Liyue Chen
Orcid: 0009-0004-9484-0605
According to our database1,
Liyue Chen
authored at least 16 papers
between 2017 and 2024.
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Bibliography
2024
STORM: A Spatio-Temporal Context-Aware Model for Predicting Event-Triggered Abnormal Crowd Traffic.
IEEE Trans. Intell. Transp. Syst., October, 2024
CoRR, 2024
Efficient User Sequence Learning for Online Services via Compressed Graph Neural Networks.
Proceedings of the IEEE International Conference on Web Services, 2024
A Unified Model for Spatio-Temporal Prediction Queries with Arbitrary Modifiable Areal Units.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
A Method for Multi-source Heterogeneous Log Correlation Based on Conditional Independence.
Proceedings of the 2024 International Conference on Cloud Computing and Big Data, 2024
Proceedings of the IEEE International Conference on Software Services Engineering, 2024
2023
Exploring the Generalizability of Spatio-Temporal Traffic Prediction: Meta-Modeling and an Analytic Framework.
IEEE Trans. Knowl. Data Eng., April, 2023
CoRR, 2023
A Data-driven Region Generation Framework for Spatiotemporal Transportation Service Management.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Research on the Construction and Application of Intelligent IoT System under Source Network Load Storage Collaboration.
Proceedings of the IEEE Sustainable Power and Energy Conference, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
2022
Temperature Prediction of Seasonal Frozen Subgrades Based on CEEMDAN-LSTM Hybrid Model.
Sensors, 2022
J. Assoc. Inf. Sci. Technol., 2022
2021
CoRR, 2021
2020
Exploring the Generalizability of Spatio-Temporal Crowd Flow Prediction: Meta-Modeling and an Analytic Framework.
CoRR, 2020
2017
Propagator or Influencer?: A Data-driven Approach for Evaluating Emotional Effect in Online Information Diffusion.
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017