Bei Hui

According to our database, Bei Hui authored at least 38 papers between 2006 and 2024.

Collaborative distances:

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

2024

A Dual-View Model for Stock Price Prediction of Internet-of-Thing Enterprises.

Ruozhou Wang, Ziyang Shao, Bei Hui, Zhen Wang, Ling Tian

J. Circuits Syst. Comput., January, 2024

Learning multi-graph structure for Temporal Knowledge Graph reasoning.

Jinchuan Zhang, Bei Hui, Chong Mu, Ling Tian

Expert Syst. Appl., 2024

Historically Relevant Event Structuring for Temporal Knowledge Graph Reasoning.

Jinchuan Zhang, Bei Hui, Chong Mu, Ming Sun, Ling Tian

CoRR, 2024

Real-Time Atmospheric Duct Height Prediction Framework Based on Spatio-Temporal to Ensure Maritime Communication Security.

Ben Zhang, Ke Yan, Bei Hui, Qian Huang, Hui Gao

Proceedings of the Wireless Artificial Intelligent Computing Systems and Applications, 2024

Adversarial Cross-laser Attack: Effective Attack to DNNs in the Real World.

Hanyu Wu, Ke Yan, Peng Xu, Bei Hui, Ling Tian

Proceedings of the 12th International Symposium on Digital Forensics and Security, 2024

FCDS: Fusing Constituency and Dependency Syntax into Document-Level Relation Extraction.

Xudong Zhu, Zhao Kang, Bei Hui

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Decoupling User Relationships Guides Information Diffusion Prediction (Student Abstract).

Wenxue Ye, Shichong Li, Zhangtao Cheng, Xovee Xu, Ting Zhong, Bei Hui, Fan Zhou

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Faithful Trip Recommender Using Diffusion Guidance (Student Abstract).

Wenzheng Shu, Yanlong Huang, Wenxin Tai, Zhangtao Cheng, Bei Hui, Goce Trajcevski

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Spatial-Temporal Contrasting for Fine-Grained Urban Flow Inference.

Xovee Xu, Zhiyuan Wang, Qiang Gao, Ting Zhong, Bei Hui, Fan Zhou, Goce Trajcevski

IEEE Trans. Big Data, December, 2023

Dynamic relation learning for link prediction in knowledge hypergraphs.

Xue Zhou, Bei Hui, Ilana Zeira, Hao Wu, Ling Tian

Appl. Intell., November, 2023

Exploring indirect entity relations for knowledge graph enhanced recommender system.

Zhonghai He, Bei Hui, Shengming Zhang, Chunjing Xiao, Ting Zhong, Fan Zhou

Expert Syst. Appl., 2023

A Correlation And Order-Aware Rule Learning Method For Knowledge Graph Reasoning.

Yuefeng He, Yang He, Xu Zheng, Bei Hui, Bin Tian

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Structure Aware Representation Learning of Dual-View Knowledge Hypergraph.

Xue Zhou, Bei Hui, Xinyu Fan, Bin Tian

Proceedings of the 6th International Conference on E-Business, 2023

Entity Relation Interactive Graph Convolutional Network for Knowledge Embedding.

Yang He, Bei Hui, Quanjiang Guo, Ling Tian, Dong Liu

Proceedings of the 6th International Conference on Data Storage and Data Engineering, 2023

2022

Improving complex knowledge base question answering via structural information learning.

Jinhao Zhang, Lizong Zhang, Bei Hui, Ling Tian

Knowl. Based Syst., 2022

A Secure and Efficient Framework for Multi-Round Data Trading Over the Internet of Artificially Intelligent Things.

Xu Zheng, Lizong Zhang, Bei Hui, Ling Tian, Zhipeng Cai

IEEE Internet Things Mag., 2022

Distributed and Privacy Preserving Graph Data Collection in Internet of Thing Systems.

Xu Zheng, Ling Tian, Bei Hui, Xin Liu

IEEE Internet Things J., 2022

Hierarchical Knowledge-Based Graph Embedding Model for Image-Text Matching in IoTs.

Lizong Zhang, Meng Li, Ke Yan, Ruozhou Wang, Bei Hui

IEEE Internet Things J., 2022

Behavior Recognition Based on the Integration of Multigranular Motion Features.

