Jun Wang

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 106

Top Venues

CoRR

IEEE ACM Trans. Comput. Biol. Bioinform.

ICDM

BIBM

Publications

Cong Su, Guoxian Yu, Yongqing Zheng, Jun Wang, Zhengtian Wu, Xiangliang Zhang, Carlotta Domeniconi
Causality-Based Fair Multiple Decision by Response Functions. ACM Trans. Knowl. Discov. Data 18 (3) (2024)
Jiaxuan Liang, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang, Maozu Guo
Gradient-Based Local Causal Structure Learning. IEEE Trans. Cybern. 54 (1) (2024)
Yunfeng Zhao, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Maozu Guo, Xiangliang Zhang, Lizhen Cui
Personalized Federated Few-Shot Learning. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
Cong Su, Guoxian Yu, Jun Wang, Hui Li, Qingzhong Li, Han Yu
Multi-Dimensional Fair Federated Learning. AAAI (2024)
Guoxian Yu, Liangrui Ren, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
Multiple clusterings: Recent advances and perspectives. Comput. Sci. Rev. 52 (2024)
Jiaxuan Liang, Jun Wang, Guoxian Yu, Shuyin Xia, Guoyin Wang
Multi-Granularity Causal Structure Learning. AAAI (2024)
Dezhi Yang, Xintong He, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Jinglin Zhang
Federated Causality Learning with Explainable Adaptive Optimization. AAAI (2024)
Liangrui Ren, Jun Wang, Zhao Li, Qingzhong Li, Guoxian Yu
scMCs: a framework for single-cell multi-omics data integration and multiple clusterings. Bioinform. 39 (4) (2023)
Jun Wang, Xi Chen, Zhengtian Wu, Maozu Guo, Guoxian Yu
Cooperative driver pathways discovery by multiplex network embedding. Briefings Bioinform. 24 (3) (2023)
Zimo Huang, Jun Wang, Xudong Lu, Azlan Mohd Zain, Guoxian Yu
scGGAN: single-cell RNA-seq imputation by graph-based generative adversarial network. Briefings Bioinform. 24 (2) (2023)
Liang-Rui Ren, Guoxian Yu, Jun Wang, Lei Liu, Carlotta Domeniconi, Xiangliang Zhang
A Diversified Attention Model for Interpretable Multiple Clusterings. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
Dezhi Yang, Guoxian Yu, Jun Wang, Zhongmin Yan, Maozu Guo
Causal Discovery by Graph Attention Reinforcement Learning. SDM (2023)
Jiaxuan Liang, Jun Wang, Guoxian Yu, Wei Guo, Carlotta Domeniconi, Maozu Guo
Directed Acyclic Graph Learning on Attributed Heterogeneous Network. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Sichao Qiu, Mengyi Wang, Yuanlin Yang, Guoxian Yu, Jun Wang, Zhongmin Yan, Carlotta Domeniconi, Maozu Guo
Meta Multi-Instance Multi-Label learning by heterogeneous network fusion. Inf. Fusion 94 (2023)
Xingze Wang, Guoxian Yu, Jun Wang, Azlan Mohd Zain, Wei Guo
Lung cancer subtype diagnosis using weakly-paired multi-omics data. Bioinform. 38 (22) (2022)
Xiangping Kang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Wei Guo, Yazhou Ren, Xiayan Zhang, Lizhen Cui
Self-paced annotations of crowd workers. Knowl. Inf. Syst. 64 (12) (2022)
Haojiang Tan, Jun Wang, Guoxian Yu, Wei Guo, Maozu Guo
Phenotype Prediction by Heterogeneous Molecular Network Embedding. BIBM (2022)
Jun Wang, Huiling Zhang, Wei Ren, Maozu Guo, Guoxian Yu
EpiMC: Detecting Epistatic Interactions Using Multiple Clusterings. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (1) (2022)
Guoxian Yu, Xuanwu Liu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
Flexible Cross-Modal Hashing. IEEE Trans. Neural Networks Learn. Syst. 33 (1) (2022)
Guoxian Yu, Qiuyue Huang, Xiangliang Zhang, Maozu Guo, Jun Wang
Tissue Specificity Based Isoform Function Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (5) (2022)
Guoxian Yu, Yuying Xing, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
Multiview Multi-Instance Multilabel Active Learning. IEEE Trans. Neural Networks Learn. Syst. 33 (9) (2022)
Guoxian Yu, Yeqian Yang, Yangyang Yan, Maozu Guo, Xiangliang Zhang, Jun Wang
DeepIDA: Predicting Isoform-Disease Associations by Data Fusion and Deep Neural Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (4) (2022)
Xuanwu Liu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Guoqiang Xiao, Maozu Guo
