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Quanyu Dai (戴全宇)
Quanyu Dai (戴全宇)
Huawei Noah's Ark Lab
Bestätigte E-Mail-Adresse bei connect.polyu.hk
Titel
Zitiert von
Zitiert von
Jahr
Adversarial network embedding
Q Dai, Q Li, J Tang, D Wang
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2552018
SimpleX: A Simple and Strong Baseline for Collaborative Filtering
K Mao, J Zhu, J Wang, Q Dai, Z Dong, X Xiao, X He
Proceedings of the 30th ACM International Conference on Information …, 2021
1172021
Adversarial Training Methods for Network Embedding
Q Dai, X Shen, L Zhang, Q Li, D Wang
The World Wide Web Conference, 329-339, 2019
1052019
Network Together: Node Classification via Cross-Network Deep Network Embedding
X Shen, Q Dai, S Mao, F Chung, KS Choi
IEEE Transactions on Neural Networks and Learning Systems, 2020
97*2020
Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution
Q Dai, XM Wu, J Xiao, X Shen, D Wang
IEEE Transactions on Knowledge and Data Engineering, 2022
902022
Adversarial Deep Network Embedding for Cross-Network Node Classification
X Shen, Q Dai, F Chung, W Lu, KS Choi
Proceedings of the AAAI Conference on Artificial Intelligence 34 (03), 2991-2999, 2020
752020
Bars: Towards open benchmarking for recommender systems
J Zhu, Q Dai, L Su, R Ma, J Liu, G Cai, X Xiao, R Zhang
Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022
612022
On the Opportunity of Causal Learning in Recommendation Systems: Foundation, Estimation, Prediction and Challenges
P Wu, H Li, Y Deng, W Hu, Q Dai, Z Dong, J Sun, R Zhang, XH Zhou
IJCAI, 2022
532022
Top-N Recommendation with Counterfactual User Preference Simulation
M Yang, Q Dai, Z Dong, X Chen, X He, J Wang
Proceedings of the 30th ACM International Conference on Information …, 2021
492021
A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction
Q Dai, H Li, P Wu, Z Dong, XH Zhou, R Zhang, R Zhang, J Sun
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
302022
Out-of-distribution Detection with Implicit Outlier Transformation
Q Wang, J Ye, F Liu, Q Dai, M Kalander, T Liu, J Hao, B Han
arXiv preprint arXiv:2303.05033, 2023
292023
An attention-based model for conversion rate prediction with delayed feedback via post-click calibration
Y Su, L Zhang, Q Dai, B Zhang, J Yan, D Wang, Y Bao, S Xu, Y He, W Yan
International Joint Conference on Artificial Intelligence-Pacific Rim …, 2020
292020
Personalized knowledge-aware recommendation with collaborative and attentive graph convolutional networks
Q Dai, XM Wu, L Fan, Q Li, H Liu, X Zhang, D Wang, G Lin, K Yang
Pattern Recognition 128, 108628, 2022
252022
Boosting Deep CTR Prediction with a Plug-and-Play Pre-trainer for News Recommendation
Q Liu, J Zhu, Q Dai, X Wu
Proceedings of the 29th International Conference on Computational …, 2022
232022
Social attentive deep Q-networks for recommender systems
Y Lei, Z Wang, W Li, H Pei, Q Dai
IEEE Transactions on Knowledge and Data Engineering 34 (5), 2443-2457, 2020
232020
Metadata-driven Task Relation Discovery for Multi-task Learning.
Z Zheng, Y Wang, Q Dai, H Zheng, D Wang
IJCAI, 4426-4432, 2019
212019
Multiple robust learning for recommendation
H Li, Q Dai, Y Li, Y Lyu, Z Dong, XH Zhou, P Wu
Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4417-4425, 2023
202023
Optimal transport for treatment effect estimation
H Wang, J Fan, Z Chen, H Li, W Liu, T Liu, Q Dai, Y Wang, Z Dong, ...
Advances in Neural Information Processing Systems 36, 2024
172024
Counteracting User Attention Bias in Music Streaming Recommendation via Reward Modification
X Zhang, S Dai, J Xu, Z Dong, Q Dai, JR Wen
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
172022
Dimensionwise Separable 2-D Graph Convolution for Unsupervised and Semi-Supervised Learning on Graphs
Q Li, X Zhang, H Liu, Q Dai, XM Wu
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
14*2021
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