An initialization method for the K-Means algorithm using neighborhood model. - Fuyuan Cao; Jiye Liang; Guang Jiang (Comput. Math. Appl., 2009)

A new initialization method for categorical data clustering. - Fuyuan Cao; Jiye Liang; Liang Bai (Expert Syst. Appl., 2009)

A Framework for Clustering Categorical Time-Evolving Data. - Fuyuan Cao; Jiye Liang; Liang Bai; Xingwang Zhao; Chuangyin Dang (IEEE Trans. Fuzzy Syst., 2010)

A data labeling method for clustering categorical data. - Fuyuan Cao; Jiye Liang (Expert Syst. Appl., 2011)

A novel attribute weighting algorithm for clustering high-dimensional categorical data. - Liang Bai; Jiye Liang; Chuangyin Dang; Fuyuan Cao (Pattern Recognit., 2011)

A cluster centers initialization method for clustering categorical data. - Liang Bai; Jiye Liang; Chuangyin Dang; Fuyuan Cao (Expert Syst. Appl., 2012)

A dissimilarity measure for the k-Modes clustering algorithm. - Fuyuan Cao; Jiye Liang; Deyu Li; Liang Bai; Chuangyin Dang (Knowl. Based Syst., 2012)

Determining the number of clusters using information entropy for mixed data. - Jiye Liang; Xingwang Zhao; Deyu Li; Fuyuan Cao; Chuangyin Dang (Pattern Recognit., 2012)

The K -Means-Type Algorithms Versus Imbalanced Data Distributions. - Jiye Liang; Liang Bai; Chuangyin Dang; Fuyuan Cao (IEEE Trans. Fuzzy Syst., 2012)

A cross cluster-based collaborative filtering method for recommendation. - Ming Gao; Fuyuan Cao; Joshua Zhexue Huang (ICIA, 2013)

A Concept-Drifting Detection Algorithm for Categorical Evolving Data. - Fuyuan Cao; Joshua Zhexue Huang (PAKDD (2), 2013)

A novel fuzzy clustering algorithm with between-cluster information for categorical data. - Liang Bai; Jiye Liang; Chuangyin Dang; Fuyuan Cao (Fuzzy Sets Syst., 2013)

A weighting k-modes algorithm for subspace clustering of categorical data. - Fuyuan Cao; Jiye Liang; Deyu Li; Xingwang Zhao (Neurocomputing, 2013)

The Impact of Cluster Representatives on the Convergence of the (K)-Modes Type Clustering. - Liang Bai; Jiye Liang; Chuangyin Dang; Fuyuan Cao (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Trend analysis of categorical data streams with a concept change method. - Fuyuan Cao; Joshua Zhexue Huang; Jiye Liang (Inf. Sci., 2014)

A simple and effective outlier detection algorithm for categorical data. - Xingwang Zhao; Jiye Liang; Fuyuan Cao (Int. J. Mach. Learn. Cybern., 2014)

A fuzzy SV-k-modes algorithm for clustering categorical data with set-valued attributes. - Fuyuan Cao; Joshua Zhexue Huang; Jiye Liang (Appl. Math. Comput., 2017)

k-mw-modes: An algorithm for clustering categorical matrix-object data. - Fuyuan Cao; Liqin Yu; Joshua Zhexue Huang; Jiye Liang (Appl. Soft Comput., 2017)

On distances in vertex-weighted trees. - Qingqiong Cai; Fuyuan Cao; Tao Li 022; Hua Wang 003 (Appl. Math. Comput., 2018)

A sequential ensemble clusterings generation algorithm for mixed data. - Xingwang Zhao; Fuyuan Cao; Jiye Liang (Appl. Math. Comput., 2018)

A new distance with derivative information for functional k-means clustering algorithm. - Yinfeng Meng; Jiye Liang; Fuyuan Cao; Yijun He (Inf. Sci., 2018)

An Algorithm for Clustering Categorical Data With Set-Valued Features. - Fuyuan Cao; Joshua Zhexue Huang; Jiye Liang; Xingwang Zhao; Yinfeng Meng; Kai Feng; Yuhua Qian (IEEE Trans. Neural Networks Learn. Syst., 2018)

Online Social Information Propagation Analysis Based on Time-Delay Mixture Diffusion Model. - Minhua Zhang; Youtian Du; Guangxun Zhang; Yujie Xie; Fuyuan Cao (BigMM, 2019)

Embedded Representation of Relation Words with Visual Supervision. - Xue Wang; Youtian Du; Xuelian Li; Fuyuan Cao; Chang Su 002 (IRC, 2019)

