Kan Ren
Kan Ren
Microsoft Research
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
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
2392016
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
1252017
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
1092017
Activation Maximization Generative Adversarial Nets
Z Zhou, H Cai, S Rong, Y Song, K Ren, W Zhang, Y Yu, J Wang
ICLR 2018, 2018
51*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
332017
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
232019
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
232016
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, ...
Proceedings of the 42nd International ACM SIGIR Conference on Research and K, 2019
222019
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
222016
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
202015
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
162018
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
102019
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
102019
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
92017
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 K, 2020
82020
Sequential recommendation with dual side neighbor-based collaborative relation modeling
J Qin, K Ren, Y Fang, W Zhang, Y Yu
Proceedings of the 13th international conference on web search and data K, 2020
72020
Optimal real-time bidding frameworks discussion
W Zhang, K Ren, J Wang
arXiv preprint arXiv:1602.01007, 2016
52016
A deep recurrent survival model for unbiased ranking
J Jin, Y Fang, W Zhang, K Ren, G Zhou, J Xu, Y Yu, J Wang, X Zhu, K Gai
Proceedings of the 43rd International ACM SIGIR Conference on Research and K, 2020
42020
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
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