Fuyuan Cao

74 papers A* 6Journal 64Unranked 4
YearRankTypeTitle / Venue / Authors
2026 A* conf
PITE: Multi-Prototype Alignment for Individual Treatment Effect Estimation.
AAAI
Fuyuan Cao, Jiaxuan Zhang, Xiaoli Li
2026 J jnl
Revisiting fine-grained classification: A dual-branch method for noise-resilient and global-local discriminative learning.
Expert Syst. Appl.
Hongju Yang, Huiming He, Yao Li, Fuyuan Cao
2026 J jnl
SPG-Mask: Fine-Grained visual classification with Self-Supervised foreground structural prior driven dynamic mask optimization.
Knowl. Based Syst.
Huiming He, Hongju Yang, Yao Li, Fuyuan Cao
2025 J jnl
An efficient Bayes error rate estimation method.
Mach. Learn.
Qingqiang Chen, Fuyuan Cao, Ying Xing, Jiye Liang
2025 J jnl
CM-CaFE: A Clustering Method with Causality-based Feature Embedding.
ACM Trans. Knowl. Discov. Data
Xuechun Jing, Fuyuan Cao, Kui Yu, Jiye Liang
2025 J jnl
Chain graphs structure learning given local background knowledge.
Int. J. Approx. Reason.
Shujing Yang, Fuyuan Cao, Kui Yu, Jiye Liang
2025 A* conf
Counterfactual Contrastive Learning with Normalizing Flows for Robust Treatment Effect Estimation.
ICML
Jiaxuan Zhang, Emadeldeen Eldele, Fuyuan Cao, Yang Wang, Xiaoli Li, Jiye Liang
2025 J jnl
FWCEC: An Enhanced Feature Weighting Method via Causal Effect for Clustering.
IEEE Trans. Knowl. Data Eng.
Fuyuan Cao, Xuechun Jing, Kui Yu, Jiye Liang
2025 J jnl
FedECE: Federated Estimation of Causal Effect Based on Causal Graphical Modeling.
IEEE Trans. Artif. Intell.
Yongsheng Zhao, Kui Yu, Guodu Xiang, Xianjie Guo, Fuyuan Cao
2025 A* conf
Federated Causal Structure Learning with Non-identical Variable Sets.
ICML
Yunxia Wang, Fuyuan Cao, Kui Yu, Jiye Liang
2025 J jnl
Federated local causal structure learning.
Sci. China Inf. Sci.
Kui Yu, Chen Rong, Hao Wang, Fuyuan Cao, Jiye Liang
2025 J jnl
Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field.
CoRR
Hong Nie, Fuyuan Cao, Lu Chen, Fengxin Chen, Yuefeng Zou, Jun Yu
2025 J jnl
PITE: Multi-Prototype Alignment for Individual Treatment Effect Estimation.
CoRR
Fuyuan Cao, Jiaxuan Zhang, Xiaoli Li
2025 J jnl
Summary Graph Induced Invariant Learning for Generalizable Graph Learning.
IEEE Trans. Knowl. Data Eng.
Xuecheng Ning, Yujie Wang, Kui Yu, Jiali Miao, Fuyuan Cao, Jiye Liang
2024 J jnl
A general elevating framework for label noise filters.
Pattern Recognit.
Qingqiang Chen, Gaoxia Jiang, Fuyuan Cao, Changqian Men, Wenjian Wang
2024 J jnl
Block Domain Knowledge-Driven Learning of Chain Graphs Structure.
J. Artif. Intell. Res.
Shujing Yang, Fuyuan Cao
2024 J jnl
Bootstrap-Based Layerwise Refining for Causal Structure Learning.
IEEE Trans. Artif. Intell.
Guodu Xiang, Hao Wang, Kui Yu, Xianjie Guo, Fuyuan Cao, Yukun Song
2024 J jnl
Causal Discovery From Unknown Interventional Datasets Over Overlapping Variable Sets.
IEEE Trans. Knowl. Data Eng.
Fuyuan Cao, Yunxia Wang, Kui Yu, Jiye Liang
2024 J jnl
Causal Feature Selection With Dual Correction.
IEEE Trans. Neural Networks Learn. Syst.
Xianjie Guo, Kui Yu, Lin Liu, Fuyuan Cao, Jiuyong Li
2024 J jnl
Deep multi-view graph clustering network with weighting mechanism and collaborative training.
Expert Syst. Appl.
Jing Liu, Fuyuan Cao, Xuechun Jing, Jiye Liang
2024 J jnl
Discovering causally invariant features for out-of-distribution generalization.
Pattern Recognit.
Yujie Wang, Kui Yu, Guodu Xiang, Fuyuan Cao, Jiye Liang
2024 J jnl
Efficient Classification by Removing Bayesian Confusing Samples.
IEEE Trans. Knowl. Data Eng.
Fuyuan Cao, Qingqiang Chen, Ying Xing, Jiye Liang
2024 J jnl
Learning Causal Chain Graph Structure via Alternate Learning and Double Pruning.
