H(div) conforming finite element methods for the coupled Stokes and Darcy problem. - Yumei Chen; Feiteng Huang; Xiaoping Xie (J. Comput. Appl. Math., 2011)

PeriodicMove: Shift-aware Human Mobility Recovery with Graph Neural Network. - Hao Sun 015; Changjie Yang; Liwei Deng 001; Fan Zhou; Feiteng Huang; Kai Zheng 001 (CIKM, 2021)

DAEMON: Unsupervised Anomaly Detection and Interpretation for Multivariate Time Series. - Xuanhao Chen 001; Liwei Deng 001; Feiteng Huang; Chengwei Zhang; Zongquan Zhang; Yan Zhao 008; Kai Zheng 001 (ICDE, 2021)

Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles - Extended Version. - David Campos 002; Tung Kieu; Chenjuan Guo; Feiteng Huang; Kai Zheng 001; Bin Yang 002; Christian S. Jensen (CoRR, 2021)

Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles. - David Campos 002; Tung Kieu; Chenjuan Guo; Feiteng Huang; Kai Zheng 001; Bin Yang 002; Christian S. Jensen (Proc. VLDB Endow., 2021)

METRO: A Generic Graph Neural Network Framework for Multivariate Time Series Forecasting. - Yue Cui 001; Kai Zheng 001; Dingshan Cui; Jiandong Xie; Liwei Deng 001; Feiteng Huang; Xiaofang Zhou 001 (Proc. VLDB Endow., 2021)

MARINA: An MLP-Attention Model for Multivariate Time-Series Analysis. - Jiandong Xie; Yue Cui 001; Feiteng Huang; Chao Liu; Kai Zheng 001 (CIKM, 2022)

Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection. - Tung Kieu; Bin Yang 002; Chenjuan Guo; Christian S. Jensen; Yan Zhao 008; Feiteng Huang; Kai Zheng 001 (ICDE, 2022)

Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection - Extended Version. - Tung Kieu; Bin Yang 002; Chenjuan Guo; Christian S. Jensen; Yan Zhao 008; Feiteng Huang; Kai Zheng 001 (CoRR, 2022)

A Comparative Study on Unsupervised Anomaly Detection for Time Series: Experiments and Analysis. - Yan Zhao 008; Liwei Deng 001; Xuanhao Chen 001; Chenjuan Guo; Bin Yang 002; Tung Kieu; Feiteng Huang; Torben Bach Pedersen; Kai Zheng 001; Christian S. Jensen (CoRR, 2022)

A Pattern Discovery Approach to Multivariate Time Series Forecasting. - Yunyao Cheng 001; Chenjuan Guo; Kaixuan Chen 001; Kai Zhao 009; Bin Yang 002; Jiandong Xie; Christian S. Jensen; Feiteng Huang; Kai Zheng 001 (CoRR, 2022)

A Unified Replay-Based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data. - Hao Miao 001; Yan Zhao 008; Chenjuan Guo; Bin Yang 002; Kai Zheng 001; Feiteng Huang; Jiandong Xie; Christian S. Jensen (ICDE, 2024)

Gaussian Process Latent Variable Modeling for Few-Shot Time Series Forecasting. - Yunyao Cheng 001; Chenjuan Guo; Kaixuan Chen 001; Kai Zhao 009; Bin Yang 002; Jiandong Xie; Christian S. Jensen; Feiteng Huang; Kai Zheng 001 (IEEE Trans. Knowl. Data Eng., 2025)