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Huifeng Guo
Huifeng Guo
Huawei, HIT
Verified email at huawei.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
IJCAI (The most cited paper of IJCAI in the past 5 years), 1725-1731, 2017
13952017
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
1322018
Feature generation by convolutional neural network for click-through rate prediction
B Liu, R Tang, Y Chen, J Yu, H Guo, Y Zhang
The World Wide Web Conference, 1119-1129, 2019
872019
Deep reinforcement learning based recommendation with explicit user-item interactions modeling
F Liu, R Tang, X Li, W Zhang, Y Ye, H Chen, H Guo, Y Zhang
arXiv preprint arXiv:1810.12027, 2018
742018
DSKmeans: a new kmeans-type approach to discriminative subspace clustering
X Huang, Y Ye, H Guo, Y Cai, H Zhang, Y Li
Knowledge-Based Systems 70, 293-300, 2014
582014
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
432019
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
422018
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
392020
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
362020
End-to-end deep reinforcement learning based recommendation with supervised embedding
F Liu, H Guo, X Li, R Tang, Y Ye, X He
Proceedings of the 13th International Conference on Web Search and Data …, 2020
262020
PAL: a position-bias aware learning framework for CTR prediction in live recommender systems
H Guo, J Yu, Q Liu, R Tang, Y Zhang
Proceedings of the 13th ACM Conference on Recommender Systems, 452-456, 2019
262019
Graphsail: Graph structure aware incremental learning for recommender systems
Y Xu, Y Zhang, W Guo, H Guo, R Tang, M Coates
Proceedings of the 29th ACM International Conference on Information …, 2020
202020
State representation modeling for deep reinforcement learning based recommendation
F Liu, R Tang, X Li, W Zhang, Y Ye, H Chen, H Guo, Y Zhang, X He
Knowledge-Based Systems 205, 106170, 2020
202020
AutoGroup: Automatic feature grouping for modelling explicit high-order feature interactions in CTR prediction
B Liu, N Xue, H Guo, R Tang, S Zafeiriou, X He, Z Li
Proceedings of the 43rd International ACM SIGIR conference on research and …, 2020
202020
Field-aware probabilistic embedding neural network for ctr prediction
W Liu, R Tang, J Li, J Yu, H Guo, X He, S Zhang
Proceedings of the 12th ACM Conference on Recommender Systems, 412-416, 2018
172018
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
16*2021
Order-aware embedding neural network for CTR prediction
W Guo, R Tang, H Guo, J Han, W Yang, Y Zhang
Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019
112019
Dual graph enhanced embedding neural network for ctr prediction
W Guo, R Su, R Tan, H Guo, Y Zhang, Z Liu, R Tang, X He
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
102021
Top-aware reinforcement learning based recommendation
F Liu, R Tang, H Guo, X Li, Y Ye, X He
Neurocomputing 417, 255-269, 2020
102020
A practical incremental method to train deep ctr models
Y Wang, H Guo, R Tang, Z Liu, X He
arXiv preprint arXiv:2009.02147, 2020
102020
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