Yonghong Yu

61 papers B 7C 2Journal 39Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
Beyond Text-to-SQL: Can LLMs Really Debug Enterprise ETL SQL?
CoRR
Jing Ye, Yiwen Duan, Yonghong Yu, Victor Ma, Yang Gao, Xing Chen
2026 J jnl
Wasserstein distance-based graph contrastive learning for recommendation.
Expert Syst. Appl.
Yonghong Yu, Zhiyu Wang, Yujie Liao, Li Zhang, Rong Gao
2025 J jnl
Audio-Visual Emotion Classification Using Reinforcement Learning-Enhanced Particle Swarm Optimisation.
IEEE Trans. Affect. Comput.
Karolis Kondrotas, Li Zhang, Chee Peng Lim, Houshyar Asadi, Yonghong Yu
2025 J jnl
Cluster search optimisation of deep neural networks for audio emotion classification.
Knowl. Based Syst.
Sam Slade, Li Zhang, Houshyar Asadi, Chee Peng Lim, Yonghong Yu, Dezong Zhao, Arjun Panesar, Philip Fei Wu, Rong Gao
2025 J jnl
Contrastive Translation With Dynamical Temperature for Sequential Recommendation.
IEEE Trans. Syst. Man Cybern. Syst.
Aoran Zhang, Yonghong Yu, Li Zhang, Rong Gao, Hongzhi Yin
2025 J jnl
Dynamic deep graph convolution with enhanced transformer networks for time series anomaly detection in IoT.
Clust. Comput.
Rong Gao, Zhiwei Chen, Xinyun Wu, Yonghong Yu, Li Zhang
2025 B conf
Enhanced U-Net Models with Hybrid Attention Elements for Medical Image Segmentation.
IJCNN
Piyushkumar Banugariya, Li Zhang, Yonghong Yu, Vivian Sedov
2025 — conf
PDC & DM-SFT: A Road for LLM SQL Bug-Fix Enhancing.
COLING (Industry)
Yiwen Duan, Yonghong Yu, Xiaoming Zhao, Yichang Wu, Wenbo Liu
2024 J jnl
A Graph Neural Networks-Based Learning Framework With Hyperbolic Embedding for Personalized Tag Recommendation.
IEEE Access
Chunmei Zhang, Aoran Zhang, Li Zhang, Yonghong Yu, Weibin Zhao, Hai Geng
2024 J jnl
Contrastive Learning-Based Personalized Tag Recommendation.
Sensors
Aoran Zhang, Yonghong Yu, Shenglong Li, Rong Gao, Li Zhang, Shang Gao
2024 J jnl
Contrastive graph learning long and short-term interests for POI recommendation.
Expert Syst. Appl.
Jiarun Fu, Rong Gao, Yonghong Yu, Jia Wu, Jing Li, Donghua Liu, Zhiwei Ye
2024 J jnl
Hybrid graph transformer networks for multivariate time series anomaly detection.
J. Supercomput.
Rong Gao, Wei He, Lingyu Yan, Donghua Liu, Yonghong Yu, Zhiwei Ye
2024 — conf
Hyperbolic Adversarial Learning for Personalized Item Recommendation.
DASFAA (3)
Aoran Zhang, Yonghong Yu, Gongyou Xu, Rong Gao, Li Zhang, Shang Gao, Hongzhi Yin
2024 J jnl
Hyperbolic Translation-Based Sequential Recommendation.
IEEE Trans. Comput. Soc. Syst.
Yonghong Yu, Aoran Zhang, Li Zhang, Rong Gao, Shang Gao, Hongzhi Yin
2024 J jnl
Neural Inference Search for Multiloss Segmentation Models.
IEEE Trans. Neural Networks Learn. Syst.
Sam Slade, Li Zhang, Haoqian Huang, Houshyar Asadi, Chee Peng Lim, Yonghong Yu, Dezong Zhao, Hanhe Lin, Rong Gao
2024 J jnl
PDC & DM-SFT: A Road for LLM SQL Bug-Fix Enhancing.
CoRR
Yiwen Duan, Yonghong Yu, Xiaoming Zhao, Yichang Wu, Wenbo Liu
2024 J jnl
Video Deepfake classification using particle swarm optimization-based evolving ensemble models.
Knowl. Based Syst.
Li Zhang, Dezong Zhao, Chee Peng Lim, Houshyar Asadi, Haoqian Huang, Yonghong Yu, Rong Gao
2023 J jnl
High-order deep infomax-guided deformable transformer network for efficient lane detection.
Signal Image Video Process.
Rong Gao, Siqi Hu, Lingyu Yan, Li Zhang, Hang Ruan, Yonghong Yu, Zhiwei Ye
2023 J jnl
Item trend learning for sequential recommendation system using gated graph neural network.