IEEE Trans. Big Data
Shujing Yang, Fuyuan Cao, Kui Yu, Jiye Liang
2024 J jnl
Progressive Skeleton Learning for Effective Local-to-Global Causal Structure Learning.
IEEE Trans. Knowl. Data Eng.
Xianjie Guo, Kui Yu, Lin Liu, Jiuyong Li, Jiye Liang, Fuyuan Cao, Xindong Wu
2024 J jnl
Towards Effective Graph Rationalization via Boosting Environment Diversity.
CoRR
Yujie Wang, Kui Yu, Yuhong Zhang, Fuyuan Cao, Jiye Liang
2023 J jnl
A relative labeling importance estimation algorithm based on global-local label correlations for multi-label learning.
Appl. Intell.
Yilu Liu, Fuyuan Cao
2023 J jnl
Evaluating Classification Model Against Bayes Error Rate.
IEEE Trans. Pattern Anal. Mach. Intell.
Qingqiang Chen, Fuyuan Cao, Ying Xing, Jiye Liang
2023 J jnl
Learning Causal Representations for Robust Domain Adaptation.
IEEE Trans. Knowl. Data Eng.
Shuai Yang, Kui Yu, Fuyuan Cao, Lin Liu, Hao Wang, Jiuyong Li
2023 J jnl
Local Causal Discovery in Multiple Manipulated Datasets.
IEEE Trans. Neural Networks Learn. Syst.
Yunxia Wang, Fuyuan Cao, Kui Yu, Jiye Liang
2023 J jnl
Towards Privacy-Aware Causal Structure Learning in Federated Setting.
IEEE Trans. Big Data
Jianli Huang, Xianjie Guo, Kui Yu, Fuyuan Cao, Jiye Liang
2022 J jnl
Centroids-guided deep multi-view
Inf. Sci.
Jing Liu, Fuyuan Cao, Jiye Liang
2022 J jnl
Dual-Representation-Based Autoencoder for Domain Adaptation.
IEEE Trans. Cybern.
Shuai Yang, Kui Yu, Fuyuan Cao, Hao Wang, Xindong Wu
2022 A* conf
Efficient Causal Structure Learning from Multiple Interventional Datasets with Unknown Targets.
AAAI
Yunxia Wang, Fuyuan Cao, Kui Yu, Jiye Liang
2022 J jnl
Error-aware Markov blanket learning for causal feature selection.
Inf. Sci.
Xianjie Guo, Kui Yu, Fuyuan Cao, Pei-Pei Li, Hao Wang
2022 J jnl
Incomplete multi-view clustering via local and global co-regularization.
Sci. China Inf. Sci.
Jiye Liang, Xiaolin Liu, Liang Bai, Fuyuan Cao, Dianhui Wang
2022 A* conf
Instance Selection: A Bayesian Decision Theory Perspective.
AAAI
Qingqiang Chen, Fuyuan Cao, Ying Xing, Jiye Liang
2022 J jnl
Towards Efficient Local Causal Structure Learning.
IEEE Trans. Big Data
Shuai Yang, Hao Wang, Kui Yu, Fuyuan Cao, Xindong Wu
2022 J jnl
Towards Privacy-Aware Causal Structure Learning in Federated Setting.
CoRR
Jianli Huang, Kui Yu, Xianjie Guo, Fuyuan Cao, Jiye Liang
2022 J jnl
Weighted matrix-object data clustering guided by matrix-object distributions.
Eng. Appl. Artif. Intell.
Liqin Yu, Fuyuan Cao
2021 J jnl
An outlier detection algorithm for categorical matrix-object data.
Appl. Soft Comput.
Fuyuan Cao, Xiaolin Wu, Liqin Yu, Jiye Liang
2021 J jnl
Semi-Supervised Clustering With Constraints of Different Types From Multiple Information Sources.
IEEE Trans. Pattern Anal. Mach. Intell.
Liang Bai, Jiye Liang, Fuyuan Cao
2021 J jnl
Towards Efficient Local Causal Structure Learning.
CoRR
Shuai Yang, Hao Wang, Kui Yu, Fuyuan Cao, Xindong Wu
2020 A* conf
A Cluster-Weighted Kernel K-Means Method for Multi-View Clustering.
AAAI
Jing Liu, Fuyuan Cao, Xiao-Zhi Gao, Liqin Yu, Jiye Liang
2020 J jnl
A multiple
Inf. Fusion
Liang Bai, Jiye Liang, Fuyuan Cao
2020 J jnl
Combining attribute content and label information for categorical data ensemble clustering.
Appl. Math. Comput.
Liqin Yu, Fuyuan Cao, Xingwang Zhao, Xiaodan Yang, Jiye Liang
2020 J jnl
Learning causal representations for robust domain adaptation.
CoRR
Shuai Yang, Kui Yu, Fuyuan Cao, Lin Liu, Hao Wang, Jiuyong Li
2019 J jnl
ContourGAN: Image contour detection with generative adversarial network.
Knowl. Based Syst.
Hongju Yang, Yao Li, Xuefeng Yan, Fuyuan Cao
2019 — conf
Embedded Representation of Relation Words with Visual Supervision.
