TagSNPs Selection Using Maximum Density Subgraph. - Jun Wang 035; Maozu Guo 001; Juan Chen; Yang Liu 006 (ICNC (5), 2008)

CGTS: a site-clustering graph based tagSNP selection algorithm in genotype data. - Jun Wang 035; Maozu Guo 001; Chunyu Wang 002 (BMC Bioinform., 2009)

A hybrid clustering and graph based algorithm for tagSNP selection. - Maozu Guo 001; Jun Wang 035; Chunyu Wang 002; Yang Liu 006 (Soft Comput., 2009)

A graph and hierarchical clustering based approach for population structure inference. - Jun Wang 035; Maozu Guo 001 (BCB, 2010)

Two-stage clustering based effective sample selection for classification of pre-miRNAs. - Ping Xuan; Maozu Guo 001; Lei-lei Shi; Jun Wang 035; Xiaoyan Liu; Wenbin Li; Yingpeng Han (BIBM, 2010)

SNPs and entropy based hierarchical clustering method for genetic phylogeny analysis. - Jun Wang 035; Maozu Guo 001 (FSKD, 2010)

Semi-Supervised Classification Based on Low Rank Representation. - Xuan Hou; Guangjun Yao; Jun Wang 035 (Algorithms, 2016)

NegGOA: negative GO annotations selection using ontology structure. - Guangyuan Fu; Jun Wang 035; Bo Yang; Guo-Xian Yu (Bioinform., 2016)

Interspecies gene function prediction using semantic similarity. - Guo-Xian Yu; Wei Luo; Guangyuan Fu; Jun Wang 035 (BMC Syst. Biol., 2016)

NoisyGOA: Noisy GO annotations prediction using taxonomic and semantic similarity. - Chang Lu; Jun Wang 035; Zili Zhang 001; Pengyi Yang; Guo-Xian Yu (Comput. Biol. Chem., 2016)

Predicting Protein Function via Semantic Integration of Multiple Networks. - Guo-Xian Yu; Guangyuan Fu; Jun Wang 035; Hailong Zhu (IEEE ACM Trans. Comput. Biol. Bioinform., 2016)

Semi-Supervised Multi-Label Dimensionality Reduction Based on Dependence Maximization. - Yanming Yu; Jun Wang 035; Qiaoyu Tan; Lianyin Jia; Guoxian Yu (IEEE Access, 2017)

Semi-supervised classification by discriminative regularization. - Jun Wang 035; Guangjun Yao; Guoxian Yu (Appl. Soft Comput., 2017)

NoGOA: predicting noisy GO annotations using evidences and sparse representation. - Guoxian Yu; Chang Lu; Jun Wang 035 (BMC Bioinform., 2017)

HashGO: hashing gene ontology for protein function prediction. - Guoxian Yu; Yingwen Zhao; Chang Lu; Jun Wang 035 (Comput. Biol. Chem., 2017)

Semi-supervised multi-label classification using incomplete label information. - Qiaoyu Tan; Yanming Yu; Guoxian Yu; Jun Wang 035 (Neurocomputing, 2017)

Weighted matrix factorization based data fusion for predicting lncRNA-disease associations. - Guoxian Yu; Yuehui Wang; Jun Wang 035; Guangyuan Fu; Maozu Guo 001; Carlotta Domeniconi (BIBM, 2018)

Cost Effective Multi-label Active Learning via Querying Subexamples. - Xia Chen 004; Guoxian Yu; Carlotta Domeniconi; Jun Wang 035; Zhao Li 007; Zili Zhang 001 (ICDM, 2018)

Multi-label Answer Aggregation Based on Joint Matrix Factorization. - Jinzheng Tu 002; Guoxian Yu; Carlotta Domeniconi; Jun Wang 035; Guoqiang Xiao 001; Maozu Guo 001 (ICDM, 2018)

Multiple Co-clusterings. - Xing Wang; Guoxian Yu; Carlotta Domeniconi; Jun Wang 035; Zhiwen Yu 002; Zili Zhang 001 (ICDM, 2018)

Feature-Induced Partial Multi-label Learning. - Guoxian Yu; Xia Chen 004; Carlotta Domeniconi; Jun Wang 035; Zhao Li 007; Zili Zhang 001; Xindong Wu 001 (ICDM, 2018)

Incomplete Multi-View Weak-Label Learning. - Qiaoyu Tan; Guoxian Yu; Carlotta Domeniconi; Jun Wang 035; Zili Zhang 001 (IJCAI, 2018)