Neural Comput. Appl.
Ye Tao, Can Wang, Lina Yao, Weimin Li, Yonghong Yu
2023 J jnl
Personalized tag recommendation via denoising auto-encoder.
World Wide Web (WWW)
Weibin Zhao, Lin Shang, Yonghong Yu, Li Zhang, Can Wang, Jiajun Chen
2023 J jnl
Self-supervised Dual Hypergraph learning with Intent Disentanglement for session-based recommendation.
Knowl. Based Syst.
Rong Gao, Yuhe Tao, Yonghong Yu, Jia Wu, Xiongkai Shao, Jing Li, Zhiwei Ye
2022 J jnl
A Deep Ensemble Neural Network with Attention Mechanisms for Lung Abnormality Classification Using Audio Inputs.
Sensors
Conor Wall, Li Zhang, Yonghong Yu, Akshi Kumar, Rong Gao
2022 J jnl
A Faster and More Accurate Iterative Threshold Algorithm for Signal Reconstruction in Compressed Sensing.
Sensors
Jianxiang Wei, Shumin Mao, Jiming Dai, Ziren Wang, Weidong Huang, Yonghong Yu
2022 J jnl
A Graph-Neural-Network-Based Social Network Recommendation Algorithm Using High-Order Neighbor Information.
Sensors
Yonghong Yu, Weiwen Qian, Li Zhang, Rong Gao
2022 J jnl
An evolving ensemble model of multi-stream convolutional neural networks for human action recognition in still images.
Neural Comput. Appl.
Sam Slade, Li Zhang, Yonghong Yu, Chee Peng Lim
2022 B conf
Gated Dual Hypergraph Convolutional Networks for Recommendation with Self-supervised Learning.
IJCNN
Rong Gao, Jiakang Liu, Yonghong Yu, Donghua Liu, Xiongkai Shao, Zhiwei Ye
2022 B conf
Human Action Recognition Using Hybrid Deep Evolving Neural Networks.
IJCNN
Pavan Dasari, Li Zhang, Yonghong Yu, Haoqian Huang, Rong Gao
2022 — conf
Hyperbolic Personalized Tag Recommendation.
DASFAA (2)
Weibin Zhao, Aoran Zhang, Lin Shang, Yonghong Yu, Li Zhang, Can Wang, Jiajun Chen, Hongzhi Yin
2022 J jnl
Neural Graph for Personalized Tag Recommendation.
IEEE Intell. Syst.
Yonghong Yu, Xuewen Chen, Li Zhang, Rong Gao, Haiyan Gao
2022 J jnl
Sound classification using evolving ensemble models and Particle Swarm Optimization.
Appl. Soft Comput.
Li Zhang, Chee Peng Lim, Yonghong Yu, Ming Jiang
2021 B conf
Deep Recurrent Neural Networks with Attention Mechanisms for Respiratory Anomaly Classification.
IJCNN
Conor Wall, Li Zhang, Yonghong Yu, Kamlesh Mistry
2021 J jnl
Feature Selection Using Enhanced Particle Swarm Optimisation for Classification Models.
Sensors
Hailun Xie, Li Zhang, Chee Peng Lim, Yonghong Yu, Han Liu
2021 J jnl
Intelligent human action recognition using an ensemble model of evolving deep networks with swarm-based optimization.
Knowl. Based Syst.
Li Zhang, Chee Peng Lim, Yonghong Yu
2020 J jnl
Elective future: The influence factor mining of students' graduation development based on hierarchical attention neural network model with graph.
Appl. Intell.
Yong Ouyang, Yawen Zeng, Rong Gao, Yonghong Yu, Chunzhi Wang
2020 J jnl
Enhanced factorization machine via neural pairwise ranking and attention networks.
Pattern Recognit. Lett.
Yonghong Yu, Lihong Jiao, Ningning Zhou, Li Zhang, Hongzhi Yin
2020 B conf
Graph Neural Networks Boosted Personalized Tag Recommendation Algorithm.
IJCNN
Xuewen Chen, Yonghong Yu, Fengyixin Jiang, Li Zhang, Rong Gao, Haiyan Gao
2020 J jnl
HHA: An Attentive Prediction Model for Academic Abnormality.
IEEE Access
Yawen Zeng, Yong Ouyang, Rong Gao, Ye Qiu, Yonghong Yu, Chunzhi Wang
2020 — conf
Neural Pairwise Ranking Factorization Machine for Item Recommendation.
DASFAA (1)
Lihong Jiao, Yonghong Yu, Ningning Zhou, Li Zhang, Hongzhi Yin
2020 B conf
TRec: Sequential Recommender Based On Latent Item Trend Information.
