个人简介
余国先，男，工学博士，山东大学教授，博（硕）士生导师，齐鲁青年学者。主要从事机器学习，数据挖掘及其在生物医学数据分析中的应用研究，获2019年度重庆市科学技术奖（自然科学）三等奖“弱监督学习及其在复杂生物数据分析中的研究与应用”（余国先，郭茂祖等）。重庆市学术技术带头人后备人选（2018），中国计算机学会会员（人工智能与模式识别专委会委员、生物信息学专委会委员、大数据专委会通讯委员），中国人工智能学会会员（机器学习专委会委员、生物信息学与人工生命专委会委员）。BioMed Research International（SCI）副编辑，担任KDD，NeurIPS，IJCAI，AAAI，ICDM，SDM，WSDM，ECAI和BIBM等国内外重要会议程序委员（Senior/Program Committee, Area Chair），和TPAMI，TNNLS，TKDE，TCBB，Information Fusion，Genome Biology，Bioinformatics，BiB，自动化学报，中国科学-信息科学等多个国内外主流期刊审稿人。
在国内外主流会议和期刊（KDD，AAAI，IJCAI，TKDE，TNNLS，TKDD，Bioinformatics，BiB，TCBB，中国科学-信息科学，计算机研究与发展等）发表论文100余篇。主持(完成)国家自然科学基金4项，重庆市自然科学基金2项。讲授《机器学习》和《数据库系统原理》等课程。
研究方向
机器学习，数据挖掘与生物信息学，包括但不限于多标记学习，多视图学习，多示例学习，集成学习，众智科学，多源数据整合，大数据分析，深度学习与大规模并行数据分析，基于机器学习和数据挖掘技术的分子功能预测和疾病关联分析等。
科研项目
1. 国家自然科学基金（重点），玉米基因型-表型数据关联的智能处理方法与验证（合作单位主持，2021-2025）
2. 国家自然科学基金（面上），面向可变剪接异构体功能预测的数据整合方法研究（主持，2019-2022）
3. 国家自然科学基金（应急管理），基于多层次数据集成的跨物种蛋白质功能预测研究（主持，2018-2018）
4. 国家自然科学基金（青年基金），面向蛋白质功能预测的多标记学习方法研究与应用（主持，2015-2017）
5. 重庆市基础与前沿研究项目（面上），面向跨物种蛋白质功能预测的多源异构数据表示与集成模型研究（主持，2018-2020）
6. 重庆市基础与前沿研究项目(面上)，多标记学习方法在蛋白质功能预测中的研究与应用(主持，2014-2017)
7. 人力资源和社会保障部(留学人员科技活动项目择优资助)，高维数据上的半监督学习研究与应用（主持，2014-2016）
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 A), 2020.
[2]. 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 Transactions on Knowledge and Data Engineering (CCF A), 2020.
[3]. Jinzheng Tu+, Guoxian Yu*, Jun Wang, Carlotta Domeniconi, Maozu Guo, Xiangliang Zhang. CrowdWT: Crowdsourcing via Joint Modeling of Workers and Tasks, ACM Transactions on Knowledge Discovery from Data (CCF B), 2020.
[4]. Guoxian Yu, Jinzheng Tu+, Jun Wang*, Carlotta Domeniconi, Xiangliang Zhang. Active Multi-Label Crowd Consensus, IEEE Transactions on Neural Networks and Learning Systems (CCF B), 2020.
[5]. Guoxian Yu, Xuanwu Liu+, Jun Wang*, Carlotta Domeniconi, Xiangliang Zhang. Flexible Cross-Modal Hashing, IEEE Transactions on Neural Networks and Learning Systems (CCF B), 2020.
[6]. Jun Wang, Xing Wang+, Guoxian Yu*, Carlotta Domeniconi, Zhiwen Yu, Zili Zhang. Discovering Multiple Co-Clusterings with Matrix Factorization, IEEE Transactions on Cybernetics (CCF B), 2020.
[7]. Qiaoyu Tan+, Guoxian Yu*, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang. Individuality and Commonality based Multi-View Multi-Label Learning, IEEE Transactions on Cybernetics (CCF B), 2020.[8]. Xuanwu Liu+, Guoxian Yu*, Carlotta Domeniconi, Jun Wang, Guoqiang Xiao, Maozu Guo. Weakly-supervised Cross-modal Hashing, IEEE Transactions on Big Data (CCF C), 2020.
[9]. Guangjin Ou+, Guoxian Yu*, Carlotta Domeniconi, Xuequan Lu, Xiangliang Zhang. Multi-label Zero-Shot Learning with Graph Convolutional Networks, Neural Networks (CCF B), 2020, 137: 333-341.
[10]. 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 B), 2020.
[11]. Guoxian Yu, Yuehui Wang+, Jun Wang*, Carlotta Domeniconi, Maozu Guo, Xiangliang Zhang. Attributed Heterogeneous Network Fusion via Collaborative Matrix Tri-factorization, Information Fusion (CCF B), 2020, 63: 153-165.
