国内期刊论文(+指导的学生，*通讯作者):
[1].赵颖闻+，王峻，郭茂祖，张自力，余国先*.基于0-1矩阵分解的蛋白质功能预测,中国科学-信息科学, , 49(9): 1159-1174.
[2]. 路畅+,陈霞，王峻，余国先*,余志文. 基于稀疏语义的蛋白质噪声功能标注识别, 中国科学－信息科学, . 48(8): 1035-1050.
[3].余国先*，傅广垣+，王峻，郭茂祖. 基于降维的蛋白质不相关功能预测, 中国科学－信息科学, , 47(10): 1349-1368.
[4]. 傅广垣+，余国先*，王峻，张自力. 基于有向混合图的蛋白质新功能预测, 中国科学-信息科学, , 46(4): 461-475.
[5].王星+，王峻*，余国先，郭茂祖. 基于网络约束双聚类的癌症亚型分类, 计算机学报, , 42(6): 1274-1288.
[6]. 谭桥宇+，余国先，王峻*，郭茂祖. 基于标记与特征依赖最大化的弱标记集成分类, 软件学报, ,28(11): 2851-2864.
[7].余国先，王可尧，傅广垣，王峻*，曾安. 基于多网络数据协同矩阵分解的蛋白质功能预测, 计算机研究与发展, , 54(12): 2660-2673.
[8]. 傅广垣+，余国先*，王峻，郭茂祖. 基于正负样例的蛋白质功能预测, 计算机研究与发展, , 53(8): 1753-1765.
国际会议论文
[1].Jinzheng Tu+, Guoxian Yu*, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang.Attention-Aware Answers of the Crowd, 20th SIAM Conference on Data Mining (SDM) (CCF Rank B), In Print, .
[2].Shaowei Wei+, Jun Wang*, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang.Multi-View Multiple Clusterings using Deep Matrix Factorization, 34rd AAAI Conference on Artificial Intelligence (AAAI) (CCF Rank A), In Print, .
[3].Shixin Yao+, Guoxian Yu*, Carlotta Domeniconi, Jun Wang, Xiangliang ZhangMulti-View Multiple Clustering, 28th International Joint Conference on Artificial Intelligence (IJCAI) (CCF Rank A), , pp. 4121-4127.
[4]. Xia Chen+, Guoxian Yu*, Jun Wang, Carlotta Domeniconi, Zhao Li, Xiangliang Zhang.ActiveHNE: Active Heterogeneous Network Embedding, 28th International Joint Conference on Artificial Intelligence (IJCAI) (CCF Rank A), , pp. 2123-2129.
[5]. Xing Wang+, Jun Wang*, Carlotta Domeniconix, Guoxian Yu, Guoqiang Xiao, Maozu Guo Multiple Independent Subspace Clusterings, 33rd AAAI Conference on Artificial Intelligence (AAAI) (CCF Rank A), , pp. 5353-5360.
[6]. Yuying Xing+, Guoxian Yu*, Carlotta Domeniconi, Jun Wang, Zili Zhang, Maozu Guo Multi-View Multi-Instance Multi-Label Learning based on Collaborative Matrix Factorization, 33rd AAAI Conference on Artificial Intelligence (AAAI) (CCF Rank A),, pp. 5508-5515.
[7]. Xuanwu Liu+, Guoxian Yu*, Carlotta Domeniconi, Jun Wang, Yazhou Ren, Maozu Guo Ranking-based Deep Cross-modal Hashing, 33rd AAAI Conference on Artificial Intelligence (AAAI) (CCF Rank A), , pp. 4400-4407.
[8]. Xuanwu Liu, Zhao Li, Jun Wang, Guoxian Yu*, Carlotta Domeniconi, Xiangliang Zhang.Cross-modal Zero-shot Hashing, IEEE International Conference on Data Mining (ICDM) (CCF B), , pp. 449-458.
[9]. Shixin Yao+, Guoxian Yu, Xing Wang, Jun Wang*, Carlotta Domeniconi, Maozu Guo Discovering Multiple Co-Clusterings in Subspaces, SIAM Conference on Data Mining (SDM) (CCF Rank B), , pp. 423-431.
