李方轶
基本信息
- 姓名： 李方轶
- 职称： 中级
- 邮箱： lify@bnu.edu.cn
教育背景
- 2014–2021 西北工业大学计算机学院 计算机科学与技术专业 工学博士
- 2016–2020 Aberystwyth University (UK), Department of Computer Science Computational Intelligence PhD
- 2010 – 2014 西北工业大学计算机学院 计算机科学与技术专业 工学学士
研究领域
- 模糊推理、计算智能及图像处理
学术成果
近年来的代表性论文
- 1. 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. (SCI一区，IF: 11.079).
- 2. 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. (SCI一区，IF: 9.518).
- 3. 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. (SCI一区，IF: 9.518).
- 4. Fangyi Li, Changjing Shang, Ying Li, and Qiang Shen. “Interpretable mammographic mass classification with fuzzy interpolative reasoning.” Knowledge-Based Systems, 191, 105279, (2020). (SCI一区，IF: 5.921).
- 5. 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. (SCI三区，IF: 3.05).
- 6. 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. (SCI三区，IF: 3.05).
- 7. Ying Li, Fangyi Li, Bendu Bai, and Qiang Shen. "Image fusion via nonlocal sparse K-SVD dictionary learning." Applied optics 55, no. 7 (2016): 1814-1823. (SCI三区，IF: 1.961).
- 8. Ying Li, Fangyi Li, Kaixing Yang, Chris Price, and Qiang Shen. "Remote sensing image registration based on Gaussian-Hermite moments and the Pseudo-RANSAC algorithm." Remote Sensing Letters 8, no. 12 (2017): 1162-1171. (SCI四区，IF: 2.298).
- 9. Jing Yang, Changjing Shang, Ying Li, Fangyi Li and Qiang Shen. “ANFIS construction with sparse data via group rule interpolation”. IEEE Transactions on Cybernetics (Early Access) (2019). DOI: 10.1109/TCYB.2019.2952267. (SCI一区，IF: 11.079).
- 10. 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. (SCI一区，IF: 9.518).
- 11. 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 (Early Access) (2021). DOI: 10.1109/TFUZZ.2021.3049949. (SCI 一区，IF: 9.518)
- 12. 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. (EI收录，Best Student Paper Award).
专利及计算机软件著作权
- 1. 李映，李方轶。基于模糊熵的Congealing方法构造汉字字符及识别的方法。2017. 中国发明专利，ZL 2014 1 0431198.9. 已授权。（导师为第一发明人）
- 2. 李映，李方轶，张培。一种基于非局部稀疏K-SVD算法的图像融合方法。2017. 中国发明专利，ZL 2014 1 0430771.4. 已授权。（导师为第一发明人）
- 3.李映，李方轶。图像配准及融合系统。2015. 计算机软件著作权，2016SR051948.
奖励与荣誉
- 2021年 西北工业大学优秀毕业生
社会服务
- 为多个国际高水平期刊及会议审稿：IEEE Transactions on Cybernetics, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Neural Networks and Learning Systems, IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).
