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Xiuqiang He
Xiuqiang He
HKUST, Tencent
Verified email at tencent.com
Title
Cited by
Cited by
Year
DeepFM: a factorization-machine based neural network for CTR prediction
H Guo, R Tang, Y Ye, Z Li, X He
arXiv preprint arXiv:1703.04247, 2017
27462017
Federated meta-learning with fast convergence and efficient communication
F Chen, M Luo, Z Dong, Z Li, X He
arXiv preprint arXiv:1802.07876, 2018
5032018
UltraGCN: ultra simplification of graph convolutional networks for recommendation
K Mao, J Zhu, X Xiao, B Lu, Z Wang, X He
Proceedings of the 30th ACM international conference on information …, 2021
2352021
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
2212018
Autofis: Automatic feature interaction selection in factorization models for click-through rate prediction
B Liu, C Zhu, G Li, W Zhang, J Lai, R Tang, X He, Z Li, Y Yu
proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020
1822020
A general knowledge distillation framework for counterfactual recommendation via uniform data
D Liu, P Cheng, Z Dong, X He, W Pan, Z Ming
Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020
1692020
Interactive recommender system via knowledge graph-enhanced reinforcement learning
S Zhou, X Dai, H Chen, W Zhang, K Ren, R Tang, X He, Y Yu
Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020
1572020
Neighbor interaction aware graph convolution networks for recommendation
J Sun, Y Zhang, W Guo, H Guo, R Tang, X He, C Ma, M Coates
Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020
1472020
Graph heterogeneous multi-relational recommendation
C Chen, W Ma, M Zhang, Z Wang, X He, C Wang, Y Liu, S Ma
Proceedings of the AAAI conference on artificial intelligence 35 (5), 3958-3966, 2021
1372021
Multi-graph convolution collaborative filtering
J Sun, Y Zhang, C Ma, M Coates, H Guo, R Tang, X He
2019 IEEE international conference on data mining (ICDM), 1306-1311, 2019
1362019
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
1162021
Counterfactual contrastive learning for weakly-supervised vision-language grounding
Z Zhang, Z Zhao, Z Lin, X He
Advances in Neural Information Processing Systems 33, 18123-18134, 2020
1062020
UNBERT: User-News Matching BERT for News Recommendation.
Q Zhang, J Li, Q Jia, C Wang, J Zhu, Z Wang, X He
IJCAI 21, 3356-3362, 2021
1042021
Open benchmarking for click-through rate prediction
J Zhu, J Liu, S Yang, Q Zhang, X He
Proceedings of the 30th ACM international conference on information …, 2021
942021
Deep learning for click-through rate estimation
W Zhang, J Qin, W Guo, R Tang, X He
arXiv preprint arXiv:2104.10584, 2021
902021
An embedding learning framework for numerical features in ctr prediction
H Guo, B Chen, R Tang, W Zhang, Z Li, X He
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
832021
A framework for recommending accurate and diverse items using bayesian graph convolutional neural networks
J Sun, W Guo, D Zhang, Y Zhang, F Regol, Y Hu, H Guo, R Tang, H Yuan, ...
Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020
822020
Deepfm: An end-to-end wide & deep learning framework for CTR prediction
H Guo, R Tang, Y Ye, Z Li, X He, Z Dong
arXiv preprint arXiv:1804.04950, 2018
752018
Mitigating confounding bias in recommendation via information bottleneck
D Liu, P Cheng, H Zhu, Z Dong, X He, W Pan, Z Ming
Proceedings of the 15th ACM conference on Recommender systems, 351-360, 2021
732021
Regularized two-branch proposal networks for weakly-supervised moment retrieval in videos
Z Zhang, Z Lin, Z Zhao, J Zhu, X He
Proceedings of the 28th ACM International Conference on Multimedia, 4098-4106, 2020
622020
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Articles 1–20