[10]. Yuehui Wang+, Guoxian Yu*, Carlotta Domeniconi, Jun Wang, Xiangliang Zhang, Maozu Guo. Selective Matrix Factorization for Multi-Relational Data Fusion, 24th International Conference on Database Systems for Advanced Applications (DASFAA) (CCF Rank B), , pp. 313-329.
[11]. Yuying Xing+, Guoxian Yu*, Carlotta Domeniconi, Jun Wang, Zili Zhang. Multi-Label Co-Training, 27th International Joint Conference on Artificial Intelligence (IJCAI) (CCF Rank A), , pp.2882-2888.
[12]. Qiaoyu Tan+, Guoxian Yu*, Carlotta Domeniconi, Jun Wang, Zili Zhang. Incomplete Multi-View Weak-Label Learning, 27th International Joint Conference on Artificial Intelligence (IJCAI) (CCF Rank A), , pp.2703-2709.
[13]. Jinzheng Tu+, Guoxian Yu*, Carlotta Domeniconi, Jun Wang, Guoqiang Xiao, and Maozu Guo. Multi-Label Answer Aggregation based on Joint Matrix Factorization, International Conference on Data Mining (ICDM) (CCF Rank B), , pp.517-526.
[14]. Xing Wang+, Guoxian Yu, Carlotta Domeniconi, Jun Wang*, Zhiwen Yu, and Zili Zhang. Multiple Co-Clusterings, International Conference on Data Mining (ICDM) (CCF Rank B), , pp. 1308-1313.
[15]. Xia Chen+, Guoxian Yu*, Carlotta Domeniconi, Jun Wang, Zhao Li, and Zili Zhang. Cost Effective Multi-label Active Learning via Querying Subexamples, International Conference on Data Mining (ICDM) (CCF Rank B), , pp. 905-910.
[16]. Guoxian Yu*, Xia Chen+, Carlotta Domeniconi, Jun Wang, Zhao Li, Zili Zhang, and Xindong Wu. Feature-induced Partial Multi-label Learning, International Conference on Data Mining (ICDM) (CCF Rank B), , pp. 1398-1403.
[17]. Qiaoyu Tan+, Guoxian Yu*, Jun Wang, Zili Zhang, Carlotta Domeniconi. Multi-view Weak-label Learning based on Matrix Completion, 18th SIAM Conference on Data Mining (SDM) (CCF Rank B), , pp. 450-458.
[18]. Xia Chen+, Guoxian Yu*, Carlotta Domeniconi, Jun Wang, Zili Zhang. Matrix Factorization for Identifying Noisy Labels of Multi-label Instances, 15th Pacific Rim International Conference on Artificial Intelligence (PRICAI) (CCF Rank C), , pp. 508-517
[19]. Yanming Yu+, Guoxian Yu*, Xia Chen+ and Yazhou Ren. Semi-supervised Multi-label Linear Discriminant Analysis, 24th International Conference on Neural Information Processing (ICONIP) (CCF Rank C), , pp. 688-698.
[20]. Guoxian Yu*, Huzefa Rangwala, Carlotta Domeniconi, Guoji Zhang, Zili Zhang. Protein Function Prediction by Integrating Multiple Kernels, 23rd International Joint Conference on Artificial Intelligence (IJCAI) (CCF Rank A), , pp.1869-1875.
[21]. Guoxian Yu*, Carlotta Domeniconi, Huzefa Rangwala, Guoji Zhang. Protein Function Prediction using Dependence Maximization, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD) (CCF Rank B), , pp. 574-589.
[22]. Guoxian Yu*, Carlotta Domeniconi, Huzefa Rangwala, Guoji Zhang, Zhiwen Yu. Transductive Multi-label Ensemble Classification for Protein Function Prediction, Proceedings of the 18th ACM SIGKDD Conference on Knowledge Discovery in Database (KDD) (CCF Rank A), , pp. 1077-1085.
国际期刊论文
[1]. Xianxue Yu+, Guoxian Yu*, Jun Wang, Carlotta Domeniconi.Co-clustering Ensembles based on Multiple Relevance Measures, IEEE Transactions on Knowledge and Data Engineering (CCF Rank A), In Print.
[2]. Jun Wang, Xing Wang+, Guoxian Yu*, Carlotta Domeniconi, Zhiwen Yu, Zili Zhang.Discovering Multiple Co-Clusterings with Matrix Factorization, IEEE Transactions on Cybernetics (CCF Rank B), In Print.