IRC
Xue Wang, Youtian Du, Xuelian Li, Fuyuan Cao, Chang Su
2019 — conf
Online Social Information Propagation Analysis Based on Time-Delay Mixture Diffusion Model.
BigMM
Minhua Zhang, Youtian Du, Guangxun Zhang, Yujie Xie, Fuyuan Cao
2019 J jnl
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
Xiaomin Zhou, Fuyuan Cao, Liqin Yu
2019 J jnl
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
Xiaoqin Zhang, Xiaodan An, Fuyuan Cao
2019 J jnl
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
Jiong Chen, Hu Zhang, Fuyuan Cao
2018 J jnl
A new distance with derivative information for functional
Inf. Sci.
Yinfeng Meng, Jiye Liang, Fuyuan Cao, Yijun He
2018 J jnl
A sequential ensemble clusterings generation algorithm for mixed data.
Appl. Math. Comput.
Xingwang Zhao, Fuyuan Cao, Jiye Liang
2018 J jnl
An Algorithm for Clustering Categorical Data With Set-Valued Features.
IEEE Trans. Neural Networks Learn. Syst.
Fuyuan Cao, Joshua Zhexue Huang, Jiye Liang, Xingwang Zhao, Yinfeng Meng, Kai Feng, Yuhua Qian
2018 J jnl
On distances in vertex-weighted trees.
Appl. Math. Comput.
Qingqiong Cai, Fuyuan Cao, Tao Li, Hua Wang
2017 J jnl
A fuzzy SV-k-modes algorithm for clustering categorical data with set-valued attributes.
Appl. Math. Comput.
Fuyuan Cao, Joshua Zhexue Huang, Jiye Liang
2017 J jnl
k-mw-modes: An algorithm for clustering categorical matrix-object data.
Appl. Soft Comput.
Fuyuan Cao, Liqin Yu, Joshua Zhexue Huang, Jiye Liang
2014 J jnl
A simple and effective outlier detection algorithm for categorical data.
Int. J. Mach. Learn. Cybern.
Xingwang Zhao, Jiye Liang, Fuyuan Cao
2014 J jnl
Trend analysis of categorical data streams with a concept change method.
Inf. Sci.
Fuyuan Cao, Joshua Zhexue Huang, Jiye Liang
2013 — conf
A Concept-Drifting Detection Algorithm for Categorical Evolving Data.
PAKDD (2)
Fuyuan Cao, Joshua Zhexue Huang
2013 — conf
A cross cluster-based collaborative filtering method for recommendation.
ICIA
Ming Gao, Fuyuan Cao, Joshua Zhexue Huang
2013 J jnl
A novel fuzzy clustering algorithm with between-cluster information for categorical data.
Fuzzy Sets Syst.
Liang Bai, Jiye Liang, Chuangyin Dang, Fuyuan Cao
2013 J jnl
A weighting k-modes algorithm for subspace clustering of categorical data.
Neurocomputing
Fuyuan Cao, Jiye Liang, Deyu Li, Xingwang Zhao
2013 J jnl
The Impact of Cluster Representatives on the Convergence of the (K)-Modes Type Clustering.
IEEE Trans. Pattern Anal. Mach. Intell.
Liang Bai, Jiye Liang, Chuangyin Dang, Fuyuan Cao
2012 J jnl
A cluster centers initialization method for clustering categorical data.
Expert Syst. Appl.
Liang Bai, Jiye Liang, Chuangyin Dang, Fuyuan Cao
2012 J jnl
A dissimilarity measure for the k-Modes clustering algorithm.
Knowl. Based Syst.
Fuyuan Cao, Jiye Liang, Deyu Li, Liang Bai, Chuangyin Dang
2012 J jnl
Determining the number of clusters using information entropy for mixed data.
Pattern Recognit.
Jiye Liang, Xingwang Zhao, Deyu Li, Fuyuan Cao, Chuangyin Dang
2012 J jnl
The K -Means-Type Algorithms Versus Imbalanced Data Distributions.
IEEE Trans. Fuzzy Syst.
Jiye Liang, Liang Bai, Chuangyin Dang, Fuyuan Cao
2011 J jnl
A data labeling method for clustering categorical data.
Expert Syst. Appl.
Fuyuan Cao, Jiye Liang
2011 J jnl
A novel attribute weighting algorithm for clustering high-dimensional categorical data.
Pattern Recognit.
Liang Bai, Jiye Liang, Chuangyin Dang, Fuyuan Cao
2010 J jnl
A Framework for Clustering Categorical Time-Evolving Data.
IEEE Trans. Fuzzy Syst.
Fuyuan Cao, Jiye Liang, Liang Bai, Xingwang Zhao, Chuangyin Dang
2009 J jnl
A new initialization method for categorical data clustering.
Expert Syst. Appl.
Fuyuan Cao, Jiye Liang, Liang Bai
2009 J jnl
An initialization method for the K-Means algorithm using neighborhood model.
Comput. Math. Appl.
Fuyuan Cao, Jiye Liang, Guang Jiang