Wenbin Zhang

According to our database, Wenbin Zhang authored at least 14 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

IDSV-GCN: Integrating Dual Syntactic Views Graph Convolutional Network for aspect-based sentiment analysis.

Mei Yu, Feng Peng, Yue Zhao, Wenbin Zhang, Jian Yu, Mankun Zhao

Knowl. Based Syst., 2024

Global Heterogeneous Graph and Target Interest Denoising for Multi-behavior Sequential Recommendation.

Xuewei Li, Hongwei Chen, Jian Yu, Mankun Zhao, Tianyi Xu, Wenbin Zhang, Mei Yu

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Graph Attention Network with Relational Dynamic Factual Fusion for Knowledge Graph Completion.

Mei Yu, Yilin Zuo, Wenbin Zhang, Mankun Zhao, Tianyi Xu, Yue Zhao, Jiujiang Guo, Jian Yu

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

DSPrompt: Prompt Learning with Relation Abstraction and Context Injection for Distant Supervised Relation Extraction.

Zechen Meng, Wenbin Zhang, Mankun Zhao, Tianyi Xu, Jian Yu, Ruiguo Yu, Mei Yu

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

AttFGCN: A GCN-Based Method Using Attention Flow for Knowledge Graph Completion.

Mei Yu, Fan Gao, Mankun Zhao, Tianyi Xu, Jiujiang Guo, Wenbin Zhang, Dejun Hou, Ruiguo Yu

Proceedings of the Database Systems for Advanced Applications, 2024

Sentence-level Distant Supervision Relation Extraction based on Dynamic Soft Labels.

Dejun Hou, Zefeng Zhang, Mankun Zhao, Wenbin Zhang, Yue Zhao, Jian Yu

Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

2023

Hypergraph Enhanced Contrastive Learning for News Recommendation.

Mankun Zhao, Zhao Liu, Mei Yu, Wenbin Zhang, Yue Zhao, Ming Yang, Jian Yu

Proceedings of the Knowledge Science, Engineering and Management, 2023

Combination of Translation and Rotation in Dual Quaternion Space for Temporal Knowledge Graph Completion.

Ruiguo Yu, Tao Liu, Jian Yu, Wenbin Zhang, Yue Zhao, Ming Yang, Mankun Zhao, Jiujiang Guo

Proceedings of the International Joint Conference on Neural Networks, 2023

MASZSL: A Multi-Block Attention-Based Description Generative Adversarial Network for Knowledge Graph Zero-Shot Relational Learning.

Mei Yu, Pengtao Fan, Mankun Zhao, Wenbin Zhang, Yue Zhao, Ming Yang, Jian Yu

Proceedings of the International Joint Conference on Neural Networks, 2023

Multi-view Contrastive Learning for Knowledge-Aware Recommendation.

Ruiguo Yu, Zixuan Li, Mankun Zhao, Wenbin Zhang, Ming Yang, Jian Yu

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Graph Contrastive Learning with Adaptive Augmentation for Knowledge Concept Recommendation.

Mei Yu, Zhaoyuan Ding, Jian Yu, Wenbin Zhang, Ming Yang, Mankun Zhao

Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023

2021

Semi-supervised Log-based Anomaly Detection via Probabilistic Label Estimation.

Lin Yang, Junjie Chen, Zan Wang, Weijing Wang, Jiajun Jiang, Xuyuan Dong, Wenbin Zhang

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

PLELog: Semi-Supervised Log-Based Anomaly Detection via Probabilistic Label Estimation.

Lin Yang, Junjie Chen, Zan Wang, Weijing Wang, Jiajun Jiang, Xuyuan Dong, Wenbin Zhang

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2021

Prioritizing Test Inputs for Deep Neural Networks via Mutation Analysis.

Zan Wang, Hanmo You, Junjie Chen, Yingyi Zhang, Xuyuan Dong, Wenbin Zhang

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021