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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Methods for Acquiring and Incorporating Knowledge into Stock Price Prediction: A Survey

Jan 1, 2023·
Liping Wang
,
Jiawei Li
Lifan Zhao
Lifan Zhao
,
Zhizhuo Kou
,
Xiaohan Wang
,
Xinyi Zhu
,
Hao Wang
,
Yanyan Shen
,
Lei Chen
· 0 min read
Cite arXiv
Type
Manuscript
Last updated on Jan 1, 2023
Lifan Zhao
Authors
Lifan Zhao
PhD candidate
← RESUS: Warm-up Cold Users via Meta-learning Residual User Preferences in CTR Prediction Feb 1, 2023
Mixed Information Flow for Cross-Domain Sequential Recommendations Jan 1, 2022 →

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