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 Sequential Data Modeling. Recently, I have been focused on time series prediction tasks and explainable stock market analysis tasks by large language model alignment, AI agent construction.

Research Interests

  • Foundational AI: Large Language Model, Time Series Prediction, Text Mining
  • Fintech: Financial Large Language Model Pre-training and Post-training, Explainable Stock Movement Prediction, News-driven Stock Market Analysis, Stock Recommendation
  • AI for Science: Protein Pre-training, Drug-Target Interaction Prediction

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

  • 2025-03-05 Our work MIN was accepted to TCBB!
  • 2024-12-23 Baichuan4-Finance Technical Report is published in arXiv!
  • 2024-12-22 Our work MagicNet was accepted to TKDE!
  • 2024-12-15 The work done with Song Jin is submitted to ARR!
  • 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, Shufang Xie, Hongda Sun, Yuhan Chen, Tao Qin, Tianjun Ke, Rui Yan. MIN: Multi-channel Interaction Network for Drug-Target Interaction with Structural Modeling. TCBB, 2025. paper link
  • Di Luo, Shuqi Li, Weiheng Liao, Rui Yan. MagicNet: Memory-Aware Graph Interactive Casual Network for Multivariate Stock Price Movement Prediction. TKDE, 2024.
  • Hanyu Zhang, Boyu Qiu, Yuhao Feng, Shuqi Li, Qian Ma, Xiyuan Zhang, Qiang Ju, Dong Yan, Jian Xie. Baichuan4-Finance LLM Technical Report. arXiv, 2024. paper link
  • 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