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Chenjuan Guo
Chenjuan Guo
Associate Professor, Aalborg University
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Outlier detection for time series with recurrent autoencoder ensembles.
T Kieu, B Yang, C Guo, CS Jensen
IJCAI, 2725-2732, 2019
2812019
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
2312015
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
1572013
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
1332014
Toward personalized, context-aware routing
B Yang, C Guo, Y Ma, CS Jensen
The VLDB Journal 24, 297-318, 2015
1052015
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
932019
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
862012
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
842018
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
832018
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
822020
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
802016
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
792018
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
762015
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
732022
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
672018
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
582018
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
572015
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
532022
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
532019
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
482021
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