Yonghong Yu

Orcid: 0000-0003-2587-8090

According to our database1, Yonghong Yu authored at least 45 papers between 2009 and 2024.

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

Timeline

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Bibliography

2024
Contrastive graph learning long and short-term interests for POI recommendation.
Expert Syst. Appl., March, 2024

Hybrid graph transformer networks for multivariate time series anomaly detection.
J. Supercomput., January, 2024

A Graph Neural Networks-Based Learning Framework With Hyperbolic Embedding for Personalized Tag Recommendation.
IEEE Access, 2024

2023
Item trend learning for sequential recommendation system using gated graph neural network.
Neural Comput. Appl., June, 2023

Personalized tag recommendation via denoising auto-encoder.
World Wide Web (WWW), January, 2023

High-order deep infomax-guided deformable transformer network for efficient lane detection.
Signal Image Video Process., 2023

Self-supervised Dual Hypergraph learning with Intent Disentanglement for session-based recommendation.
Knowl. Based Syst., 2023

2022
A Graph-Neural-Network-Based Social Network Recommendation Algorithm Using High-Order Neighbor Information.
Sensors, 2022

A Faster and More Accurate Iterative Threshold Algorithm for Signal Reconstruction in Compressed Sensing.
Sensors, 2022

A Deep Ensemble Neural Network with Attention Mechanisms for Lung Abnormality Classification Using Audio Inputs.
Sensors, 2022

An evolving ensemble model of multi-stream convolutional neural networks for human action recognition in still images.
Neural Comput. Appl., 2022

Neural Graph for Personalized Tag Recommendation.
IEEE Intell. Syst., 2022

Sound classification using evolving ensemble models and Particle Swarm Optimization.
Appl. Soft Comput., 2022

Gated Dual Hypergraph Convolutional Networks for Recommendation with Self-supervised Learning.
Proceedings of the International Joint Conference on Neural Networks, 2022

Human Action Recognition Using Hybrid Deep Evolving Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2022

Hyperbolic Personalized Tag Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2022

2021
Feature Selection Using Enhanced Particle Swarm Optimisation for Classification Models.
Sensors, 2021

Intelligent human action recognition using an ensemble model of evolving deep networks with swarm-based optimization.
Knowl. Based Syst., 2021

Deep Recurrent Neural Networks with Attention Mechanisms for Respiratory Anomaly Classification.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Enhanced factorization machine via neural pairwise ranking and attention networks.
Pattern Recognit. Lett., 2020

Elective future: The influence factor mining of students' graduation development based on hierarchical attention neural network model with graph.
Appl. Intell., 2020

HHA: An Attentive Prediction Model for Academic Abnormality.
IEEE Access, 2020

TRec: Sequential Recommender Based On Latent Item Trend Information.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Graph Neural Networks Boosted Personalized Tag Recommendation Algorithm.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Neural Pairwise Ranking Factorization Machine for Item Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2020

2019
Neural Personalized Ranking via Poisson Factor Model for Item Recommendation.
Complex., 2019

Improving K-means clustering with enhanced Firefly Algorithms.
Appl. Soft Comput., 2019

SSSER: Spatiotemporal Sequential and Social Embedding Rank for Successive Point-of-Interest Recommendation.
IEEE Access, 2019

Network Representation Learning Enhanced Recommendation Algorithm.
IEEE Access, 2019

Evolving Ensemble Models for Image Segmentation Using Enhanced Particle Swarm Optimization.
IEEE Access, 2019

Integrating Social Circles and Network Representation Learning for Item Recommendation.
Proceedings of the International Joint Conference on Neural Networks, 2019

The LAIX Systems in the BEA-2019 GEC Shared Task.
Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications, 2019

A Methodology for Resolving Heterogeneity and Interdependence in Data Analytics.
Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019

2018
Joint user knowledge and matrix factorization for recommender systems.
World Wide Web, 2018

Geographical Proximity Boosted Recommendation Algorithms for Real Estate.
Proceedings of the Web Information Systems Engineering - WISE 2018, 2018

2017
Attributes coupling based matrix factorization for item recommendation.
Appl. Intell., 2017

Exploiting Location Significance and User Authority for Point-of-Interest Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

2014
Attributes Coupling based Item Enhanced Matrix Factorization Technique for Recommender Systems.
CoRR, 2014

2013
Erratum: A Coupled Clustering Approach for Items Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

A Coupled Clustering Approach for Items Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

2012
Constraint Programming-Based Virtual Machines Placement Algorithm in Datacenter.
Proceedings of the Intelligent Information Processing VI, 2012

2011
Enforcing Data Privacy and User Privacy over Outsourced Database Service.
J. Softw., 2011

2009
The Design of the Automatic Control System of the Gripping-Belt Speed in Long-Rootstalk Traditional Chinese Herbal Harvester.
Proceedings of the Computer and Computing Technologies in Agriculture III, 2009

Forecasting Model over Random Interval Data Stream Based on Kalman Filter.
Proceedings of the First International Workshop on Database Technology and Applications, 2009

Researches on Integrating Database Access Control and Privacy Protection.
Proceedings of the Fifth International Conference on Information Assurance and Security, 2009


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