5 papers
Structured Adaptive Tensor Prediction for Streaming Data
Zhen Qin, Yang Chen
Matrix-valued time series arise in a wide range of applications, such as spatio-temporal data from medical imaging and geophysics. Existing methods are mainly designed for static s…
Local Interaction Autoregressive Model for High Dimension Time Series Data
Jingyang Li, Yang Chen
High-dimensional matrix and tensor time series often exhibit local dependency, where each entry interacts mainly with a small neighborhood. Accounting for local interactions in a p…
Marine Chlorophyll Prediction and Driver Analysis based on LSTM-RF Hybrid Models
Zhouyao Qian, Yang Chen, Baodian Li +11
Marine chlorophyll concentration is an important indicator of ecosystem health and carbon cycle strength, and its accurate prediction is crucial for red tide warning and ecological…
Fourier Low-rank and Sparse Tensor for Efficient Tensor Completion
Jingyang Li, Jiuqian Shang, Yang Chen
Tensor completion is crucial in many scientific domains with missing data problems. Traditional low-rank tensor models, including CP, Tucker, and Tensor-Train, exploit low-dimensio…
TSKANMixer: Kolmogorov-Arnold Networks with MLP-Mixer Model for Time Series Forecasting
Young-Chae Hong, Bei Xiao, Yangho Chen
Time series forecasting has long been a focus of research across diverse fields, including economics, energy, healthcare, and traffic management. Recent works have introduced innov…