Deep interest network for click-through rate prediction G Zhou, X Zhu, C Song, Y Fan, H Zhu, X Ma, Y Yan, J Jin, H Li, K Gai Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 796 | 2018 |

Deep Interest Evolution Network for Click-Through Rate Prediction G Zhou, N Mou, Y Fan, Q Pi, W Bian, C Zhou, X Zhu, K Gai AAAI 2019, 2018 | 391 | 2018 |

Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction Q Pi, W Bian, G Zhou, X Zhu, K Gai KDD 2019, 2019 | 89 | 2019 |

Rocket Launching: A Universal and Efficient Framework for Training Well-Performing Light Net G Zhou, Y Fan, R Cui, W Bian, X Zhu, K Gai AAAI 2018, 4580, 2018 | 74 | 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, ... SIGIR 2019, 2019 | 49 | 2019 |

Search-based User Interest Modeling with Lifelong Sequential Behavior Data for Click-Through Rate Prediction P Qi, X Zhu, G Zhou, Y Zhang, Z Wang, L Ren, Y Fan, K Gai CIKM 2020, 2020 | 32 | 2020 |

Image Matters: Jointly Train Advertising CTR Model with Image Representation of Ad and User Behavior T Ge, L Zhao, G Zhou, K Chen, S Liu, H Yi, Z Hu, B Liu, P Sun, H Liu, P Yi, ... CIKM 2018, 2017 | 31* | 2017 |

XDL: an industrial deep learning framework for high-dimensional sparse data B Jiang, C Deng, H Yi, Z Hu, G Zhou, Y Zheng, S Huang, X Guo, D Wang, ... Proceedings of the 1st International Workshop on Deep Learning Practice for …, 2019 | 22 | 2019 |

One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction XR Sheng, L Zhao, G Zhou, X Ding, B Dai, Q Luo, S Yang, J Lv, C Zhang, ... Proceedings of the 30th ACM International Conference on Information …, 2021 | 13 | 2021 |

Cold: Towards the next generation of pre-ranking system Z Wang, L Zhao, B Jiang, G Zhou, X Zhu, K Gai arXiv preprint arXiv:2007.16122, 2020 | 11 | 2020 |

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 SIGIR 2020, 2020 | 11 | 2020 |

CAN: revisiting feature co-action for click-through rate prediction G Zhou, W Bian, K Wu, L Ren, Q Pi, Y Zhang, C Xiao, XR Sheng, N Mou, ... arXiv preprint arXiv:2011.05625, 2020 | 7 | 2020 |

Res-embedding for deep learning based click-through rate prediction modeling G Zhou, K Wu, W Bian, X Zhu, K Gai Proceedings of the 1st International Workshop on Deep Learning Practice for …, 2019 | 5 | 2019 |

Real Negatives Matter: Continuous Training with Real Negatives for Delayed Feedback Modeling S Gu, XR Sheng, Y Fan, G Zhou, X Zhu Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 3 | 2021 |

CAN: Feature Co-Action Network for Click-Through Rate Prediction W Bian, K Wu, L Ren, Q Pi, Y Zhang, C Xiao, XR Sheng, YN Zhu, Z Chan, ... Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022 | 1 | 2022 |

DCAF: A Dynamic Computation Allocation Framework for Online Serving System B Jiang, P Zhang, R Chen, X Luo, Y Yang, G Wang, G Zhou, X Zhu, K Gai arXiv preprint arXiv:2006.09684, 2020 | 1 | 2020 |

3rd International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with KDD 2021 X Zhu, K Lee, G Zhou, B Jiang, Z Wang, R Tang, K Ren, Q Ai, W Zhang Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | | 2021 |

Practice on Pruning CTR Models for Real-world Systems R Chen, Y Zheng, G Zhou, X Luo, J Zhuo, X Qiao, Y Xu, X Zhu | | 2021 |

What Do We Need for Industrial Machine Learning Systems? Bernoulli, A Streaming System with Structured Designs Q Luo, XR Sheng, J Jiang, C Ma, S Wang, H He, P Yi, G Zhang, Y Song, ... | | |