Zhengya Sun

Orcid: 0000-0003-2381-6363

According to our database1, Zhengya Sun authored at least 30 papers between 2009 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
Text-Guided Knowledge Transfer for Remote Sensing Image-Text Retrieval.
IEEE Geosci. Remote. Sens. Lett., 2024

Adaptive Graph Spatial-Temporal Attention Networks for long lead ENSO prediction.
Expert Syst. Appl., 2024

Dynamic graphs attention for ocean variable forecasting.
Eng. Appl. Artif. Intell., 2024

2023
Rare-aware attention network for image-text matching.
Inf. Process. Manag., May, 2023

Leveraging semantic property for temporal knowledge graph completion.
Appl. Intell., April, 2023

Improving fraud detection via hierarchical attention-based Graph Neural Network.
J. Inf. Secur. Appl., 2023

2022
Self-Supervised Auxiliary Domain Alignment for Unsupervised 2D Image-Based 3D Shape Retrieval.
IEEE Trans. Circuits Syst. Video Technol., 2022

Multi-level semantic fusion network for Chinese medical named entity recognition.
J. Biomed. Informatics, 2022

SLAN: Similarity-aware aggregation network for embedding out-of-knowledge-graph entities.
Neurocomputing, 2022

2021
Composition-driven symptom phrase recognition for Chinese medical consultation corpora.
BMC Medical Informatics Decis. Mak., 2021

Enhancing knowledge graph embedding with relational constraints.
Neurocomputing, 2021

2020
Inter-Patient ECG Classification With Symbolic Representations and Multi-Perspective Convolutional Neural Networks.
IEEE J. Biomed. Health Informatics, 2020

Discriminative structure learning of sum-product networks for data stream classification.
Neural Networks, 2020

Improve the translational distance models for knowledge graph embedding.
J. Intell. Inf. Syst., 2020

2019
Multi-task Character-Level Attentional Networks for Medical Concept Normalization.
Neural Process. Lett., 2019

2018
Enhancing Knowledge Graph Completion with Positive Unlabeled Learning.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017
Hierarchical Multilabel Classification with Optimal Path Prediction.
Neural Process. Lett., 2017

Scalable learning and inference in Markov logic networks.
Int. J. Approx. Reason., 2017

2016
Structural feature-based event clustering for short text streams.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015
l<sub>0</sub>-norm based structural sparse least square regression for feature selection.
Pattern Recognit., 2015

Selecting feature subset with sparsity and low redundancy for unsupervised learning.
Knowl. Based Syst., 2015

Seamlessly Integrating Effective Links with Attributes for Networked Data Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Meta-Path based Nonnegative Matrix Factorization for clustering on multi-type relational data.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Large-scale Knowledge Base Completion: Inferring via Grounding Network Sampling over Selected Instances.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
Scalable Learning for Structure in Markov Logic Networks.
Proceedings of the Statistical Relational Artificial Intelligence, 2014

2013
A Fast Matching Method Based on Semantic Similarity for Short Texts.
Proceedings of the Natural Language Processing and Chinese Computing, 2013

2012
Developing Learning Algorithms via Optimized Discretization of Continuous Dynamical Systems.
IEEE Trans. Syst. Man Cybern. Part B, 2012

Generic subset ranking using binary classifiers.
Theor. Comput. Sci., 2012

2011
Reducing Position-Sensitive Subset Ranking to Classification.
Proceedings of the Advances in Artificial Intelligence, 2011

2009
Robust sparse rank learning for non-smooth ranking measures.
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009


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