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 | 388 | 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 Proceedings of the AAAI conference on artificial intelligence 33 (01), 5941-5948, 2019 | 160 | 2019 |

Entire space multi-task model: An effective approach for estimating post-click conversion rate X Ma, L Zhao, G Huang, Z Wang, Z Hu, X Zhu, K Gai The 41st International ACM SIGIR Conference on Research & Development in …, 2018 | 40 | 2018 |

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 Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 36 | 2018 |

Practice on long sequential user behavior modeling for click-through rate prediction Q Pi, W Bian, G Zhou, X Zhu, K Gai Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 31 | 2019 |

Learning piece-wise linear models from large scale data for ad click prediction K Gai, X Zhu, H Li, K Liu, Z Wang arXiv preprint arXiv:1704.05194, 2017 | 29 | 2017 |

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 | 22 | 2019 |

Image matters: Visually modeling user behaviors using advanced model server T Ge, L Zhao, G Zhou, K Chen, S Liu, H Yi, Z Hu, B Liu, P Sun, H Liu, P Yi, ... Proceedings of the 27th ACM International Conference on Information and …, 2018 | 16 | 2018 |

Learning similarity metric with SVM X Zhu, P Gong, Z Zhao, C Zhang The 2012 International Joint Conference on Neural Networks (IJCNN), 1-8, 2012 | 14 | 2012 |

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 | 6 | 2019 |

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 | 4 | 2020 |

AMAD: adversarial multiscale anomaly detection on high-dimensional and time-evolving categorical data Z Gao, L Guo, C Ma, X Ma, K Sun, H Xiang, X Zhu, H Li, X Liu Proceedings of the 1st International Workshop on Deep Learning Practice for …, 2019 | 3 | 2019 |

Search-based User Interest Modeling with Lifelong Sequential Behavior Data for Click-Through Rate Prediction Q Pi, G Zhou, Y Zhang, Z Wang, L Ren, Y Fan, X Zhu, K Gai Proceedings of the 29th ACM International Conference on Information …, 2020 | 2 | 2020 |

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 | 2 | 2020 |

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 |

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 | 1 | 2019 |

Computation Resource Allocation Solution in Recommender Systems X Yang, Y Wang, C Chen, Q Tan, C Yu, J Xu, X Zhu arXiv preprint arXiv:2103.02259, 2021 | | 2021 |

Truncation-Free Matching System for Display Advertising at Alibaba J Li, J Liu, S Li, Y Xu, R Cao, Q Li, B Jiang, G Wang, H Zhu, K Gai, X Zhu arXiv preprint arXiv:2102.09283, 2021 | | 2021 |

One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction XR Sheng, L Zhao, G Zhou, X Ding, Q Luo, S Yang, J Lv, C Zhang, X Zhu arXiv preprint arXiv:2101.11427, 2021 | | 2021 |

Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning C Du, Y Zeng, Z Gao, S Yuan, L Gao, Z Li, X Zhu, J Xu, K Gai arXiv preprint arXiv:2012.02298, 2020 | | 2020 |