Weakly Supervised Cross-Modal Hashing. IEEE Trans. Big Data 8 (2) (2022)
Xin Wang, Xia Cao, Yuantao Feng, Maozu Guo, Guoxian Yu, Jun Wang
ELSSI: parallel SNP-SNP interactions detection by ensemble multi-type detectors. Briefings Bioinform. 23 (4) (2022)
Jun Wang, Long Zhang, An Zeng, Dawen Xia, Jiantao Yu, Guoxian Yu
DeepIII: Predicting Isoform-Isoform Interactions by Deep Neural Networks and Data Fusion. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (4) (2022)
Guoxian Yu, Xia Chen, Carlotta Domeniconi, Jun Wang, Zhao Li, Zili Zhang, Xiangliang Zhang
CMAL: Cost-Effective Multi-Label Active Learning by Querying Subexamples. IEEE Trans. Knowl. Data Eng. 34 (5) (2022)
Qiaoyu Tan, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
Individuality- and Commonality-Based Multiview Multilabel Learning. IEEE Trans. Cybern. 51 (3) (2021)
Guoxian Yu, Jie Zeng, Jun Wang, Hong Zhang, Xiangliang Zhang, Maozu Guo
Imbalance deep multi-instance learning for predicting isoform-isoform interactions. Int. J. Intell. Syst. 36 (6) (2021)
Jinzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Maozu Guo, Xiangliang Zhang
CrowdWT: Crowdsourcing via Joint Modeling of Workers and Tasks. ACM Trans. Knowl. Discov. Data 15 (1) (2021)
Shaowei Wei, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
Multiple clusterings of heterogeneous information networks. Mach. Learn. 110 (6) (2021)
Jun Wang, Xing Wang, Guoxian Yu, Carlotta Domeniconi, Zhiwen Yu, Zili Zhang
Discovering Multiple Co-Clusterings With Matrix Factorization. IEEE Trans. Cybern. 51 (7) (2021)
Ziying Yang, Guoxian Yu, Maozu Guo, Jiantao Yu, Xiangliang Zhang, Jun Wang
CDPath: Cooperative Driver Pathways Discovery Using Integer Linear Programming and Markov Clustering. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (4) (2021)
Jun Wang, Ziying Yang, Carlotta Domeniconi, Xiangliang Zhang, Guoxian Yu
Cooperative driver pathway discovery via fusion of multi-relational data of genes, miRNAs and pathways. Briefings Bioinform. 22 (2) (2021)
Yingwen Zhao, Jun Wang, Maozu Guo, Xiangliang Zhang, Guoxian Yu
Cross-Species Protein Function Prediction with Asynchronous-Random Walk. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (4) (2021)
Xianxue Yu, Guoxian Yu, Jun Wang, Carlotta Domeniconi
Co-Clustering Ensembles Based on Multiple Relevance Measures. IEEE Trans. Knowl. Data Eng. 33 (4) (2021)
Qiuyue Huang, Jun Wang, Xiangliang Zhang, Maozu Guo, Guoxian Yu
IsoDA: Isoform-Disease Association Prediction by Multiomics Data Fusion. J. Comput. Biol. 28 (8) (2021)
Guoxian Yu, Jinzheng Tu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
Active Multilabel Crowd Consensus. IEEE Trans. Neural Networks Learn. Syst. 32 (4) (2021)
Jinzheng Tu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Guoqiang Xiao, Maozu Guo
Multi-label crowd consensus via joint matrix factorization. Knowl. Inf. Syst. 62 (4) (2020)
Tingting Yu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
Partial Multi-label Learning using Label Compression. ICDM (2020)
Lin Jiang, Guoxian Yu, Maozu Guo, Jun Wang
Feature selection with missing labels based on label compression and local feature correlation. Neurocomputing 395 (2020)
Guoxian Yu, Keyao Wang, Guangyuan Fu, Maozu Guo, Jun Wang
NMFGO: Gene Function Prediction via Nonnegative Matrix Factorization with Gene Ontology. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (1) (2020)
Yuanlin Yang, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
Multi-typed Objects Multi-view Multi-instance Multi-label Learning. CoRR (2020)
Shaowei Wei, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang
Multi-View Multiple Clusterings Using Deep Matrix Factorization. AAAI (2020)
Shaowei Wei, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang
Deep Incomplete Multi-View Multiple Clusterings. CoRR (2020)
Huiling Zhang, Jun Wang, Guoxian Yu, Lizhen Cui, Maozu Guo
Epistasis Detection using Heterogeneous Bio-molecular Network. BIBM (2020)
Huiling Zhang, Guoxian Yu, Wei Ren, Maozu Guo, Jun Wang
