Jun Wang

146 papers A* 32A 4B 1Journal 91Unranked 18
YearRankTypeTitle / Venue / Authors
2026 A* conf
Cancer Survival Prediction by Cyclic Generation and Multi-grained Alignment.
AAAI
Yongqi Bu, Qinggang Niu, Zhen Li, Yanyu Xu, Jun Wang, Guoxian Yu
2026 J jnl
Coarse-to-Fine Learning of Dynamic Causal Structures.
CoRR
Dezhi Yang, Qiaoyu Tan, Carlotta Domeniconi, Jun Wang, Li-Zhen Cui, Guoxian Yu
2026 A* conf
Counterfactual Fairness with Imperfect Causal Graphs.
AAAI
Cong Su, Qiaoyu Tan, Carlotta Domeniconi, Lizhen Cui, Jun Wang, Guoxian Yu
2026 J jnl
Federated Recommendation via Stochastic Aggregation and Consistency Inference.
ACM Trans. Inf. Syst.
Xiaoqiang Gui, Bowen Chen, Qiaoyu Tan, Jun Wang, Yongqing Zheng, Qingzhong Li, Li-Zhen Cui, Guoxian Yu
2026 A* conf
MLLM Enriched Explainable Multiple Clustering.
AAAI
Shan Zhang, Liangrui Ren, Qiaoyu Tan, Carlotta Domeniconi, Wei Du, Jun Wang, Guoxian Yu
2026 J jnl
ProteoformDB: an integrative database for functional roles of proteoforms.
Database J. Biol. Databases Curation
Hanwen Luo, Sichao Qiu, Maozu Guo, Beibei Xin, Jun Wang, Guoxian Yu
2025 J jnl
AN-IHP: Incompatible Herb Pairs Prediction by Attention Networks.
IEEE Trans. Comput. Biol. Bioinform.
Longfei Ma, Cong Su, Jun Wang, Xin Li, Rong Sun, Guoxian Yu
2025 A* conf
Aligning Contrastive Multiple Clusterings with User Interests.
IJCAI
Shan Zhang, Liangrui Ren, Jun Wang, Yanyu Xu, Carlotta Domeniconi, Guoxian Yu
2025 — conf
Causal Discovery from Shifted Multiple Environments.
KDD (1)
Dezhi Yang, Guoxian Yu, Jun Wang, Jinglin Zhang, Carlotta Domeniconi
2025 A* conf
Emergence-Inspired Multi-Granularity Causal Learning.
AAAI
Hanwen Luo, Guoxian Yu, Jun Wang, Yanyu Xu, Yongqing Zheng, Qingzhong Li
2025 J jnl
Herb-Target Interaction Prediction by Multiinstance Learning.
IEEE Trans. Artif. Intell.
Yongzheng Zhu, Liangrui Ren, Rong Sun, Jun Wang, Guoxian Yu
2025 A* conf
Imputation-free Incomplete Multi-view Clustering via Knowledge Distillation.
IJCAI
Benyu Wu, Wei Du, Jun Wang, Guoxian Yu
2025 J jnl
Interaction Privacy Vulnerability in Federated Recommendation and Lossless Countermeasure.
ACM Trans. Inf. Syst.
Xiaoqiang Gui, Guoxian Yu, Jun Wang, Shuguang Han, Qingzhong Li, Yongqing Zheng, Wei Wang
2025 J jnl
Multi-Dimensional Causality Fairness Learning.
IEEE Trans. Knowl. Data Eng.
Cong Su, Guoxian Yu, Jun Wang, Wei Guo, Yongqing Zheng, Carlotta Domeniconi
2025 J jnl
Personalized federated few-shot node classification.
Sci. China Inf. Sci.
Yunfeng Zhao, Xintong He, Guoxian Yu, Jun Wang, Yongqing Zheng, Carlotta Domeniconi
2025 J jnl
Sophon: Byzantine-Robust Federated Learning via Dual Trust Mechanism.
IEEE Trans. Dependable Secur. Comput.
Xiaoqiang Gui, Guoxian Yu, Jun Wang, Zhongmin Yan, Wei Wang, Carlotta Domeniconi, Lizhen Cui
2024 J jnl
Cancer molecular subtyping using limited multi-omics data with missingness.
