Lifan Zhao (赵立帆)
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    • Less is More: Unlocking Specialization of Time Series Foundation Models via Structured Pruning
    • Proactive Model Adaptation Against Concept Drift for Online Time Series Forecasting
    • Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators
    • StockCL: Selective Contrastive Learning for Stock Trend Forecasting via Learnable Concepts
    • DoubleAdapt: A Meta-learning Approach to Incremental Learning for Stock Trend Forecasting
    • RESUS: Warm-up Cold Users via Meta-learning Residual User Preferences in CTR Prediction
    • Methods for Acquiring and Incorporating Knowledge into Stock Price Prediction: A Survey
    • Mixed Information Flow for Cross-Domain Sequential Recommendations
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Less is More: Unlocking Specialization of Time Series Foundation Models via Structured Pruning

May 30, 2025·
Lifan Zhao
Lifan Zhao
,
Yanyan Shen
,
Zhaoyang Liu
,
Xue Wang
,
Jiaji Deng
· 0 min read
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Manuscript
Last updated on May 30, 2025
Lifan Zhao
Authors
Lifan Zhao
PhD candidate
Proactive Model Adaptation Against Concept Drift for Online Time Series Forecasting Feb 1, 2025 →

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