Multi-Label Co-Training. - Yuying Xing; Guoxian Yu; Carlotta Domeniconi; Jun Wang 035; Zili Zhang 001 (IJCAI, 2018)

Matrix Factorization for Identifying Noisy Labels of Multi-label Instances. - Xia Chen 004; Guoxian Yu; Carlotta Domeniconi; Jun Wang 035; Zili Zhang 001 (PRICAI, 2018)

Multi-view Weak-label Learning based on Matrix Completion. - Qiaoyu Tan; Guoxian Yu; Carlotta Domeniconi; Jun Wang 035; Zili Zhang 001 (SDM, 2018)

Matrix factorization-based data fusion for the prediction of lncRNA-disease associations. - Guangyuan Fu; Jun Wang 035; Carlotta Domeniconi; Guoxian Yu (Bioinform., 2018)

BMC3C: binning metagenomic contigs using codon usage, sequence composition and read coverage. - Guoxian Yu; Yuan Jiang 004; Jun Wang 035; Hao Zhang; Haiwei Luo (Bioinform., 2018)

Predicting protein-protein interactions using high-quality non-interacting pairs. - Long Zhang; Guoxian Yu; Maozu Guo 001; Jun Wang 035 (BMC Bioinform., 2018)

NewGOA: Predicting New GO Annotations of Proteins by Bi-Random Walks on a Hybrid Graph. - Guoxian Yu; Guangyuan Fu; Jun Wang 035; Yingwen Zhao (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Ranking-Based Deep Cross-Modal Hashing. - Xuanwu Liu; Guoxian Yu; Carlotta Domeniconi; Jun Wang 035; Yazhou Ren 001; Maozu Guo 001 (AAAI, 2019)

Multiple Independent Subspace Clusterings. - Xing Wang; Jun Wang 035; Carlotta Domeniconi; Guoxian Yu; Guoqiang Xiao 001; Maozu Guo 001 (AAAI, 2019)

Multi-View Multi-Instance Multi-Label Learning Based on Collaborative Matrix Factorization. - Yuying Xing; Guoxian Yu; Carlotta Domeniconi; Jun Wang 035; Zili Zhang 001; Maozu Guo 001 (AAAI, 2019)

CoPath: discovering cooperative driver pathways using greedy mutual exclusivity and bi-clustering. - Ziying Yang; Guoxian Yu; Jiantao Yu; Maozu Guo 001; Jun Wang 035 (BIBM, 2019)

DMIL-III: Isoform-isoform interaction prediction using deep multi-instance learning method. - Jie Zeng; Guoxian Yu; Jun Wang 035; Maozu Guo 001; Xiangliang Zhang 001 (BIBM, 2019)

DeepGOA: Predicting Gene Ontology Annotations of Proteins via Graph Convolutional Network. - Guangjie Zhou; Jun Wang 035; Xiangliang Zhang 001; Guoxian Yu (BIBM, 2019)

Selective Matrix Factorization for Multi-relational Data Fusion. - Yuehui Wang; Guoxian Yu; Carlotta Domeniconi; Jun Wang 035; Xiangliang Zhang 001; Maozu Guo 001 (DASFAA (1), 2019)

Cross-Modal Zero-Shot Hashing. - Xuanwu Liu; Zhao Li 007; Jun Wang 035; Guoxian Yu; Carlotta Domeniconi; Xiangliang Zhang 001 (ICDM, 2019)

ActiveHNE: Active Heterogeneous Network Embedding. - Xia Chen 004; Guoxian Yu; Jun Wang 035; Carlotta Domeniconi; Zhao Li 007; Xiangliang Zhang 001 (IJCAI, 2019)

Multi-View Multiple Clustering. - Shixin Yao; Guoxian Yu; Jun Wang 035; Carlotta Domeniconi; Xiangliang Zhang 001 (IJCAI, 2019)

Discovering Multiple Co-Clusterings in Subspaces. - Shixin Yao; Guoxian Yu; Xing Wang; Jun Wang 035; Carlotta Domeniconi; Maozu Guo 001 (SDM, 2019)

CoDP: Cooperative Driver Pathways Discovery With Matrix Factorization and Tri-Random Walk. - Ziying Yang; Guoxian Yu; Maozu Guo 001; Jun Wang 035 (IEEE Access, 2019)

Laplacian Eigenmaps Dimensionality Reduction Based on Clustering-Adjusted Similarity. - Honghu Zhou; Jun Wang 035 (Algorithms, 2019)