PLoS Comput. Biol.
Yongqi Bu, Jiaxuan Liang, Zhen Li, Jianbo Wang, Jun Wang, Guoxian Yu
2024 J jnl
Causality-Based Fair Multiple Decision by Response Functions.
ACM Trans. Knowl. Discov. Data
Cong Su, Guoxian Yu, Yongqing Zheng, Jun Wang, Zhengtian Wu, Xiangliang Zhang, Carlotta Domeniconi
2024 A* conf
Federated Causality Learning with Explainable Adaptive Optimization.
AAAI
Dezhi Yang, Xintong He, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Jinglin Zhang
2024 J jnl
Gradient-Based Local Causal Structure Learning.
IEEE Trans. Cybern.
Jiaxuan Liang, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang, Maozu Guo
2024 A* conf
Multi-Dimensional Fair Federated Learning.
AAAI
Cong Su, Guoxian Yu, Jun Wang, Hui Li, Qingzhong Li, Han Yu
2024 A* conf
Multi-Granularity Causal Structure Learning.
AAAI
Jiaxuan Liang, Jun Wang, Guoxian Yu, Shuyin Xia, Guoyin Wang
2024 J jnl
Multiple clusterings: Recent advances and perspectives.
Comput. Sci. Rev.
Guoxian Yu, Liangrui Ren, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
2024 J jnl
Personalized Federated Few-Shot Learning.
IEEE Trans. Neural Networks Learn. Syst.
Yunfeng Zhao, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Maozu Guo, Xiangliang Zhang, Lizhen Cui
2024 A* conf
Semi-Asynchronous Online Federated Crowdsourcing.
ICDE
Xiangping Kang, Guoxian Yu, Qingzhong Li, Jun Wang, Hui Li, Carlotta Domeniconi
2023 J jnl
A Diversified Attention Model for Interpretable Multiple Clusterings.
IEEE Trans. Knowl. Data Eng.
Liang-Rui Ren, Guoxian Yu, Jun Wang, Lei Liu, Carlotta Domeniconi, Xiangliang Zhang
2023 A conf
Causal Discovery by Graph Attention Reinforcement Learning.
SDM
Dezhi Yang, Guoxian Yu, Jun Wang, Zhongmin Yan, Maozu Guo
2023 J jnl
Cooperative driver pathways discovery by multiplex network embedding.
Briefings Bioinform.
Jun Wang, Xi Chen, Zhengtian Wu, Maozu Guo, Guoxian Yu
2023 J jnl
Differential Gene Expression Prediction by Ensemble Deep Networks on Histone Modification Data.
IEEE ACM Trans. Comput. Biol. Bioinform.
Zimo Huang, Jun Wang, Zhongmin Yan, Lin Wan, Maozu Guo
2023 J jnl
Directed Acyclic Graph Learning on Attributed Heterogeneous Network.
IEEE Trans. Knowl. Data Eng.
Jiaxuan Liang, Jun Wang, Guoxian Yu, Wei Guo, Carlotta Domeniconi, Maozu Guo
2023 J jnl
Federated Causality Learning with Explainable Adaptive Optimization.
CoRR
Dezhi Yang, Xintong He, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Jinglin Zhang
2023 A* conf
Incentive-Boosted Federated Crowdsourcing.
AAAI
Xiangping Kang, Guoxian Yu, Jun Wang, Wei Guo, Carlotta Domeniconi, Jinglin Zhang
2023 A* conf
Long-Tail Cross Modal Hashing.
AAAI
Zijun Gao, Jun Wang, Guoxian Yu, Zhongmin Yan, Carlotta Domeniconi, Jinglin Zhang
2023 J jnl
Meta Multi-Instance Multi-Label learning by heterogeneous network fusion.
Inf. Fusion
Sichao Qiu, Mengyi Wang, Yuanlin Yang, Guoxian Yu, Jun Wang, Zhongmin Yan, Carlotta Domeniconi, Maozu Guo
2023 J jnl
Multi-dimensional Fair Federated Learning.
CoRR
Cong Su, Guoxian Yu, Jun Wang, Hui Li, Qingzhong Li, Han Yu
2023 J jnl
Multi-granularity Causal Structure Learning.
