| 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 | 199 | 2015 |
| Outlier Detection for Time Series with Recurrent Autoencoder Ensembles. T Kieu, B Yang, C Guo, CS Jensen IJCAI, 2725-2732, 2019 | 189 | 2019 |
| 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 | 146 | 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 | 126 | 2014 |
| Toward personalized, context-aware routing B Yang, C Guo, Y Ma, CS Jensen The VLDB Journal 24, 297-318, 2015 | 98 | 2015 |
| 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 | 78 | 2012 |
| 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 | 77 | 2018 |
| 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 | 76 | 2019 |
| 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 | 75 | 2016 |
| 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 | 69 | 2020 |
| 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 | 69 | 2015 |
| 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 | 68 | 2018 |
| 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 | 67 | 2018 |
| 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 | 61 | 2018 |
| 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 | 55 | 2018 |
| Ecosky: Reducing vehicular environmental impact through eco-routing C Guo, B Yang, O Andersen, CS Jensen, K Torp 2015 IEEE 31st International Conference on Data Engineering, 1412-1415, 2015 | 55 | 2015 |
| Towards total traffic awareness C Guo, CS Jensen, B Yang ACM SIGMOD Record 43 (3), 18-23, 2014 | 44 | 2014 |
| Real-time distributed co-movement pattern detection on streaming trajectories L Chen, Y Gao, Z Fang, X Miao, CS Jensen, C Guo Proceedings of the VLDB Endowment 12 (10), 1208-1220, 2019 | 39 | 2019 |
| Context-aware, preference-based vehicle routing C Guo, B Yang, J Hu, CS Jensen, L Chen The VLDB Journal 29, 1149-1170, 2020 | 36 | 2020 |
| Graph attention recurrent neural networks for correlated time series forecasting RG Cirstea, B Yang, C Guo MileTS19@ KDD, 1-6, 2019 | 28 | 2019 |
Bin Yang (杨彬)Aalborg UniversityVerified email at cs.aau.dk
