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Journal Articles
- 2024
[j48]Jing Liu, Fuyuan Cao
, Xuechun Jing, Jiye Liang:
Deep multi-view graph clustering network with weighting mechanism and collaborative training. Expert Syst. Appl. 236: 121298 (2024)- [j47]Shujing Yang, Fuyuan Cao:
Block Domain Knowledge-Driven Learning of Chain Graphs Structure. J. Artif. Intell. Res. 80: 209-242 (2024) - [j46]Qingqiang Chen, Gaoxia Jiang, Fuyuan Cao, Changqian Men, Wenjian Wang:
A general elevating framework for label noise filters. Pattern Recognit. 147: 110072 (2024) - [j45]Yujie Wang, Kui Yu, Guodu Xiang, Fuyuan Cao, Jiye Liang:
Discovering causally invariant features for out-of-distribution generalization. Pattern Recognit. 150: 110338 (2024) - [j44]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): 2708-2722 (2024) - [j43]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): 442-456 (2024) - [j42]Fuyuan Cao, Qingqiang Chen, Ying Xing, Jiye Liang:
Efficient Classification by Removing Bayesian Confusing Samples. IEEE Trans. Knowl. Data Eng. 36(3): 1084-1098 (2024) - [j41]Xianjie Guo, Kui Yu, Lin Liu, Fuyuan Cao, Jiuyong Li:
Causal Feature Selection With Dual Correction. IEEE Trans. Neural Networks Learn. Syst. 35(1): 938-951 (2024) - 2023
- [j40]Yilu Liu, Fuyuan Cao:
A relative labeling importance estimation algorithm based on global-local label correlations for multi-label learning. Appl. Intell. 53(5): 4940-4958 (2023) - [j39]Qingqiang Chen, Fuyuan Cao, Ying Xing, Jiye Liang:
Evaluating Classification Model Against Bayes Error Rate. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9639-9653 (2023) - [j38]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): 1525-1535 (2023) - [j37]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): 2750-2764 (2023) - [j36]Yunxia Wang, Fuyuan Cao, Kui Yu, Jiye Liang:
Local Causal Discovery in Multiple Manipulated Datasets. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7235-7247 (2023) - 2022
- [j35]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): 1-16 (2022) - [j34]Liqin Yu, Fuyuan Cao:
Weighted matrix-object data clustering guided by matrix-object distributions. Eng. Appl. Artif. Intell. 109: 104612 (2022) - [j33]Xianjie Guo, Kui Yu, Fuyuan Cao, Pei-Pei Li, Hao Wang:
Error-aware Markov blanket learning for causal feature selection. Inf. Sci. 589: 849-877 (2022) - [j32]Jing Liu, Fuyuan Cao, Jiye Liang:
Centroids-guided deep multi-view K-means clustering. Inf. Sci. 609: 876-896 (2022) - [j31]Shuai Yang, Hao Wang, Kui Yu, Fuyuan Cao, Xindong Wu:
Towards Efficient Local Causal Structure Learning. IEEE Trans. Big Data 8(6): 1592-1609 (2022) - [j30]Shuai Yang, Kui Yu, Fuyuan Cao, Hao Wang, Xindong Wu:
Dual-Representation-Based Autoencoder for Domain Adaptation. IEEE Trans. Cybern. 52(8): 7464-7477 (2022) - 2021
- [j29]Fuyuan Cao, Xiaolin Wu, Liqin Yu, Jiye Liang:
An outlier detection algorithm for categorical matrix-object data. Appl. Soft Comput. 104: 107182 (2021) - [j28]Liqin Yu, Fuyuan Cao, Xiao-Zhi Gao, Jing Liu, Jiye Liang:
k-Mnv-Rep: A k-type clustering algorithm for matrix-object data. Inf. Sci. 542: 40-57 (2021) - [j27]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): 3247-3258 (2021) - 2020
- [j26]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: 125280 (2020) - [j25]Liang Bai, Jiye Liang, Fuyuan Cao:
A multiple k-means clustering ensemble algorithm to find nonlinearly separable clusters. Inf. Fusion 61: 36-47 (2020) - 2019
- [j24]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): 216-221 (2019) - [j23]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): 77-83 (2019) - [j22]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): 83-88 (2019) - [j21]Hongju Yang, Yao Li, Xuefeng Yan, Fuyuan Cao:
ContourGAN: Image contour detection with generative adversarial network. Knowl. Based Syst. 164: 21-28 (2019) - 2018
- [j20]Qingqiong Cai, Fuyuan Cao, Tao Li, Hua Wang:
On distances in vertex-weighted trees. Appl. Math. Comput. 333: 435-442 (2018) - [j19]Xingwang Zhao, Fuyuan Cao, Jiye Liang:
A sequential ensemble clusterings generation algorithm for mixed data. Appl. Math. Comput. 335: 264-277 (2018) - [j18]Yinfeng Meng, Jiye Liang, Fuyuan Cao, Yijun He:
A new distance with derivative information for functional k-means clustering algorithm. Inf. Sci. 463-464: 166-185 (2018) - [j17]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): 4593-4606 (2018) - 2017
