Yonghong Yu

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 40

Top Topics

Anomaly Detection

Tag Recommendation

Top Venues

Knowl. Based Syst.

Publications

Chunmei Zhang, Aoran Zhang, Li Zhang, Yonghong Yu, Weibin Zhao, Hai Geng
A Graph Neural Networks-Based Learning Framework With Hyperbolic Embedding for Personalized Tag Recommendation. IEEE Access 12 (2024)
Jiarun Fu, Rong Gao, Yonghong Yu, Jia Wu, Jing Li, Donghua Liu, Zhiwei Ye
Contrastive graph learning long and short-term interests for POI recommendation. Expert Syst. Appl. 238 (Part B) (2024)
Rong Gao, Wei He, Lingyu Yan, Donghua Liu, Yonghong Yu, Zhiwei Ye
Hybrid graph transformer networks for multivariate time series anomaly detection. J. Supercomput. 80 (1) (2024)
Li Zhang, Dezong Zhao, Chee Peng Lim, Houshyar Asadi, Haoqian Huang, Yonghong Yu, Rong Gao
Video Deepfake classification using particle swarm optimization-based evolving ensemble models. Knowl. Based Syst. 289 (2024)
Ye Tao, Can Wang, Lina Yao, Weimin Li, Yonghong Yu
Item trend learning for sequential recommendation system using gated graph neural network. Neural Comput. Appl. 35 (18) (2023)
Weibin Zhao, Lin Shang, Yonghong Yu, Li Zhang, Can Wang, Jiajun Chen
Personalized tag recommendation via denoising auto-encoder. World Wide Web (WWW) 26 (1) (2023)
Rong Gao, Yuhe Tao, Yonghong Yu, Jia Wu, Xiongkai Shao, Jing Li, Zhiwei Ye
Self-supervised Dual Hypergraph learning with Intent Disentanglement for session-based recommendation. Knowl. Based Syst. 270 (2023)
Rong Gao, Siqi Hu, Lingyu Yan, Li Zhang, Hang Ruan, Yonghong Yu, Zhiwei Ye
High-order deep infomax-guided deformable transformer network for efficient lane detection. Signal Image Video Process. 17 (6) (2023)
Weibin Zhao, Aoran Zhang, Lin Shang, Yonghong Yu, Li Zhang, Can Wang, Jiajun Chen, Hongzhi Yin
Hyperbolic Personalized Tag Recommendation. DASFAA (2) (2022)
Yonghong Yu, Xuewen Chen, Li Zhang, Rong Gao, Haiyan Gao
Neural Graph for Personalized Tag Recommendation. IEEE Intell. Syst. 37 (1) (2022)
Yonghong Yu, Weiwen Qian, Li Zhang, Rong Gao
A Graph-Neural-Network-Based Social Network Recommendation Algorithm Using High-Order Neighbor Information. Sensors 22 (19) (2022)
Rong Gao, Jiakang Liu, Yonghong Yu, Donghua Liu, Xiongkai Shao, Zhiwei Ye
Gated Dual Hypergraph Convolutional Networks for Recommendation with Self-supervised Learning. IJCNN (2022)
Conor Wall, Li Zhang, Yonghong Yu, Akshi Kumar, Rong Gao
A Deep Ensemble Neural Network with Attention Mechanisms for Lung Abnormality Classification Using Audio Inputs. Sensors 22 (15) (2022)
Sam Slade, Li Zhang, Yonghong Yu, Chee Peng Lim
An evolving ensemble model of multi-stream convolutional neural networks for human action recognition in still images. Neural Comput. Appl. 34 (11) (2022)
Li Zhang, Chee Peng Lim, Yonghong Yu, Ming Jiang
Sound classification using evolving ensemble models and Particle Swarm Optimization. Appl. Soft Comput. 116 (2022)
Pavan Dasari, Li Zhang, Yonghong Yu, Haoqian Huang, Rong Gao
Human Action Recognition Using Hybrid Deep Evolving Neural Networks. IJCNN (2022)
Jianxiang Wei, Shumin Mao, Jiming Dai, Ziren Wang, Weidong Huang, Yonghong Yu
A Faster and More Accurate Iterative Threshold Algorithm for Signal Reconstruction in Compressed Sensing. Sensors 22 (11) (2022)
Li Zhang, Chee Peng Lim, Yonghong Yu
Intelligent human action recognition using an ensemble model of evolving deep networks with swarm-based optimization. Knowl. Based Syst. 220 (2021)
Conor Wall, Li Zhang, Yonghong Yu, Kamlesh Mistry
Deep Recurrent Neural Networks with Attention Mechanisms for Respiratory Anomaly Classification. IJCNN (2021)
Hailun Xie, Li Zhang, Chee Peng Lim, Yonghong Yu, Han Liu
Feature Selection Using Enhanced Particle Swarm Optimisation for Classification Models. Sensors 21 (5) (2021)
Xuewen Chen, Yonghong Yu, Fengyixin Jiang, Li Zhang, Rong Gao, Haiyan Gao
Graph Neural Networks Boosted Personalized Tag Recommendation Algorithm. IJCNN (2020)
Yawen Zeng, Yong Ouyang, Rong Gao, Ye Qiu, Yonghong Yu, Chunzhi Wang
