Multi-view time series classification (MVTSC) aims to improve the performance by fusing distinctive temporal information from multiple views. Existing methods for MVTSC mainly aim fuse multi-view at an early stage, e.g., extracting a common feature subspace among However, these approaches may not fully explore unique patterns of each view in complicated series. Additionally, label correlations ...