Fuyuan Cao

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 42

Top Topics

Causal Structure

Categorical Data

Clustering Algorithm

Top Venues

Appl. Math. Comput.

IEEE Trans. Neural Networks Learn. Syst.

Publications

Jing Liu, Fuyuan Cao, Xuechun Jing, Jiye Liang
Deep multi-view graph clustering network with weighting mechanism and collaborative training. Expert Syst. Appl. 236 (2024)
Xianjie Guo, Kui Yu, Lin Liu, Fuyuan Cao, Jiuyong Li
Causal Feature Selection With Dual Correction. IEEE Trans. Neural Networks Learn. Syst. 35 (1) (2024)
Shujing Yang, Fuyuan Cao, Kui Yu, Jiye Liang
Learning Causal Chain Graph Structure via Alternate Learning and Double Pruning. IEEE Trans. Big Data 10 (4) (2024)
Guodu Xiang, Hao Wang, Kui Yu, Xianjie Guo, Fuyuan Cao, Yukun Song
Bootstrap-Based Layerwise Refining for Causal Structure Learning. IEEE Trans. Artif. Intell. 5 (6) (2024)
Fuyuan Cao, Qingqiang Chen, Ying Xing, Jiye Liang
Efficient Classification by Removing Bayesian Confusing Samples. IEEE Trans. Knowl. Data Eng. 36 (3) (2024)
Qingqiang Chen, Gaoxia Jiang, Fuyuan Cao, Changqian Men, Wenjian Wang
A general elevating framework for label noise filters. Pattern Recognit. 147 (2024)
Shujing Yang, Fuyuan Cao
Block Domain Knowledge-Driven Learning of Chain Graphs Structure. J. Artif. Intell. Res. 80 (2024)
Yujie Wang, Kui Yu, Guodu Xiang, Fuyuan Cao, Jiye Liang
Discovering causally invariant features for out-of-distribution generalization. Pattern Recognit. 150 (2024)
Yunxia Wang, Fuyuan Cao, Kui Yu, Jiye Liang
Local Causal Discovery in Multiple Manipulated Datasets. IEEE Trans. Neural Networks Learn. Syst. 34 (10) (2023)
Shuai Yang, Kui Yu, Fuyuan Cao, Lin Liu, Hao Wang, Jiuyong Li
Learning Causal Representations for Robust Domain Adaptation. IEEE Trans. Knowl. Data Eng. 35 (3) (2023)
Qingqiang Chen, Fuyuan Cao, Ying Xing, Jiye Liang
Evaluating Classification Model Against Bayes Error Rate. IEEE Trans. Pattern Anal. Mach. Intell. 45 (8) (2023)
Yilu Liu, Fuyuan Cao
A relative labeling importance estimation algorithm based on global-local label correlations for multi-label learning. Appl. Intell. 53 (5) (2023)
Jianli Huang, Xianjie Guo, Kui Yu, Fuyuan Cao, Jiye Liang
Towards Privacy-Aware Causal Structure Learning in Federated Setting. IEEE Trans. Big Data 9 (6) (2023)
Jiye Liang, Xiaolin Liu, Liang Bai, Fuyuan Cao, Dianhui Wang
Incomplete multi-view clustering via local and global co-regularization. Sci. China Inf. Sci. 65 (5) (2022)
Jianli Huang, Kui Yu, Xianjie Guo, Fuyuan Cao, Jiye Liang
Towards Privacy-Aware Causal Structure Learning in Federated Setting. CoRR (2022)
Shuai Yang, Kui Yu, Fuyuan Cao, Hao Wang, Xindong Wu
Dual-Representation-Based Autoencoder for Domain Adaptation. IEEE Trans. Cybern. 52 (8) (2022)
Shuai Yang, Hao Wang, Kui Yu, Fuyuan Cao, Xindong Wu
Towards Efficient Local Causal Structure Learning. IEEE Trans. Big Data 8 (6) (2022)
Xianjie Guo, Kui Yu, Fuyuan Cao, Pei-Pei Li, Hao Wang