Lizong Zhang, Yiming Wang, Bei Hui, Xiujian Zhang, Sijuan Liu, Shuxin Feng

CoRR, 2022

Personalized recommendation system based on knowledge embedding and historical behavior.

Bei Hui, Lizong Zhang, Xue Zhou, Xiao Wen, Yuhui Nian

Appl. Intell., 2022

An Enhanced Representation Method for Pedestrian Trajectory Prediction based on Adaptive GCN.

Lizong Zhang, Yutao Jiang, Bei Hui, Zhe Liu, Guisong Liu

Proceedings of the IEEE International Performance, 2022

Learning Discriminative Representation for Few-Shot Knowledge Graph Completion.

Yanping Wu, Ling Tian, Bei Hui, Zhaokun Wang, Lexuan Song

Proceedings of the 7th International Conference on Intelligent Information Processing, 2022

Improvement on message passing of hyper-relational knowledge graph.

Zhaokun Wang, Bei Hui, Xue Zhou, Yanping Wu

Proceedings of the 5th International Conference on E-Business, 2022

2021

A structure distinguishable graph attention network for knowledge base completion.

Xue Zhou, Bei Hui, Lizong Zhang, Kexi Ji

Neural Comput. Appl., 2021

A study on attention-based LSTM for abnormal behavior recognition with variable pooling.

Kai Zhou, Bei Hui, Junfeng Wang, Chunyu Wang, Tingting Wu

Image Vis. Comput., 2021

Learning disentangled user representation with multi-view information fusion on social networks.

Wenyi Tang, Bei Hui, Ling Tian, Guangchun Luo, Zaobo He, Zhipeng Cai

Inf. Fusion, 2021

Integrating knowledge-based sparse representation for image detection.

Guangxi Lu, Ling Tian, Xu Zheng, Bei Hui

Neurocomputing, 2021

Memory-Associated Differential Learning.

Yi Luo, Aiguo Chen, Bei Hui, Ke Yan

CoRR, 2021

Perfecting Short-term Stock Predictions with Multi-Attention Networks in Noise-free Settings.

Kwabena Sarpong, Bei Hui, Xue Zhou, Rutherford Agbeshi Patamia, Edwin Kwadwo Tenagyei

Proceedings of the CONF-CDS 2021: The 2nd International Conference on Computing and Data Science, 2021

2020

Few-shot relation classification by context attention-based prototypical networks with BERT.

Bei Hui, Liang Liu, Jia Chen, Xue Zhou, Yuhui Nian

EURASIP J. Wirel. Commun. Netw., 2020

Identification of Pancreaticoduodenectomy Resection for Pancreatic Head Adenocarcinoma: A Preliminary Study of Radiomics.

Bei Hui, Jia-Jun Qiu, Jin-Heng Liu, Neng-Wen Ke

Comput. Math. Methods Medicine, 2020

Graph Attention Networks With Local Structure Awareness for Knowledge Graph Completion.

Kexi Ji, Bei Hui, Guangchun Luo

IEEE Access, 2020

2018

A Texture Analysis Method Based on Statistical Contourlet Coefficient Applied to the Classification of Pancreatic Cancer and Normal Pancreas.

Jia-Jun Qiu, Yue Wu, Jia Chen, Bei Hui, Zi-Xing Huang, Lin Ji

Proceedings of the International Symposium on Big Data and Artificial Intelligence, 2018

Hepatic Hemangioma Segmentation from Abdominal CT Images.

Bei Hui, Dan Zhang, Jia Chen, Lin Ji, Jia-Jun Qiu

Proceedings of the 3rd International Conference on Intelligent Information Processing, 2018

2017

Cloud Computing Resource Scheduling based on Improved Semantic Search Engine.

Jia Chen, Jiali Xu, Bei Hui

Proceedings of the 2nd International Conference on Intelligent Information Processing, 2017

2009

Anytime classification for a pool of instances.

Bei Hui, Ying Yang, Geoffrey I. Webb

Mach. Learn., 2009

2007

Multi-Agent System-based Hierarchy Grid Middleware.

Jia Chen, Yue Wu, Ming Li, Bei Hui

Proceedings of the 31st Annual International Computer Software and Applications Conference, 2007

2006

A NB-based approach to anti-spam application: DLB Classification Model.

Bei Hui, Yue Wu, Lin Ji, Jia Chen

Proceedings of the 2006 International Conference on Semantics, 2006