| Efficient processing of k nearest neighbor joins using mapreduce W Lu, Y Shen, S Chen, BC Ooi arXiv preprint arXiv:1207.0141, 2012 | 300 | 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 | 266 | 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 | 79 | 2014 |
| 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 | 52 | 2015 |
| Big sensor data applications in urban environments LM Ang, KP Seng Big Data Research 4, 1-12, 2016 | 49 | 2016 |
| 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 | 40 | 2014 |
| 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 | 30 | 2018 |
| A neural attention model for urban air quality inference: Learning the weights of monitoring stations W Cheng, Y Shen, Y Zhu, L Huang Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 22 | 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 | 17 | 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 | 14 | 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 | 13 | 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 | 8 | 2018 |
| Stock price prediction using attention-based multi-input LSTM H Li, Y Shen, Y Zhu Asian Conference on Machine Learning, 454-469, 2018 | 8 | 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 | 7 | 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 | 6 | 2018 |
| 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 | 4 | 2019 |
| Nvht: An efficient key-value storage library for non-volatile memory J Zhou, Y Shen, S Li, L Huang 2016 IEEE/ACM 3rd International Conference on Big Data Computing …, 2016 | 4 | 2016 |
| Dmdp: A dynamic multi-source default probability prediction framework Y Zhao, Y Shen, Y Huang Data Science and Engineering 4 (1), 3-13, 2019 | 3 | 2019 |
| NVHT: An efficient key–value storage library for non-volatile memory K Huang, J Zhou, L Huang, Y Shen Journal of Parallel and Distributed Computing 120, 339-354, 2018 | 3 | 2018 |
| A GPU-accelerated framework for processing trajectory queries B Zhang, Y Shen, Y Zhu, J Yu 2018 IEEE 34th International Conference on Data Engineering (ICDE), 1037-1048, 2018 | 3 | 2018 |
