2021级博士研究生 导师沈艳艳
Lifan Zhao, and Yanyan Shen. Proactive Model Adaptation Against Concept Drift for Online Time Series Forecasting. In KDD 2025.
Lifan Zhao, and Yanyan Shen. Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators. In ICLR 2024. [Paper][Source code]
Zexi Zhang, Lifan Zhao, Yanyan Shen, Bin Yao. StockCL: Selective Contrastive Learning for Stock Trend Forecasting via Learnable Concepts. In DASFAA 2024.
Liping Wang, Jiawei Li, Lifan Zhao, Zhizhuo Kou, Xiaohan Wang, Xinyi Zhu, Hao Wang, Yanyan Shen, Lei Chen. Methods for Acquiring and Incorporating Knowledge into Stock Price Prediction: A Survey. Under Review. [Paper]
Lifan Zhao, Shuming Kong, and Yanyan Shen. DoubleAdapt: A Meta-learning Approach to Incremental Learning for Stock Trend Forecasting. In KDD 2023. [Paper][Source code]
Yanyan Shen, Lifan Zhao, Weiyu Cheng, Zibin Zhang, Wenwen Zhou, and Kangyi Lin. RESUS: Warm-Up Cold Users via Meta-Learning Residual User Preferences in CTR Prediction. TOIS 2022. [Paper] [Source code]
Muyang Ma, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Lifan Zhao, Peiyu Liu, Jun Ma, and Maarten de Rijke. Mixed Information Flow for Cross-Domain Sequential Recommendations. TKDD 2022. [Paper] [Source code]
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