Weighted samples based semi-supervised classification. - Xia Chen 004; Guoxian Yu; Qiaoyu Tan; Jun Wang 035 (Appl. Soft Comput., 2019)

Weakly-paired Cross-Modal Hashing. - Xuanwu Liu; Jun Wang 035; Guoxian Yu; Carlotta Domeniconi; Xiangliang Zhang 001 (CoRR, 2019)

Active Multi-Label Crowd Consensus. - Jinzheng Tu 002; Guoxian Yu; Carlotta Domeniconi; Jun Wang 035; Xiangliang Zhang 001 (CoRR, 2019)

Protein-protein interactions prediction based on ensemble deep neural networks. - Long Zhang; Guoxian Yu; Dawen Xia; Jun Wang 035 (Neurocomputing, 2019)

Multi-View Multiple Clusterings Using Deep Matrix Factorization. - Shaowei Wei; Jun Wang 035; Guoxian Yu; Carlotta Domeniconi; Xiangliang Zhang 001 (AAAI, 2020)

Cooperative Driver Pathway Discovery by Hierarchical Clustering and Link Prediction. - Sufang Li; Jun Wang 035; Maozu Guo 001; Xiangliang Zhang 001 (BIBM, 2020)

Epistasis Detection using Heterogeneous Bio-molecular Network. - Huiling Zhang; Jun Wang 035; Guoxian Yu; Lizhen Cui; Maozu Guo 001 (BIBM, 2020)

Partial Multi-label Learning with Label and Feature Collaboration. - Tingting Yu; Guoxian Yu; Jun Wang 035; Maozu Guo 001 (DASFAA (1), 2020)

Deep Incomplete Multi-View Multiple Clusterings. - Shaowei Wei; Jun Wang 035; Guoxian Yu; Carlotta Domeniconi; Xiangliang Zhang 001 (ICDM, 2020)

Multi-typed Objects Multi-view Multi-instance Multi-label Learning. - Yuanlin Yang 001; Guoxian Yu; Jun Wang 035; Carlotta Domeniconi; Xiangliang Zhang 001 (ICDM, 2020)

Partial Multi-label Learning using Label Compression. - Tingting Yu; Guoxian Yu; Jun Wang 035; Carlotta Domeniconi; Xiangliang Zhang 001 (ICDM, 2020)

Crowdsourcing with Multiple-Source Knowledge Transfer. - Guangyang Han; Jinzheng Tu 002; Guoxian Yu; Jun Wang 035; Carlotta Domeniconi (IJCAI, 2020)

Weakly-Supervised Multi-view Multi-instance Multi-label Learning. - Yuying Xing; Guoxian Yu; Jun Wang 035; Carlotta Domeniconi; Xiangliang Zhang 001 (IJCAI, 2020)

Isoform-Disease Association Prediction by Data Fusion. - Qiuyue Huang; Jun Wang 035; Xiangliang Zhang 001; Guoxian Yu (ISBRA, 2020)

EpIntMC: Detecting Epistatic Interactions Using Multiple Clusterings. - Huiling Zhang; Guoxian Yu; Wei Ren; Maozu Guo 001; Jun Wang 035 (ISBRA, 2020)

Attention-Aware Answers of the Crowd. - Jingzheng Tu; Guoxian Yu; Jun Wang 035; Carlotta Domeniconi; Xiangliang Zhang 001 (SDM, 2020)

Differentiating isoform functions with collaborative matrix factorization. - Keyao Wang; Jun Wang 035; Carlotta Domeniconi; Xiangliang Zhang 001; Guoxian Yu (Bioinform., 2020)

Isoform function prediction based on bi-random walks on a heterogeneous network. - Guoxian Yu; Keyao Wang; Carlotta Domeniconi; Maozu Guo 001; Jun Wang 035 (Bioinform., 2020)

Predicting functions of maize proteins using graph convolutional network. - Guangjie Zhou; Jun Wang 035; Xiangliang Zhang 001; Maozu Guo 001; Guoxian Yu (BMC Bioinform., 2020)

Feature selection with missing labels based on label compression and local feature correlation. - Lin Jiang; Guoxian Yu; Maozu Guo 001; Jun Wang 035 (Neurocomputing, 2020)

Attributed heterogeneous network fusion via collaborative matrix tri-factorization. - Guoxian Yu; Yuehui Wang; Jun Wang 035; Carlotta Domeniconi; Maozu Guo 001; Xiangliang Zhang 001 (Inf. Fusion, 2020)

