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Kan Ren
Kan Ren
Dirección de correo verificada de shanghaitech.edu.cn - Página principal
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Citado por
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Año
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
7282016
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 …, 2017
2912017
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 …, 2017
1782017
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
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
1322019
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 …, 2019
1182019
Activation Maximization Generative Adversarial Nets
Z Zhou, H Cai, S Rong, Y Song, K Ren, W Zhang, Y Yu, J Wang
ICLR 2018, 2018
1102018
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
962017
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 …, 2020
492020
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 …, 2016
482016
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 …, 2019
422019
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 …, 2018
422018
Universal trading for order execution with oracle policy distillation
Y Fang, K Ren, W Liu, D Zhou, W Zhang, J Bian, Y Yu, TY Liu
Proceedings of the AAAI Conference on Artificial Intelligence 35 (1), 107-115, 2021
402021
Functional bid landscape forecasting for display advertising
Y Wang, K Ren, W Zhang, J Wang, Y Yu
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2016
402016
Bootstrapped transformer for offline reinforcement learning
K Wang, H Zhao, X Luo, K Ren, W Zhang, D Li
Advances in Neural Information Processing Systems 35, 34748-34761, 2022
372022
Towards generating real-world time series data
H Pei, K Ren, Y Yang, C Liu, T Qin, D Li
2021 IEEE International Conference on Data Mining (ICDM), 469-478, 2021
342021
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 …, 2020
262020
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
262019
A graph traversal based approach to answer non-aggregation questions over DBpedia
C Zhu, K Ren, X Liu, H Wang, Y Tian, Y Yu
Semantic Technology: 5th Joint International Conference, JIST 2015, Yichang …, 2016
262016
Domain generalization using pretrained models without fine-tuning
Z Li, K Ren, X Jiang, B Li, H Zhang, D Li
arXiv preprint arXiv:2203.04600, 2022
252022
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