| Efficient processing of k nearest neighbor joins using mapreduce W Lu, Y Shen, S Chen, BC Ooi arXiv preprint arXiv:1207.0141, 2012 | 318 | 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 | 302 | 2012 |
| 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 | 90 | 2014 |
| Big sensor data applications in urban environments LM Ang, KP Seng Big Data Research 4, 1-12, 2016 | 62 | 2016 |
| 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 | 59 | 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 | 59 | 2015 |
| 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 | 45 | 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 | 42 | 2018 |
| 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 | 32 | 2018 |
| Stock price prediction using attention-based multi-input LSTM H Li, Y Shen, Y Zhu Asian Conference on Machine Learning, 454-469, 2018 | 27 | 2018 |
| 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 | 25 | 2018 |
| DELF: A Dual-Embedding based Deep Latent Factor Model for Recommendation. W Cheng, Y Shen, Y Zhu, L Huang IJCAI 18, 3329-3335, 2018 | 25 | 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 | 21 | 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 | 19 | 2018 |
| 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 | 14 | 2018 |
| Recurrent Neural Network for Text Classification with Hierarchical Multiscale Dense Connections Y Zhao, Y Shen, J Yao IJCAI, 2019 | 8 | 2019 |
| Leveraging app usage contexts for app recommendation: a neural approach Y Xu, Y Zhu, Y Shen, J Yu World Wide Web 22 (6), 2721-2745, 2019 | 7 | 2019 |
| Dmdp: A dynamic multi-source default probability prediction framework Y Zhao, Y Shen, Y Huang Data Science and Engineering 4 (1), 3-13, 2019 | 7 | 2019 |
| Relation Extraction via Domain-aware Transfer Learning S Di, Y Shen, L Chen Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 5 | 2019 |
| 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 | 5 | 2019 |
