Author

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. · Proceedings of the 32nd ACM... · 0 citations

#artificial intelligence Preprint Sep 2026

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

A unified benchmark for multimodal time series forecasting with heterogeneous context, MUSE-Bench enables systematic evaluation of how forecasting models utilize context and provides a foundation for future multimodal forecasting research.

Peng Chen, Zhi-Hao Zhuang, Hong-Zhou Chen et al. · 3 citations