2004年于哈尔滨工业大学计算机科学与技术学院获得工学学士学位 2006年于哈尔滨工业大学计算机科学与技术学院获得工学硕士学位 2010年于哈尔滨工业大学计算机科学与技术学院人工智能与信息处理专业获得工学博士学位

作为负责人主持（完成）国家自然科学基金2项(61873214, 61101234)，重庆市自然科学基金项目、教育部中央高校基本科研业务经费团队项目、重点项目和博士启动项目各1项。主研科技部支撑计划2项，863国家级项目1项，国家自然科学基金8项，重庆市自然科学基金项目1项

近年来，在国际知名刊物（TKDE, Bioinformatics, BMC Bioinformatics, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Neurocomputing等），著名会议（IJCAI, AAAI, ICDM, SDM, BIBM)等），国内一级学报（计算机学报，软件学报、计算机研究与发展、中国科学-信息科学、电子学报等）上发表科研论文70余篇，其中SCI收录40余篇，CCF A/B类24篇，一级学报收录10篇，EI收录6篇。 期刊论文： [1]. 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.国内一级学报. [2]. 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. 国内一级学报. [3]. 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. 国内一级学报. [4]. Jun Wang, Xing Wang+, Guoxian Yu, Carlotta Domeniconi, Zhiwen Yu, Zili Zhang. Discovering Multiple Co-Clusterings with Matrix Factorization, IEEE Transactions on Cybernetics, In Print, IF: 10.381, CCF B. [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, In Print, IF: 9.101, CCF B. [6]. Guoxian Yu, Keyao Wang, Carlotta Domeniconi, Maozu Guo, Jun Wang*. Isoform function prediction based on bi-random walks on a heterogeneous network, Bioinformatics, 2019, In Print. IF: 5.481. CCF B. [7]. 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, In Print, IF: 2.89. CCF B. [8]. 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, 2019, In Print, IF: 2.89. CCF B. [9]. Xia Cao+, Guoxian Yu, Wei Ren, Maozu Guo, Jun Wang*. DualWMDR: detecting epistatic interaction with dual screening and multifactor dimensionality reduction. Human Mutation.2019， In Print, IF: 4.5. [10]. 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. IF: 5.168. [11]. Lin Jiang+, Guoxian Yu, Maozu Guo*, Jun Wang*. Feature selection with missing labels based on label compression and local feature correlation, Neurocomputing, In Prin. . IF: 4.072. CCF C. [12]. Long Zhang+, Guoxian Yu, Dawen Xia, Jun Wang*. Protein-Protein Interactions Prediction based on Ensemble Deep Neural Networks, Neurocomputing, 2019, 324: 10-19. IF: 4.072. CCF C. [13]. Qiaoyu Tan+, Yanming Yu+, Guoxian Yu, Jun Wang*. Semi-supervised multi-label classification using incomplete label information, Neurocomputing, 2017, 260: 192-202. IF: 4.072. CCF C. [14]. Jun Wang, Guangjun Yao+, Guoxian Yu*. Semi-supervised classification by discriminative regularization, Applied Soft Computing, 2017, 58: 245-255. IF: 4.873. [15]. Long Zhang+, Guoxian Yu, Maozu Guo, Jun Wang*. Predicting protein-protein interactions using high-quality non-interacting pairs, BMC Bioinformatics, 2018, 19(S19): 525. IF: 2.51. CCF C. [16]. Ziying Yang+, Guoxian Yu, Maozu Guo, Jun Wang*. CoDP: Cooperative driver pathways discovery with matrix factorization and tri-random walk, IEEE Access, 2019, 7(1): 77738-77749. IF:4.098. [17]. Yanming Yu+, Jun Wang*, Qiaoyu Tan, Lianyin Jia, Guoxian Yu. Semi-supervised Multi-label Dimensionality Reduction based on Dependence Maximization, IEEE Access, 2017, 5: 21927-21940. IF: 4.098. [18]. Guoxian Yu, Xianxue Yu, Jun Wang*. Network-aided Bi-Clustering for discovering cancer subtypes, Scientific Reports, 2017, 7: 1046. IF: 5.228. [19]. Xia Cao+, Guoxian Yu, Jie Liu+, Lianyin Jia, Jun Wang*. ClusterMI: Detecting High-Order SNP Interactions based on Clustering and Mutual Information, International Journal of Molecular Sciences, 2018, 19(8), 2267. IF: 4.183. [20]. Jun Wang, Long Zhang, Lianyin Jia, Yazhou Ren, Guoxian Yu*. Protein-Protein Interactions Prediction using a Novel Local Conjoint Triad De of Amino Acids Sequence, International Journal