融合多因素的兴趣点协同推荐方法研究 (Study on Point-of-interest Collaborative Recommendation Method Fusing Multi-factors). - Jiong Chen; Hu Zhang; Fuyuan Cao (计算机科学, 2019)

基于谱聚类的二分网络社区发现算法 (Detecting Community from Bipartite Network Based on Spectral Clustering). - Xiaoqin Zhang; Xiaodan An; Fuyuan Cao (计算机科学, 2019)

一种基于样本分层的双向过采样方法 (Bi-directional Oversampling Method Based on Sample Stratification). - Xiaomin Zhou; Fuyuan Cao; Liqin Yu (计算机科学, 2019)

ContourGAN: Image contour detection with generative adversarial network. - Hongju Yang; Yao Li; Xuefeng Yan; Fuyuan Cao (Knowl. Based Syst., 2019)

A Cluster-Weighted Kernel K-Means Method for Multi-View Clustering. - Jing Liu; Fuyuan Cao; Xiao-Zhi Gao 001; Liqin Yu; Jiye Liang (AAAI, 2020)

Combining attribute content and label information for categorical data ensemble clustering. - Liqin Yu; Fuyuan Cao; Xingwang Zhao; Xiaodan Yang; Jiye Liang (Appl. Math. Comput., 2020)

A multiple k-means clustering ensemble algorithm to find nonlinearly separable clusters. - Liang Bai; Jiye Liang; Fuyuan Cao (Inf. Fusion, 2020)

An outlier detection algorithm for categorical matrix-object data. - Fuyuan Cao; Xiaolin Wu; Liqin Yu; Jiye Liang (Appl. Soft Comput., 2021)

k-Mnv-Rep: A k-type clustering algorithm for matrix-object data. - Liqin Yu; Fuyuan Cao; Xiao-Zhi Gao 001; Jing Liu; Jiye Liang (Inf. Sci., 2021)

Semi-Supervised Clustering With Constraints of Different Types From Multiple Information Sources. - Liang Bai; Jiye Liang; Fuyuan Cao (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Instance Selection: A Bayesian Decision Theory Perspective. - Qingqiang Chen; Fuyuan Cao; Ying Xing; Jiye Liang (AAAI, 2022)

Efficient Causal Structure Learning from Multiple Interventional Datasets with Unknown Targets. - Yunxia Wang; Fuyuan Cao; Kui Yu; Jiye Liang (AAAI, 2022)

Incomplete multi-view clustering via local and global co-regularization. - Jiye Liang; Xiaolin Liu; Liang Bai; Fuyuan Cao; Dianhui Wang (Sci. China Inf. Sci., 2022)

Weighted matrix-object data clustering guided by matrix-object distributions. - Liqin Yu; Fuyuan Cao (Eng. Appl. Artif. Intell., 2022)

Error-aware Markov blanket learning for causal feature selection. - Xianjie Guo; Kui Yu; Fuyuan Cao; Pei-Pei Li 001; Hao Wang 008 (Inf. Sci., 2022)

Centroids-guided deep multi-view K-means clustering. - Jing Liu; Fuyuan Cao; Jiye Liang (Inf. Sci., 2022)

Towards Efficient Local Causal Structure Learning. - Shuai Yang 003; Hao Wang 008; Kui Yu; Fuyuan Cao; Xindong Wu 001 (IEEE Trans. Big Data, 2022)

Dual-Representation-Based Autoencoder for Domain Adaptation. - Shuai Yang 003; Kui Yu; Fuyuan Cao; Hao Wang 008; Xindong Wu 001 (IEEE Trans. Cybern., 2022)

A relative labeling importance estimation algorithm based on global-local label correlations for multi-label learning. - Yilu Liu; Fuyuan Cao (Appl. Intell., 2023)

Learning Causal Representations for Robust Domain Adaptation. - Shuai Yang 003; Kui Yu; Fuyuan Cao; Lin Liu 003; Hao Wang 008; Jiuyong Li (IEEE Trans. Knowl. Data Eng., 2023)

Evaluating Classification Model Against Bayes Error Rate. - Qingqiang Chen; Fuyuan Cao; Ying Xing; Jiye Liang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Local Causal Discovery in Multiple Manipulated Datasets. - Yunxia Wang; Fuyuan Cao; Kui Yu; Jiye Liang (IEEE Trans. Neural Networks Learn. Syst., 2023)