[3]. Qiaoyu Tan+, Guoxian Yu*, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang.Individuality and Commonality based Multi-View Multi-Label Learning, IEEE Transactions on Cybernetics (CCF Rank B), In Print.
[4]. Xuanwu Liu+, Guoxian Yu*, Carlotta Domeniconi, Jun Wang, Guoqiang Xiao, Maozu Guo.Weakly-supervised Cross-modal Hashing, IEEE Transactions on Big Data (CCF Rank C), In Print.
[5]. 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 in Bioinformatics (CCF Rank B), In Print.
[6]. Keyao Wang+, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang, Guoxian Yu*.Differentiating isoform functions with collaborative matrix factorization, Bioinformatics(CCF Rank B), In Print.
[7]. Guoxian Yu, Keyao Wang+, Carlotta Domeniconi, Maozu Guo*, Jun Wang*.Isoform function prediction based on bi-random walks on a heterogeneous network, Bioinformatics(CCF Rank B), In Print.
[8].Guoxian Yu*, Yuan Jiang, Jun Wang, Hao Zhang, Haiwei Luo*. BMC3C: Binning Metagenomic Contigs using Codon usage, sequence Composition and read Coverage,Bioinformatics(CCF Rank B), , 34(24): 4171-4179.
[9]. Guangyuan Fu+, Jun Wang, Carlotta Domeniconi,Guoxian Yu*. Matrix factorization based data fusion for the prediction of lncRNA-disease associations,Bioinformatics(CCF Rank B), , 34(9): 1529-1537.
[10]. Guangyuan Fu+, Jun Wang, Bo Yang,Guoxian Yu*. NegGOA: Negative GO Annotations Selection using Ontology Structure,Bioinformatics(CCF Rank B), , 32(19): 2996-3004.
[11]. Yingwen Zhao+, Jun Wang, Maozu Guo, Xiangliang Zhang, Guoxian Yu*.Cross-Species Protein Function Prediction with Asynchronous-Random Walk, IEEE/ACM Transactions on Computational Biology and Bioinformatics(CCF RankB), In Print.
[12]. 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 Transactions on Computational Biology and Bioinformatics (CCF Rank B), In Print.
[13].Guoxian Yu, Keyao Wang+, Guangyuan Fu, Maozu Guo, Jun Wang*. NMFGO: Gene function prediction via nonnegative matrix factorization with Gene Ontology,IEEE/ACM Transactions on Computational Biology and Bioinformatics(CCF Rank B),In Print.
[14].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 Transactions on Computational Biology and Bioinformatics(CCF Rank B), , 15(4): 1390-1402.
[15].Guoxian Yu*, Guangyuan Fu+, Jun Wang, Hailong Zhu. Predicting Protein Function via Semantic Integration of Multiple Networks,IEEE/ACM Transactions on Computational Biology and Bioinformatics(CCF Rank B), , 13(2): 220-232.
[16].Guoxian Yu*, Huzefa Rangwala, Carlotta Domeniconi, Guoji Zhang, Zili Zhang. Predicting Protein Function using Multiple Kernels,IEEE/ACM Transactions on Computational Biology and Bioinformatics(CCF Rank B), , 12(1): 219-233.
[17].Guoxian Yu*, Huzefa Rangwala, Carlotta Domeniconi, Guoji Zhang, Zhiwen Yu. Protein Function Prediction with Incomplete Annotations,IEEE/ACM Transactions on Computational Biology and Bioinformatics(CCF Rank B), , 11(3): 579-591.
[18]. Guoxian Yu*, Huzefa Rangwala, Carlotta Domeniconi, Guoji Zhang, Zhiwen Yu. Protein Function Prediction using Multi-label Ensemble Classification,IEEE/ACM Transactions on Computational Biology and Bioinformatics(CCF Rank B), , 10(4): 1045-1057.
[19]. Jinzheng Tu+, Guoxian Yu*, Carlotta Domeniconi, Jun Wang, Guoqiang Xiao, Maozu Guo.Multi-Label Crowd Consensus via Joint Matrix Factorization,Knowledge and Information Systems(CCF Rank B), In Print.
