עקוב אחר
Chenjuan Guo
Chenjuan Guo
Professor, East China Normal University
כתובת אימייל מאומתת בדומיין dase.ecnu.edu.cn
כותרת
צוטט על ידי
צוטט על ידי
שנה
Outlier detection for time series with recurrent autoencoder ensembles.‏
T Kieu, B Yang, C Guo, CS Jensen‏
Ijcai, 2725-2732, 2019‏
3452019
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
2512015
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
1672013
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
1462022
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
1462014
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
1182022
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
1162019
Toward personalized, context-aware routing‏
B Yang, C Guo, Y Ma, CS Jensen‏
The VLDB Journal 24, 297-318, 2015‏
1092015
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
992020
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
952018
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
932018
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
922018
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
842016
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
832015
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
772021
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
742018
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
702022
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
652022
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מאמרים 1–20