Towards Privacy-Aware Causal Structure Learning in Federated Setting. - Jianli Huang; Xianjie Guo; Kui Yu; Fuyuan Cao; Jiye Liang (IEEE Trans. Big Data, 2023)

Towards Effective Graph Rationalization via Boosting Environment Diversity. - Yujie Wang 003; Kui Yu; Yuhong Zhang 002; Fuyuan Cao; Jiye Liang (CoRR, 2024)

Block Domain Knowledge-Driven Learning of Chain Graphs Structure. - Shujing Yang; Fuyuan Cao (J. Artif. Intell. Res., 2024)

Discovering causally invariant features for out-of-distribution generalization. - Yujie Wang 003; Kui Yu; Guodu Xiang; Fuyuan Cao; Jiye Liang (Pattern Recognit., 2024)

Causal Feature Selection With Dual Correction. - Xianjie Guo; Kui Yu; Lin Liu 003; Fuyuan Cao; Jiuyong Li (IEEE Trans. Neural Networks Learn. Syst., 2024)

Deep multi-view graph clustering network with weighting mechanism and collaborative training. - Jing Liu; Fuyuan Cao; Xuechun Jing; Jiye Liang (Expert Syst. Appl., 2024)

A general elevating framework for label noise filters. - Qingqiang Chen; Gaoxia Jiang; Fuyuan Cao; Changqian Men; Wenjian Wang (Pattern Recognit., 2024)

Efficient Classification by Removing Bayesian Confusing Samples. - Fuyuan Cao; Qingqiang Chen; Ying Xing; Jiye Liang (IEEE Trans. Knowl. Data Eng., 2024)

Bootstrap-Based Layerwise Refining for Causal Structure Learning. - Guodu Xiang; Hao Wang 008; Kui Yu; Xianjie Guo; Fuyuan Cao; Yukun Song (IEEE Trans. Artif. Intell., 2024)

Learning Causal Chain Graph Structure via Alternate Learning and Double Pruning. - Shujing Yang; Fuyuan Cao; Kui Yu; Jiye Liang (IEEE Trans. Big Data, 2024)

Causal Discovery From Unknown Interventional Datasets Over Overlapping Variable Sets. - Fuyuan Cao; Yunxia Wang; Kui Yu; Jiye Liang (IEEE Trans. Knowl. Data Eng., 2024)

Progressive Skeleton Learning for Effective Local-to-Global Causal Structure Learning. - Xianjie Guo; Kui Yu; Lin Liu 003; Jiuyong Li; Jiye Liang; Fuyuan Cao; Xindong Wu 001 (IEEE Trans. Knowl. Data Eng., 2024)

Federated local causal structure learning. - Kui Yu; Chen Rong; Hao Wang 008; Fuyuan Cao; Jiye Liang (Sci. China Inf. Sci., 2025)

Chain graphs structure learning given local background knowledge. - Shujing Yang; Fuyuan Cao; Kui Yu; Jiye Liang (Int. J. Approx. Reason., 2025)

FWCEC: An Enhanced Feature Weighting Method via Causal Effect for Clustering. - Fuyuan Cao; Xuechun Jing; Kui Yu; Jiye Liang (IEEE Trans. Knowl. Data Eng., 2025)

CM-CaFE: A Clustering Method with Causality-based Feature Embedding. - Xuechun Jing; Fuyuan Cao; Kui Yu; Jiye Liang (ACM Trans. Knowl. Discov. Data, 2025)

Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field. - Hong Nie; Fuyuan Cao; Lu Chen; Fengxin Chen; Yuefeng Zou; Jun Yu (CoRR, 2025)

An efficient Bayes error rate estimation method. - Qingqiang Chen; Fuyuan Cao; Ying Xing; Jiye Liang (Mach. Learn., 2025)

Summary Graph Induced Invariant Learning for Generalizable Graph Learning. - Xuecheng Ning; Yujie Wang 003; Kui Yu; Jiali Miao; Fuyuan Cao; Jiye Liang (IEEE Trans. Knowl. Data Eng., 2025)

FedECE: Federated Estimation of Causal Effect Based on Causal Graphical Modeling. - Yongsheng Zhao; Kui Yu; Guodu Xiang; Xianjie Guo; Fuyuan Cao (IEEE Trans. Artif. Intell., 2025)

Revisiting fine-grained classification: A dual-branch method for noise-resilient and global-local discriminative learning. - Hongju Yang; Huiming He; Yao Li; Fuyuan Cao (Expert Syst. Appl., 2026)