CoRR
Jiaxuan Liang, Jun Wang, Guoxian Yu, Shuyin Xia, Guoyin Wang
2023 A* conf
Reinforcement Causal Structure Learning on Order Graph.
AAAI
Dezhi Yang, Guoxian Yu, Jun Wang, Zhengtian Wu, Maozu Guo
2023 J jnl
scGGAN: single-cell RNA-seq imputation by graph-based generative adversarial network.
Briefings Bioinform.
Zimo Huang, Jun Wang, Xudong Lu, Azlan Mohd Zain, Guoxian Yu
2023 J jnl
scMCs: a framework for single-cell multi-omics data integration and multiple clusterings.
Bioinform.
Liangrui Ren, Jun Wang, Zhao Li, Qingzhong Li, Guoxian Yu
2022 J jnl
CMAL: Cost-Effective Multi-Label Active Learning by Querying Subexamples.
IEEE Trans. Knowl. Data Eng.
Guoxian Yu, Xia Chen, Carlotta Domeniconi, Jun Wang, Zhao Li, Zili Zhang, Xiangliang Zhang
2022 J jnl
DeepIDA: Predicting Isoform-Disease Associations by Data Fusion and Deep Neural Networks.
IEEE ACM Trans. Comput. Biol. Bioinform.
Guoxian Yu, Yeqian Yang, Yangyang Yan, Maozu Guo, Xiangliang Zhang, Jun Wang
2022 J jnl
DeepIII: Predicting Isoform-Isoform Interactions by Deep Neural Networks and Data Fusion.
IEEE ACM Trans. Comput. Biol. Bioinform.
Jun Wang, Long Zhang, An Zeng, Dawen Xia, Jiantao Yu, Guoxian Yu
2022 J jnl
Differentially expressed genes prediction by multiple self-attention on epigenetics data.
Briefings Bioinform.
Zimo Huang, Jun Wang, Zhongmin Yan, Maozu Guo
2022 J jnl
ELSSI: parallel SNP-SNP interactions detection by ensemble multi-type detectors.
Briefings Bioinform.
Xin Wang, Xia Cao, Yuantao Feng, Maozu Guo, Guoxian Yu, Jun Wang
2022 J jnl
EpiMC: Detecting Epistatic Interactions Using Multiple Clusterings.
IEEE ACM Trans. Comput. Biol. Bioinform.
Jun Wang, Huiling Zhang, Wei Ren, Maozu Guo, Guoxian Yu
2022 J jnl
Flexible Cross-Modal Hashing.
IEEE Trans. Neural Networks Learn. Syst.
Guoxian Yu, Xuanwu Liu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
2022 J jnl
Incentive-boosted Federated Crowdsourcing.
CoRR
Xiangping Kang, Guoxian Yu, Jun Wang, Wei Guo, Carlotta Domeniconi, Jinglin Zhang
2022 J jnl
Long-tail Cross Modal Hashing.
CoRR
Zijun Gao, Jun Wang, Guoxian Yu, Zhongmin Yan, Carlotta Domeniconi, Jinglin Zhang
2022 J jnl
Lung cancer subtype diagnosis using weakly-paired multi-omics data.
Bioinform.
Xingze Wang, Guoxian Yu, Jun Wang, Azlan Mohd Zain, Wei Guo
2022 J jnl
Multiview Multi-Instance Multilabel Active Learning.
IEEE Trans. Neural Networks Learn. Syst.
Guoxian Yu, Yuying Xing, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
2022 — conf
Phenotype Prediction by Heterogeneous Molecular Network Embedding.
BIBM
Haojiang Tan, Jun Wang, Guoxian Yu, Wei Guo, Maozu Guo
2022 J jnl
Reinforcement Causal Structure Learning on Order Graph.
CoRR
Dezhi Yang, Guoxian Yu, Jun Wang, Zhengtian Wu, Maozu Guo
2022 J jnl
Self-paced annotations of crowd workers.
Knowl. Inf. Syst.
Xiangping Kang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Wei Guo, Yazhou Ren, Xiayan Zhang, Lizhen Cui
2022 J jnl
Tissue Specificity Based Isoform Function Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform.
Guoxian Yu, Qiuyue Huang, Xiangliang Zhang, Maozu Guo, Jun Wang
2022 J jnl
Weakly Supervised Cross-Modal Hashing.
