Efficient processing of k nearest neighbor joins using mapreduce W Lu, Y Shen, S Chen, BC Ooi arXiv preprint arXiv:1207.0141, 2012 | 343 | 2012 |

CDAS: A crowdsourcing data analytics system X Liu, M Lu, BC Ooi, Y Shen, S Wu, M Zhang arXiv preprint arXiv:1207.0143, 2012 | 342 | 2012 |

Predicting multi-step citywide passenger demands using attention-based neural networks X Zhou, Y Shen, Y Zhu, L Huang Proceedings of the Eleventh ACM International Conference on Web Search and …, 2018 | 118 | 2018 |

Discovering queries based on example tuples Y Shen, K Chakrabarti, S Chaudhuri, B Ding, L Novik Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014 | 116 | 2014 |

A neural attention model for urban air quality inference: Learning the weights of monitoring stations W Cheng, Y Shen, Y Zhu, L Huang Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 90 | 2018 |

Stock price prediction using attention-based multi-input LSTM H Li, Y Shen, Y Zhu Asian conference on machine learning, 454-469, 2018 | 84 | 2018 |

Dexter: large-scale discovery and extraction of product specifications on the web D Qiu, L Barbosa, XL Dong, Y Shen, D Srivastava Proceedings of the VLDB Endowment 8 (13), 2194-2205, 2015 | 71 | 2015 |

Next point-of-interest recommendation with temporal and multi-level context attention R Li, Y Shen, Y Zhu 2018 IEEE International Conference on Data Mining (ICDM), 1110-1115, 2018 | 67 | 2018 |

Adaptive factorization network: Learning adaptive-order feature interactions W Cheng, Y Shen, L Huang Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3609-3616, 2020 | 56 | 2020 |

DELF: A Dual-Embedding based Deep Latent Factor Model for Recommendation. W Cheng, Y Shen, Y Zhu, L Huang IJCAI 18, 3329-3335, 2018 | 54 | 2018 |

Fast failure recovery in distributed graph processing systems Y Shen, G Chen, HV Jagadish, W Lu, BC Ooi, BM Tudor Proceedings of the VLDB Endowment 8 (4), 437-448, 2014 | 49 | 2014 |

Inferring dockless shared bike distribution in new cities Z Liu, Y Shen, Y Zhu Proceedings of the eleventh ACM international conference on web search and …, 2018 | 44 | 2018 |

SMOPAT: Mining semantic mobility patterns from trajectories of private vehicles C Wan, Y Zhu, J Yu, Y Shen Information Sciences 429, 12-25, 2018 | 33 | 2018 |

Forecasting wavelet transformed time series with attentive neural networks Y Zhao, Y Shen, Y Zhu, J Yao 2018 IEEE International Conference on Data Mining (ICDM), 1452-1457, 2018 | 31 | 2018 |

Incorporating interpretability into latent factor models via fast influence analysis W Cheng, Y Shen, L Huang, Y Zhu Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 24 | 2019 |

Where Will Dockless Shared Bikes be Stacked? ---Parking Hotspots Detection in a New City Z Liu, Y Shen, Y Zhu Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 23 | 2018 |

Differentiable neural input search for recommender systems W Cheng, Y Shen, L Huang arXiv preprint arXiv:2006.04466, 2020 | 22 | 2020 |

Recurrent Neural Network for Text Classification with Hierarchical Multiscale Dense Connections Y Zhao, Y Shen, J Yao IJCAI, 2019 | 19 | 2019 |

Multi-context attention for entity matching D Zhang, Y Nie, S Wu, Y Shen, KL Tan Proceedings of The Web Conference 2020, 2634-2640, 2020 | 18 | 2020 |

Learning Shared Vertex Representation in Heterogeneous Graphs with Convolutional Networks for Recommendation Y Xu, Y Zhu, Y Shen, J Yu IJCAI, 2019 | 16 | 2019 |