近五年代表作
[1] 赵红, 胡清华, 朱鹏飞, 王煜, 王萍, A recursive regularization based feature selection framework for hierarchical classification. IEEE Transactions on Knowledge and Data Engineering, 2021, 33(7): 2833-2846. [2] 赵红, 王萍, 胡清华, 朱鹏飞, Fuzzy rough set based feature selection for large-scale hierarchical classification. IEEE Transactions on Fuzzy Systems, 2019, 27(10):1891-1903. [3] 赵红, 朱鹏飞, 王萍, 胡清华, Hierarchical feature selection with recursive regularization. In Proceedings of the 26th International Joint Conference on Artificial Intelligence, 2017, 3483-3489. [4] 赵红,郭顺心,林耀进,Hierarchical classification via global- and local- granulation for long-tail distribution, Information Sciences, 2021, 581: 536-552. [5] 赵红, 李香菊, A cost sensitive decision tree algorithm based on weighted class distribution with batch deleting attribute mechanism. Information Sciences, 2017, 378: 303-316.
近年主持的项目
1. 知识与数据双向驱动下的层次化小样本学习,国家自然科学基金专项项目,编号:62141602,时间:2022年01月-2022 年12月,12万,主持。
2. 面向大数据分层分类学习的多粒度计算模型和算法,国家自然科学基金青年项目,编号:61703196,时间:2018年01月 -2020年12月,25万,主持。
3. 面向长尾分布数据的多粒度分层学习,福建省自然科学基金项目,编号:2021J0113,时间:2021年11月-2024年11月, 7万,主持。
4. 面向分层分类数据的多粒度方法研究,福建省自然科学基金项目,编号:2018J01549,时间:2018年04月-2021年04月, 7万,主持。
学生论文
[1] 郭顺心,赵红*,杨文元,Hierarchical feature selection with multi-granularity clustering structure. Information Sciences, 2021, 568: 448-462. (SCI一区) [2] 郭顺心,赵红*,Hierarchical classification with multi-path selection based on granular computing. Artificial Intelligence Review, 2021,54(3): 2067-2089. (SCI二区) [3] 刘欣欣,周玉灿,赵红*,Robust hierarchical feature selection driven by data and knowledge. Information Sciences, 2021, 551: 341-357. (SCI一区) [4] 刘欣欣,赵红*,Robust hierarchical feature selection with a capped norm. Neurocomputing, 2021, 443: 131-146. (SCI二区) [5] 刘欣欣,赵红*,Hierarchical feature extraction based on discriminant analysis, Applied Intelligence, 2019, 49(7): 2780-2792. (SCI 三区) [6] 郑炜杰,赵红*,Cost-sensitive hierarchical classification for imbalanced distribution datasets based on information entropy. Applied Intelligence, 2021. (SCI三区) [7] 郑炜杰,赵红*,Cost-sensitive hierarchical classification for imbalance classes. Applied Intelligence, 2020, 50: 2328–2338. (SCI三区) [8] 脱倩娟,赵红*, 胡清华, Hierarchical feature selection with subtree based graph regularization. Knowledge-Based Systems, 2019,163(1): 996-1008. (SCI二区) [9] 李香菊, 赵红*等, A cost sensitive decision tree algorithm with two adaptive mechanisms. Knowledge-Based Systems, 2015, 88: 24-33. (SCI二区) [10] 范安静, 赵红*等, Test-cost-sensitive attribute reduction on heterogeneous data for adaptive neighborhood model. Soft Computing, 2016, 20(12): 4813-4824. (SCI 三区) [11] 董利梅, 赵红*, Hierarchical feature selection with orthogonal transfer. Journal of Internet Technology, 2019, 20(4): 1-8. (SCI 四区) [12] 李静宽, 赵红*等, Fast randomized algorithm with restart strategy for minimal test cost feature selection. International Journal of Machine Learning and Cybernetic, 2015, 6(3): 435-442. (SCI 四区) [13] 李香菊, 赵红*等, An exponent weighted algorithm for the minimal cost feature selection. International Journal of Machine Learning and Cybernetic, 2016, 7(5): 689-698. (SCI 四区) [14] 李静宽, 赵红*等, Feature selection with multi-cost constraint. Journal of Internet Technology, 2016, 17(5): 981-991. (SCI 四区) [15] 牛军霞, 赵红*等, Feature selection with test cost constraint through a simulated annealing algorithm. Journal of Internet Technology, 2016, 17(6): 1133-1140. (SCI 四区)
已毕业研究生情况
1. 2018级郭顺心于2021年9月至东南大学攻读博士学位。 2. 2018级郑炜杰就职于新大陆教育。 3. 2017级刘欣欣于2020年9月至南京理工大学攻读博士学位。 4. 2015级脱倩娟就职于陕西科技大学镐京学院(老师)。 5. 2015级董利梅就职于福建联通东南研究院。 6. 2015级余胜龙就职于融微软件服务有限公司。 7. 2013级范安静于2016年-2019年在武汉大学攻读博士学位,于2019年就职于安阳师范学院(老师)。 8. 2013级李香菊于2016年9月在东北大学攻读博士学位。 9. 2013级牛军霞就职于陕西服装工程学院(老师)。 10. 2012级李静宽就职于趣游厦门科技有限公司。
联系方式
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