IEEE Trans. Big Data
Xuanwu Liu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Guoqiang Xiao, Maozu Guo
2021 J jnl
Active Multilabel Crowd Consensus.
IEEE Trans. Neural Networks Learn. Syst.
Guoxian Yu, Jinzheng Tu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
2021 J jnl
CDPath: Cooperative Driver Pathways Discovery Using Integer Linear Programming and Markov Clustering.
IEEE ACM Trans. Comput. Biol. Bioinform.
Ziying Yang, Guoxian Yu, Maozu Guo, Jiantao Yu, Xiangliang Zhang, Jun Wang
2021 J jnl
Co-Clustering Ensembles Based on Multiple Relevance Measures.
IEEE Trans. Knowl. Data Eng.
Xianxue Yu, Guoxian Yu, Jun Wang, Carlotta Domeniconi
2021 J jnl
Cooperative driver pathway discovery via fusion of multi-relational data of genes, miRNAs and pathways.
Briefings Bioinform.
Jun Wang, Ziying Yang, Carlotta Domeniconi, Xiangliang Zhang, Guoxian Yu
2021 J jnl
Cross-Species Protein Function Prediction with Asynchronous-Random Walk.
IEEE ACM Trans. Comput. Biol. Bioinform.
Yingwen Zhao, Jun Wang, Maozu Guo, Xiangliang Zhang, Guoxian Yu
2021 J jnl
CrowdWT: Crowdsourcing via Joint Modeling of Workers and Tasks.
ACM Trans. Knowl. Discov. Data
Jinzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Maozu Guo, Xiangliang Zhang
2021 A* conf
Crowdsourcing with Self-paced Workers.
ICDM
Xiangping Kang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Wei Guo, Yazhou Ren, Lizhen Cui
2021 J jnl
Discovering Multiple Co-Clusterings With Matrix Factorization.
IEEE Trans. Cybern.
Jun Wang, Xing Wang, Guoxian Yu, Carlotta Domeniconi, Zhiwen Yu, Zili Zhang
2021 — conf
Genome-Phenome Association Prediction by Deep Factorizing Heterogeneous Molecular Network.
BIBM
Haojiang Tan, Sichao Qiu, Jun Wang, Guoxian Yu, Wei Guo, Maozu Guo
2021 J jnl
Imbalance deep multi-instance learning for predicting isoform-isoform interactions.
Int. J. Intell. Syst.
Guoxian Yu, Jie Zeng, Jun Wang, Hong Zhang, Xiangliang Zhang, Maozu Guo
2021 J jnl
Individuality- and Commonality-Based Multiview Multilabel Learning.
IEEE Trans. Cybern.
Qiaoyu Tan, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
2021 J jnl
IsoDA: Isoform-Disease Association Prediction by Multiomics Data Fusion.
J. Comput. Biol.
Qiuyue Huang, Jun Wang, Xiangliang Zhang, Maozu Guo, Guoxian Yu
2021 — conf
Maize Epistasis Detection by Multi-class Quantitative Multifactor Dimensionality Reduction.
BIBM
Xin Wang, Jun Wang, Guoxian Yu, Beibei Xin, Maozu Guo
2021 J jnl
MetaMIML: Meta Multi-Instance Multi-Label Learning.
CoRR
Yuanlin Yang, Guoxian Yu, Jun Wang, Lei Liu, Carlotta Domeniconi, Maozu Guo
2021 J jnl
Multiple clusterings of heterogeneous information networks.
Mach. Learn.
Shaowei Wei, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
2020 A conf
Attention-Aware Answers of the Crowd.
SDM
Jingzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
2020 J jnl
Attributed heterogeneous network fusion via collaborative matrix tri-factorization.
Inf. Fusion
Guoxian Yu, Yuehui Wang, Jun Wang, Carlotta Domeniconi, Maozu Guo, Xiangliang Zhang
2020 — conf
Cooperative Driver Pathway Discovery by Hierarchical Clustering and Link Prediction.
BIBM
Sufang Li, Jun Wang, Maozu Guo, Xiangliang Zhang
2020 A* conf
Crowdsourcing with Multiple-Source Knowledge Transfer.
