EDBT 2026 Demo / reviewers in the wild / expert

Bin Xu 0003

dblp:69/7024-3 · DBLP profile ↗
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6ranked-venue papers in the field
1as first author
4since 2021 · last 2025
0000-0001-9115-4686ORCID · conflict

Domains — venue-derived; a paper can count in several

Knowledge Engineering, Semantic Web & Information Systems · 4 (1 first)Data Mining & Knowledge Discovery · 1Other / Interdisciplinary · 1
YearPublicationVenuePosition
2025 An improved elitist-Q-Learning path planning strategy for VTOL air-ground vehicle using convolutional neural network mode prediction
Jing Zhao 0041, Chao Yang 0006, Weida Wang, Ying Li 0036, Tianqi Qie, Bin Xu 0003
 Adv. Eng. Informatics6
2024 Knowledge-Aware Self-supervised Educational Resources Recommendation
Jing Chen 0037, Yu Zhang 0018, Zhenghao Liu 0001, Minghe Yu 0001, Bin Xu 0003, Ge Yu 0001
 WISA6
2024 MMPDRec: A Denoising Model for Knowledge Concepts Recommendation Using Metapaths
Mo Chen 0009, Jing Chen 0037, Minghe Yu 0001, Zhenghao Liu 0001, Bin Xu 0003, Ge Yu 0001
 WISA6
2023 BRQG: A BART-Based Retouching Framework for Multi-hop Question Generation
Tongxin Liao, Bin Xu 0003, YiKe Han, Shuai Li 0002
 ADMA (5)2
2020 Influence of Periodic Role Switching Intervals on Pair Programming Effectiveness
Bin Xu 0003, Kening Gao, Yu Zhang 0018, Ge Yu 0001
 WISA1
2012 Using Non-topological Node Attributes to Improve Results of Link Prediction in Social Networks
abstract
This paper examines the importance of non-topological node attributes for link prediction in social networks. Rank method and supervised learning method were introduced to show the role of the node attributes in link prediction respectively. A rule for choosing the appropriate node attributes was discussed and a method for aggregating two node attributes was proposed. The result of the experiments on a blog dataset showed that using non-topological node attributes make a better performance in link prediction.
Yu Zhang 0018, Bin Xu 0003, Kening Gao, Ge Yu 0001
 WISA3