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cs.LG2024
Hierarchical Multimodal LLMs with Semantic Space Alignment for Enhanced Time Series Classification
Xiaoyu Tao, Tingyue Pan, Mingyue Cheng +3
Time series classification plays a fundamental role in a wide range of real-world applications. Recently, large language models (LLMs) have demonstrated strong generalization and r…
cs.LG2024★ 5 cited
ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis
Mingyue Cheng, Jiqian Yang, Tingyue Pan +2
Designing effective models for learning time series representations is foundational for time series analysis. Many previous works have explored time series representation modeling…