IJCAI
Guangyang Han, Jinzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi
2020 A* conf
Deep Incomplete Multi-View Multiple Clusterings.
ICDM
Shaowei Wei, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang
2020 J jnl
Deep Incomplete Multi-View Multiple Clusterings.
CoRR
Shaowei Wei, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang
2020 J jnl
Differentiating isoform functions with collaborative matrix factorization.
Bioinform.
Keyao Wang, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang, Guoxian Yu
2020 — conf
EpIntMC: Detecting Epistatic Interactions Using Multiple Clusterings.
ISBRA
Huiling Zhang, Guoxian Yu, Wei Ren, Maozu Guo, Jun Wang
2020 — conf
Epistasis Detection using Heterogeneous Bio-molecular Network.
BIBM
Huiling Zhang, Jun Wang, Guoxian Yu, Lizhen Cui, Maozu Guo
2020 J jnl
Feature selection with missing labels based on label compression and local feature correlation.
Neurocomputing
Lin Jiang, Guoxian Yu, Maozu Guo, Jun Wang
2020 J jnl
Isoform function prediction based on bi-random walks on a heterogeneous network.
Bioinform.
Guoxian Yu, Keyao Wang, Carlotta Domeniconi, Maozu Guo, Jun Wang
2020 — conf
Isoform-Disease Association Prediction by Data Fusion.
ISBRA
Qiuyue Huang, Jun Wang, Xiangliang Zhang, Guoxian Yu
2020 A* conf
Multi-View Multiple Clusterings Using Deep Matrix Factorization.
AAAI
Shaowei Wei, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang
2020 J jnl
Multi-label crowd consensus via joint matrix factorization.
Knowl. Inf. Syst.
Jinzheng Tu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Guoqiang Xiao, Maozu Guo
2020 A* conf
Multi-typed Objects Multi-view Multi-instance Multi-label Learning.
ICDM
Yuanlin Yang, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
2020 J jnl
Multi-typed Objects Multi-view Multi-instance Multi-label Learning.
CoRR
Yuanlin Yang, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
2020 J jnl
NMFGO: Gene Function Prediction via Nonnegative Matrix Factorization with Gene Ontology.
IEEE ACM Trans. Comput. Biol. Bioinform.
Guoxian Yu, Keyao Wang, Guangyuan Fu, Maozu Guo, Jun Wang
2020 A* conf
Partial Multi-label Learning using Label Compression.
ICDM
Tingting Yu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
2020 — conf
Partial Multi-label Learning with Label and Feature Collaboration.
DASFAA (1)
Tingting Yu, Guoxian Yu, Jun Wang, Maozu Guo
2020 J jnl
Partial Multi-label Learning with Label and Feature Collaboration.
CoRR
Tingting Yu, Guoxian Yu, Jun Wang, Maozu Guo
2020 J jnl
Predicting functions of maize proteins using graph convolutional network.
BMC Bioinform.
Guangjie Zhou, Jun Wang, Xiangliang Zhang, Maozu Guo, Guoxian Yu
2020 A* conf
Weakly-Supervised Multi-view Multi-instance Multi-label Learning.
IJCAI
Yuying Xing, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
2019 J jnl
Active Multi-Label Crowd Consensus.
CoRR
Jinzheng Tu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Xiangliang Zhang
2019 A* conf
ActiveHNE: Active Heterogeneous Network Embedding.
IJCAI
Xia Chen, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Zhao Li, Xiangliang Zhang
2019 J jnl
ActiveHNE: Active Heterogeneous Network Embedding.
CoRR
Xia Chen, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Zhao Li, Xiangliang Zhang
2019 J jnl
Attention-Aware Answers of the Crowd.
CoRR
Jingzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
2019 J jnl
CoDP: Cooperative Driver Pathways Discovery With Matrix Factorization and Tri-Random Walk.
IEEE Access
Ziying Yang, Guoxian Yu, Maozu Guo, Jun Wang
2019 — conf
CoPath: discovering cooperative driver pathways using greedy mutual exclusivity and bi-clustering.
BIBM
Ziying Yang, Guoxian Yu, Jiantao Yu, Maozu Guo, Jun Wang
2019 A* conf
Cross-Modal Zero-Shot Hashing.
