Qun Chen

Orcid: 0000-0001-9556-755X

Affiliations:
  • Northwestern Polytechnical University, School of Computer Science, China
  • Northwestern Polytechnical University, Key Laboratory of Big Data Storage and Management, China


According to our database1, Qun Chen authored at least 62 papers between 2008 and 2024.

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

Timeline

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Bibliography

2024
Adaptive deep learning for entity disambiguation via knowledge-based risk analysis.
Expert Syst. Appl., March, 2024

2023
Adaptive deep learning for entity resolution by risk analysis.
Knowl. Based Syst., 2023

2022
Gradual Machine Learning for Entity Resolution.
IEEE Trans. Knowl. Data Eng., 2022

Active deep learning on entity resolution by risk sampling.
Knowl. Based Syst., 2022

Adaptive deep learning for network intrusion detection by risk analysis.
Neurocomputing, 2022

2021
Joint Inference for Aspect-Level Sentiment Analysis by Deep Neural Networks and Linguistic Hints.
IEEE Trans. Knowl. Data Eng., 2021

Aspect-level sentiment analysis based on gradual machine learning.
Knowl. Based Syst., 2021

Numerical Markov Logic Network: A Scalable Probabilistic Framework for Hybrid Knowledge Inference.
Inf., 2021

Attention-Enhanced Gradual Machine Learning for Entity Resolution.
IEEE Intell. Syst., 2021

DNN-driven Gradual Machine Learning for Aspect-term Sentiment Analysis.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
r-HUMO: A Risk-Aware Human-Machine Cooperation Framework for Entity Resolution with Quality Guarantees.
IEEE Trans. Knowl. Data Eng., 2020

Constructing domain-dependent sentiment dictionary for sentiment analysis.
Neural Comput. Appl., 2020

Risk-based Adaptive Deep Learning for Entity Resolution.
CoRR, 2020

Towards Interpretable and Learnable Risk Analysis for Entity Resolution.
Proceedings of the 2020 International Conference on Management of Data, 2020

2019
Reducing partition skew on MapReduce: an incremental allocation approach.
Frontiers Comput. Sci., 2019

Towards Interpretable and Learnable Risk Analysis for Entity Resolution.
CoRR, 2019

Gradual Machine Learning for Aspect-level Sentiment Analysis.
CoRR, 2019

Gradual Machine Learning for Entity Resolution.
Proceedings of the World Wide Web Conference, 2019

Hint-Embedding Attention-Based LSTM for Aspect Identification Sentiment Analysis.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

2018
Relational data imputation with quality guarantee.
Inf. Sci., 2018

Reasoning about attribute value equivalence in relational data.
Inf. Syst., 2018

GL-RF: a reconciliation framework for label-free entity resolution.
Frontiers Comput. Sci., 2018

Automatic Web-based relational data imputation.
Frontiers Comput. Sci., 2018

Gradual Machine Learning for Entity Resolution.
CoRR, 2018

Improving the Results of Machine-based Entity Resolution with Limited Human Effort: A Risk Perspective.
CoRR, 2018

i-HUMO: An Interactive Human and Machine Cooperation Framework for Entity Resolution with Quality Guarantees.
CoRR, 2018

SenHint: A Joint Framework for Aspect-level Sentiment Analysis by Deep Neural Networks and Linguistic Hints.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Attribute Value Matching with Limited Budget.
Proceedings of the Intelligence Science and Big Data Engineering, 2018

Enabling Quality Control for Entity Resolution: A Human and Machine Cooperation Framework.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

GraphU: A Unified Vertex-Centric Parallel Graph Processing Platform.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

Improving Machine-based Entity Resolution with Limited Human Effort: A Risk Perspective.
Proceedings of the International Workshop on Real-Time Business Intelligence and Analytics, 2018

2017
Parallelizing maximal clique and k-plex enumeration over graph data.
J. Parallel Distributed Comput., 2017

Enabling Quality Control for Entity Resolution: A Human and Machine Cooperative Framework.
CoRR, 2017

GraphHP: A Hybrid Platform for Iterative Graph Processing.
CoRR, 2017

A Human-and-Machine Cooperative Framework for Entity Resolution with Quality Guarantees.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

POOLSIDE: An Online Probabilistic Knowledge Base for Shopping Decision Support.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
A probabilistic ranking framework for web-based relational data imputation.
Inf. Sci., 2016

Efficient Maximal Clique Enumeration Over Graph Data.
Data Sci. Eng., 2016

Towards Scalable Subgraph Pattern Matching over Big Graphs on MapReduce.
Proceedings of the 22nd IEEE International Conference on Parallel and Distributed Systems, 2016

DFA-G: A Unified Programming Model for Vertex-Centric Parallel Graph Processing.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Parallelizing Maximal Clique Enumeration Over Graph Data.
Proceedings of the Database Systems for Advanced Applications, 2016

Web-based techniques for automatically detecting and correcting information errors in a database.
Proceedings of the 2016 International Conference on Big Data and Smart Computing, 2016

Discovering Approximate Functional Dependencies from Distributed Big Data.
Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016

2015
Discovering Functional Dependencies in Vertically Distributed Big Data.
Proceedings of the Web Information Systems Engineering - WISE 2015, 2015

OMEGA: An Order-Preserving SubMatrix Mining, Indexing and Search Tool.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Towards Order-Preserving SubMatrix Search and Indexing.
Proceedings of the Database Systems for Advanced Applications, 2015

2013
Parallel Partitioning and Mining Gene Expression Data with Butterfly Network.
Proceedings of the Database and Expert Systems Applications, 2013

2012
Semantic relevance ranking for XML keyword search.
Inf. Sci., 2012

MSMapper: An Adaptive Split Assignment Scheme for MapReduce.
Proceedings of the Web-Age Information Management, 2012

A trust-based Top-K recommender system using social tagging network.
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012

Mining Frequent Association Tag Sequences for Clustering XML Documents.
Proceedings of the Web Technologies and Applications - 14th Asia-Pacific Web Conference, 2012

2011
XIOTR : A Terse Ranking of XIO for XML Keyword Search.
J. Softw., 2011

Event Detection over Live and Archived Streams.
Proceedings of the Web-Age Information Management - 12th International Conference, 2011

XIO-SLCA: Optimize SLCA for Effective Keyword Search in XML Documents.
Proceedings of the Web-Age Information Management, 2011

Complex Event Processing over Unreliable RFID Data Streams.
Proceedings of the Web Technologies and Applications - 13th Asia-Pacific Web Conference, 2011

2010
Structure and Content Similarity for Clustering XML Documents.
Proceedings of the Web-Age Information Management, 2010

Efficient Multiple Objects-Oriented Event Detection Over RFID Data Streams.
Proceedings of the Web-Age Information Management, 11th International Conference, 2010

Effective XML Keyword Search through Valid Lowest Information Unit.
Proceedings of the Web-Age Information Management, 2010

Online Pattern Aggregation over RFID Data Streams.
Proceedings of the Web-Age Information Management, 11th International Conference, 2010

2009
Optimization Techniques for RFID Complex Event Processing.
J. Comput. Sci. Technol., 2009

Probabilistic Modeling of Streaming RFID Data by Using Correlated Variable-duration HMMs.
Proceedings of the Seventh ACIS International Conference on Software Engineering Research, 2009

2008
Optimizing Complex Event Processing over RFID Data Streams.
Proceedings of the 24th International Conference on Data Engineering, 2008


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