Error-aware Markov blanket learning for causal feature selection. Inf. Sci. 589 (2022)
Qingqiang Chen, Fuyuan Cao, Ying Xing, Jiye Liang
Instance Selection: A Bayesian Decision Theory Perspective. AAAI (2022)
Jing Liu, Fuyuan Cao, Jiye Liang
-means clustering. Inf. Sci. 609 (2022)
Yunxia Wang, Fuyuan Cao, Kui Yu, Jiye Liang
Efficient Causal Structure Learning from Multiple Interventional Datasets with Unknown Targets. AAAI (2022)
Liqin Yu, Fuyuan Cao
Weighted matrix-object data clustering guided by matrix-object distributions. Eng. Appl. Artif. Intell. 109 (2022)
Liang Bai, Jiye Liang, Fuyuan Cao
Semi-Supervised Clustering With Constraints of Different Types From Multiple Information Sources. IEEE Trans. Pattern Anal. Mach. Intell. 43 (9) (2021)
Fuyuan Cao, Xiaolin Wu, Liqin Yu, Jiye Liang
An outlier detection algorithm for categorical matrix-object data. Appl. Soft Comput. 104 (2021)
Shuai Yang, Hao Wang, Kui Yu, Fuyuan Cao, Xindong Wu
Towards Efficient Local Causal Structure Learning. CoRR (2021)
Liqin Yu, Fuyuan Cao, Xiao-Zhi Gao, Jing Liu, Jiye Liang
-type clustering algorithm for matrix-object data. Inf. Sci. 542 (2021)
Jing Liu, Fuyuan Cao, Xiao-Zhi Gao, Liqin Yu, Jiye Liang
A Cluster-Weighted Kernel K-Means Method for Multi-View Clustering. AAAI (2020)
Shuai Yang, Kui Yu, Fuyuan Cao, Lin Liu, Hao Wang, Jiuyong Li
Learning causal representations for robust domain adaptation. CoRR (2020)
Liqin Yu, Fuyuan Cao, Xingwang Zhao, Xiaodan Yang, Jiye Liang
Combining attribute content and label information for categorical data ensemble clustering. Appl. Math. Comput. 381 (2020)
Liang Bai, Jiye Liang, Fuyuan Cao
-means clustering ensemble algorithm to find nonlinearly separable clusters. Inf. Fusion 61 (2020)
Minhua Zhang, Youtian Du, Guangxun Zhang, Yujie Xie, Fuyuan Cao
Online Social Information Propagation Analysis Based on Time-Delay Mixture Diffusion Model. BigMM (2019)
Xue Wang, Youtian Du, Xuelian Li, Fuyuan Cao, Chang Su
Embedded Representation of Relation Words with Visual Supervision. IRC (2019)
Xiaomin Zhou, Fuyuan Cao, Liqin Yu
一种基于样本分层的双向过采样方法 (Bi-directional Oversampling Method Based on Sample Stratification). 计算机科学 46 (12) (2019)
Hongju Yang, Yao Li, Xuefeng Yan, Fuyuan Cao
ContourGAN: Image contour detection with generative adversarial network. Knowl. Based Syst. 164 (2019)
Xiaoqin Zhang, Xiaodan An, Fuyuan Cao
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). 计算机科学 46 (4) (2019)
Jiong Chen, Hu Zhang, Fuyuan Cao
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). 计算机科学 46 (10) (2019)
Xingwang Zhao, Fuyuan Cao, Jiye Liang
A sequential ensemble clusterings generation algorithm for mixed data. Appl. Math. Comput. 335 (2018)
Fuyuan Cao, Joshua Zhexue Huang, Jiye Liang, Xingwang Zhao, Yinfeng Meng, Kai Feng, Yuhua Qian
An Algorithm for Clustering Categorical Data With Set-Valued Features. IEEE Trans. Neural Networks Learn. Syst. 29 (10) (2018)