[20].Guoxian Yu*, Guoji Zhang, Zili Zhang, Zhiwen Yu, Lin Deng. Semi-Supervised Classification based on Subspace Sparse Representation,Knowledge and Information Systems(CCF Rank B),, 43 (1): 81-101.
[21].Guoxian Yu*, Guoji Zhang, Carlotta Domeniconi, Zhiwen Yu and Jane You. Semi-Supervised Classification based on Random Subspace Dimensionality Reduction,Pattern Recognition(CCF Rank B), , 45(3): 1119-1135.
[22].Yuehui Wang+, Maozu Guo, Yazhou Ren, Lianyin Jia, Guoxian Yu*.Drug Repositioning based on Individual Bi-random Walks on a Heterogeneous Network, BMC Bioinformatics (CCF Rank C), In Print.
[22].Guoxian Yu*, Chang Lu+, Jun Wang. NoGOA: predicting noisy GO annotations using evidences and sparse representation,BMC Bioinformatics(CCF Rank C), , 18: 350.
[23].Guoxian Yu*, Hailong Zhu, Carlotta Domeniconi. Predicting Protein Function using Incomplete Hierarchical Labels,BMC Bioinformatics(CCF Rank C), , 16: 1.
[24].Guoxian Yu*, Hailong Zhu, Carlotta Domeniconi, Jiming Liu. Predicting protein function via downward random walks on a gene ontology,BMC Bioinformatics(CCF Rank C), , 16: 271.
[25].Guoxian Yu*, Wei Luo, Guangyuan Fu, Jun Wang. Interspecies gene function prediction using semantic similarity,BMC Systems Biology, , 10: 361.
[26].Guoxian Yu*, Hailong Zhu, Carlotta Domeniconi, Maozu Guo. Integrating Multiple Networks for Protein Function Prediction,BMC Systems Biology, , 9(S1): S3.
[27]. Xia Chen+, Guoxian Yu*, Qiaoyu Tan, Jun Wang.Weighted Samples based Semi-Supervised Classification, Applied Soft Computing, , 79: 46-58.
[28]. Jun Wang, Guangjun Yao,Guoxian Yu*. Semi-supervised classification by discriminative regularization,Applied Soft Computing, , 58: 245-255.
[29]. Guoxian Yu*, Guoji Zhang, Zhiwen Yu, Carlotta Domeniconi, Jane You, Guoqiang Han. Semi-Supervised Ensemble Classification in Subspaces, Applied Soft Computing,Applied Soft Computing,, 12(5): 1511-1522.
[30]. Yuehui Wang+, Guoxian Yu*, Jun Wang, Guangyuan Fu, Maozu Guo, Carlotta Domeniconi.Weighted Matrix Factorization on multi-relational data for LncRNA-Disease Association prediction, Methods, In Print.
[31]. Yingwen Zhao+, Guangyuan Fu+, Jun Wang, Maozu Guo, Guoxian Yu*.Gene function prediction based on Gene Ontology Hierarchy Preserving Hashing, Genomics, , 111(3): 334-342.
[32]. Qiaoyu Tan+, Yezi Liu, Xia Chen, Guoxian Yu*. Multi-Label Classification Based on Low Rank Representation for Image Annotation, Remote Sensing, , 9(2): 109.
[33]. Guoxian Yu*, Guangyuan Fu+, Chang Lu+, Yazhou Ren, Jun Wang*. BRWLDA: Bi-random walks for predicting lncRNA-disease associations, Oncotarget, , 8(36): 60429-60446.
[34]. Guoxian Yu, Yingwen Zhao+, Chang Lu+, Jun Wang*. HashGO: Hashing Gene Ontology for protein function prediction,Computational Biology and Chemistry, , 71: 264-273.
[35]. Chang Lu+, Jun Wang, Zili Zhang, Pengyi Yang,Guoxian Yu*. NoisyGOA: Noisy GO annotations prediction using taxonomic and semantic similarity,Computational Biology and Chemistry, , 65: 203-211.
[36]. Guoxian Yu*, Hong Peng, Jia Wei, Qianli Ma, Enhanced Locality Preserving Projections with Robust Path based Similarity, Neurocomputing(CCF Rank C), , 74(4): 598-605.
王峻 非西南大学计算机与信息科学学院教授 余国先 - 计算机与信息科学学院 - Powered by 西南大学...
