📝 Publications
- 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.
- Shen, R., Guan, Y., Liu, L., et al. Blood Glucose Forecasting Via Fusing Intra-and Inter-Variable Variations[C]//2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2025: 6551-6558.
- 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.
- 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.
- 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.
- 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.
- Li, S., Liu, J., Shen, R.*, et al. LefNet: Lightweight Explainable Fast-trained Network for wheat growth prediction and mechanism resolving[J]. Computers and Electronics in Agriculture, 2026, 253: 112194.
- Li, S., Liu, J., Shen, R., et al. Empowering Agricultural Decision Making with CLM: Mechanism Guided Crop Large Model[J]. Expert Systems with Applications, 2026: 133752.
- 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.
- 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.
- Liu, L., Guan, Y., Li, Y., Shen, R., et al. T1D-MLLM: Multimodal Large Language Model and Cross-Scenario Dataset for Multi-Scenario Management of Type 1 Diabetes[C]//2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2025: 1097-1103.
- Liu, L., Li, Y., Liu, Y., Shen, R., et al. Feasible is Not Enough: Cost-Aware Optimal Tool-Chain Planning on Multi-Solution Tool Graphs[C]//Findings of the Association for Computational Linguistics: ACL 2026. 2026: 17387-17403.
- Liu, L., Guan, Y., Shen, R., et al. GlucoAPRL: Ahead-Planning Reinforcement Learning Mechanism for Safe Blood Glucose Regulation[C]//ICASSP 2026-2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2026: 4456-4460.
🛠️ Projects