[1] Feng Jiang, Xu Yu, Dunwei Gong, Junwei Du*. A random approximate reduct-based ensemble learning approach and its application in software defect prediction. Information Sciences, 2022, 609: 1147-1168.
[2] Feng Jiang, Xu Yu, Junwei Du*, Dunwei Gong, Youqiang Zhang, Yanjun Peng. Ensemble learning based on approximate reducts and bootstrap sampling. Information Sciences, 2021, 547: 797-813.
[3] Feng Jiang*, Yuefei Sui, Lin Zhou. A relative decision entropy-based feature selection approach. Pattern Recognition, 2015, 48(7): 2151-2163.
[4] Feng Jiang*, Guozhu Liu, Junwei Du, Yuefei Sui. Initialization of K-modes clustering using outlier detection techniques. Information Sciences, 2016, 332: 167-183.
[5] Feng Jiang*, Yuefei Sui. A novel approach for discretization of continuous attributes in rough set theory. Knowledge-Based Systems, 2015, 73: 324-334.
[6] Feng Jiang, Xu Yu, Hongbo Zhao, Dunwei Gong, Junwei Du*. Ensemble learning based on random super-reduct and resampling. Artificial Intelligence Review, 2021, 54: 3115-3140.
[7] Feng Jiang, Hongbo Zhao, Junwei Du, Yu Xue, Yanjun Peng*. Outlier detection based on approximation accuracy entropy. International Journal of Machine Learning and Cybernetics, 2019, 10(9): 2483-2499.
[8] Feng Jiang*, Yuming Chen. Outlier detection based on granular computing and rough set theory. Applied Intelligence, 2015, 42(2): 303-322.
[9] Xu Yu, Feng Jiang, Junwei Du, Dunwei Gong*. A cross-domain collaborative filtering algorithm with expanding user and item features via the latent factor space of auxiliary domains. Pattern Recognition, 2019, 94: 96-109.
[10] 江峰, 王凯郦, 于旭, 眭跃飞, 杜军威*. 基于粗糙熵的离群点检测方法及其在无监督入侵检测中的应用. 控制与决策, 2020, 35(5): 1199-1204.
[11] 于旭, 何亚东, 杜军威*, 王昭哲, 江峰, 巩敦卫. 一种结合显式特征和隐式特征的开发者混合推荐算法. 软件学报, 2022, 33(5): 1635-1651.
[12] 杨志勇, 江峰*, 于旭, 杜军威. 采用离群点检测技术的混合型数据聚类初始化方法. 智能系统学报, 2023, 18(1): 56-65.