Multi-label crowd consensus via joint matrix factorization. - Jinzheng Tu 002; Guoxian Yu; Carlotta Domeniconi; Jun Wang 035; Guoqiang Xiao 001; Maozu Guo 001 (Knowl. Inf. Syst., 2020)

NMFGO: Gene Function Prediction via Nonnegative Matrix Factorization with Gene Ontology. - Guoxian Yu; Keyao Wang; Guangyuan Fu; Maozu Guo 001; Jun Wang 035 (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Genome-Phenome Association Prediction by Deep Factorizing Heterogeneous Molecular Network. - Haojiang Tan; Sichao Qiu; Jun Wang 035; Guoxian Yu; Wei Guo 017; Maozu Guo 001 (BIBM, 2021)

Maize Epistasis Detection by Multi-class Quantitative Multifactor Dimensionality Reduction. - Xin Wang; Jun Wang 035; Guoxian Yu; Beibei Xin; Maozu Guo 001 (BIBM, 2021)

Crowdsourcing with Self-paced Workers. - Xiangping Kang; Guoxian Yu; Carlotta Domeniconi; Jun Wang 035; Wei Guo 017; Yazhou Ren 001; Lizhen Cui (ICDM, 2021)

Cooperative driver pathway discovery via fusion of multi-relational data of genes, miRNAs and pathways. - Jun Wang 035; Ziying Yang; Carlotta Domeniconi; Xiangliang Zhang 001; Guoxian Yu (Briefings Bioinform., 2021)

MetaMIML: Meta Multi-Instance Multi-Label Learning. - Yuanlin Yang 001; Guoxian Yu; Jun Wang 035; Lei Liu 003; Carlotta Domeniconi; Maozu Guo 001 (CoRR, 2021)

Imbalance deep multi-instance learning for predicting isoform-isoform interactions. - Guoxian Yu; Jie Zeng; Jun Wang 035; Hong Zhang 030; Xiangliang Zhang 001; Maozu Guo 001 (Int. J. Intell. Syst., 2021)

IsoDA: Isoform-Disease Association Prediction by Multiomics Data Fusion. - Qiuyue Huang; Jun Wang 035; Xiangliang Zhang 001; Maozu Guo 001; Guoxian Yu (J. Comput. Biol., 2021)

Multiple clusterings of heterogeneous information networks. - Shaowei Wei; Guoxian Yu; Jun Wang 035; Carlotta Domeniconi; Xiangliang Zhang 001 (Mach. Learn., 2021)

CDPath: Cooperative Driver Pathways Discovery Using Integer Linear Programming and Markov Clustering. - Ziying Yang; Guoxian Yu; Maozu Guo 001; Jiantao Yu; Xiangliang Zhang 001; Jun Wang 035 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Cross-Species Protein Function Prediction with Asynchronous-Random Walk. - Yingwen Zhao; Jun Wang 035; Maozu Guo 001; Xiangliang Zhang 001; Guoxian Yu (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Individuality- and Commonality-Based Multiview Multilabel Learning. - Qiaoyu Tan; Guoxian Yu; Jun Wang 035; Carlotta Domeniconi; Xiangliang Zhang 001 (IEEE Trans. Cybern., 2021)

Discovering Multiple Co-Clusterings With Matrix Factorization. - Jun Wang 035; Xing Wang; Guoxian Yu; Carlotta Domeniconi; Zhiwen Yu 002; Zili Zhang 001 (IEEE Trans. Cybern., 2021)

CrowdWT: Crowdsourcing via Joint Modeling of Workers and Tasks. - Jinzheng Tu 002; Guoxian Yu; Jun Wang 035; Carlotta Domeniconi; Maozu Guo 001; Xiangliang Zhang 001 (ACM Trans. Knowl. Discov. Data, 2021)

Co-Clustering Ensembles Based on Multiple Relevance Measures. - Xianxue Yu; Guoxian Yu; Jun Wang 035; Carlotta Domeniconi (IEEE Trans. Knowl. Data Eng., 2021)

Active Multilabel Crowd Consensus. - Guoxian Yu; Jinzheng Tu 002; Jun Wang 035; Carlotta Domeniconi; Xiangliang Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Phenotype Prediction by Heterogeneous Molecular Network Embedding. - Haojiang Tan; Jun Wang 035; Guoxian Yu; Wei Guo 017; Maozu Guo 001 (BIBM, 2022)

