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Meng-Sen Wu

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Book Open access Aug 2026

PatchCLE: Breaking the Linear Representation Bottleneck in Time Series Forecasting via Soft Contrastive Learning

A novel representation-enhanced forecasting model, termed PatchCLE (Patch Contrastive Learning Encoder), is proposed, which innovatively integrates soft contrastive learning into multivariate time series forecasting in order to improve representation quality and resolve the computational complexity challenges associate...

Meng-Sen Wu, Haochen Shi, Sheng-Dong Du et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Beyond Numerical Time Series: A Unified Benchmark for Multimodal Forecasting with Heterogeneous Context

Most time series forecasting benchmarks remain numerical-centric and provide limited support for evaluating contextual information that shapes real-world temporal dynamics. Existing multimodal benchmarks also suffer from limited data and context coverage, fragmented evaluation settings, and overreliance on aggregate ev...

Peng Chen, Zhi-Hao Zhuang, Hong-Zhou Chen et al. · 0 citations

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