数学与统计学院研究生导师信息

一、电子照片

二、基本情况

姓名：许峰

性别：男

学历学位：博士

职称：讲师

职务：无

学术兼职：无

研究方向：粒计算, 机器学习

电子邮箱：[email protected], [email protected]

三、专业教学及教学成果

主要承担《粗糙集理论与方法》课程教学；

四、研究方向及研究团队

主要研究兴趣为粒计算理论和机器学习, 具体的研究方向包括: 不确定性数据分析, 粗糙集模型, 多标签学习方法, 聚类分析, 表示学习等.

五、科研成果

1.Feng Xu, Mingjie Cai*, Qingguo Li, Jie Zhou, Hamido Fujita. Connection density based clustering: A graph-based density clustering method, Applied Soft Computing, 2024, 161: 111779.

2.Feng Xu, Mingjie Cai*, Qingguo Li, Haichao Wang, Hamido Fujita. Shared neighbors rough set model and neighborhood classifiers, Expert Systems with Applications, 2024, 244: 122965.

3.Feng Xu, Mingjie Cai*, Huailing Song, Jianhua Dai. The selection of feasible strategies based on consistency measurement of cliques, Information Sciences, 2022, 583: 33-55.

4.Mingjie Cai, Haichao Wang, Feng Xu*, Qingguo Li. Neighborhood margin rough set: Self-tuning neighborhood threshold, International Journal of Approximate Reasoning, 2024, 174: 109271.

5. Mingjie Cai, Jiangyuan Wang, Feng Xu∗, Qiong Liu, Hamido Fujita. Anchor graph based connectivity peaks clustering, Knowledge-Based Systems, 2025, 319: 113498.

6.Mingjie Cai, Zhishan Wu, Qingguo Li, Feng Xu*, Jie Zhou. GFDC: A granule fusion density-based clustering with evidential reasoning, International Journal of Approximate Reasoning, 2024, 164: 109075.

7.Zhishan Wu, Mingjie Cai*, Feng Xu*, Qingguo Li. PCS-granularity weighted ensemble clustering via co-association matrix, Applied Intelligence, 2024, 54(5): 3884-3901.