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Feiteng Huang
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2020 – today
- 2024
- [c5]Hao Miao, Yan Zhao, Chenjuan Guo, Bin Yang, Kai Zheng, Feiteng Huang, Jiandong Xie, Christian S. Jensen:
A Unified Replay-Based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data. ICDE 2024: 1050-1062 - [i5]Hao Miao, Yan Zhao, Chenjuan Guo, Bin Yang, Kai Zheng, Feiteng Huang, Jiandong Xie, Christian S. Jensen:
A Unified Replay-based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data. CoRR abs/2404.14999 (2024) - 2022
- [c4]Jiandong Xie, Yue Cui
, Feiteng Huang, Chao Liu, Kai Zheng:
MARINA: An MLP-Attention Model for Multivariate Time-Series Analysis. CIKM 2022: 2230-2239 - [c3]Tung Kieu
, Bin Yang
, Chenjuan Guo, Christian S. Jensen, Yan Zhao, Feiteng Huang, Kai Zheng:
Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection. ICDE 2022: 3038-3050 - [i4]Tung Kieu
, Bin Yang
, Chenjuan Guo, Christian S. Jensen, Yan Zhao, Feiteng Huang, Kai Zheng:
Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection - Extended Version. CoRR abs/2204.03341 (2022) - [i3]Yan Zhao, Liwei Deng, Xuanhao Chen, Chenjuan Guo, Bin Yang
, Tung Kieu
, Feiteng Huang, Torben Bach Pedersen, Kai Zheng, Christian S. Jensen:
A Comparative Study on Unsupervised Anomaly Detection for Time Series: Experiments and Analysis. CoRR abs/2209.04635 (2022) - [i2]Yunyao Cheng, Chenjuan Guo, Kaixuan Chen, Kai Zhao, Bin Yang, Jiandong Xie, Christian S. Jensen, Feiteng Huang, Kai Zheng:
A Pattern Discovery Approach to Multivariate Time Series Forecasting. CoRR abs/2212.10306 (2022) - 2021
- [j3]Yue Cui
, Kai Zheng, Dingshan Cui, Jiandong Xie, Liwei Deng, Feiteng Huang, Xiaofang Zhou:
METRO: A Generic Graph Neural Network Framework for Multivariate Time Series Forecasting. Proc. VLDB Endow. 15(2): 224-236 (2021) - [j2]David Campos, Tung Kieu
, Chenjuan Guo, Feiteng Huang, Kai Zheng, Bin Yang
, Christian S. Jensen
:
Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles. Proc. VLDB Endow. 15(3): 611-623 (2021) - [c2]Hao Sun, Changjie Yang, Liwei Deng, Fan Zhou, Feiteng Huang, Kai Zheng:
PeriodicMove: Shift-aware Human Mobility Recovery with Graph Neural Network. CIKM 2021: 1734-1743 - [c1]Xuanhao Chen
, Liwei Deng, Feiteng Huang, Chengwei Zhang, Zongquan Zhang, Yan Zhao, Kai Zheng:
DAEMON: Unsupervised Anomaly Detection and Interpretation for Multivariate Time Series. ICDE 2021: 2225-2230 - [i1]David Campos, Tung Kieu, Chenjuan Guo, Feiteng Huang, Kai Zheng, Bin Yang, Christian S. Jensen:
Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles - Extended Version. CoRR abs/2111.11108 (2021)
2010 – 2019
- 2011
- [j1]Yumei Chen, Feiteng Huang, Xiaoping Xie:
H(div) conforming finite element methods for the coupled Stokes and Darcy problem. J. Comput. Appl. Math. 235(15): 4337-4349 (2011)
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