[1] Jieting Wang, Yuhua Qian, Feijiang Li, Jiye Liang, Qingfu Zhang, Generalization Performance of Pure Accuracy and Its Application in Selective Ensemble Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023, 45(2): 1798-1816

[2] Jieting Wang, Yuhua Qian, Feijiang Li. Learning with Mitigating Random Consistency from the Accuracy Measure, Machine Learning, 2020, 109: 2247-2281

[3] Jieting Wang, Feijiang Li, Jue Li, Chenping Hou, Yuhua Qian, Jiye Liang. RSS-Bagging: Improving Generalization through the Fisher Information of Training Data. IEEE Transactions on Neural Networks and Learning Systems, 2025, 36(2): 1974-1988

[4] Jieting Wang, Yuhua Qian, Feijiang Li, Jiye Liang, Weiping Ding. Fusing fuzzy monotonic decision trees. IEEE Transactions on Fuzzy Systems, 2020, 28(5): 887-900

[5] Feijiang Li, Yuhua Qian, Jieting Wang, Chuangyin Dang, Liping Jing, Clustering ensemble based on sample’s stability, Artificial Intelligence, 2019, 273: 37-55. [Demo Code]

[6] Feijiang Li, Yuhua Qian, Jieting Wang, Chuangyin Dang, Bing Liu. Cluster’s quality evaluation and selective clustering ensemble. ACM Transactions on Knowledge Discovery from Data, 2018, 12(5): 60. [Demo Code]

[7] Feijiang Li, Jieting Wang, Yuhua Qian, Guoqing Liu, Keqi Wang, Fuzzy Ensemble Clustering Based on Self Co-Association and Prototype Propagation, IEEE Transactions on Fuzzy Systems, 2023, 31(10): 3610-3623. [Demo Code]

[8] Feijiang Li, Yuhua Qian, Jieting Wang, Jiye Liang. Multigranulation information fusion: A Dempster-Shafer evidence theory-based clustering ensemble method. Information Sciences, 2017, 378: 389-409

[9] Feijiang Li, Yuhua Qian, Jieting Wang, Furong Peng, Jiye Liang, Clustering mixed type data: a space structure-based approach, International Journal of Machine Learning and Cybernetics, 2022, 13: 2799-2812

[10] Jue Li, Yuhua Qian, Jieting Wang, Saixiong Liu, PHSIC Against Random Consistency and Its Application in Causal Inference, Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024: 2108-2116

[11] Feijiang Li, Yuhua Qian, Jieting Wang, GoT: a growing tree model for clustering ensemble. The Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021, 35(9): 8349-8356. [Demo Code]

[12] Zhanwen Cheng, Feijiang Li, Jieting Wang, Yuhua Qian, Deep Embedding Clustering Driven by Sample Stability, Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024: 3854-3862

[13] Feijiang Li, Jieting Wang, Liuya zhang, Yuhua Qian, Shuai Jin, Tao Yan, Liang Du, k-HyperEdge Medoids for Clustering Ensemble, Proceedings of the AAAI Conference on Artificial Intelligence, 2025. [Demo Code]

[14] 王婕婷, 李飞江, 李珏, 钱宇华, 梁吉业. 缓解随机一致性的基尼指数与决策树方法. 中国科学: 信息科学, 2024, 54(1): 159-190

[15] 王婕婷, 钱宇华, 李飞江, 刘郭庆. 消除随机一致性的支持向量机分类方法. 计算机研究与发展, 2020, 57(8): 1581-1593

[16] 李飞江, 钱宇华, 王婕婷, 梁吉业, 王文剑. 基于样本稳定性的聚类方法. 中国科学: 信息科学, 2020, 50(8): 1239-1254. [Demo Code]

[17] 闫涛, 钱宇华, 李飞江, 闫泓任, 王婕婷, 梁吉业, 郑珂银, 吴鹏, 陈路, 胡治国, 乔志伟, 张江峰, 翟小鹏. 三维时频变换视角的智能微观三维形貌重建方法. 中国科学: 信息科学, 2023, 53(2): 282-308

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