Qu Yanru
Citado por
Citado por
Wasserstein distance guided representation learning for domain adaptation
J Shen, Y Qu, W Zhang, Y Yu
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018
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
Dynamically fused graph network for multi-hop reasoning
L Qiu, Y Xiao, Y Qu, H Zhou, L Li, W Zhang, Y Yu
Proceedings of the 57th annual meeting of the association for computational …, 2019
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), 1-35, 2018
GIKT: a graph-based interaction model for knowledge tracing
Y Yang, J Shen, Y Qu, Y Liu, K Wang, Y Zhu, W Zhang, Y Yu
Machine learning and knowledge discovery in databases: European conference …, 2021
A simple but tough-to-beat data augmentation approach for natural language understanding and generation
D Shen, M Zheng, Y Shen, Y Qu, W Chen
arXiv preprint arXiv:2009.13818, 2020
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
Coda: Contrast-enhanced and diversity-promoting data augmentation for natural language understanding
Y Qu, D Shen, Y Shen, S Sajeev, J Han, W Chen
arXiv preprint arXiv:2010.08670, 2020
An end-to-end neighborhood-based interaction model for knowledge-enhanced recommendation
Y Qu, T Bai, W Zhang, J Nie, J Tang
Proceedings of the 1st international workshop on deep learning practice for …, 2019
Multi-document summarization with maximal marginal relevance-guided reinforcement learning
Y Mao, Y Qu, Y Xie, X Ren, J Han
arXiv preprint arXiv:2010.00117, 2020
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
The Semantic Web–ISWC 2018: 17th International Semantic Web Conference …, 2018
Event time extraction and propagation via graph attention networks
H Wen, Y Qu, H Ji, Q Ning, J Han, A Sil, H Tong, D Roth
Proceedings of the 2021 Conference of the North American Chapter of the …, 2021
Map: A model-agnostic pretraining framework for click-through rate prediction
J Lin, Y Qu, W Guo, X Dai, R Tang, Y Yu, W Zhang
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
Task-wise split gradient boosting trees for multi-center diabetes prediction
M Chen, Z Wang, Z Zhao, W Zhang, X Guo, J Shen, Y Qu, J Lu, M Xu, ...
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
Collaborative filtering with graph-based implicit feedback
M Niu, R Tang, Y Qu, X He, X Cao, Y Yu
2018 IEEE 3rd International Conference on Cloud Computing and Internet of …, 2018
Unified generative modeling of 3d molecules via bayesian flow networks
Y Song, J Gong, Y Qu, H Zhou, M Zheng, J Liu, WY Ma
arXiv preprint arXiv:2403.15441, 2024
TGE-PS: Text-driven Graph Embedding with Pairs Sampling
L Chen, Y Qu, Z Wang, L Qiu, W Zhang, K Chen, S Zhang, Y Yu
ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction
J Lin, B Chen, H Wang, Y Xi, Y Qu, X Dai, K Zhang, R Tang, Y Yu, ...
Proceedings of the ACM on Web Conference 2024, 3319-3330, 2024
User behavior prediction method and apparatus, and behavior prediction model training method and apparatus
R Tang, NIU Minzhe, QU Yanru, W Zhang, Y Yu
US Patent 11,531,867, 2022
MT-GBDT: Multi-Task Gradient Boosting Decision Tree for Diabetes Prediction
Z Wang, Y Qu, G Sui, J Shen, W Zhang, Z Zhao, G Ning, Y Yu
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Artículos 1–20