Qu Yanru
TitleCited byYear
Product-based neural networks for user response prediction
Y Qu, H Cai, K Ren, W Zhang, Y Yu, Y Wen, J Wang
2016 IEEE 16th International Conference on Data Mining (ICDM), 1149-1154, 2016
Wasserstein distance guided representation learning for domain adaptation
J Shen, Y Qu, W Zhang, Y Yu
arXiv preprint arXiv:1707.01217, 2017
Product-based neural networks for user response prediction over multi-field categorical data
Y Qu, B Fang, W Zhang, R Tang, M Niu, H Guo, Y Yu, X He
ACM Transactions on Information Systems (TOIS) 37 (1), 5, 2019
Label-aware double transfer learning for cross-specialty medical named entity recognition
Z Wang, Y Qu, L Chen, J Shen, W Zhang, S Zhang, Y Gao, G Gu, K Chen, ...
arXiv preprint arXiv:1804.09021, 2018
Dynamically Fused Graph Network for Multi-hop Reasoning
Y Xiao, Y Qu, L Qiu, H Zhou, L Li, W Zhang, Y Yu
arXiv preprint arXiv:1905.06933, 2019
QA4IE: A Question Answering based Framework for Information Extraction
L Qiu, H Zhou, Y Qu, W Zhang, S Li, S Rong, D Ru, L Qian, K Tu, Y Yu
International Semantic Web Conference, 198-216, 2018
Collaborative Filtering with Graph-based Implicit Feedback
M Niu, Y Qu, X Cao, R Tang, X He, Y Yu
2017 International Conference on Computer Technology, Electronics and …, 2017
An End-to-End Neighborhood-based Interaction Model forKnowledge-enhanced Recommendation
Y Qu, T Bai, W Zhang, J Nie, J Tang
arXiv preprint arXiv:1908.04032, 2019
Sampled in Pairs and Driven by Text: A New Graph Embedding Framework
L Chen, Y Qu, Z Wang, L Qiu, W Zhang, K Chen, S Zhang, Y Yu
The World Wide Web Conference, 2644-2651, 2019
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