Yinfeng Meng, Jiye Liang, Fuyuan Cao, Yijun He
-means clustering algorithm. Inf. Sci. (2018)
Qingqiong Cai, Fuyuan Cao, Tao Li, Hua Wang
On distances in vertex-weighted trees. Appl. Math. Comput. 333 (2018)
Fuyuan Cao, Liqin Yu, Joshua Zhexue Huang, Jiye Liang
k-mw-modes: An algorithm for clustering categorical matrix-object data. Appl. Soft Comput. 57 (2017)
Fuyuan Cao, Joshua Zhexue Huang, Jiye Liang
A fuzzy SV-k-modes algorithm for clustering categorical data with set-valued attributes. Appl. Math. Comput. 295 (2017)
Xingwang Zhao, Jiye Liang, Fuyuan Cao
A simple and effective outlier detection algorithm for categorical data. Int. J. Mach. Learn. Cybern. 5 (3) (2014)
Fuyuan Cao, Joshua Zhexue Huang, Jiye Liang
Trend analysis of categorical data streams with a concept change method. Inf. Sci. 276 (2014)
Liang Bai, Jiye Liang, Chuangyin Dang, Fuyuan Cao
The Impact of Cluster Representatives on the Convergence of the (K)-Modes Type Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 35 (6) (2013)
Fuyuan Cao, Jiye Liang, Deyu Li, Xingwang Zhao
A weighting k-modes algorithm for subspace clustering of categorical data. Neurocomputing 108 (2013)
Fuyuan Cao, Joshua Zhexue Huang
A Concept-Drifting Detection Algorithm for Categorical Evolving Data. PAKDD (2) (2013)
Ming Gao, Fuyuan Cao, Joshua Zhexue Huang
A cross cluster-based collaborative filtering method for recommendation. ICIA (2013)
Liang Bai, Jiye Liang, Chuangyin Dang, Fuyuan Cao
A novel fuzzy clustering algorithm with between-cluster information for categorical data. Fuzzy Sets Syst. 215 (2013)
Liang Bai, Jiye Liang, Chuangyin Dang, Fuyuan Cao
A cluster centers initialization method for clustering categorical data. Expert Syst. Appl. 39 (9) (2012)
Jiye Liang, Liang Bai, Chuangyin Dang, Fuyuan Cao
The K -Means-Type Algorithms Versus Imbalanced Data Distributions. IEEE Trans. Fuzzy Syst. 20 (4) (2012)
Jiye Liang, Xingwang Zhao, Deyu Li, Fuyuan Cao, Chuangyin Dang
Determining the number of clusters using information entropy for mixed data. Pattern Recognit. 45 (6) (2012)
Fuyuan Cao, Jiye Liang, Deyu Li, Liang Bai, Chuangyin Dang
A dissimilarity measure for the k-Modes clustering algorithm. Knowl. Based Syst. 26 (2012)
Liang Bai, Jiye Liang, Chuangyin Dang, Fuyuan Cao
A novel attribute weighting algorithm for clustering high-dimensional categorical data. Pattern Recognit. 44 (12) (2011)
Fuyuan Cao, Jiye Liang
A data labeling method for clustering categorical data. Expert Syst. Appl. 38 (3) (2011)
Fuyuan Cao, Jiye Liang, Liang Bai, Xingwang Zhao, Chuangyin Dang
A Framework for Clustering Categorical Time-Evolving Data. IEEE Trans. Fuzzy Syst. 18 (5) (2010)
Fuyuan Cao, Jiye Liang, Liang Bai
A new initialization method for categorical data clustering. Expert Syst. Appl. 36 (7) (2009)
Fuyuan Cao, Jiye Liang, Guang Jiang
An initialization method for the K-Means algorithm using neighborhood model. Comput. Math. Appl. 58 (3) (2009)