Connecting embeddings for knowledge graph entity typing Y Zhao, A Zhang, R Xie, K Liu, X Wang In Proceedings of the 58th Annual Meeting of the Association for …, 2020 | 58 | 2020 |
A multi-user cost-efficient crowd-assisted VR content delivery solution in 5G-and-beyond heterogeneous networks L Zhong, X Chen, C Xu, Y Ma, M Wang, Y Zhao, GM Muntean IEEE Transactions on Mobile Computing, 2022 | 37 | 2022 |
Knowledge base completion by learning pairwise-interaction differentiated embeddings Y Zhao, S Gao, P Gallinari, J Guo Data mining and knowledge discovery 29, 1486-1504, 2015 | 30 | 2015 |
A robust AUC maximization framework with simultaneous outlier detection and feature selection for positive-unlabeled classification K Ren, H Yang, Y Zhao, W Chen, M Xue, H Miao, S Huang, J Liu IEEE transactions on neural networks and learning systems 30 (10), 3072-3083, 2018 | 29 | 2018 |
EIGAT: Incorporating global information in local attention for knowledge representation learning Y Zhao, H Feng, H Zhou, Y Yang, X Chen, R Xie, F Zhuang, Q Li Knowledge-Based Systems 237, 107909, 2022 | 27 | 2022 |
Connecting embeddings based on multiplex relational graph attention networks for knowledge graph entity typing Y Zhao, H Zhou, A Zhang, R Xie, Q Li, F Zhuang IEEE Transactions on Knowledge and Data Engineering 35 (5), 4608-4620, 2022 | 23 | 2022 |
Stock movement prediction based on bi-typed hybrid-relational market knowledge graph via dual attention networks Y Zhao, H Du, Y Liu, S Wei, X Chen, F Zhuang, Q Li, G Kou IEEE Transactions on Knowledge and Data Engineering, 2022 | 19 | 2022 |
Embedding learning with triple trustiness on noisy knowledge graph Y Zhao, H Feng, P Gallinari Entropy 21 (11), 1083, 2019 | 17 | 2019 |
Zero-shot embedding for unseen entities in knowledge graph Y Zhao, S Gao, P Gallinari, J Guo IEICE TRANSACTIONS on Information and Systems 100 (7), 1440-1447, 2017 | 11 | 2017 |
Learning entity type structured embeddings with trustworthiness on noisy knowledge graphs Y Zhao, Z Li, W Deng, R Xie, Q Li Knowledge-Based Systems 215, 106630, 2021 | 10 | 2021 |
“Only visible for three days”: Mining microblogs to understand reasons for using the Time Limit setting on WeChat Moments Y Zhang, X Ran, C Luo, Y Gao, Y Zhao, Q Shuai Computers in Human Behavior 134, 107316, 2022 | 9 | 2022 |
Colive: An edge-assisted online learning framework for viewport prediction in 360° live streaming M Wang, S Peng, X Chen, Y Zhao, M Xu, C Xu 2022 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2022 | 9 | 2022 |
Learning Bi-typed Multi-relational Heterogeneous Graph via Dual Hierarchical Attention Networks Y Zhao, S Wei, H Du, X Chen, Q Li, F Zhuang, J Liu, G Kou IEEE Transactions on Knowledge and Data Engineering, 2022 | 6 | 2022 |
Multi-granularity heterogeneous graph attention networks for extractive document summarization Y Zhao, L Wang, C Wang, H Du, S Wei, H Feng, Z Yu, Q Li Neural Networks 155, 340-347, 2022 | 5 | 2022 |
Improving biomedical named entity recognition by dynamic caching inter-sentence information Y Tong, F Zhuang, H Zhang, C Fang, Y Zhao, D Wang, H Zhu, B Ni Bioinformatics 38 (16), 3976-3983, 2022 | 5 | 2022 |
Minimum edit distance-based text matching algorithm Y Zhao, H Jiang, X Wang Proceedings of the 6th International Conference on Natural Language …, 2010 | 5 | 2010 |
Graph Learning and Its Advancements on Large Language Models: A Holistic Survey S Wei, Y Zhao, X Chen, Q Li, F Zhuang, J Liu, F Ren, G Kou arXiv preprint arXiv:2212.08966, 2022 | 4 | 2022 |
Predicting information diffusion via matrix factorization based model X Hao, G Sheng, Z Yu, L Juncen, P Huacan, G Jun 2014 4th IEEE International Conference on Network Infrastructure and Digital …, 2014 | 4 | 2014 |
Inferring links in cascade through hawkes process based diffusion model L Juncen, G Sheng, Z Yu, X Hao, P Huacan, L Zhiqing 2014 4th IEEE International Conference on Network Infrastructure and Digital …, 2014 | 4 | 2014 |
Graph learning: a comprehensive survey and future directions S Wei, Y Zhao arXiv preprint arXiv:2212.08966, 2022 | 3 | 2022 |