From the 1 of 5 linked papers with an AI index.
5 papers
Local Interaction Autoregressive Model for High Dimension Time Series Data
Jingyang Li, Yang Chen
The paper introduces a Local Interaction Autoregressive (LIAR) framework for forecasting high‑dimensional matrix and tensor time series by exploiting local dependencies, and provid…
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…
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…