Differentially expressed genes prediction by multiple self-attention on epigenetics data. - Zimo Huang; Jun Wang 035; Zhongmin Yan; Maozu Guo 001 (Briefings Bioinform., 2022)

ELSSI: parallel SNP-SNP interactions detection by ensemble multi-type detectors. - Xin Wang; Xia Cao; Yuantao Feng; Maozu Guo 001; Guoxian Yu; Jun Wang 035 (Briefings Bioinform., 2022)

Self-paced annotations of crowd workers. - Xiangping Kang; Guoxian Yu; Carlotta Domeniconi; Jun Wang 035; Wei Guo 017; Yazhou Ren 001; Xiayan Zhang; Lizhen Cui (Knowl. Inf. Syst., 2022)

Weakly Supervised Cross-Modal Hashing. - Xuanwu Liu; Guoxian Yu; Carlotta Domeniconi; Jun Wang 035; Guoqiang Xiao 001; Maozu Guo 001 (IEEE Trans. Big Data, 2022)

EpiMC: Detecting Epistatic Interactions Using Multiple Clusterings. - Jun Wang 035; Huiling Zhang; Wei Ren; Maozu Guo 001; Guoxian Yu (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

DeepIII: Predicting Isoform-Isoform Interactions by Deep Neural Networks and Data Fusion. - Jun Wang 035; Long Zhang; An Zeng; Dawen Xia; Jiantao Yu; Guoxian Yu (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Tissue Specificity Based Isoform Function Prediction. - Guoxian Yu; Qiuyue Huang; Xiangliang Zhang 001; Maozu Guo 001; Jun Wang 035 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

DeepIDA: Predicting Isoform-Disease Associations by Data Fusion and Deep Neural Networks. - Guoxian Yu; Yeqian Yang; Yangyang Yan; Maozu Guo 001; Xiangliang Zhang 001; Jun Wang 035 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

CMAL: Cost-Effective Multi-Label Active Learning by Querying Subexamples. - Guoxian Yu; Xia Chen 004; Carlotta Domeniconi; Jun Wang 035; Zhao Li 007; Zili Zhang 001; Xiangliang Zhang 001 (IEEE Trans. Knowl. Data Eng., 2022)

Flexible Cross-Modal Hashing. - Guoxian Yu; Xuanwu Liu; Jun Wang 035; Carlotta Domeniconi; Xiangliang Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Multiview Multi-Instance Multilabel Active Learning. - Guoxian Yu; Yuying Xing; Jun Wang 035; Carlotta Domeniconi; Xiangliang Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Lung cancer subtype diagnosis using weakly-paired multi-omics data. - Xingze Wang; Guoxian Yu; Jun Wang 035; Azlan Mohd Zain; Wei Guo 017 (Bioinform., 2022)

Long-Tail Cross Modal Hashing. - Zijun Gao; Jun Wang 035; Guoxian Yu; Zhongmin Yan; Carlotta Domeniconi; Jinglin Zhang (AAAI, 2023)

Incentive-Boosted Federated Crowdsourcing. - Xiangping Kang; Guoxian Yu; Jun Wang 035; Wei Guo 017; Carlotta Domeniconi; Jinglin Zhang (AAAI, 2023)

Reinforcement Causal Structure Learning on Order Graph. - Dezhi Yang; Guoxian Yu; Jun Wang 035; Zhengtian Wu; Maozu Guo 001 (AAAI, 2023)

Causal Discovery by Graph Attention Reinforcement Learning. - Dezhi Yang; Guoxian Yu; Jun Wang 035; Zhongmin Yan; Maozu Guo 001 (SDM, 2023)

Differential Gene Expression Prediction by Ensemble Deep Networks on Histone Modification Data. - Zimo Huang; Jun Wang 035; Zhongmin Yan; Lin Wan; Maozu Guo 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

scGGAN: single-cell RNA-seq imputation by graph-based generative adversarial network. - Zimo Huang; Jun Wang 035; Xudong Lu; Azlan Mohd Zain; Guoxian Yu (Briefings Bioinform., 2023)

scMCs: a framework for single-cell multi-omics data integration and multiple clusterings. - Liangrui Ren; Jun Wang 035; Zhao Li 007; Qingzhong Li; Guoxian Yu (Bioinform., 2023)

Cooperative driver pathways discovery by multiplex network embedding. - Jun Wang 035; Xi Chen; Zhengtian Wu; Maozu Guo 001; Guoxian Yu (Briefings Bioinform., 2023)

