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Beibei Yu
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2020 – today
- 2025
- [j9]Beibei Yu, Jiayi Li, Xin Huang:
STSNet: A cross-spatial resolution multi-modal remote sensing deep fusion network for high resolution land-cover segmentation. Inf. Fusion 114: 102689 (2025) - 2024
- [j8]Haoran Duan, Cheng Xie, Peng Tang, Beibei Yu:
Contextual features online prediction for self-supervised graph representation. Expert Syst. Appl. 238(Part C): 122075 (2024) - [j7]Beibei Yu, Cheng Xie, Hongming Cai, Haoran Duan, Peng Tang:
Meta-path and hypergraph fused distillation framework for heterogeneous information networks embedding. Inf. Sci. 667: 120453 (2024) - 2023
- [j6]Beibei Yu, Cheng Xie, Peng Tang, Haoran Duan:
Multi-view graph representation with similarity diffusion for general zero-shot learning. Neural Networks 166: 38-50 (2023) - [j5]Beibei Yu, Cheng Xie, Peng Tang, Bin Li:
Semantic-visual shared knowledge graph for zero-shot learning. PeerJ Comput. Sci. 9: e1260 (2023) - 2022
- [c4]Peng Tang, Cheng Xie, Beibei Yu:
None-Negative Graph Contrastive Learning for Knowledge-Driven Zero-Shot Learning. ICEBE 2022: 106-111 - 2021
- [j4]Cheng Xie, Beibei Yu, Zuoying Zeng, Yun Yang, Qing Liu:
Multilayer Internet-of-Things Middleware Based on Knowledge Graph. IEEE Internet Things J. 8(4): 2635-2648 (2021) - [j3]Kun Tian, Xintian Zhuang, Beibei Yu:
The Incentive and Supervision Mechanism of Banks on Third-Party B2B Platforms in Online Supply Chain Finance Using Big Data. Mob. Inf. Syst. 2021: 9943719:1-9943719:16 (2021) - [j2]Cheng Xie, Hongxin Xiang, Ting Zeng, Yun Yang, Beibei Yu, Qing Liu:
Cross Knowledge-based Generative Zero-Shot Learning approach with Taxonomy Regularization. Neural Networks 139: 168-178 (2021) - [c3]Beibei Yu, Mingnan Hu, Zhe Sun, Bo Chen:
Data Tampering Attack Design for ROS-Based Object Detection and Tracking Robotic Platform. ICCAIS 2021: 159-164 - [c2]Beibei Yu, Cheng Xie, Yujin Wang, Hongxin Xiang:
Transfer Visual Semantics into Knowledge Graph for Zero-Shot Recognition in Universal Datasets. ISKE 2021: 327-331 - [i1]Cheng Xie, Hongxin Xiang, Ting Zeng, Yun Yang, Beibei Yu, Qing Liu:
Cross Knowledge-based Generative Zero-Shot Learning Approach with Taxonomy Regularization. CoRR abs/2101.09892 (2021)
2010 – 2019
- 2019
- [j1]Dehai Zhang, Menglong Cui, Yun Yang, Po Yang, Cheng Xie, Di Liu, Beibei Yu, Zhibo Chen:
Knowledge Graph-Based Image Classification Refinement. IEEE Access 7: 57678-57690 (2019) - 2018
- [c1]Zheng Liu, Beibei Yu, Zhibo Chen, Jiqin Peng, Qiang Feng, Qing Liu, Cheng Xie:
A Case Study of Service-Centric IoT Model for Rural Sewage Disposal. ICEBE 2018: 133-138
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