2021级博士研究生 导师沈艳艳
Lifan Zhao, and Yanyan Shen. Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators. In ICLR 2024. [Paper][Source code]
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. In 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. In TKDD 2022. [Paper] [Source code]
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