HHA: An Attentive Prediction Model for Academic Abnormality. IEEE Access 8 (2020)
Yonghong Yu, Lihong Jiao, Ningning Zhou, Li Zhang, Hongzhi Yin
Enhanced factorization machine via neural pairwise ranking and attention networks. Pattern Recognit. Lett. 140 (2020)
Lihong Jiao, Yonghong Yu, Ningning Zhou, Li Zhang, Hongzhi Yin
Neural Pairwise Ranking Factorization Machine for Item Recommendation. DASFAA (1) (2020)
Ye Tao, Can Wang, Lina Yao, Weimin Li, Yonghong Yu
TRec: Sequential Recommender Based On Latent Item Trend Information. CoRR (2020)
Yong Ouyang, Yawen Zeng, Rong Gao, Yonghong Yu, Chunzhi Wang
Elective future: The influence factor mining of students' graduation development based on hierarchical attention neural network model with graph. Appl. Intell. 50 (10) (2020)
Ye Tao, Can Wang, Lina Yao, Weimin Li, Yonghong Yu
TRec: Sequential Recommender Based On Latent Item Trend Information. IJCNN (2020)
Ruobing Li, Chuan Wang, Yefei Zha, Yonghong Yu, Shiman Guo, Qiang Wang, Yang Liu, Hui Lin
The LAIX Systems in the BEA-2019 GEC Shared Task. BEA@ACL (2019)
Yonghong Yu, Li Zhang, Can Wang, Rong Gao, Weibin Zhao, Jing Jiang
Neural Personalized Ranking via Poisson Factor Model for Item Recommendation. Complex. 2019 (2019)
Yonghong Yu, Qiang Wang, Li Zhang, Can Wang, Sifan Wu, Boyu Qi, Xiaotian Wu
Integrating Social Circles and Network Representation Learning for Item Recommendation. IJCNN (2019)
Hailun Xie, Li Zhang, Chee Peng Lim, Yonghong Yu, Chengyu Liu, Han Liu, Julie Walters
Improving K-means clustering with enhanced Firefly Algorithms. Appl. Soft Comput. 84 (2019)
Yangyang Xu, Xuefei Li, Jing Li, Chunzhi Wang, Rong Gao, Yonghong Yu
SSSER: Spatiotemporal Sequential and Social Embedding Rank for Successive Point-of-Interest Recommendation. IEEE Access 7 (2019)
Qiang Wang, Yonghong Yu, Haiyan Gao, Li Zhang, Yang Cao, Lin Mao, Kaiqi Dou, Wenye Ni
Network Representation Learning Enhanced Recommendation Algorithm. IEEE Access 7 (2019)
Han Han, Yunwei Zhao, Can Wang, Min Shu, Tao Peng, Chi-Hung Chi, Yonghong Yu
A Methodology for Resolving Heterogeneity and Interdependence in Data Analytics. ADMA (2019)
Teck Yan Tan, Li Zhang, Chee Peng Lim, Ben Fielding, Yonghong Yu, Emma Anderson
Evolving Ensemble Models for Image Segmentation Using Enhanced Particle Swarm Optimization. IEEE Access 7 (2019)
Yonghong Yu, Can Wang, Li Zhang, Rong Gao, Hua Wang
Geographical Proximity Boosted Recommendation Algorithms for Real Estate. WISE (2) (2018)
Yonghong Yu, Yang Gao, Hao Wang, Ruili Wang
Joint user knowledge and matrix factorization for recommender systems. World Wide Web 21 (4) (2018)
Yonghong Yu, Can Wang, Hao Wang, Yang Gao
Attributes coupling based matrix factorization for item recommendation. Appl. Intell. 46 (3) (2017)
Yonghong Yu, Hao Wang, Shuanzhu Sun, Yang Gao
Exploiting Location Significance and User Authority for Point-of-Interest Recommendation. PAKDD (2) (2017)
Yonghong Yu, Yang Gao, Hao Wang, Ruili Wang
Joint User Knowledge and Matrix Factorization for Recommender Systems. WISE (1) (2016)
Yonghong Yu, Can Wang, Yang Gao
Attributes Coupling based Item Enhanced Matrix Factorization Technique for Recommender Systems. CoRR (2014)
Yonghong Yu, Can Wang, Yang Gao, Longbing Cao, Qianqian Chen
Erratum: A Coupled Clustering Approach for Items Recommendation. PAKDD (2) (2013)
Yonghong Yu, Can Wang, Yang Gao, Longbing Cao, Xixi Chen
A Coupled Clustering Approach for Items Recommendation. PAKDD (2) (2013)
Yonghong Yu, Yang Gao
Constraint Programming-Based Virtual Machines Placement Algorithm in Datacenter. Intelligent Information Processing (2012)
Yonghong Yu, Wenyang Bai
Enforcing Data Privacy and User Privacy over Outsourced Database Service. J. Softw. 6 (3) (2011)
Yonghong Yu, Wenyang Bai
Forecasting Model over Random Interval Data Stream Based on Kalman Filter. DBTA (2009)
Yonghong Yu
Researches on Integrating Database Access Control and Privacy Protection. IAS (2009)
Jinxia Huang, Junfa Wang, Yonghong Yu
The Design of the Automatic Control System of the Gripping-Belt Speed in Long-Rootstalk Traditional Chinese Herbal Harvester. CCTA (2009)