Set-based granular computing: A lattice model. - Yuhua Qian; Hu Zhang 003; Feijiang Li; Qinghua Hu; Jiye Liang (Int. J. Approx. Reason., 2014)

一种对应约束的决策表属性约简算法 (Decision Table Attribute Reduction Algorithm Based on Correspondence Constraints). - Honghong Cheng; Xiaoqin Zhang; Feijiang Li; Yuhua Qian (计算机科学, 2015)

Space Structure and Clustering of Categorical Data. - Yuhua Qian; Feijiang Li; Jiye Liang; Bing Liu 001; Chuangyin Dang (IEEE Trans. Neural Networks Learn. Syst., 2016)

Multigranulation information fusion: A Dempster-Shafer evidence theory-based clustering ensemble method. - Feijiang Li; Yuhua Qian; Jieting Wang; Jiye Liang (Inf. Sci., 2017)

Cluster's Quality Evaluation and Selective Clustering Ensemble. - Feijiang Li; Yuhua Qian; Jieting Wang; Chuangyin Dang; Bing Liu 001 (ACM Trans. Knowl. Discov. Data, 2018)

Prototype Propagation Clustering Based on Large Margin. - Feijiang Li; Yuhua Qian; Jieting Wang (ICDM Workshops, 2019)

Clustering ensemble based on sample's stability. - Feijiang Li; Yuhua Qian; Jieting Wang; Chuangyin Dang; Liping Jing (Artif. Intell., 2019)

Learning with mitigating random consistency from the accuracy measure. - Jieting Wang; Yuhua Qian; Feijiang Li (Mach. Learn., 2020)

Fusing Fuzzy Monotonic Decision Trees. - Jieting Wang; Yuhua Qian; Feijiang Li; Jiye Liang; Weiping Ding 001 (IEEE Trans. Fuzzy Syst., 2020)

GoT: a Growing Tree Model for Clustering Ensemble. - Feijiang Li; Yuhua Qian; Jieting Wang (AAAI, 2021)

Image deep clustering based on local-topology embedding. - Jing Pan; Yuhua Qian; Feijiang Li; Qian Guo (Pattern Recognit. Lett., 2021)

Clustering mixed type data: a space structure-based approach. - Feijiang Li; Yuhua Qian; Jieting Wang; Furong Peng; Jiye Liang (Int. J. Mach. Learn. Cybern., 2022)

Generalization Performance of Pure Accuracy and its Application in Selective Ensemble Learning. - Jieting Wang; Yuhua Qian; Feijiang Li; Jiye Liang; Qingfu Zhang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Fuzzy Ensemble Clustering Based on Self-Coassociation and Prototype Propagation. - Feijiang Li; Jieting Wang; Yuhua Qian; Guoqing Liu; Keqi Wang (IEEE Trans. Fuzzy Syst., 2023)

Cross-Domain Contrastive Learning for Time Series Clustering. - Furong Peng; Jiachen Luo; Xuan Lu; Sheng Wang; Feijiang Li (AAAI, 2024)

Deep Embedding Clustering Driven by Sample Stability. - Zhanwen Cheng; Feijiang Li; Jieting Wang; Yuhua Qian (IJCAI, 2024)

Neural Collapse To Multiple Centers For Imbalanced Data. - Hongren Yan; Yuhua Qian; Furong Peng; Jiachen Luo; Zheqing Zhu; Feijiang Li (NeurIPS, 2024)

Sharper Error Bounds in Late Fusion Multi-view Clustering Using Eigenvalue Proportion. - Liang Du 003; Henghui Jiang; Xiaodong Li; Yiqing Guo; Yan Chen 036; Feijiang Li; Peng Zhou 006; Yuhua Qian (CoRR, 2024)

Sharper Error Bounds in Late Fusion Multi-view Clustering with Eigenvalue Proportion Optimization. - Liang Du 003; Henghui Jiang; Xiaodong Li; Yiqing Guo; Yan Chen 036; Feijiang Li; Peng Zhou 012; Yuhua Qian (AAAI, 2025)

Semi-Supervised Multi-View Multi-Label Learning with View-Specific Transformer and Enhanced Pseudo-Label. - Quanjiang Li; Tingjin Luo; Mingdie Jiang; Zhangqi Jiang; Chenping Hou; Feijiang Li (AAAI, 2025)

k-HyperEdge Medoids for Clustering Ensemble. - Feijiang Li; Jieting Wang; Liuya Zhang; Yuhua Qian; Shuai Jin; Tao Yan; Liang Du 003 (AAAI, 2025)

Feature Subspace Learning-Based Binary Differential Evolution Algorithm for Unsupervised Feature Selection. - Tao Li 023; Yuhua Qian; Feijiang Li; Xinyan Liang; Zhi-Hui Zhan (IEEE Trans. Big Data, 2025)

RSS-Bagging: Improving Generalization Through the Fisher Information of Training Data. - Jieting Wang; Feijiang Li; Jue Li; Chenping Hou; Yuhua Qian; Jiye Liang (IEEE Trans. Neural Networks Learn. Syst., 2025)

Ranked Set Sampling-Based Multilayer Perceptron: Improving Generalization via Variance-Based Bounds. - Feijiang Li; Liuya Zhang; Jieting Wang; Tao Yan; Yuhua Qian (CoRR, 2025)

Hybrid Causal Identification and Causal Mechanism Clustering. - Saixiong Liu; Yuhua Qian; Jue Li; Honghong Cheng; Feijiang Li (CoRR, 2025)

A dual mixture-of-experts framework for multi-view K-means clustering with view balance and regional sparsity. - Liang Du 003; Yukai Shi; Yan Chen 036; Feijiang Li; Peng Zhou 006; Lei Duan; Yuhua Qian (Inf. Fusion, 2026)