📝 Publications

  • Jiang, J., Shen, R., Zhao, C., Guan, Y., Yu, X., & Fu, X. (2025). Causal discovery based on hierarchical reinforcement learning. Expert Systems with Applications, 279, 127466.
  • Jiang, J., Shen, R., Yang, Y., Wang, B., & Guan, Y. (2025). A bidirectional reasoning approach for blood glucose control via invertible neural networks. Computer Methods and Programs in Biomedicine, 108844.
  • Shen, R., Li, M., Zhao, C., Wang, B., Guan, Y., Liu, J., & Jiang, J. (2025). Hierarchical causal discovery from large-scale observed variables. IEEE Transactions on Knowledge and Data Engineering.
  • Li, S., Liu, J., Yang, Y., Shen, R., & Jiang, J. (2025). Thinking as human: Self-reflective reinforcement learning framework for fertilization decision-making. Smart Agricultural Technology, 10, 100841.
  • Shen, R., Guan, Y., Liu, L., Yang, Y., Wang, B., Zhao, C., & Jiang, J. (2025). Causal Discovery from Time-Series Data with Short-Term Invariance-Based Convolutional Neural Networks. Mathematics.
  • Shen, R., Lin, Y., Wang, B., Liu, L., Guan, Y., & Jiang, J. (2024, December). Forecasting Influenza Like Illness based on White-Box Transformers. In 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 3691-3694). IEEE.
  • Liu, L., Guan, Y., Wang, Z., Shen, R., Zheng, G., Fu, X., … & Jiang, J. (2024). An interactive food recommendation system using reinforcement learning. Expert Systems with Applications, 254, 124313.

🛠️ Projects