Bei Hui - researchr alias

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Viewing Publication 1 - 30 from 30

2024

2023

A Correlation And Order-Aware Rule Learning Method For Knowledge Graph ReasoningYuefeng He, Yang He, Xu Zheng, Bei Hui, Bin Tian. icpads 2023: 1452-1459 [doi]

Exploring indirect entity relations for knowledge graph enhanced recommender systemZhonghai He, Bei Hui, Shengming Zhang, Chunjing Xiao, Ting Zhong, Fan Zhou 0002. eswa, 213(Part):118984, 2023. [doi]

Spatial-Temporal Contrasting for Fine-Grained Urban Flow InferenceXovee Xu, Zhiyuan Wang, Qiang Gao, Ting Zhong, Bei Hui, Fan Zhou 0002, Goce Trajcevski. tbd, 9(6):1711-1725, December 2023. [doi]

Structure Aware Representation Learning of Dual-View Knowledge HypergraphXue Zhou, Bei Hui, Xinyu Fan, Bin Tian. ebimcs 2023: 112-117 [doi]

Dynamic relation learning for link prediction in knowledge hypergraphsXue Zhou, Bei Hui, Ilana Zeira, Hao Wu, Ling Tian. apin, 53(22):26580-26591, November 2023. [doi]

2022

Personalized recommendation system based on knowledge embedding and historical behaviorBei Hui, Lizong Zhang, Xue Zhou, Xiao Wen, Yuhui Nian. apin, 52(1):954-966, 2022. [doi]

Improvement on message passing of hyper-relational knowledge graphZhaokun Wang, Bei Hui, Xue Zhou, Yanping Wu. ebimcs 2022: 7-11 [doi]

Learning Discriminative Representation for Few-Shot Knowledge Graph CompletionYanping Wu, Ling Tian, Bei Hui, Zhaokun Wang, Lexuan Song. iciip 2022: [doi]

Improving complex knowledge base question answering via structural information learningJinhao Zhang, Lizong Zhang, Bei Hui, Ling Tian. kbs, 242:108252, 2022. [doi]

An Enhanced Representation Method for Pedestrian Trajectory Prediction based on Adaptive GCNLizong Zhang, Yutao Jiang, Bei Hui, Zhe Liu, Guisong Liu. ipccc 2022: 233-239 [doi]

Hierarchical Knowledge-Based Graph Embedding Model for Image-Text Matching in IoTsLizong Zhang, Meng Li, Ke Yan 0002, Ruozhou Wang, Bei Hui. iotj, 9(12):9399-9409, 2022. [doi]

A Secure and Efficient Framework for Multi-Round Data Trading Over the Internet of Artificially Intelligent ThingsXu Zheng, Lizong Zhang, Bei Hui, Ling Tian, Zhipeng Cai 0001. iotm, 5(1):119-124, 2022. [doi]

Distributed and Privacy Preserving Graph Data Collection in Internet of Thing SystemsXu Zheng, Ling Tian, Bei Hui, Xin Liu. iotj, 9(12):9301-9309, 2022. [doi]

2021

Integrating knowledge-based sparse representation for image detectionGuangxi Lu, Ling Tian, Xu Zheng, Bei Hui. ijon, 442:173-183, 2021. [doi]

Perfecting Short-term Stock Predictions with Multi-Attention Networks in Noise-free SettingsKwabena Sarpong, Bei Hui, Xue Zhou, Rutherford Agbeshi Patamia, Edwin Kwadwo Tenagyei. confcds 2021: [doi]

Learning disentangled user representation with multi-view information fusion on social networksWenyi Tang, Bei Hui, Ling Tian, Guangchun Luo, Zaobo He, Zhipeng Cai 0001. inffus, 74:77-86, 2021. [doi]

A structure distinguishable graph attention network for knowledge base completionXue Zhou, Bei Hui, Lizong Zhang, Kexi Ji. nca, 33(23):16005-16017, 2021. [doi]

A study on attention-based LSTM for abnormal behavior recognition with variable poolingKai Zhou, Bei Hui, Junfeng Wang, Chunyu Wang, Tingting Wu. ivc, 108:104120, 2021. [doi]

2020

2018

Hepatic Hemangioma Segmentation from Abdominal CT ImagesBei Hui, Dan Zhang, Jia Chen, Lin Ji, Jia-Jun Qiu. iciip 2018: 234-237 [doi]

A Texture Analysis Method Based on Statistical Contourlet Coefficient Applied to the Classification of Pancreatic Cancer and Normal PancreasJia-Jun Qiu, Yue Wu, Jia Chen, Bei Hui, Zi-Xing Huang, Lin Ji. isbdai 2018: 9-13 [doi]

2017

Cloud Computing Resource Scheduling based on Improved Semantic Search EngineJia Chen, Jiali Xu, Bei Hui. iciip 2017: [doi]

2009

Anytime classification for a pool of instancesBei Hui, Ying Yang, Geoffrey I. Webb. ml, 77(1):61-102, 2009. [doi]

2007

Multi-Agent System-based Hierarchy Grid MiddlewareJia Chen, Yue Wu, Ming Li, Bei Hui. compsac 2007: 141-146 [doi]

2006

A NB-based approach to anti-spam application: DLB Classification ModelBei Hui, Yue Wu, Lin Ji, Jia Chen. skg 2006: 78 [doi]

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