Chenjuan Guo
Orcid: 0000-0002-4516-4637
According to our database1,
Chenjuan Guo
authored at least 67 papers
between 2010 and 2024.
Collaborative distances:
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Bibliography
2024
CoRR, 2024
Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting.
CoRR, 2024
2023
Proc. VLDB Endow., December, 2023
Proc. VLDB Endow., December, 2023
IEEE Trans. Knowl. Data Eng., October, 2023
AutoCTS+: Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting.
Proc. ACM Manag. Data, 2023
Proc. ACM Manag. Data, 2023
CoRR, 2023
LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation - Extended Version.
CoRR, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
2022
Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting.
CoRR, 2022
A Comparative Study on Unsupervised Anomaly Detection for Time Series: Experiments and Analysis.
CoRR, 2022
Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting-Full Version.
CoRR, 2022
Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection - Extended Version.
CoRR, 2022
Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning - Extended Version.
CoRR, 2022
CoRR, 2022
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
Anomaly Detection in Time Series with Robust Variational Quasi-Recurrent Autoencoders.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
2021
Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles.
Proc. VLDB Endow., 2021
Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles - Extended Version.
CoRR, 2021
Graph Attention Recurrent Neural Networks for Correlated Time Series Forecasting - Full version.
CoRR, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
2020
Proceedings of the 21st IEEE International Conference on Mobile Data Management, 2020
Stochastic Origin-Destination Matrix Forecasting Using Dual-Stage Graph Convolutional, Recurrent Neural Networks.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020
2019
Proc. VLDB Endow., 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019
2018
Risk-aware path selection with time-varying, uncertain travel costs: a time series approach.
VLDB J., 2018
CoRR, 2018
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018
Distinguishing Trajectories from Different Drivers using Incompletely Labeled Trajectories.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
2016
Proceedings of the 19th International Conference on Extending Database Technology, 2016
2015
EcoMark 2.0: empowering eco-routing with vehicular environmental models and actual vehicle fuel consumption data.
GeoInformatica, 2015
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015
2014
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014
2013
Proceedings of the Advanced Query Processing, Volume 1: Issues and Trends, 2013
Trans. Large Scale Data Knowl. Centered Syst., 2013
Travel Cost Inference from Sparse, Spatio-Temporally Correlated Time Series Using Markov Models.
Proc. VLDB Endow., 2013
Proceedings of the Big Data - 29th British National Conference on Databases, 2013
2012
Trans. Large Scale Data Knowl. Centered Syst., 2012
Proceedings of the SIGSPATIAL 2012 International Conference on Advances in Geographic Information Systems (formerly known as GIS), 2012
2011
PhD thesis, 2011
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011
2010
Proceedings of the 2010 EDBT/ICDT Workshops, Lausanne, Switzerland, March 22-26, 2010, 2010