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Chenjuan Guo
Chenjuan Guo
Associate Professor, Aalborg University
Verified email at cs.aau.dk - Homepage
Title
Cited by
Cited by
Year
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
1892015
Outlier Detection for Time Series with Recurrent Autoencoder Ensembles.
T Kieu, B Yang, C Guo, CS Jensen
IJCAI, 2725-2732, 2019
1492019
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
1432013
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
1222014
Toward personalized, context-aware routing
B Yang, C Guo, Y Ma, CS Jensen
The VLDB Journal 24 (2), 297-318, 2015
942015
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
762012
PACE: a PAth-CEntric paradigm for stochastic path finding
B Yang, J Dai, C Guo, CS Jensen, J Hu
The VLDB Journal 27 (2), 153-178, 2018
742018
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
732016
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 (3), 567-599, 2015
702015
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
692019
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
632018
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
622018
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 (2), 179-200, 2018
582018
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
552020
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
552015
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
542018
Towards total traffic awareness
C Guo, CS Jensen, B Yang
ACM SIGMOD Record 43 (3), 18-23, 2014
442014
Context-aware, preference-based vehicle routing
C Guo, B Yang, J Hu, CS Jensen, L Chen
The VLDB Journal 29 (5), 1149-1170, 2020
342020
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
302019
Graph attention recurrent neural networks for correlated time series forecasting
RG Cirstea, B Yang, C Guo
MileTS19@ KDD, 2019
232019
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