Yanping Chen

Orcid: 0000-0002-9946-3157

Affiliations:
  • Guizhou University, College of Computer Science and Technology, Guizhou Provincial Key Laboratory of Public Big Data, Guiyang, China
  • Guizhou University, Key Laboratory of Intelligent Medical Image Analysis and Precise Diagnosis of Guizhou Province, Guiyang, China
  • Xi'an Jiaotong University, Department of Computer Science and Technology, MOEKLINNS Lab, China (former)


According to our database1, Yanping Chen authored at least 50 papers between 2014 and 2024.

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

Timeline

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Bibliography

2024
A structural consensus representation learning framework for multi-view clustering.
Knowl. Based Syst., January, 2024

A hierarchical convolutional model for biomedical relation extraction.
Inf. Process. Manag., January, 2024

A novel MRC framework for evidence extracts in judgment documents.
Artif. Intell. Law, 2024

2023
Deep document clustering via adaptive hybrid representation learning.
Knowl. Based Syst., December, 2023

Full-span named entity recognition with boundary regression.
Connect. Sci., December, 2023

Cue prompt adapting model for relation extraction.
Connect. Sci., December, 2023

Enhancing interaction representation for joint entity and relation extraction.
Cogn. Syst. Res., December, 2023

Learning entity-oriented representation for biomedical relation extraction.
J. Biomed. Informatics, November, 2023

Boundary regression model for joint entity and relation extraction.
Expert Syst. Appl., November, 2023

Criminal Action Graph: A semantic representation model of judgement documents for legal charge prediction.
Inf. Process. Manag., September, 2023

A deep penetration network for sentence classification.
Inf. Fusion, July, 2023

Deep structural enhanced network for document clustering.
Appl. Intell., May, 2023

HVAE: A deep generative model via hierarchical variational auto-encoder for multi-view document modeling.
Inf. Sci., April, 2023

A Boundary Regression Model for Nested Named Entity Recognition.
Cogn. Comput., March, 2023

Intention-guided deep semi-supervised document clustering via metric learning.
J. King Saud Univ. Comput. Inf. Sci., January, 2023

A Controlled Attention for Nested Named Entity Recognition.
Cogn. Comput., January, 2023

Exploring Interactive and Contrastive Relations for Nested Named Entity Recognition.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

Planarized sentence representation for nested named entity recognition.
Inf. Process. Manag., 2023

GANRec: A negative sampling model with generative adversarial network for recommendation.
Expert Syst. Appl., 2023

Deep Multi-kernel Clustering Network.
Proceedings of the IEEE International Conference on Data Mining, 2023

2022
A marker collaborating model for entity and relation extraction.
J. King Saud Univ. Comput. Inf. Sci., November, 2022

Structure enhanced deep clustering network via a weighted neighbourhood auto-encoder.
Neural Networks, 2022

Boundary assembling method for joint entity and relation extraction.
Knowl. Based Syst., 2022

A joint model for entity boundary detection and entity span recognition.
J. King Saud Univ. Comput. Inf. Sci., 2022

Multi-view Document Clustering with Joint Contrastive Learning.
Proceedings of the Natural Language Processing and Chinese Computing, 2022

A Learnable Graph Convolutional Neural Network Model for Relation Extraction.
Proceedings of the Information Retrieval - 28th China Conference, 2022

2021
A Feature Combination-Based Graph Convolutional Neural Network Model for Relation Extraction.
Symmetry, 2021

Entity Relation Extraction Based on Entity Indicators.
Symmetry, 2021

A neuralized feature engineering method for entity relation extraction.
Neural Networks, 2021

Protein-protein interaction relation extraction based on multigranularity semantic fusion.
J. Biomed. Informatics, 2021

Deep multi-view document clustering with enhanced semantic embedding.
Inf. Sci., 2021

Annotation of Chinese Predicate Heads and Relevant Elements.
CoRR, 2021

2020
Recognizing Nested Named Entity Based on the Neural Network Boundary Assembling Model.
IEEE Intell. Syst., 2020

A Boundary Regressing Model for Nested Named Entity Recognition.
CoRR, 2020

Hierarchical Dirichlet Multinomial Allocation Model for Multi-Source Document Clustering.
IEEE Access, 2020

A Multi-Channel Deep Neural Network for Relation Extraction.
IEEE Access, 2020

A Boundary Assembling Method for Nested Biomedical Named Entity Recognition.
IEEE Access, 2020

A History and Theory of Textual Event Detection and Recognition.
IEEE Access, 2020

2019
A network security entity recognition method based on feature template and CNN-BiLSTM-CRF.
Frontiers Inf. Technol. Electron. Eng., 2019

A Set Space Model to Capture Structural Information of a Sentence.
IEEE Access, 2019

Adjusting the Inheritance of Topic for Dynamic Document Clustering.
Proceedings of the Theoretical Computer Science - 37th National Conference, 2019

A Radical-Based Method for Chinese Named Entity Recognition.
Proceedings of the 2nd International Conference on Big Data Technologies, 2019

2018
Exploring open information via event network.
Nat. Lang. Eng., 2018

Discovery of Rare Key Phrases.
Proceedings of the 15th IEEE International Conference on e-Business Engineering, 2018

Protocol Programming: A Layered Programming Paradigm.
Proceedings of the 15th IEEE International Conference on e-Business Engineering, 2018

2017
A Set Space Model for Feature Calculus.
IEEE Intell. Syst., 2017

2016
A Segmentation Matrix Method for Chinese Segmentation Ambiguity Analysis.
Int. J. Comput. Linguistics Chin. Lang. Process., 2016

2015
A Boundary Assembling Method for Chinese Entity-Mention Recognition.
IEEE Intell. Syst., 2015

Feature assembly method for extracting relations in Chinese.
Artif. Intell., 2015

2014
Omni-word Feature and Soft Constraint for Chinese Relation Extraction.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014


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