IJCNN
Ye Tao, Can Wang, Lina Yao, Weimin Li, Yonghong Yu
2020 J jnl
TRec: Sequential Recommender Based On Latent Item Trend Information.
CoRR
Ye Tao, Can Wang, Lina Yao, Weimin Li, Yonghong Yu
2019 C conf
A Methodology for Resolving Heterogeneity and Interdependence in Data Analytics.
ADMA
Han Han, Yunwei Zhao, Can Wang, Min Shu, Tao Peng, Chi-Hung Chi, Yonghong Yu
2019 J jnl
Evolving Ensemble Models for Image Segmentation Using Enhanced Particle Swarm Optimization.
IEEE Access
Teck Yan Tan, Li Zhang, Chee Peng Lim, Ben Fielding, Yonghong Yu, Emma Anderson
2019 J jnl
Improving K-means clustering with enhanced Firefly Algorithms.
Appl. Soft Comput.
Hailun Xie, Li Zhang, Chee Peng Lim, Yonghong Yu, Chengyu Liu, Han Liu, Julie Walters
2019 B conf
Integrating Social Circles and Network Representation Learning for Item Recommendation.
IJCNN
Yonghong Yu, Qiang Wang, Li Zhang, Can Wang, Sifan Wu, Boyu Qi, Xiaotian Wu
2019 J jnl
Network Representation Learning Enhanced Recommendation Algorithm.
IEEE Access
Qiang Wang, Yonghong Yu, Haiyan Gao, Li Zhang, Yang Cao, Lin Mao, Kaiqi Dou, Wenye Ni
2019 J jnl
Neural Personalized Ranking via Poisson Factor Model for Item Recommendation.
Complex.
Yonghong Yu, Li Zhang, Can Wang, Rong Gao, Weibin Zhao, Jing Jiang
2019 J jnl
SSSER: Spatiotemporal Sequential and Social Embedding Rank for Successive Point-of-Interest Recommendation.
IEEE Access
Yangyang Xu, Xuefei Li, Jing Li, Chunzhi Wang, Rong Gao, Yonghong Yu
2019 — conf
The LAIX Systems in the BEA-2019 GEC Shared Task.
BEA@ACL
Ruobing Li, Chuan Wang, Yefei Zha, Yonghong Yu, Shiman Guo, Qiang Wang, Yang Liu, Hui Lin
2018 — conf
Geographical Proximity Boosted Recommendation Algorithms for Real Estate.
WISE (2)
Yonghong Yu, Can Wang, Li Zhang, Rong Gao, Hua Wang
2018 J jnl
Joint user knowledge and matrix factorization for recommender systems.
World Wide Web
Yonghong Yu, Yang Gao, Hao Wang, Ruili Wang
2017 J jnl
Attributes coupling based matrix factorization for item recommendation.
Appl. Intell.
Yonghong Yu, Can Wang, Hao Wang, Yang Gao
2017 — conf
Exploiting Location Significance and User Authority for Point-of-Interest Recommendation.
PAKDD (2)
Yonghong Yu, Hao Wang, Shuanzhu Sun, Yang Gao
2016 — conf
Joint User Knowledge and Matrix Factorization for Recommender Systems.
WISE (1)
Yonghong Yu, Yang Gao, Hao Wang, Ruili Wang
2014 J jnl
Attributes Coupling based Item Enhanced Matrix Factorization Technique for Recommender Systems.
CoRR
Yonghong Yu, Can Wang, Yang Gao
2013 — conf
A Coupled Clustering Approach for Items Recommendation.
PAKDD (2)
Yonghong Yu, Can Wang, Yang Gao, Longbing Cao, Xixi Chen
2013 — conf
Erratum: A Coupled Clustering Approach for Items Recommendation.
PAKDD (2)
Yonghong Yu, Can Wang, Yang Gao, Longbing Cao, Qianqian Chen
2012 — conf
Constraint Programming-Based Virtual Machines Placement Algorithm in Datacenter.
IIP
Yonghong Yu, Yang Gao
2011 J jnl
Enforcing Data Privacy and User Privacy over Outsourced Database Service.
J. Softw.
Yonghong Yu, Wenyang Bai
2009 — conf
Forecasting Model over Random Interval Data Stream Based on Kalman Filter.
DBTA
Yonghong Yu, Wenyang Bai
2009 C conf
Researches on Integrating Database Access Control and Privacy Protection.
IAS
Yonghong Yu
2009 — conf
The Design of the Automatic Control System of the Gripping-Belt Speed in Long-Rootstalk Traditional Chinese Herbal Harvester.
CCTA
Jinxia Huang, Junfa Wang, Yonghong Yu