EpIntMC: Detecting Epistatic Interactions Using Multiple Clusterings. ISBRA (2020)
Tingting Yu, Guoxian Yu, Jun Wang, Maozu Guo
Partial Multi-label Learning with Label and Feature Collaboration. CoRR (2020)
Guangjie Zhou, Jun Wang, Xiangliang Zhang, Maozu Guo, Guoxian Yu
Predicting functions of maize proteins using graph convolutional network. BMC Bioinform. (16) (2020)
Guangyang Han, Jinzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi
Crowdsourcing with Multiple-Source Knowledge Transfer. IJCAI (2020)
Yuanlin Yang, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
Multi-typed Objects Multi-view Multi-instance Multi-label Learning. ICDM (2020)
Guoxian Yu, Yuehui Wang, Jun Wang, Carlotta Domeniconi, Maozu Guo, Xiangliang Zhang
Attributed heterogeneous network fusion via collaborative matrix tri-factorization. Inf. Fusion 63 (2020)
Keyao Wang, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang, Guoxian Yu
Differentiating isoform functions with collaborative matrix factorization. Bioinform. 36 (6) (2020)
Sufang Li, Jun Wang, Maozu Guo, Xiangliang Zhang
Cooperative Driver Pathway Discovery by Hierarchical Clustering and Link Prediction. BIBM (2020)
Qiuyue Huang, Jun Wang, Xiangliang Zhang, Guoxian Yu
Isoform-Disease Association Prediction by Data Fusion. ISBRA (2020)
Yuying Xing, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
Weakly-Supervised Multi-view Multi-instance Multi-label Learning. IJCAI (2020)
Jingzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
Attention-Aware Answers of the Crowd. SDM (2020)
Guoxian Yu, Keyao Wang, Carlotta Domeniconi, Maozu Guo, Jun Wang
Isoform function prediction based on bi-random walks on a heterogeneous network. Bioinform. 36 (1) (2020)
Shaowei Wei, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang
Deep Incomplete Multi-View Multiple Clusterings. ICDM (2020)
Tingting Yu, Guoxian Yu, Jun Wang, Maozu Guo
Partial Multi-label Learning with Label and Feature Collaboration. DASFAA (1) (2020)
Xing Wang, Jun Wang, Carlotta Domeniconi, Guoxian Yu, Guoqiang Xiao, Maozu Guo
Multiple Independent Subspace Clusterings. CoRR (2019)
Xing Wang, Jun Wang, Carlotta Domeniconi, Guoxian Yu, Guoqiang Xiao, Maozu Guo
Multiple Independent Subspace Clusterings. AAAI (2019)
Jingzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
Attention-Aware Answers of the Crowd. CoRR (2019)
Xuanwu Liu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Yazhou Ren, Maozu Guo
Ranking-based Deep Cross-modal Hashing. CoRR (2019)
Yuehui Wang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Xiangliang Zhang, Maozu Guo
Selective Matrix Factorization for Multi-relational Data Fusion. DASFAA (1) (2019)
Jie Zeng, Guoxian Yu, Jun Wang, Maozu Guo, Xiangliang Zhang
DMIL-III: Isoform-isoform interaction prediction using deep multi-instance learning method. BIBM (2019)
Ziying Yang, Guoxian Yu, Maozu Guo, Jun Wang
CoDP: Cooperative Driver Pathways Discovery With Matrix Factorization and Tri-Random Walk. IEEE Access 7 (2019)
Yuying Xing, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang, Maozu Guo
Multi-View Multi-Instance Multi-Label Learning Based on Collaborative Matrix Factorization. AAAI (2019)
Ziying Yang, Guoxian Yu, Jiantao Yu, Maozu Guo, Jun Wang
CoPath: discovering cooperative driver pathways using greedy mutual exclusivity and bi-clustering. BIBM (2019)
Shixin Yao, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
Multi-View Multiple Clustering. CoRR (2019)
Xuanwu Liu, Zhao Li, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang
Cross-modal Zero-shot Hashing. CoRR (2019)
Yuying Xing, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang, Maozu Guo
Multi-View Multi-Instance Multi-Label Learning based on Collaborative Matrix Factorization. CoRR (2019)
Xuanwu Liu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Yazhou Ren, Maozu Guo
Ranking-Based Deep Cross-Modal Hashing. AAAI (2019)
Xia Chen, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Zhao Li, Xiangliang Zhang
ActiveHNE: Active Heterogeneous Network Embedding. CoRR (2019)
