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2020 – today
- 2025
[j30]Rong Gao, Zhiwei Chen, Xinyun Wu, Yonghong Yu, Li Zhang:
Dynamic deep graph convolution with enhanced transformer networks for time series anomaly detection in IoT. Clust. Comput. 28(1): 15 (2025)- 2024
- [j29]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: 339-350 (2024) - [j28]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): 121931 (2024) - [j27]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: 111461 (2024) - [j26]Aoran Zhang, Yonghong Yu, Shenglong Li, Rong Gao, Li Zhang, Shang Gao:
Contrastive Learning-Based Personalized Tag Recommendation. Sensors 24(18): 6061 (2024) - [j25]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): 642-669 (2024) - [j24]Sam Slade, Li Zhang, Haoqian Huang, Houshyar Asadi, Chee Peng Lim, Yonghong Yu, Dezong Zhao, Hanhe Lin, Rong Gao:
Neural Inference Search for Multiloss Segmentation Models. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15113-15127 (2024) - 2023
- [j23]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: 110528 (2023) - [j22]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): 13077-13092 (2023) - [j21]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): 3045-3052 (2023) - [j20]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): 95-114 (2023) - 2022
- [j19]Li Zhang, Chee Peng Lim, Yonghong Yu, Ming Jiang:
Sound classification using evolving ensemble models and Particle Swarm Optimization. Appl. Soft Comput. 116: 108322 (2022) - [j18]Yonghong Yu, Xuewen Chen, Li Zhang, Rong Gao, Haiyan Gao:
Neural Graph for Personalized Tag Recommendation. IEEE Intell. Syst. 37(1): 51-59 (2022) - [j17]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): 9205-9231 (2022) - [j16]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): 4218 (2022) - [j15]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): 5566 (2022) - [j14]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): 7122 (2022) - [c19]Weibin Zhao, Aoran Zhang, Lin Shang, Yonghong Yu, Li Zhang, Can Wang, Jiajun Chen, Hongzhi Yin:
Hyperbolic Personalized Tag Recommendation. DASFAA (2) 2022: 216-231 - [c18]Pavan Dasari, Li Zhang, Yonghong Yu, Haoqian Huang, Rong Gao:
Human Action Recognition Using Hybrid Deep Evolving Neural Networks. IJCNN 2022: 1-8 - [c17]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: 1-8 - 2021
- [j13]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: 106918 (2021) - [j12]Hailun Xie, Li Zhang, Chee Peng Lim, Yonghong Yu, Han Liu:
Feature Selection Using Enhanced Particle Swarm Optimisation for Classification Models. Sensors 21(5): 1816 (2021) - [c16]Conor Wall, Li Zhang, Yonghong Yu, Kamlesh Mistry:
Deep Recurrent Neural Networks with Attention Mechanisms for Respiratory Anomaly Classification. IJCNN 2021: 1-8 - 2020
- [j11]Yawen Zeng, Yong Ouyang, Rong Gao, Ye Qiu, Yonghong Yu, Chunzhi Wang:
HHA: An Attentive Prediction Model for Academic Abnormality. IEEE Access 8: 124755-124766 (2020) - [j10]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): 3023-3039 (2020) - [j9]Yonghong Yu, Lihong Jiao, Ningning Zhou, Li Zhang, Hongzhi Yin:
Enhanced factorization machine via neural pairwise ranking and attention networks. Pattern Recognit. Lett. 140: 348-357 (2020) - [c15]Lihong Jiao, Yonghong Yu, Ningning Zhou, Li Zhang, Hongzhi Yin:
Neural Pairwise Ranking Factorization Machine for Item Recommendation. DASFAA (1) 2020: 680-688 - [c14]Xuewen Chen, Yonghong Yu, Fengyixin Jiang, Li Zhang, Rong Gao, Haiyan Gao:
Graph Neural Networks Boosted Personalized Tag Recommendation Algorithm. IJCNN 2020: 1-8 - [c13]Ye Tao, Can Wang, Lina Yao, Weimin Li, Yonghong Yu:
TRec: Sequential Recommender Based On Latent Item Trend Information. IJCNN 2020: 1-8 - [i2]Ye Tao, Can Wang, Lina Yao, Weimin Li, Yonghong Yu:
TRec: Sequential Recommender Based On Latent Item Trend Information. CoRR abs/2009.05183 (2020)
2010 – 2019
- 2019
- [j8]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: 34004-34019 (2019) - [j7]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: 61388-61399 (2019) - [j6]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: 156804-156823 (2019) - [j5]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) - [j4]Yonghong Yu, Li Zhang, Can Wang, Rong Gao, Weibin Zhao, Jing Jiang:
Neural Personalized Ranking via Poisson Factor Model for Item Recommendation. Complex. 2019: 3563674:1-3563674:16 (2019) - [c12]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: 17-33 - [c11]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: 159-167 - [c10]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: 1-8 - 2018
- [j3]Yonghong Yu, Yang Gao, Hao Wang, Ruili Wang:
Joint user knowledge and matrix factorization for recommender systems. World Wide Web 21(4): 1141-1163 (2018) - [c9]Yonghong Yu, Can Wang, Li Zhang, Rong Gao, Hua Wang:
Geographical Proximity Boosted Recommendation Algorithms for Real Estate. WISE (2) 2018: 51-66 - 2017
- [j2]Yonghong Yu, Can Wang, Hao Wang, Yang Gao:
Attributes coupling based matrix factorization for item recommendation. Appl. Intell. 46(3): 521-533 (2017) - [c8]Yonghong Yu, Hao Wang, Shuanzhu Sun, Yang Gao:
Exploiting Location Significance and User Authority for Point-of-Interest Recommendation. PAKDD (2) 2017: 119-130 - 2016
- [c7]Yonghong Yu, Yang Gao, Hao Wang, Ruili Wang:
Joint User Knowledge and Matrix Factorization for Recommender Systems. WISE (1) 2016: 77-91 - 2014
- [i1]Yonghong Yu, Can Wang, Yang Gao:
Attributes Coupling based Item Enhanced Matrix Factorization Technique for Recommender Systems. CoRR abs/1405.0770 (2014) - 2013
- [c6]Yonghong Yu, Can Wang, Yang Gao, Longbing Cao, Xixi Chen:
A Coupled Clustering Approach for Items Recommendation. PAKDD (2) 2013: 365-376 - [c5]Yonghong Yu, Can Wang, Yang Gao, Longbing Cao, Qianqian Chen:
Erratum: A Coupled Clustering Approach for Items Recommendation. PAKDD (2) 2013 - 2012
- [c4]Yonghong Yu, Yang Gao:
Constraint Programming-Based Virtual Machines Placement Algorithm in Datacenter. Intelligent Information Processing 2012: 295-304 - 2011
- [j1]Yonghong Yu, Wenyang Bai:
Enforcing Data Privacy and User Privacy over Outsourced Database Service. J. Softw. 6(3): 404-412 (2011)
2000 – 2009
- 2009
- [c3]Yonghong Yu:
Researches on Integrating Database Access Control and Privacy Protection. IAS 2009: 330-333 - [c2]Yonghong Yu, Wenyang Bai:
Forecasting Model over Random Interval Data Stream Based on Kalman Filter. DBTA 2009: 448-451 - [c1]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: 161-168
Coauthor Index
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last updated on 2024-11-11 22:23 CET by the dblp team
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