Meta Multi-Instance Multi-Label learning by heterogeneous network fusion. - Sichao Qiu; Mengyi Wang; Yuanlin Yang 001; Guoxian Yu; Jun Wang 035; Zhongmin Yan; Carlotta Domeniconi; Maozu Guo 001 (Inf. Fusion, 2023)

A Diversified Attention Model for Interpretable Multiple Clusterings. - Liang-Rui Ren; Guoxian Yu; Jun Wang 035; Lei Liu 003; Carlotta Domeniconi; Xiangliang Zhang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Directed Acyclic Graph Learning on Attributed Heterogeneous Network. - Jiaxuan Liang; Jun Wang 035; Guoxian Yu; Wei Guo 017; Carlotta Domeniconi; Maozu Guo 001 (IEEE Trans. Knowl. Data Eng., 2023)

Multi-Granularity Causal Structure Learning. - Jiaxuan Liang; Jun Wang 035; Guoxian Yu; Shuyin Xia; Guoyin Wang 001 (AAAI, 2024)

Multi-Dimensional Fair Federated Learning. - Cong Su; Guoxian Yu; Jun Wang 035; Hui Li 048; Qingzhong Li; Han Yu 001 (AAAI, 2024)

Federated Causality Learning with Explainable Adaptive Optimization. - Dezhi Yang; Xintong He; Jun Wang 035; Guoxian Yu; Carlotta Domeniconi; Jinglin Zhang (AAAI, 2024)

Semi-Asynchronous Online Federated Crowdsourcing. - Xiangping Kang; Guoxian Yu; Qingzhong Li; Jun Wang 035; Hui Li 048; Carlotta Domeniconi (ICDE, 2024)

Multiple clusterings: Recent advances and perspectives. - Guoxian Yu; Liangrui Ren; Jun Wang 035; Carlotta Domeniconi; Xiangliang Zhang 001 (Comput. Sci. Rev., 2024)

Cancer molecular subtyping using limited multi-omics data with missingness. - Yongqi Bu; Jiaxuan Liang; Zhen Li; Jianbo Wang; Jun Wang 035; Guoxian Yu (PLoS Comput. Biol., 2024)

Gradient-Based Local Causal Structure Learning. - Jiaxuan Liang; Jun Wang 035; Guoxian Yu; Carlotta Domeniconi; Xiangliang Zhang 001; Maozu Guo 001 (IEEE Trans. Cybern., 2024)

Personalized Federated Few-Shot Learning. - Yunfeng Zhao; Guoxian Yu; Jun Wang 035; Carlotta Domeniconi; Maozu Guo 001; Xiangliang Zhang 001; Lizhen Cui (IEEE Trans. Neural Networks Learn. Syst., 2024)

Causality-Based Fair Multiple Decision by Response Functions. - Cong Su; Guoxian Yu; Yongqing Zheng; Jun Wang 035; Zhengtian Wu; Xiangliang Zhang 001; Carlotta Domeniconi (ACM Trans. Knowl. Discov. Data, 2024)

Emergence-Inspired Multi-Granularity Causal Learning. - Hanwen Luo; Guoxian Yu; Jun Wang 035; Yanyu Xu; Yongqing Zheng; Qingzhong Li (AAAI, 2025)

Causal Discovery from Shifted Multiple Environments. - Dezhi Yang; Guoxian Yu; Jun Wang 035; Jinglin Zhang; Carlotta Domeniconi (KDD (1), 2025)

Personalized federated few-shot node classification. - Yunfeng Zhao; Xintong He; Guoxian Yu; Jun Wang 035; Yongqing Zheng; Carlotta Domeniconi (Sci. China Inf. Sci., 2025)

Herb-Target Interaction Prediction by Multiinstance Learning. - Yongzheng Zhu; Liangrui Ren; Rong Sun; Jun Wang 035; Guoxian Yu (IEEE Trans. Artif. Intell., 2025)

Multi-Dimensional Causality Fairness Learning. - Cong Su; Guoxian Yu; Jun Wang 035; Wei Guo 017; Yongqing Zheng; Carlotta Domeniconi (IEEE Trans. Knowl. Data Eng., 2025)

Interaction Privacy Vulnerability in Federated Recommendation and Lossless Countermeasure. - Xiaoqiang Gui; Guoxian Yu; Jun Wang 035; Shuguang Han; Qingzhong Li; Yongqing Zheng; Wei Wang 012 (ACM Trans. Inf. Syst., 2025)