2011-2013年 美国乔治梅森大学(George Mason University) 国家公派联合培养博士生 2007-2013年 华南理工大学 计算机科学与工程学院 计算机应用技术工学博士 2003-2007年 西安理工大学 计算机科学与工程学院 软件工程学士

018- 西南大学计算机与信息科学学院 教授 博/硕士生导师 2013-2018 西南大学计算机与信息科学学院 副教授 硕士生导师 2014-2015年 香港浸会大学 计算机科学系 博士后研究员

作为负责人主持(完成)国家自然科学基金3项(61872300, 61741217, 61402378)、重庆市自然科学基金2项(cstc2018jcyjAX0228, cstc2014jcyjA40031)、教育部中央高校重点项目2项，一般项目1项，重庆市研究生教改项目1项。

在国际顶级会议(SIGKDD, IJCAI, AAAI, ICDM, SDM等), 国内外知名期刊(TKDE, IEEE Trans on Cybernetics, IEEE Trans. on Big Data, Bioinformatics，Briefings in Bioinformatics, TCBB, 中国科学－信息科学，计算机学报，软件学报等)发表论文100余篇。 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, 2019, 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, 2018. 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, 2017, 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, 2016, 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, 2019, 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, 2017,28(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, 2017, 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, 2016, 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, 2020. [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, 2020. [3]. Shixin Yao+, Guoxian Yu*, Carlotta Domeniconi, Jun Wang, Xiangliang Zhang Multi-View Multiple Clustering, 28th International Joint Conference on Artificial Intelligence (IJCAI) (CCF Rank A), 2019, 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), 2019, 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), 2019, 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),2019, 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), 2019, 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), 2019, 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), 2019, 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), 2019, 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), 2018, 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), 2018, 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), 2018, 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), 2018, 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), 2018, 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), 2018, 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), 2018, 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), 2018, 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), 2017, 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), 2013, 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), 2013, 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), 2012, 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), 2018, 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), 2018, 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), 2016, 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), 2018, 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), 2016, 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), 2015, 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), 2014, 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), 2013, 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), 2015, 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), 2012, 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), 2017, 18: 350. [23]. Guoxian Yu*, Hailong Zhu, Carlotta Domeniconi. Predicting Protein Function using Incomplete Hierarchical Labels, BMC Bioinformatics (CCF Rank C), 2015, 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), 2015, 16: 271. [25]. Guoxian Yu*, Wei Luo, Guangyuan Fu, Jun Wang. Interspecies gene function prediction using semantic similarity, BMC Systems Biology, 2016, 10: 361. [26]. Guoxian Yu*, Hailong Zhu, Carlotta Domeniconi, Maozu Guo. Integrating Multiple Networks for Protein Function Prediction, BMC Systems Biology, 2015, 9(S1): S3. [27]. Xia Chen+, Guoxian Yu*, Qiaoyu Tan, Jun Wang. Weighted Samples based Semi-Supervised Classification, Applied Soft Computing, 2019, 79: 46-58. [28]. Jun Wang, Guangjun Yao, Guoxian Yu*. Semi-supervised classification by discriminative regularization, Applied Soft Computing, 2017, 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, 2012, 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, 2019, 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, 2017, 9(2): 109. [33]. Guoxian Yu*, Guangyuan Fu+, Chang Lu+, Yazhou Ren, Jun Wang*. BRWLDA: Bi-random walks for predicting lncRNA-disease associations, Oncotarget, 2017, 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, 2017, 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, 2016, 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), 2011, 74(4): 598-605.