain-Specific Knowledge Base Enrichment Using Wikipedia Tables.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2014
A probabilistic model for linking named entities in web text with heterogeneous information networks.
Proceedings of the International Conference on Management of Data, 2014

Sequential Pattern Mining.
Proceedings of the Frequent Pattern Mining, 2014

2013
Linking named entities in Tweets with knowledge base via user interest modeling.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

2012
APOLLO: a general framework for populating ontology with named entities via random walks on graphs.
Proceedings of the 21st World Wide Web Conference, 2012

LINDEN: linking named entities with knowledge base via semantic knowledge.
Proceedings of the 21st World Wide Web Conference 2012, 2012

LIEGE: : link entities in web lists with knowledge base.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

A graph-based approach for ontology population with named entities.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
REACTOR: a framework for semantic relation extraction and tagging over enterprise data.
Proceedings of the 20th International Conference on World Wide Web, 2011

2010
GRAPE: a system for disambiguating and tagging people names in web search.
Proceedings of the 19th International Conference on World Wide Web, 2010


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