[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.
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