9 citations · 16 across the 12 of their papers we have counts for
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cs.CV2026
Hyperspectral Anomaly Detection via Group Sparse Low-Rank Tensor Factorization With Automatic Anomaly Grouping
Quan Yu, Yu-Hong Dai, Xiongjun Zhang
Low-rank tensor modeling has become an effective tool for hyperspectral anomaly detection. However, existing methods still suffer from high computational cost and limited flexibili…
math.OC2026
A Multi-View Coupled Tensor Decomposition for Lightweight Online Adaptive Traffic Prediction
Quan Yu, Jie Ni, Yu-Hong Dai +1
Accurate online traffic prediction is essential for intelligent transportation systems, where forecasting must be performed continuously under imperfect sensing conditions. Missing…
math.ST2026
Sparse Tucker Decomposition and Graph Regularization for High-Dimensional Time Series Forecasting
Sijia Xia, Michael K. Ng, Xiongjun Zhang
Existing methods of vector autoregressive model for multivariate time series analysis make use of low-rank matrix approximation or Tucker decomposition to reduce the dimension of t…