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Bei Hui
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2020 – today
- 2024
- [j18]Jinchuan Zhang
, Bei Hui
Learning multi-graph structure for Temporal Knowledge Graph reasoning. Expert Syst. Appl. 255: 124561 (2024) - [j17]Ruozhou Wang
A Dual-View Model for Stock Price Prediction of Internet-of-Thing Enterprises. J. Circuits Syst. Comput. 33(1) (2024) - [c16]Wenzheng Shu, Yanlong Huang, Wenxin Tai, Zhangtao Cheng, Bei Hui, Goce Trajcevski:
Faithful Trip Recommender Using Diffusion Guidance (Student Abstract). AAAI 2024: 23651-23652 - [c15]Wenxue Ye, Shichong Li, Zhangtao Cheng, Xovee Xu, Ting Zhong, Bei Hui, Fan Zhou:
Decoupling User Relationships Guides Information Diffusion Prediction (Student Abstract). AAAI 2024: 23696-23698 - [c14]Xudong Zhu, Zhao Kang, Bei Hui:
FCDS: Fusing Constituency and Dependency Syntax into Document-Level Relation Extraction. LREC/COLING 2024: 7141-7152 - [c13]Hanyu Wu, Ke Yan, Peng Xu, Bei Hui, Ling Tian:
Adversarial Cross-laser Attack: Effective Attack to DNNs in the Real World. ISDFS 2024: 1-6 - [i5]Xudong Zhu, Zhao Kang, Bei Hui:
FCDS: Fusing Constituency and Dependency Syntax into Document-Level Relation Extraction. CoRR abs/2403.01886 (2024) - [i4]Jinchuan Zhang, Bei Hui, Chong Mu
Historically Relevant Event Structuring for Temporal Knowledge Graph Reasoning. CoRR abs/2405.10621 (2024) - 2023
- [j16]Xue Zhou
Dynamic relation learning for link prediction in knowledge hypergraphs. Appl. Intell. 53(22): 26580-26591 (2023) - [j15]Zhonghai He, Bei Hui
Exploring indirect entity relations for knowledge graph enhanced recommender system. Expert Syst. Appl. 213(Part): 118984 (2023) - [j14]Xovee Xu
Spatial-Temporal Contrasting for Fine-Grained Urban Flow Inference. IEEE Trans. Big Data 9(6): 1711-1725 (2023) - [c12]Yang He, Bei Hui, Quanjiang Guo, Ling Tian, Dong Liu:
Entity Relation Interactive Graph Convolutional Network for Knowledge Embedding. DSDE 2023: 73-77 - [c11]Xue Zhou
Structure Aware Representation Learning of Dual-View Knowledge Hypergraph. EBIMCS 2023: 112-117 - [c10]Yuefeng He, Yang He, Xu Zheng, Bei Hui, Bin Tian:
A Correlation And Order-Aware Rule Learning Method For Knowledge Graph Reasoning. ICPADS 2023: 1452-1459 - [i3]Jinchuan Zhang, Bei Hui, Chong Mu
Learning Multi-graph Structure for Temporal Knowledge Graph Reasoning. CoRR abs/2312.03004 (2023) - 2022
- [j13]Bei Hui, Lizong Zhang
Personalized recommendation system based on knowledge embedding and historical behavior. Appl. Intell. 52(1): 954-966 (2022) - [j12]Xu Zheng
Distributed and Privacy Preserving Graph Data Collection in Internet of Thing Systems. IEEE Internet Things J. 9(12): 9301-9309 (2022) - [j11]Lizong Zhang
Hierarchical Knowledge-Based Graph Embedding Model for Image-Text Matching in IoTs. IEEE Internet Things J. 9(12): 9399-9409 (2022) - [j10]Xu Zheng, Lizong Zhang, Bei Hui, Ling Tian, Zhipeng Cai:
A Secure and Efficient Framework for Multi-Round Data Trading Over the Internet of Artificially Intelligent Things. IEEE Internet Things Mag. 5(1): 119-124 (2022) - [j9]Jinhao Zhang
