| Anomaly Detection of Time Series With Smoothness-Inducing Sequential Variational Auto-Encoder L Li, J Yan, H Wang, Y Jin IEEE Transactions on Neural Networks and Learning Systems, 2020 | 155 | 2020 |
| Early warning of burst passenger flow in public transportation system H Wang, L Li, P Pan, Y Wang, Y Jin Transportation Research Part C: Emerging Technologies 105, 580-598, 2019 | 38 | 2019 |
| Online detection of abnormal passenger out-flow in urban metro system H Wang, L Li, P Pan, Y Wang, Y Jin Neurocomputing 359, 327-340, 2019 | 22 | 2019 |
| Peak-Hour Subway Passenger Flow Forecasting: A Tensor Based Approach P Pan, H Wang, L Li, Y Wang, Y Jin 2018 21st International Conference on Intelligent Transportation Systems …, 2018 | 10 | 2018 |
| Differential Privacy with Variant-Noise for Gaussian Processes Classification Z Xiong, L Li, J Yan, H Wang, H He, Y Jin Pacific Rim International Conference on Artificial Intelligence, 107-119, 2019 | 6 | 2019 |
| Early Warning of City-Scale Unusual Social Event on Public Transportation Smartcard Data H Wang, X Chen, S Qiang, H Zhang, Y Wang, J Shi, Y Jin 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, Advanced …, 2016 | 6 | 2016 |
| Discovering mass activities using anomalies in individual mobility motifs Z Li, H Wang, X Chen, Y Wang, Y Jin, W Zhang 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, Advanced …, 2016 | 4 | 2016 |
| Discovering and modeling meta-structures in human behavior from city-scale cellular data X Chen, H Wang, S Qiang, Y Wang, Y Jin Pervasive and Mobile Computing 40, 464-479, 2017 | 2 | 2017 |
| OMNIRank: Risk Quantification for P2P Platforms with Deep Learning H Zhang, H Wang, X Chen, Y Wang, Y Jin arXiv preprint arXiv:1705.03497, 2017 | 1 | 2017 |