- [j16]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: 1-15 (2017) - [j15]Fuyuan Cao, Liqin Yu, Joshua Zhexue Huang, Jiye Liang:
k-mw-modes: An algorithm for clustering categorical matrix-object data. Appl. Soft Comput. 57: 605-614 (2017) - 2014
- [j14]Fuyuan Cao, Joshua Zhexue Huang, Jiye Liang:
Trend analysis of categorical data streams with a concept change method. Inf. Sci. 276: 160-173 (2014) - [j13]Xingwang Zhao, Jiye Liang, Fuyuan Cao:
A simple and effective outlier detection algorithm for categorical data. Int. J. Mach. Learn. Cybern. 5(3): 469-477 (2014) - 2013
- [j12]Liang Bai, Jiye Liang, Chuangyin Dang, Fuyuan Cao:
A novel fuzzy clustering algorithm with between-cluster information for categorical data. Fuzzy Sets Syst. 215: 55-73 (2013) - [j11]Fuyuan Cao, Jiye Liang, Deyu Li, Xingwang Zhao:
A weighting k-modes algorithm for subspace clustering of categorical data. Neurocomputing 108: 23-30 (2013) - [j10]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): 1509-1522 (2013) - 2012
- [j9]Liang Bai, Jiye Liang, Chuangyin Dang, Fuyuan Cao:
A cluster centers initialization method for clustering categorical data. Expert Syst. Appl. 39(9): 8022-8029 (2012) - [j8]Fuyuan Cao, Jiye Liang, Deyu Li, Liang Bai, Chuangyin Dang:
A dissimilarity measure for the k-Modes clustering algorithm. Knowl. Based Syst. 26: 120-127 (2012) - [j7]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): 2251-2265 (2012) - [j6]Jiye Liang, Liang Bai, Chuangyin Dang, Fuyuan Cao:
The K -Means-Type Algorithms Versus Imbalanced Data Distributions. IEEE Trans. Fuzzy Syst. 20(4): 728-745 (2012) - 2011
- [j5]Fuyuan Cao, Jiye Liang:
A data labeling method for clustering categorical data. Expert Syst. Appl. 38(3): 2381-2385 (2011) - [j4]Liang Bai, Jiye Liang, Chuangyin Dang, Fuyuan Cao:
A novel attribute weighting algorithm for clustering high-dimensional categorical data. Pattern Recognit. 44(12): 2843-2861 (2011) - 2010
- [j3]Fuyuan Cao, Jiye Liang, Liang Bai, Xingwang Zhao, Chuangyin Dang:
A Framework for Clustering Categorical Time-Evolving Data. IEEE Trans. Fuzzy Syst. 18(5): 872-882 (2010) - 2009
- [j2]Fuyuan Cao, Jiye Liang, Guang Jiang:
An initialization method for the K-Means algorithm using neighborhood model. Comput. Math. Appl. 58(3): 474-483 (2009) - [j1]Fuyuan Cao, Jiye Liang, Liang Bai:
A new initialization method for categorical data clustering. Expert Syst. Appl. 36(7): 10223-10228 (2009)
Conference and Workshop Papers
- 2022
- [c7]Qingqiang Chen, Fuyuan Cao, Ying Xing, Jiye Liang:
Instance Selection: A Bayesian Decision Theory Perspective. AAAI 2022: 6287-6294 - [c6]Yunxia Wang, Fuyuan Cao, Kui Yu, Jiye Liang:
Efficient Causal Structure Learning from Multiple Interventional Datasets with Unknown Targets. AAAI 2022: 8584-8593 - 2020
- [c5]Jing Liu, Fuyuan Cao, Xiao-Zhi Gao, Liqin Yu, Jiye Liang:
A Cluster-Weighted Kernel K-Means Method for Multi-View Clustering. AAAI 2020: 4860-4867 - 2019
- [c4]Minhua Zhang, Youtian Du, Guangxun Zhang, Yujie Xie, Fuyuan Cao:
Online Social Information Propagation Analysis Based on Time-Delay Mixture Diffusion Model. BigMM 2019: 331-337 - [c3]Xue Wang, Youtian Du, Xuelian Li, Fuyuan Cao, Chang Su:
Embedded Representation of Relation Words with Visual Supervision. IRC 2019: 409-412 - 2013
- [c2]Ming Gao, Fuyuan Cao, Joshua Zhexue Huang:
A cross cluster-based collaborative filtering method for recommendation. ICIA 2013: 447-452 - [c1]Fuyuan Cao, Joshua Zhexue Huang:
A Concept-Drifting Detection Algorithm for Categorical Evolving Data. PAKDD (2) 2013: 485-496
Informal and Other Publications
- 2022
- [i3]Jianli Huang, Kui Yu, Xianjie Guo, Fuyuan Cao, Jiye Liang:
Towards Privacy-Aware Causal Structure Learning in Federated Setting. CoRR abs/2211.06919 (2022) - 2021
- [i2]Shuai Yang, Hao Wang, Kui Yu, Fuyuan Cao, Xindong Wu:
Towards Efficient Local Causal Structure Learning. CoRR abs/2103.00378 (2021) - 2020
- [i1]Shuai Yang, Kui Yu, Fuyuan Cao, Lin Liu, Hao Wang, Jiuyong Li:
Learning causal representations for robust domain adaptation. CoRR abs/2011.06317 (2020)
Coauthor Index
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last updated on 2024-10-07 22:11 CEST by the dblp team
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