Bei Hui

42 papers A* 2B 1C 1Journal 25Unranked 13
YearRankTypeTitle / Venue / Authors
2025 J jnl
A dynamic preference recommendation model based on spatiotemporal knowledge graphs.
Complex Intell. Syst.
Xinyu Fan, Yinqin Ji, Bei Hui
2025 J jnl
Temporal knowledge graph reasoning based on discriminative neighboring semantic learning.
Pattern Recognit.
Jinchuan Zhang, Bei Hui, Xunyang Zhu, Ling Tian, Fujun Hua
2024 J jnl
A Dual-View Model for Stock Price Prediction of Internet-of-Thing Enterprises.
J. Circuits Syst. Comput.
Ruozhou Wang, Ziyang Shao, Bei Hui, Zhen Wang, Ling Tian
2024 — conf
Adversarial Cross-laser Attack: Effective Attack to DNNs in the Real World.
ISDFS
Hanyu Wu, Ke Yan, Peng Xu, Bei Hui, Ling Tian
2024 A* conf
Decoupling User Relationships Guides Information Diffusion Prediction (Student Abstract).
AAAI
Wenxue Ye, Shichong Li, Zhangtao Cheng, Xovee Xu, Ting Zhong, Bei Hui, Fan Zhou
2024 — conf
FCDS: Fusing Constituency and Dependency Syntax into Document-Level Relation Extraction.
LREC/COLING
Xudong Zhu, Zhao Kang, Bei Hui
2024 J jnl
FCDS: Fusing Constituency and Dependency Syntax into Document-Level Relation Extraction.
CoRR
Xudong Zhu, Zhao Kang, Bei Hui
2024 A* conf
Faithful Trip Recommender Using Diffusion Guidance (Student Abstract).
AAAI
Wenzheng Shu, Yanlong Huang, Wenxin Tai, Zhangtao Cheng, Bei Hui, Goce Trajcevski
2024 J jnl
Historically Relevant Event Structuring for Temporal Knowledge Graph Reasoning.
CoRR
Jinchuan Zhang, Bei Hui, Chong Mu, Ming Sun, Ling Tian
2024 J jnl
Learning multi-graph structure for Temporal Knowledge Graph reasoning.
Expert Syst. Appl.
Jinchuan Zhang, Bei Hui, Chong Mu, Ling Tian
2024 — conf
Real-Time Atmospheric Duct Height Prediction Framework Based on Spatio-Temporal to Ensure Maritime Communication Security.
WASA (2)
Ben Zhang, Ke Yan, Bei Hui, Qian Huang, Hui Gao
2023 B conf
A Correlation And Order-Aware Rule Learning Method For Knowledge Graph Reasoning.
ICPADS
Yuefeng He, Yang He, Xu Zheng, Bei Hui, Bin Tian
2023 J jnl
Dynamic relation learning for link prediction in knowledge hypergraphs.
Appl. Intell.
Xue Zhou, Bei Hui, Ilana Zeira, Hao Wu, Ling Tian
2023 — conf
Entity Relation Interactive Graph Convolutional Network for Knowledge Embedding.
DSDE
Yang He, Bei Hui, Quanjiang Guo, Ling Tian, Dong Liu
2023 J jnl
Exploring indirect entity relations for knowledge graph enhanced recommender system.
Expert Syst. Appl.
Zhonghai He, Bei Hui, Shengming Zhang, Chunjing Xiao, Ting Zhong, Fan Zhou
2023 J jnl
Learning Multi-graph Structure for Temporal Knowledge Graph Reasoning.
CoRR
Jinchuan Zhang, Bei Hui, Chong Mu, Ling Tian
2023 J jnl
Spatial-Temporal Contrasting for Fine-Grained Urban Flow Inference.
IEEE Trans. Big Data
Xovee Xu, Zhiyuan Wang, Qiang Gao, Ting Zhong, Bei Hui, Fan Zhou, Goce Trajcevski
2023 — conf
Structure Aware Representation Learning of Dual-View Knowledge Hypergraph.
EBIMCS
Xue Zhou, Bei Hui, Xinyu Fan, Bin Tian
2022 J jnl
A Secure and Efficient Framework for Multi-Round Data Trading Over the Internet of Artificially Intelligent Things.
IEEE Internet Things Mag.
Xu Zheng, Lizong Zhang, Bei Hui, Ling Tian, Zhipeng Cai
2022 C conf
An Enhanced Representation Method for Pedestrian Trajectory Prediction based on Adaptive GCN.
IPCCC
Lizong Zhang, Yutao Jiang, Bei Hui, Zhe Liu, Guisong Liu
2022 J jnl
Behavior Recognition Based on the Integration of Multigranular Motion Features.
