Kan Ren
Kan Ren
Microsoft Research
Verified email at microsoft.com - Homepage
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
842016
Real-time bidding by reinforcement learning in display advertising
H Cai, K Ren, W Zhang, K Malialis, J Wang, Y Yu, D Guo
Proceedings of the Tenth ACM International Conference on Web Search and Data K, 2017
642017
Dynamic attention deep model for article recommendation by learning human editors' demonstration
X Wang, L Yu, K Ren, G Tao, W Zhang, Y Yu, J Wang
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge K, 2017
622017
Activation Maximization Generative Adversarial Nets
Z Zhou, H Cai, S Rong, Y Song, K Ren, W Zhang, Y Yu, J Wang
ICLR 2018, 2018
25*2018
Bidding machine: Learning to bid for directly optimizing profits in display advertising
K Ren, W Zhang, K Chang, Y Rong, Y Yu, J Wang
IEEE Transactions on Knowledge and Data Engineering 30 (4), 645-659, 2017
152017
User response learning for directly optimizing campaign performance in display advertising
K Ren, W Zhang, Y Rong, H Zhang, Y Yu, J Wang
Proceedings of the 25th ACM International on Conference on Information and K, 2016
142016
Functional bid landscape forecasting for display advertising
Y Wang, K Ren, W Zhang, J Wang, Y Yu
Joint European Conference on Machine Learning and Knowledge Discovery in K, 2016
112016
A graph traversal based approach to answer non-aggregation questions over DBpedia
C Zhu, K Ren, X Liu, H Wang, Y Tian, Y Yu
Joint International Semantic Technology Conference, 219-234, 2015
112015
Learning multi-touch conversion attribution with dual-attention mechanisms for online advertising
K Ren, Y Fang, W Zhang, S Liu, J Li, Y Zhang, Y Yu, J Wang
Proceedings of the 27th ACM International Conference on Information and K, 2018
52018
Guiding the One-to-one Mapping in CycleGAN via Optimal Transport
G Lu, Z Zhou, Y Song, K Ren, Y Yu
Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI-19), 2019
32019
Managing risk of bidding in display advertising
H Zhang, W Zhang, Y Rong, K Ren, W Li, J Wang
Proceedings of the Tenth ACM International Conference on Web Search and Data K, 2017
32017
Optimal real-time bidding frameworks discussion
W Zhang, K Ren, J Wang
arXiv preprint arXiv:1602.01007, 2016
32016
Deep Recurrent Survival Analysis
K Ren, J Qin, L Zheng, Z Yang, W Zhang, L Qiu, Y Yu
Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI-19), 2019
22019
Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction
K Ren, J Qin, Y Fang, W Zhang, L Zheng, W Bian, G Zhou, J Xu, Y Yu, ...
arXiv preprint arXiv:1905.00758, 2019
12019
Volume Ranking and Sequential Selection in Programmatic Display Advertising
Y Song, K Ren, H Cai, W Zhang, Y Yu
Proceedings of the 2017 ACM on Conference on Information and Knowledge K, 2017
12017
Deep Landscape Forecasting for Real-time Bidding Advertising
K Ren, J Qin, L Zheng, Z Yang, W Zhang, Y Yu
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge K, 2019
2019
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