李方轶 - 北京师范大学 - 人工智能学院

个人简介

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奖励与荣誉 2021年西北工业大学优秀毕业生

研究领域

模糊推理、计算智能及图像处理

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

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). 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). 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). 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). 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). 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). 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). 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). 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). 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). 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) 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).

学术兼职

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).