| 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 | 667 | 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 | 259 | 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 | 171 | 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 | 136 | 2020 |
| 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 | 116 | 2019 |
| Activation Maximization Generative Adversarial Nets Z Zhou, H Cai, S Rong, Y Song, K Ren, W Zhang, Y Yu, J Wang ICLR 2018, 2018 | 108 | 2018 |
| 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 | 102 | 2019 |
| 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 | 87 | 2017 |
| 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 | 44 | 2016 |
| 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 | 40 | 2018 |
| 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 | 39 | 2020 |
| 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 | 38 | 2021 |
| 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 ¡K, 2016 | 35 | 2016 |
| 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 | 34 | 2019 |
| 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 ¡K, 2016 | 26 | 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 | 25 | 2020 |
| 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 | 24 | 2022 |
| 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 | 24 | 2019 |
| 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 | 19 | 2021 |
| CoPE: modeling continuous propagation and evolution on interaction graph Y Zhang, Y Xiong, D Li, C Shan, K Ren, Y Zhu Proceedings of the 30th ACM International Conference on Information ¡K, 2021 | 19 | 2021 |
Weinan ZhangAssociate Professor, Shanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