CoRR
Lizong Zhang, Yiming Wang, Bei Hui, Xiujian Zhang, Sijuan Liu, Shuxin Feng
2022 J jnl
Distributed and Privacy Preserving Graph Data Collection in Internet of Thing Systems.
IEEE Internet Things J.
Xu Zheng, Ling Tian, Bei Hui, Xin Liu
2022 J jnl
Hierarchical Knowledge-Based Graph Embedding Model for Image-Text Matching in IoTs.
IEEE Internet Things J.
Lizong Zhang, Meng Li, Ke Yan, Ruozhou Wang, Bei Hui
2022 — conf
Improvement on message passing of hyper-relational knowledge graph.
EBIMCS
Zhaokun Wang, Bei Hui, Xue Zhou, Yanping Wu
2022 J jnl
Improving complex knowledge base question answering via structural information learning.
Knowl. Based Syst.
Jinhao Zhang, Lizong Zhang, Bei Hui, Ling Tian
2022 — conf
Learning Discriminative Representation for Few-Shot Knowledge Graph Completion.
ICIIP
Yanping Wu, Ling Tian, Bei Hui, Zhaokun Wang, Lexuan Song
2022 J jnl
Personalized recommendation system based on knowledge embedding and historical behavior.
Appl. Intell.
Bei Hui, Lizong Zhang, Xue Zhou, Xiao Wen, Yuhui Nian
2021 J jnl
A structure distinguishable graph attention network for knowledge base completion.
Neural Comput. Appl.
Xue Zhou, Bei Hui, Lizong Zhang, Kexi Ji
2021 J jnl
A study on attention-based LSTM for abnormal behavior recognition with variable pooling.
Image Vis. Comput.
Kai Zhou, Bei Hui, Junfeng Wang, Chunyu Wang, Tingting Wu
2021 J jnl
Integrating knowledge-based sparse representation for image detection.
Neurocomputing
Guangxi Lu, Ling Tian, Xu Zheng, Bei Hui
2021 J jnl
Learning disentangled user representation with multi-view information fusion on social networks.
Inf. Fusion
Wenyi Tang, Bei Hui, Ling Tian, Guangchun Luo, Zaobo He, Zhipeng Cai
2021 J jnl
Memory-Associated Differential Learning.
CoRR
Yi Luo, Aiguo Chen, Bei Hui, Ke Yan
2021 — conf
Perfecting Short-term Stock Predictions with Multi-Attention Networks in Noise-free Settings.
CONF-CDS
Kwabena Sarpong, Bei Hui, Xue Zhou, Rutherford Agbeshi Patamia, Edwin Kwadwo Tenagyei
2020 J jnl
Few-shot relation classification by context attention-based prototypical networks with BERT.
EURASIP J. Wirel. Commun. Netw.
Bei Hui, Liang Liu, Jia Chen, Xue Zhou, Yuhui Nian
2020 J jnl
Graph Attention Networks With Local Structure Awareness for Knowledge Graph Completion.
IEEE Access
Kexi Ji, Bei Hui, Guangchun Luo
2020 J jnl
Identification of Pancreaticoduodenectomy Resection for Pancreatic Head Adenocarcinoma: A Preliminary Study of Radiomics.
Comput. Math. Methods Medicine
Bei Hui, Jia-Jun Qiu, Jin-Heng Liu, Neng-Wen Ke
2018 — conf
A Texture Analysis Method Based on Statistical Contourlet Coefficient Applied to the Classification of Pancreatic Cancer and Normal Pancreas.
ISBDAI
Jia-Jun Qiu, Yue Wu, Jia Chen, Bei Hui, Zi-Xing Huang, Lin Ji
2018 — conf
Hepatic Hemangioma Segmentation from Abdominal CT Images.
ICIIP
Bei Hui, Dan Zhang, Jia Chen, Lin Ji, Jia-Jun Qiu
2017 — conf
Cloud Computing Resource Scheduling based on Improved Semantic Search Engine.
ICIIP
Jia Chen, Jiali Xu, Bei Hui
2009 J jnl
Anytime classification for a pool of instances.
Mach. Learn.
Bei Hui, Ying Yang, Geoffrey I. Webb
2007 — conf
Multi-Agent System-based Hierarchy Grid Middleware.
COMPSAC (2)
Jia Chen, Yue Wu, Ming Li, Bei Hui
2006 — conf
A NB-based approach to anti-spam application: DLB Classification Model.
SKG
Bei Hui, Yue Wu, Lin Ji, Jia Chen