专著：
Fangyi Li, Qiang Shen. Fuzzy Rule-Based Inference - Advances and Applications in Reasoning with Approximate Knowledge Interpolation. Springer. 2024 (ISBN: 978-981-97-0490-3).
论文：
1. Hang Lv, Fangyi Li*, Changjing Shang and Qiang Shen. “W-Infer-polation: Approximate reasoning via integrating weighted fuzzy rule inference and interpolation”. Knowledge-Based Systems, 2022, 258, 109995. (中科院SCI一区Top)
2. Fangyi Li, Ying Li, Changjing Shang and Qiang Shen. “Fuzzy Knowledge-Based Prediction Through Weighted Rule Interpolation”. IEEE Transactions on Cybernetics, 2020, 50(10):4508–4517. (中科院SCI一区Top)
3. Fangyi Li, Changjing Shang, Ying Li, Jing Yang and Qiang Shen. “Interpolation with Just Two Nearest Neighbouring Weighted Fuzzy Rules”. IEEE Transactions on Fuzzy Systems, 2020, 28(9):2255–2262. (中科院SCI一区Top)
4. Fangyi Li, Changjing Shang, Ying Li, Jing Yang and Qiang Shen. “Fuzzy Rule Based Interpolative Reasoning Supported by Attribute Ranking”. IEEE Transactions on Fuzzy Systems, 2018, 26(5): 2758-2773. (中科院SCI一区Top)
5. Fangyi Li, Changjing Shang, Ying Li, and Qiang Shen. “Interpretable mammographic mass classification with fuzzy interpolative reasoning.” Knowledge-Based Systems, 191, 105279, (2020). (中科院SCI一区Top)
6. Fangyi Li, Changjing Shang, Ying Li, Jing Yang and Qiang Shen. “Approximate reasoning with fuzzy rule interpolation: Background and recent advances”. Artificial Intelligence Review. 2021, 54(6):4543-4590. (中科院SCI二区Top)
7. Fangyi Li, Hang Lv, and Qiang Shen. 2024. “Light but Fruitful: Enhanced Fuzzy Inference via Weight-Guided Selection of Rules with Attribute Weights.” International Journal of Systems Science, June, 1–13. doi:10.1080/00207721.2024.2365436.
8. 李方轶，李映，杨静. “基于模糊规则的插值推理算法综述”.计算机学报，2022, 45(8):1687-1711.
9. Fangyi Li, Ying Li, Changjing Shang and Qiang Shen. “Improving fuzzy rule interpolation performance with information gain-guided antecedent weighting”. Soft Computing 22, no. 10 (2018): 3125-3139. (中科院SCI三区)
10. Fangyi Li, Qiang Shen, Ying Li, and Neil Mac Parthaláin. "Handwritten Chinese character recognition using fuzzy image alignment." Soft Computing 20, no. 8 (2016): 2939-2949. (中科院SCI三区)
11. Jing Yang, Changjing Shang, Ying Li, Fangyi Li and Qiang Shen. “ANFIS construction with sparse data via group rule interpolation”. IEEE Transactions on Cybernetics, 2021, 51(5): 2773-2786. (中科院SCI一区Top)
12. Tianhua Chen, Changjing Shang, Jing Yang, Fangyi Li and Qiang Shen. “A new approach for transformation-based fuzzy rule interpolation”. IEEE Transactions on Fuzzy Systems, 2020, 28(12):3330–3344. (中科院SCI一区Top)
13. Jing Yang, Changjing Shang, Ying Li, Fangyi Li, Liang Shen and Qiang Shen. Constructing ANFIS with Sparse Data through Group-Based Rule Interpolation: An Evolutionary Approach. IEEE Transactions on Fuzzy Systems, 2022, 30(4): 893-907. (中科院SCI一区Top)
14. Fangyi Li, Changjing Shang, Ying Li, and Qiang Shen. “Guiding Fuzzy Rule Interpolation with Information Gains.” In Advances in Computational Intelligence Systems, pp. 165-183. Springer International Publishing, 2017. (Best Student Paper Award in 16th Annual Workshop on Computational Intelligence)
15. Fangyi Li, Changjing Shang, Ying Li and Qiang Shen. Feature Ranking-Guided Fuzzy Rule Interpolation for Mammographic Mass Shape Classification. In 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp. 1-7. IEEE, 2018.
16. Fangyi Li, Changjing Shang, Ying Li and Qiang Shen. Feature Ranking-guided Fuzzy Rule Interpolation. In 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp. 1-6. IEEE, 2017.
