Recurrent neural networks for multivariate time series with missing values Z Che, S Purushotham, K Cho, D Sontag, Y Liu Nature Scientific reports 8 (1), 6085, 2018 | 862 | 2018 |

Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting Y Li, R Yu, C Shahabi, Y Liu ICLR, 2018 | 644 | 2018 |

Csi: A hybrid deep model for fake news detection N Ruchansky, S Seo, Y Liu Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 451 | 2017 |

Topic-link LDA: joint models of topic and author community Y Liu, A Niculescu-Mizil, W Gryc proceedings of the 26th annual international conference on machine learning …, 2009 | 374 | 2009 |

The DARPA Twitter bot challenge VS Subrahmanian, A Azaria, S Durst, V Kagan, A Galstyan, K Lerman, ... Computer 49 (6), 38-46, 2016 | 340 | 2016 |

Temporal causal modeling with graphical granger methods A Arnold, Y Liu, N Abe Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007 | 291 | 2007 |

Adaptive gradient methods with dynamic bound of learning rate L Luo, Y Xiong, Y Liu, X Sun arXiv preprint arXiv:1902.09843, 2019 | 271 | 2019 |

Text mining for product attribute extraction R Ghani, K Probst, Y Liu, M Krema, A Fano ACM SIGKDD Explorations Newsletter 8 (1), 41-48, 2006 | 238 | 2006 |

Deep learning: A generic approach for extreme condition traffic forecasting R Yu, Y Li, C Shahabi, U Demiryurek, Y Liu Proceedings of the 2017 SIAM International Conference on Data Mining, 777-785, 2017 | 236 | 2017 |

Deep computational phenotyping Z Che, D Kale, W Li, MT Bahadori, Y Liu Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015 | 224 | 2015 |

Interpretable Convolutional Neural Networks with Dual Local and Global Attention for Review Rating Prediction S Seo, J Huang, H Yang, Y Liu Proceedings of the Eleventh ACM Conference on Recommender Systems, 297-305, 2017 | 216 | 2017 |

Kernel conditional random fields: representation and clique selection J Lafferty, X Zhu, Y Liu Proceedings of the twenty-first international conference on Machine learning, 64, 2004 | 204 | 2004 |

On predicting rare classes with SVM ensembles in scene classification R Yan, Y Liu, R Jin, A Hauptmann Acoustics, Speech, and Signal Processing, 2003. Proceedings.(ICASSP'03 …, 2003 | 199 | 2003 |

Collaborative topic regression with social matrix factorization for recommendation systems S Purushotham, Y Liu, CCJ Kuo arXiv preprint arXiv:1206.4684, 2012 | 193 | 2012 |

Benchmark of Deep Learning Models on Large Healthcare MIMIC Datasets S Purushotham, C Meng, Z Che, Y Liu Journal of biomedical informatics, 2018 | 190 | 2018 |

Interpretable deep models for ICU outcome prediction Z Che, S Purushotham, R Khemani, Y Liu AMIA Annual Symposium Proceedings 2016, 371, 2016 | 189 | 2016 |

Grouped graphical Granger modeling for gene expression regulatory networks discovery AC Lozano, N Abe, Y Liu, S Rosset Bioinformatics 25 (12), i110-i118, 2009 | 167 | 2009 |

Spatiotemporal multi-graph convolution network for ride-hailing demand forecasting X Geng, Y Li, L Wang, L Zhang, Q Yang, J Ye, Y Liu 2019 AAAI Conference on Artificial Intelligence (AAAI’19), 2019 | 166 | 2019 |

EBM: an entropy-based model to infer social strength from spatiotemporal data H Pham, C Shahabi, Y Liu Proceedings of the 2013 ACM SIGMOD International Conference on Management of …, 2013 | 161 | 2013 |

What is tumblr: A statistical overview and comparison Y Chang, L Tang, Y Inagaki, Y Liu ACM SIGKDD Explorations Newsletter 16 (1), 21-29, 2014 | 146 | 2014 |