of Molecular Sciences, 2017, 18(11), 2373. IF: 4.183. [21]. Xia Cao+, Jie Liu+, Maozu Guo, Jun Wang*. HiSSI: High-der SNP-SNP Interactions Detection based on Efficient Significant Pattern Differential Evolution, BMC Medical Genomics, 2019, In Print. IF: 2.568. [22]. Jie Liu+, Guoxian Yu, Yazhou Ren, Maozu Guo, Jun Wang*. TrioMDR: detecting SNP interactions in trio families with model-based multifactor dimensionality reduction, Genomics, 2019, 111(5): 1176-1182. IF: 3.16. [23]. Jie Liu+, Guoxian Yu, Yuan Jiang+, Jun Wang*. HiSeeker: Detecting High-Order SNP Interactions Based on Pairwise SNP Combinations, Genes, 2017, 8(6): 153. IF: 3.331. [24]. Jun Wang, Le Zhang, Quan Zou, Jun Tan, Xiaowei Chen, Yukun Wu. Association studies on mtDNA and Parkinsons disease population discrimination using the statistical classification, Current Bioinformatics, 2014, 9, 481-489. IF: 0.921. [25]. Jie Liu+, Jun Wang*, Guoxian Yu. Protein Function Prediction by Random Walks on a Hybrid Graph, Current Proteomics, 2016, 13(2): 130-142. IF: 0.768. [26]. Jun Wang, Le Zhang, Chengyang Jing, Gang Ye, Hulin Wu, Hongyu Miao, Yukun Wu, Xiaobo Zhou. Multi-scale Agent-based Modeling on melanoma and its related angiogenesis analysis, Theoretical Biology and Medical Modelling, 2013, 10: 41. IF: 1.568. [27]. Jun Wang, Maozu Guo, Chunyu Wang. CGTS: A Site-clustering Graph Based TagSNP Selection Algorithm in Genotype Data, BMC Bioinformatics, 2009, 10(1): S71. IF: 2.51. CCF C. [28]. Xianxue Yu, Guoxian Yu*, Jun Wang, Carlotta Domeniconi. Co-clustering Ensembles based on Multiple Relevance Measures, IEEE Transactions on Knowledge and Data Engineering, 2019, In Print, IF: 3.857. CCF A. [29]. Guangyuan Fu, Jun Wang, Carlotta Domeniconi, Guoxian Yu*. Matrix factorization based data fusion for the prediction of lncRNA-disease associations, Bioinformatics, 2018, 34(9):1529-1537. IF: 5.481. CCF B. [30]. Guangyuan Fu, Jun Wang, Bo Yang, Guoxian Yu*. NegGOA: Negative GO Annotations Selection using Ontology Structure, Bioinformatics, 2016, 32(19): 2996-3004. IF: 5.481. CCF B. [31]. 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, 2019, In Print. IF: 2.89. CCF B. [32]. 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. [33]. 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. [34]. 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. 会议论文： [35]. 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), 2020, pp. 1-8. CCF A. [36]. Xing Wang+, Jun Wang*, Carlotta Domeniconix, Guoxian Yu, Guoqiang Xiao, Maozu Guo. Multiple Independent Subspace Clusterings, 33rd AAAI Conference on Artificial Intelligence (AAAI), 2019, pp. 5353-5360. CCF A. [37]. Shixin Yao+, Guoxian Yu, Xing Wang+, Jun Wang*, Carlotta Domeniconi, Maozu Guo. Discovering Multiple Co-Clusterings in Subspaces, SIAM Conference on Data Mining (SDM), 2019, pp. 423-431. CCF B. [38]. Xing Wang+, Guoxian Yu, Carlotta Domeniconi, Jun Wang*, Zhiwen Yu, and Zili Zhang. Multiple Co-Clusterings, International Conference on Data Mining (ICDM), 2018, pp. 1308-1313. CCF B. [39]. Ziying Yang+, Guoxian Yu, Jiantao Yu, Maozu Guo, Jun Wang*. CoPath: discovering cooperative driver pathways using greedy mutual exclusivity and bi-clustering, IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2019. In Print. CCF B. [40]. Guoxian Yu, Yuehui Wang, Jun Wang*, Guangyuan Fu, Maozu Guo, and Carlotta Domeniconi. Weighted matrix factorization based data fusion for predicting lncRNA-disease associations, IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2018, pp. 572-577. CCF B.