Shuqi Li is a Ph.D. Candidate in Gaoling School of Artificial Intelligence, Renmin University of China, under the supervision of Prof. Rui Yan.

I am interested in powering machine learning for data representation, perception, prediction, and generation of sequential data with a good tradeoff between accuracy, efficiency, generalizability, and explainability. My research spans Text Mining and Time Series Modeling. Recently, I have been focused on time series prediction tasks and explainable stock market analysis tasks by large language model alignment, LLM-based agent construction, and sequential modeling.

Research Interests

  • Foundational AI: Large Language Model, Time Series, Text Mining
  • Interdisciplinary AI: Stock Movement Prediction, News-driven Stock Market Analysis, Explainable Stock Prediction, Stock Recommendation

Education Experiences

  • From 09/2021, Gaoling School of Artificial Intelligence, Renmin University of China, Ph.D. Candidate
  • 09/2019–07/2021, School of Mathematics and Statistics, Beijing Jiaotong University, M.S.
  • 09/2014–07/2018, School of Science, Xi’an University of Technology, B.S.

News About Papers

  • 2024-10-15 The work done with Heyue Lin is submitted to The WebConf 2025!
  • 2024-10-15 The work done with Song Jin is submitted to The WebConf 2025!
  • 2024-10-09 The work done with Mengyao Guo is submitted to TPAMI!
  • 2024-08-08 Received the Major Revision from TCBB!

Publications

  • Shuqi Li, Yuebo Sun, Yuxin Lin, Xin Gao, Shuo Shang, Rui Yan. CausalStock: Deep End-to-end Causal Discovery for News-driven Multi-stock Movement Prediction. NeurIPS, 2024. paper link
  • Yuhan Chen, Shuqi Li, Rui Yan. FlexiQA: Leveraging LLM’s Evaluation Capabilities for Flexible Knowledge Selection in Open-domain Question Answering. EACL, 2024. paper link
  • Xin Cheng, Xiuying Chen, Shuqi Li, Di Luo, Xun Wang, Dongyan Zhao, Rui Yan. Leveraging 2D Information for Long-term Time Series Forecasting with Vanilla Transformers. Arxiv, 2024. paper link
  • Xiaoqing Zhang, Xiuying Chen, Shen Gao, Shuqi Li, Xin Gao, Ji-Rong Wen, Rui Yan. Selecting Query-bag as Pseudo Relevance Feedback for Information-seeking Conversations. arXiv, 2024. paper link
  • Shuqi Li, Weiheng Liao, Yuhan Chen, Rui Yan. Pen: prediction-explanation network to forecast stock price movement with better explainability. AAAI, 2023. paper link
  • Di Luo, Weiheng Liao, Shuqi Li, Xin Cheng, Rui Yan. Causality-guided multi-memory interaction network for multivariate stock price movement prediction. ACL, 2023. paper link
  • Hongda, Shufang Xie, Shuqi Li, Yuhan Chen, Ji-Rong Wen, Rui Yan. Debiased, longitudinal and coordinated drug recommendation through multi-visit clinic records. NeurIPS, 2022. paper link
  • Xiaoming Liu, Aijing Lin, Shuqi Li. Classification of international stock markets through MDS based on Hurst-surface distance. Physica A: Statistical Mechanics and Its Applications, 2021. paper link
  • Shuqi Li, Aijing Lin. Exploring the relationship among predictability, prediction accuracy and data frequency of financial time series. Entropy, 2020. paper link
  • Shuqi Li, Xiaoming Liu, Aijing Lin. Fractional frequency hybrid model based on EEMD for financial time series forecasting. Communications in Nonlinear Science and Numerical Simulation, 2020. paper link
  • 陈敏, 李书琪, 广文革. 基于大数据分析的死缓限制减刑司法适用研究. 统计与信息论坛, 2019. paper link
  • Xu, LingLing, et al. Correlation between vertical distribution of three Cypripedium species and composition of orchid mycorrhizal fungal community. Mycosystema, 2019. paper link