Improving complex knowledge base question answering via structural information learning. Knowl. Based Syst. 242: 108252 (2022) - [c9]Zhaokun Wang
Improvement on message passing of hyper-relational knowledge graph. EBIMCS 2022: 7-11 - [c8]Yanping Wu
Learning Discriminative Representation for Few-Shot Knowledge Graph Completion. ICIIP 2022: 2:1-2:5 - [c7]Lizong Zhang, Yutao Jiang, Bei Hui, Zhe Liu, Guisong Liu:
An Enhanced Representation Method for Pedestrian Trajectory Prediction based on Adaptive GCN. IPCCC 2022: 233-239 - [i2]Lizong Zhang, Yiming Wang, Bei Hui, Xiujian Zhang, Sijuan Liu, Shuxin Feng:
Behavior Recognition Based on the Integration of Multigranular Motion Features. CoRR abs/2203.03097 (2022) - 2021
- [j8]Guangxi Lu, Ling Tian, Xu Zheng, Bei Hui:
Integrating knowledge-based sparse representation for image detection. Neurocomputing 442: 173-183 (2021) - [j7]Wenyi Tang
Learning disentangled user representation with multi-view information fusion on social networks. Inf. Fusion 74: 77-86 (2021) - [j6]Kai Zhou, Bei Hui, Junfeng Wang, Chunyu Wang, Tingting Wu:
A study on attention-based LSTM for abnormal behavior recognition with variable pooling. Image Vis. Comput. 108: 104120 (2021) - [j5]Xue Zhou, Bei Hui, Lizong Zhang
A structure distinguishable graph attention network for knowledge base completion. Neural Comput. Appl. 33(23): 16005-16017 (2021) - [c6]Kwabena Sarpong
Perfecting Short-term Stock Predictions with Multi-Attention Networks in Noise-free Settings. CONF-CDS 2021: 49:1-49:7 - [i1]Yi Luo, Aiguo Chen, Bei Hui, Ke Yan:
Memory-Associated Differential Learning. CoRR abs/2102.05246 (2021) - 2020
- [j4]Kexi Ji
Graph Attention Networks With Local Structure Awareness for Knowledge Graph Completion. IEEE Access 8: 224860-224870 (2020) - [j3]Bei Hui
Identification of Pancreaticoduodenectomy Resection for Pancreatic Head Adenocarcinoma: A Preliminary Study of Radiomics. Comput. Math. Methods Medicine 2020: 2761627:1-2761627:12 (2020) - [j2]Bei Hui
Few-shot relation classification by context attention-based prototypical networks with BERT. EURASIP J. Wirel. Commun. Netw. 2020(1): 118 (2020)
2010 – 2019
- 2018
- [c5]Bei Hui, Dan Zhang, Jia Chen, Lin Ji, Jia-Jun Qiu
Hepatic Hemangioma Segmentation from Abdominal CT Images. ICIIP 2018: 234-237 - [c4]Jia-Jun Qiu, Yue Wu, Jia Chen, Bei Hui, Zi-Xing Huang
A Texture Analysis Method Based on Statistical Contourlet Coefficient Applied to the Classification of Pancreatic Cancer and Normal Pancreas. ISBDAI 2018: 9-13 - 2017
- [c3]Jia Chen, Jiali Xu, Bei Hui:
Cloud Computing Resource Scheduling based on Improved Semantic Search Engine. ICIIP 2017: 12:1-12:5
2000 – 2009
- 2009
- [j1]Bei Hui, Ying Yang, Geoffrey I. Webb
Anytime classification for a pool of instances. Mach. Learn. 77(1): 61-102 (2009) - 2007
- [c2]Jia Chen, Yue Wu, Ming Li, Bei Hui:
Multi-Agent System-based Hierarchy Grid Middleware. COMPSAC (2) 2007: 141-146 - 2006
- [c1]Bei Hui, Yue Wu, Lin Ji, Jia Chen:
A NB-based approach to anti-spam application: DLB Classification Model. SKG 2006: 78
Coauthor Index
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last updated on 2024-10-07 21:15 CEST by the dblp team
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