| 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 | 239 | 2016 |
| 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 | 125 | 2017 |
| 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 | 109 | 2017 |
| 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 | 33 | 2017 |
| 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 | 23 | 2019 |
| 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 | 23 | 2016 |
| 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 | 22 | 2019 |
| 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 | 22 | 2016 |
| 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 | 20 | 2015 |
| 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 | 16 | 2018 |
| 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 | 10 | 2019 |
| 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 | 10 | 2019 |
| 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 | 9 | 2017 |
| 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 | 8 | 2020 |
| 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 | 7 | 2020 |
| Optimal real-time bidding frameworks discussion W Zhang, K Ren, J Wang arXiv preprint arXiv:1602.01007, 2016 | 5 | 2016 |
| 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 | 4 | 2020 |
| 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 | 1 | 2017 |
Weinan ZhangAssociate Professor, Shanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