ICDM
Xuanwu Liu, Zhao Li, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang
2019 J jnl
Cross-modal Zero-shot Hashing.
CoRR
Xuanwu Liu, Zhao Li, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang
2019 — conf
DMIL-III: Isoform-isoform interaction prediction using deep multi-instance learning method.
BIBM
Jie Zeng, Guoxian Yu, Jun Wang, Maozu Guo, Xiangliang Zhang
2019 — conf
DeepGOA: Predicting Gene Ontology Annotations of Proteins via Graph Convolutional Network.
BIBM
Guangjie Zhou, Jun Wang, Xiangliang Zhang, Guoxian Yu
2019 A conf
Discovering Multiple Co-Clusterings in Subspaces.
SDM
Shixin Yao, Guoxian Yu, Xing Wang, Jun Wang, Carlotta Domeniconi, Maozu Guo
2019 J jnl
Laplacian Eigenmaps Dimensionality Reduction Based on Clustering-Adjusted Similarity.
Algorithms
Honghu Zhou, Jun Wang
2019 A* conf
Multi-View Multi-Instance Multi-Label Learning Based on Collaborative Matrix Factorization.
AAAI
Yuying Xing, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang, Maozu Guo
2019 J jnl
Multi-View Multi-Instance Multi-Label Learning based on Collaborative Matrix Factorization.
CoRR
Yuying Xing, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang, Maozu Guo
2019 A* conf
Multi-View Multiple Clustering.
IJCAI
Shixin Yao, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
2019 J jnl
Multi-View Multiple Clustering.
CoRR
Shixin Yao, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
2019 J jnl
Multi-View Multiple Clusterings using Deep Matrix Factorization.
CoRR
Shaowei Wei, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang
2019 A* conf
Multiple Independent Subspace Clusterings.
AAAI
Xing Wang, Jun Wang, Carlotta Domeniconi, Guoxian Yu, Guoqiang Xiao, Maozu Guo
2019 J jnl
Multiple Independent Subspace Clusterings.
CoRR
Xing Wang, Jun Wang, Carlotta Domeniconi, Guoxian Yu, Guoqiang Xiao, Maozu Guo
2019 J jnl
Protein-protein interactions prediction based on ensemble deep neural networks.
Neurocomputing
Long Zhang, Guoxian Yu, Dawen Xia, Jun Wang
2019 A* conf
Ranking-Based Deep Cross-Modal Hashing.
AAAI
Xuanwu Liu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Yazhou Ren, Maozu Guo
2019 J jnl
Ranking-based Deep Cross-modal Hashing.
CoRR
Xuanwu Liu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Yazhou Ren, Maozu Guo
2019 — conf
Selective Matrix Factorization for Multi-relational Data Fusion.
DASFAA (1)
Yuehui Wang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Xiangliang Zhang, Maozu Guo
2019 J jnl
Weakly-paired Cross-Modal Hashing.
CoRR
Xuanwu Liu, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang
2019 J jnl
Weighted samples based semi-supervised classification.
Appl. Soft Comput.
Xia Chen, Guoxian Yu, Qiaoyu Tan, Jun Wang
2018 J jnl
BMC3C: binning metagenomic contigs using codon usage, sequence composition and read coverage.
Bioinform.
Guoxian Yu, Yuan Jiang, Jun Wang, Hao Zhang, Haiwei Luo
2018 A* conf
Cost Effective Multi-label Active Learning via Querying Subexamples.
ICDM
Xia Chen, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zhao Li, Zili Zhang
2018 A* conf
Feature-Induced Partial Multi-label Learning.
ICDM
Guoxian Yu, Xia Chen, Carlotta Domeniconi, Jun Wang, Zhao Li, Zili Zhang, Xindong Wu
2018 A* conf
Incomplete Multi-View Weak-Label Learning.
IJCAI
Qiaoyu Tan, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang
2018 B conf
Matrix Factorization for Identifying Noisy Labels of Multi-label Instances.
PRICAI
Xia Chen, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang
2018 J jnl
Matrix factorization-based data fusion for the prediction of lncRNA-disease associations.
Bioinform.
Guangyuan Fu, Jun Wang, Carlotta Domeniconi, Guoxian Yu
2018 A* conf
Multi-Label Co-Training.
