A NB-based approach to anti-spam application: DLB Classification Model. - Bei Hui; Yue Wu; Lin Ji; Jia Chen (SKG, 2006)

Multi-Agent System-based Hierarchy Grid Middleware. - Jia Chen; Yue Wu; Ming Li; Bei Hui (COMPSAC (2), 2007)

Anytime classification for a pool of instances. - Bei Hui; Ying Yang 001; Geoffrey I. Webb (Mach. Learn., 2009)

Cloud Computing Resource Scheduling based on Improved Semantic Search Engine. - Jia Chen; Jiali Xu; Bei Hui (ICIIP, 2017)

Hepatic Hemangioma Segmentation from Abdominal CT Images. - Bei Hui; Dan Zhang; Jia Chen; Lin Ji; Jia-Jun Qiu (ICIIP, 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 (ISBDAI, 2018)

Graph Attention Networks With Local Structure Awareness for Knowledge Graph Completion. - Kexi Ji; Bei Hui; Guangchun Luo (IEEE Access, 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)

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)

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 (CONF-CDS, 2021)

Memory-Associated Differential Learning. - Yi Luo; Aiguo Chen; Bei Hui; Ke Yan 002 (CoRR, 2021)

Integrating knowledge-based sparse representation for image detection. - Guangxi Lu; Ling Tian; Xu Zheng 001; Bei Hui (Neurocomputing, 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 001 (Inf. Fusion, 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)

A structure distinguishable graph attention network for knowledge base completion. - Xue Zhou; Bei Hui; Lizong Zhang; Kexi Ji (Neural Comput. Appl., 2021)

Improvement on message passing of hyper-relational knowledge graph. - Zhaokun Wang; Bei Hui; Xue Zhou; Yanping Wu (EBIMCS, 2022)

Learning Discriminative Representation for Few-Shot Knowledge Graph Completion. - Yanping Wu; Ling Tian; Bei Hui; Zhaokun Wang; Lexuan Song (ICIIP, 2022)

An Enhanced Representation Method for Pedestrian Trajectory Prediction based on Adaptive GCN. - Lizong Zhang; Yutao Jiang; Bei Hui; Zhe Liu; Guisong Liu (IPCCC, 2022)

Personalized recommendation system based on knowledge embedding and historical behavior. - Bei Hui; Lizong Zhang; Xue Zhou; Xiao Wen; Yuhui Nian (Appl. Intell., 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)

Hierarchical Knowledge-Based Graph Embedding Model for Image-Text Matching in IoTs. - Lizong Zhang; Meng Li; Ke Yan 002; Ruozhou Wang; Bei Hui (IEEE Internet Things J., 2022)

Distributed and Privacy Preserving Graph Data Collection in Internet of Thing Systems. - Xu Zheng 001; Ling Tian; Bei Hui; Xin Liu (IEEE Internet Things J., 2022)

A Secure and Efficient Framework for Multi-Round Data Trading Over the Internet of Artificially Intelligent Things. - Xu Zheng 001; Lizong Zhang; Bei Hui; Ling Tian; Zhipeng Cai 001 (IEEE Internet Things Mag., 2022)

Improving complex knowledge base question answering via structural information learning. - Jinhao Zhang; Lizong Zhang; Bei Hui; Ling Tian (Knowl. Based Syst., 2022)

Entity Relation Interactive Graph Convolutional Network for Knowledge Embedding. - Yang He; Bei Hui; Quanjiang Guo; Ling Tian; Dong Liu (DSDE, 2023)

Structure Aware Representation Learning of Dual-View Knowledge Hypergraph. - Xue Zhou; Bei Hui; Xinyu Fan; Bin Tian (EBIMCS, 2023)

A Correlation And Order-Aware Rule Learning Method For Knowledge Graph Reasoning. - Yuefeng He; Yang He; Xu Zheng; Bei Hui; Bin Tian (ICPADS, 2023)

Exploring indirect entity relations for knowledge graph enhanced recommender system. - Zhonghai He; Bei Hui; Shengming Zhang; Chunjing Xiao; Ting Zhong; Fan Zhou 002 (Expert Syst. Appl., 2023)

Dynamic relation learning for link prediction in knowledge hypergraphs. - Xue Zhou; Bei Hui; Ilana Zeira; Hao Wu; Ling Tian (Appl. Intell., 2023)

Spatial-Temporal Contrasting for Fine-Grained Urban Flow Inference. - Xovee Xu; Zhiyuan Wang 006; Qiang Gao 003; Ting Zhong; Bei Hui; Fan Zhou 002; Goce Trajcevski (IEEE Trans. Big Data, 2023)

Faithful Trip Recommender Using Diffusion Guidance (Student Abstract). - Wenzheng Shu; Yanlong Huang; Wenxin Tai; Zhangtao Cheng; Bei Hui; Goce Trajcevski (AAAI, 2024)

Decoupling User Relationships Guides Information Diffusion Prediction (Student Abstract). - Wenxue Ye; Shichong Li; Zhangtao Cheng; Xovee Xu; Ting Zhong; Bei Hui; Fan Zhou 002 (AAAI, 2024)

FCDS: Fusing Constituency and Dependency Syntax into Document-Level Relation Extraction. - Xudong Zhu; Zhao Kang 001; Bei Hui (LREC/COLING, 2024)

Adversarial Cross-laser Attack: Effective Attack to DNNs in the Real World. - Hanyu Wu; Ke Yan 002; Peng Xu; Bei Hui; Ling Tian (ISDFS, 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 (WASA (2), 2024)

Historically Relevant Event Structuring for Temporal Knowledge Graph Reasoning. - Jinchuan Zhang; Bei Hui; Chong Mu; Ming Sun; Ling Tian (CoRR, 2024)

Learning multi-graph structure for Temporal Knowledge Graph reasoning. - Jinchuan Zhang; Bei Hui; Chong Mu; Ling Tian (Expert Syst. Appl., 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., 2024)

Temporal knowledge graph reasoning based on discriminative neighboring semantic learning. - Jinchuan Zhang; Bei Hui; Xunyang Zhu; Ling Tian; Fujun Hua (Pattern Recognit., 2025)