Feiteng Huang

According to our database, Feiteng Huang authored at least 11 papers between 2011 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

A Pattern Discovery Approach to Multivariate Time Series Forecasting.

Yunyao Cheng, Chenjuan Guo, Kaixuan Chen, Kai Zhao, Bin Yang, Jiandong Xie, Christian S. Jensen, Feiteng Huang, Kai Zheng

CoRR, 2022

A Comparative Study on Unsupervised Anomaly Detection for Time Series: Experiments and Analysis.

Yan Zhao, Liwei Deng, Xuanhao Chen, Chenjuan Guo, Bin Yang, Tung Kieu, Feiteng Huang, Torben Bach Pedersen, Kai Zheng, Christian S. Jensen

CoRR, 2022

Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection - Extended Version.

Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen, Yan Zhao, Feiteng Huang, Kai Zheng

CoRR, 2022

Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection.

Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen, Yan Zhao, Feiteng Huang, Kai Zheng

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

MARINA: An MLP-Attention Model for Multivariate Time-Series Analysis.

Jiandong Xie, Yue Cui, Feiteng Huang, Chao Liu, Kai Zheng

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

METRO: A Generic Graph Neural Network Framework for Multivariate Time Series Forecasting.

Yue Cui, Kai Zheng, Dingshan Cui, Jiandong Xie, Liwei Deng, Feiteng Huang, Xiaofang Zhou

Proc. VLDB Endow., 2021

Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles.

David Campos, Tung Kieu, Chenjuan Guo, Feiteng Huang, Kai Zheng, Bin Yang, Christian S. Jensen

Proc. VLDB Endow., 2021

Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles - Extended Version.

David Campos, Tung Kieu, Chenjuan Guo, Feiteng Huang, Kai Zheng, Bin Yang, Christian S. Jensen

CoRR, 2021

DAEMON: Unsupervised Anomaly Detection and Interpretation for Multivariate Time Series.

Xuanhao Chen, Liwei Deng, Feiteng Huang, Chengwei Zhang, Zongquan Zhang, Yan Zhao, Kai Zheng

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

PeriodicMove: Shift-aware Human Mobility Recovery with Graph Neural Network.

Hao Sun, Changjie Yang, Liwei Deng, Fan Zhou, Feiteng Huang, Kai Zheng

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2011

H(div) conforming finite element methods for the coupled Stokes and Darcy problem.

Yumei Chen, Feiteng Huang, Xiaoping Xie

J. Comput. Appl. Math., 2011