IJCAI
Yuying Xing, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang
2018 A* conf
Multi-label Answer Aggregation Based on Joint Matrix Factorization.
ICDM
Jinzheng Tu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Guoqiang Xiao, Maozu Guo
2018 A conf
Multi-view Weak-label Learning based on Matrix Completion.
SDM
Qiaoyu Tan, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang
2018 A* conf
Multiple Co-clusterings.
ICDM
Xing Wang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zhiwen Yu, Zili Zhang
2018 J jnl
NewGOA: Predicting New GO Annotations of Proteins by Bi-Random Walks on a Hybrid Graph.
IEEE ACM Trans. Comput. Biol. Bioinform.
Guoxian Yu, Guangyuan Fu, Jun Wang, Yingwen Zhao
2018 J jnl
Predicting protein-protein interactions using high-quality non-interacting pairs.
BMC Bioinform.
Long Zhang, Guoxian Yu, Maozu Guo, Jun Wang
2018 — conf
Weighted matrix factorization based data fusion for predicting lncRNA-disease associations.
BIBM
Guoxian Yu, Yuehui Wang, Jun Wang, Guangyuan Fu, Maozu Guo, Carlotta Domeniconi
2017 J jnl
HashGO: hashing gene ontology for protein function prediction.
Comput. Biol. Chem.
Guoxian Yu, Yingwen Zhao, Chang Lu, Jun Wang
2017 J jnl
NoGOA: predicting noisy GO annotations using evidences and sparse representation.
BMC Bioinform.
Guoxian Yu, Chang Lu, Jun Wang
2017 J jnl
Semi-Supervised Multi-Label Dimensionality Reduction Based on Dependence Maximization.
IEEE Access
Yanming Yu, Jun Wang, Qiaoyu Tan, Lianyin Jia, Guoxian Yu
2017 J jnl
Semi-supervised classification by discriminative regularization.
Appl. Soft Comput.
Jun Wang, Guangjun Yao, Guoxian Yu
2017 J jnl
Semi-supervised multi-label classification using incomplete label information.
Neurocomputing
Qiaoyu Tan, Yanming Yu, Guoxian Yu, Jun Wang
2016 J jnl
Interspecies gene function prediction using semantic similarity.
BMC Syst. Biol.
Guo-Xian Yu, Wei Luo, Guangyuan Fu, Jun Wang
2016 J jnl
NegGOA: negative GO annotations selection using ontology structure.
Bioinform.
Guangyuan Fu, Jun Wang, Bo Yang, Guo-Xian Yu
2016 J jnl
NoisyGOA: Noisy GO annotations prediction using taxonomic and semantic similarity.
Comput. Biol. Chem.
Chang Lu, Jun Wang, Zili Zhang, Pengyi Yang, Guo-Xian Yu
2016 J jnl
Predicting Protein Function via Semantic Integration of Multiple Networks.
IEEE ACM Trans. Comput. Biol. Bioinform.
Guo-Xian Yu, Guangyuan Fu, Jun Wang, Hailong Zhu
2016 J jnl
Semi-Supervised Classification Based on Low Rank Representation.
Algorithms
Xuan Hou, Guangjun Yao, Jun Wang
2010 — conf
A graph and hierarchical clustering based approach for population structure inference.
BCB
Jun Wang, Maozu Guo
2010 — conf
SNPs and entropy based hierarchical clustering method for genetic phylogeny analysis.
FSKD
Jun Wang, Maozu Guo
2010 — conf
Two-stage clustering based effective sample selection for classification of pre-miRNAs.
BIBM
Ping Xuan, Maozu Guo, Lei-lei Shi, Jun Wang, Xiaoyan Liu, Wenbin Li, Yingpeng Han
2009 J jnl
A hybrid clustering and graph based algorithm for tagSNP selection.
Soft Comput.
Maozu Guo, Jun Wang, Chunyu Wang, Yang Liu
2009 J jnl
CGTS: a site-clustering graph based tagSNP selection algorithm in genotype data.
BMC Bioinform.
Jun Wang, Maozu Guo, Chunyu Wang
2008 — conf
TagSNPs Selection Using Maximum Density Subgraph.
ICNC (5)
Jun Wang, Maozu Guo, Juan Chen, Yang Liu