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Yongqi Zhang
Yongqi Zhang
Assistant Professor in HKUST(GZ)
Verified email at hkust-gz.edu.cn - Homepage
Title
Cited by
Cited by
Year
NSCaching: simple and efficient negative sampling for knowledge graph embedding
Y Zhang, Q Yao, Y Shao, L Chen
2019 IEEE 35th International Conference on Data Engineering (ICDE), 614-625, 2019
1402019
Knowledge graph reasoning with relational digraph
Y Zhang, Q Yao
Proceedings of the ACM web conference 2022, 912-924, 2022
892022
AutoSF: Searching Scoring Functions for Knowledge Graph Embedding
Y Zhang, Q Yao, W Dai, L Chen
2020 IEEE 36th International Conference on Data Engineering (ICDE), 433-444, 2020
842020
Transfer components between subjects for EEG-based driving fatigue detection
YQ Zhang, WL Zheng, BL Lu
Neural Information Processing: 22nd International Conference, ICONIP 2015 …, 2015
352015
Interstellar: Searching recurrent architecture for knowledge graph embedding
Y Zhang, Q Yao, L Chen
Advances in Neural Information Processing Systems 33, 10030-10040, 2020
28*2020
Adaprop: Learning adaptive propagation for graph neural network based knowledge graph reasoning
Y Zhang, Z Zhou, Q Yao, X Chu, B Han
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
24*2023
Efficient hyper-parameter search for knowledge graph embedding
Y Zhang, Z Zhou, Q Yao, Y Li
Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022
20*2022
Bilinear scoring function search for knowledge graph learning
Y Zhang, Q Yao, JT Kwok
IEEE transactions on pattern analysis and machine intelligence 45 (2), 1458-1473, 2022
182022
Combining Self-Supervised and Supervised Learning with Noisy Labels
Y Zhang, H Zhang, Q Yao, J Wan
2023 IEEE International Conference on Image Processing (ICIP), 605-609, 2023
17*2023
Efficient relation-aware scoring function search for knowledge graph embedding
DI Shimin, YAO Quanming, Y Zhang, C Lei
2021 IEEE 37th International Conference on Data Engineering (ICDE), 1104-1115, 2021
162021
Simple and automated negative sampling for knowledge graph embedding
Y Zhang, Q Yao, L Chen
The VLDB Journal 30 (2), 259-285, 2021
14*2021
Emerging drug interaction prediction enabled by a flow-based graph neural network with biomedical network
Y Zhang, Q Yao, L Yue, X Wu, Z Zhang, Z Lin, Y Zheng
Nature Computational Science 3 (12), 1023-1033, 2023
112023
Xogan: One-to-many unsupervised image-to-image translation
Y Zhang
arXiv preprint arXiv:1805.07277, 2018
112018
Relation-aware Ensemble Learning for Knowledge Graph Embedding
L Yue, Y Zhang, Q Yao, Y Li, X Wu, Z Zhang, Z Lin, Y Zheng
Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023
42023
Understanding Expressivity of GNN in Rule Learning
H Qiu, Y Zhang, Y Li
The Twelfth International Conference on Learning Representations, 0
4*
Positive-unlabeled node classification with structure-aware graph learning
H Yang, Y Zhang, Q Yao, J Kwok
Proceedings of the 32nd ACM International Conference on Information and …, 2023
32023
Learning to describe for predicting zero-shot drug-drug interactions
F Zhu, Y Zhang, L Chen, B Qin, R Xu
arXiv preprint arXiv:2403.08377, 2024
22024
Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs
Z Zhou, Y Zhang, J Yao, Q Yao, B Han
arXiv preprint arXiv:2403.10231, 2024
12024
Dynamic spatial–temporal model for carbon emission forecasting
M Gong, Y Zhang, J Li, L Chen
Journal of Cleaner Production 463, 142581, 2024
2024
BP4ER: Bootstrap Prompting for Explicit Reasoning in Medical Dialogue Generation
Y He, Y Zhang, S He, J Wan
arXiv preprint arXiv:2403.19414, 2024
2024
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