| Outlier detection for time series with recurrent autoencoder ensembles. T Kieu, B Yang, C Guo, CS Jensen IJCAI, 2725-2732, 2019 | 332 | 2019 |
| Personalized route recommendation using big trajectory data J Dai, B Yang, C Guo, Z Ding 2015 IEEE 31st international conference on data engineering, 543-554, 2015 | 254 | 2015 |
| Travel cost inference from sparse, spatio temporally correlated time series using markov models B Yang, C Guo, CS Jensen Proceedings of the VLDB Endowment 6 (9), 769-780, 2013 | 170 | 2013 |
| Stochastic skyline route planning under time-varying uncertainty B Yang, C Guo, CS Jensen, M Kaul, S Shang 2014 IEEE 30th International Conference on Data Engineering, 136-147, 2014 | 143 | 2014 |
| Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting--Full Version RG Cirstea, C Guo, B Yang, T Kieu, X Dong, S Pan arXiv preprint arXiv:2204.13767, 2022 | 122 | 2022 |
| Stochastic weight completion for road networks using graph convolutional networks J Hu, C Guo, B Yang, CS Jensen 2019 IEEE 35th international conference on data engineering (ICDE), 1274-1285, 2019 | 110 | 2019 |
| Toward personalized, context-aware routing B Yang, C Guo, Y Ma, CS Jensen The VLDB Journal 24, 297-318, 2015 | 110 | 2015 |
| Towards spatio-temporal aware traffic time series forecasting RG Cirstea, B Yang, C Guo, T Kieu, S Pan 2022 IEEE 38th International Conference on Data Engineering (ICDE), 2900-2913, 2022 | 97 | 2022 |
| Stochastic origin-destination matrix forecasting using dual-stage graph convolutional, recurrent neural networks J Hu, B Yang, C Guo, CS Jensen, H Xiong 2020 IEEE 36th International conference on data engineering (ICDE), 1417-1428, 2020 | 93 | 2020 |
| Correlated time series forecasting using multi-task deep neural networks RG Cirstea, DV Micu, GM Muresan, C Guo, B Yang Proceedings of the 27th acm international conference on information and …, 2018 | 90 | 2018 |
| PACE: a PAth-CEntric paradigm for stochastic path finding B Yang, J Dai, C Guo, CS Jensen, J Hu The VLDB Journal 27, 153-178, 2018 | 90 | 2018 |
| Learning to route with sparse trajectory sets C Guo, B Yang, J Hu, C Jensen 2018 IEEE 34th International Conference on Data Engineering (ICDE), 1073-1084, 2018 | 89 | 2018 |
| Ecomark: evaluating models of vehicular environmental impact C Guo, Y Ma, B Yang, CS Jensen, M Kaul Proceedings of the 20th International Conference on Advances in Geographic …, 2012 | 88 | 2012 |
| Path cost distribution estimation using trajectory data J Dai, B Yang, C Guo, CS Jensen, J Hu Proceedings of the VLDB Endowment 10 (3), 85-96, 2016 | 84 | 2016 |
| Ecomark 2.0: empowering eco-routing with vehicular environmental models and actual vehicle fuel consumption data C Guo, B Yang, O Andersen, CS Jensen, K Torp GeoInformatica 19, 567-599, 2015 | 80 | 2015 |
| Risk-aware path selection with time-varying, uncertain travel costs: a time series approach J Hu, B Yang, C Guo, CS Jensen The VLDB Journal 27, 179-200, 2018 | 72 | 2018 |
| EnhanceNet: Plugin neural networks for enhancing correlated time series forecasting RG Cirstea, T Kieu, C Guo, B Yang, SJ Pan 2021 IEEE 37th International Conference on Data Engineering (ICDE), 1739-1750, 2021 | 70 | 2021 |
| AutoCTS: Automated correlated time series forecasting X Wu, D Zhang, C Guo, C He, B Yang, CS Jensen Proceedings of the VLDB Endowment 15 (4), 971-983, 2021 | 67 | 2021 |
| Anomaly detection in time series with robust variational quasi-recurrent autoencoders T Kieu, B Yang, C Guo, RG Cirstea, Y Zhao, Y Song, CS Jensen 2022 IEEE 38th International Conference on Data Engineering (ICDE), 1342-1354, 2022 | 65 | 2022 |
| Distinguishing trajectories from different drivers using incompletely labeled trajectories T Kieu, B Yang, C Guo, CS Jensen Proceedings of the 27th ACM international conference on information and …, 2018 | 62 | 2018 |
Bin Yang (杨彬)Aalborg UniversityVerified email at cs.aau.dk