Sledovat
Chenjuan Guo
Chenjuan Guo
Professor, East China Normal University
E-mailová adresa ověřena na: dase.ecnu.edu.cn
Název
Citace
Citace
Rok
Outlier detection for time series with recurrent autoencoder ensembles.
T Kieu, B Yang, C Guo, CS Jensen
IJCAI, 2725-2732, 2019
3442019
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
2602015
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
1702013
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
1452022
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
1452014
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
1142019
Toward personalized, context-aware routing
B Yang, C Guo, Y Ma, CS Jensen
The VLDB Journal 24, 297-318, 2015
1102015
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
1092022
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
1002020
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
922018
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
912018
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
902018
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
892012
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
852016
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
822015
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
752021
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
742021
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
722018
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
702022
Robust and explainable autoencoders for unsupervised time series outlier detection
T Kieu, B Yang, C Guo, CS Jensen, Y Zhao, F Huang, K Zheng
2022 IEEE 38th International Conference on Data Engineering (ICDE), 3038-3050, 2022
682022
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Články 1–20