A Unified Replay-Based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data

Author:

Miao Hao1,Zhao Yan1,Guo Chenjuan1,Yang Bin1,Zheng Kai2,Huang Feiteng3,Xie Jiandong3,Jensen Christian S.1

Affiliation:

1. Aalborg University,Denmark

2. University of Electronic Science and Technology of China,China

3. Huawei Cloud Database Innovation Lab,China

Publisher

IEEE

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detection;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

2. STONE: A Spatio-temporal OOD Learning Framework Kills Both Spatial and Temporal Shifts;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

3. AutoCTS++: zero-shot joint neural architecture and hyperparameter search for correlated time series forecasting;The VLDB Journal;2024-07-30

4. Routing with Massive Trajectory Data;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

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