Shaowei Wei, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang
Multi-View Multiple Clusterings using Deep Matrix Factorization. CoRR (2019)
Shixin Yao, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
Multi-View Multiple Clustering. IJCAI (2019)
Guangjie Zhou, Jun Wang, Xiangliang Zhang, Guoxian Yu
DeepGOA: Predicting Gene Ontology Annotations of Proteins via Graph Convolutional Network. BIBM (2019)
Shixin Yao, Guoxian Yu, Xing Wang, Jun Wang, Carlotta Domeniconi, Maozu Guo
Discovering Multiple Co-Clusterings in Subspaces. SDM (2019)
Long Zhang, Guoxian Yu, Dawen Xia, Jun Wang
Protein-protein interactions prediction based on ensemble deep neural networks. Neurocomputing 324 (2019)
Xuanwu Liu, Zhao Li, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang
Cross-Modal Zero-Shot Hashing. ICDM (2019)
Xuanwu Liu, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang
Weakly-paired Cross-Modal Hashing. CoRR (2019)
Xia Chen, Guoxian Yu, Qiaoyu Tan, Jun Wang
Weighted samples based semi-supervised classification. Appl. Soft Comput. 79 (2019)
Xia Chen, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Zhao Li, Xiangliang Zhang
ActiveHNE: Active Heterogeneous Network Embedding. IJCAI (2019)
Jinzheng Tu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Xiangliang Zhang
Active Multi-Label Crowd Consensus. CoRR (2019)
Jinzheng Tu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Guoqiang Xiao, Maozu Guo
Multi-label Answer Aggregation Based on Joint Matrix Factorization. ICDM (2018)
Qiaoyu Tan, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang
Multi-view Weak-label Learning based on Matrix Completion. SDM (2018)
Guoxian Yu, Yuan Jiang, Jun Wang, Hao Zhang, Haiwei Luo
BMC3C: binning metagenomic contigs using codon usage, sequence composition and read coverage. Bioinform. 34 (24) (2018)
Guangyuan Fu, Jun Wang, Carlotta Domeniconi, Guoxian Yu
Matrix factorization-based data fusion for the prediction of lncRNA-disease associations. Bioinform. 34 (9) (2018)
Guoxian Yu, Xia Chen, Carlotta Domeniconi, Jun Wang, Zhao Li, Zili Zhang, Xindong Wu
Feature-Induced Partial Multi-label Learning. ICDM (2018)
Guoxian Yu, Yuehui Wang, Jun Wang, Guangyuan Fu, Maozu Guo, Carlotta Domeniconi
Weighted matrix factorization based data fusion for predicting lncRNA-disease associations. BIBM (2018)
Yuying Xing, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang
Multi-Label Co-Training. IJCAI (2018)
Xia Chen, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zhao Li, Zili Zhang
Cost Effective Multi-label Active Learning via Querying Subexamples. ICDM (2018)
Xia Chen, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang
Matrix Factorization for Identifying Noisy Labels of Multi-label Instances. PRICAI (2018)
Xing Wang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zhiwen Yu, Zili Zhang
Multiple Co-clusterings. ICDM (2018)
Qiaoyu Tan, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang
Incomplete Multi-View Weak-Label Learning. IJCAI (2018)
Guoxian Yu, Guangyuan Fu, Jun Wang, Yingwen Zhao
NewGOA: Predicting New GO Annotations of Proteins by Bi-Random Walks on a Hybrid Graph. IEEE ACM Trans. Comput. Biol. Bioinform. 15 (4) (2018)
Long Zhang, Guoxian Yu, Maozu Guo, Jun Wang
Predicting protein-protein interactions using high-quality non-interacting pairs. BMC Bioinform. (19) (2018)
Guoxian Yu, Chang Lu, Jun Wang
NoGOA: predicting noisy GO annotations using evidences and sparse representation. BMC Bioinform. 18 (1) (2017)
Qiaoyu Tan, Yanming Yu, Guoxian Yu, Jun Wang
Semi-supervised multi-label classification using incomplete label information. Neurocomputing 260 (2017)
Guoxian Yu, Yingwen Zhao, Chang Lu, Jun Wang
HashGO: hashing gene ontology for protein function prediction. Comput. Biol. Chem. 71 (2017)
Yanming Yu, Jun Wang, Qiaoyu Tan, Lianyin Jia, Guoxian Yu
Semi-Supervised Multi-Label Dimensionality Reduction Based on Dependence Maximization. IEEE Access 5 (2017)

Jun Wang.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Jun Wang