[12]. Keyao Wang+, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang, Guoxian Yu*. Differentiating isoform functions with collaborative matrix factorization, Bioinformatics (CCF B), 2020, 36(6): 1864–1871.
[13]. Guoxian Yu, Keyao Wang+, Carlotta Domeniconi, Maozu Guo*, Jun Wang*. Isoform function prediction based on bi-random walks on a heterogeneous network, Bioinformatics (CCF B), 2020, 36(1): 303-310.
[14]. Guoxian Yu*, Yuan Jiang, Jun Wang, Hao Zhang, Haiwei Luo*. BMC3C: Binning Metagenomic Contigs using Codon usage, sequence Composition and read Coverage, Bioinformatics (CCF B), 2018, 34(24): 4171-4179.
[15]. Guangyuan Fu+, Jun Wang, Carlotta Domeniconi, Guoxian Yu*. Matrix factorization based data fusion for the prediction of lncRNA-disease associations, Bioinformatics (CCF B), 2018, 34(9): 1529-1537.
[16]. Guangyuan Fu+, Jun Wang, Bo Yang, Guoxian Yu*. NegGOA: Negative GO Annotations Selection using Ontology Structure, Bioinformatics (CCF B), 2016, 32(19): 2996-3004.
[17]. 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 B), 2020.
[18]. 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 B), 2020, 36(1): 303-310.
[19]. 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 B), 2018, 15(4): 1390-1402.
[20]. 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 B), 2016, 13(2): 220-232.
[21]. 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 B), 2015, 12(1): 219-233.
[22]. 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 B), 2014, 11(3): 579-591.
[23]. 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 B), 2013, 10(4): 1045-1057.
[24]. 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 B), 2020, 36(1): 303-310.
[25]. Guoxian Yu*, Guoji Zhang, Zili Zhang, Zhiwen Yu, Lin Deng. Semi-Supervised Classification based on Subspace Sparse Representation, Knowledge and Information Systems (CCF B), 2015, 43 (1): 81-101.
[26]. Guoxian Yu*, Guoji Zhang, Carlotta Domeniconi, Zhiwen Yu and Jane You. Semi-Supervised Classification based on Random Subspace Dimensionality Reduction, Pattern Recognition (CCF B), 2012, 45(3): 1119-1135.
[27]. Yingwen Zhao+, Jun Wang, Jian Chen, Xiangliang Zhang, Maozu Guo*, Guoxian Yu*. A Literature Review of Gene Function Prediction by Modeling Gene Ontology, Frontier in Genetics, 2020, 11: 400.
[28]. 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 C), 2019, 20(S15): 547.
[29]. Guoxian Yu*, Chang Lu+, Jun Wang. NoGOA: predicting noisy GO annotations using evidences and sparse representation, BMC Bioinformatics (CCF C), 2017, 18: 350.
[30]. Guoxian Yu*, Hailong Zhu, Carlotta Domeniconi. Predicting Protein Function using Incomplete Hierarchical Labels, BMC Bioinformatics (CCF C), 2015, 16: 1.
[31]. Guoxian Yu*, Hailong Zhu, Carlotta Domeniconi, Jiming Liu. Predicting protein function via downward random walks on a gene ontology, BMC Bioinformatics (CCF C), 2015, 16: 271.
[32]. Guoxian Yu*, Wei Luo, Guangyuan Fu, Jun Wang. Interspecies gene function prediction using semantic similarity, BMC Systems Biology, 2016, 10: 361.
[33]. Guoxian Yu*, Hailong Zhu, Carlotta Domeniconi, Maozu Guo. Integrating Multiple Networks for Protein Function Prediction, BMC Systems Biology, 2015, 9(S1): S3.
[34]. 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.
[35]. Xia Chen+, Guoxian Yu*, Qiaoyu Tan, Jun Wang. Weighted Samples based Semi-Supervised Classification, Applied Soft Computing, 2019, 79: 46-58.
[36]. Jun Wang, Guangjun Yao, Guoxian Yu*. Semi-supervised classification by discriminative regularization, Applied Soft Computing, 2017, 58: 245-255.
[37]. 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.
[38]. 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, 2020, 173: 32-43. ESI.
[39]. 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.
[40]. 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.
[41]. 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.
[42]. 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.
[43]. 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.
[44]. 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.
[45]. 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.
[46]. 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.
[47]. 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.
[48]. 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.
会议论文
[1]. Guangyang Han+, Jinzheng Tu+, Guoxian Yu*, Jun Wang, Carlotta Domeniconi. Crowdsourcing with Multiple-Source Knowledge Transfer, 29th International Joint Conference on Artificial Intelligence (IJCAI) (CCF A), 2020, pp. 2908-2914.[2]. Yuying Xing+, Guoxian Yu*, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang. Weakly-Supervised Multi-view Multi-instance Multi-label Learning, 29th International Joint Conference on Artificial Intelligence (IJCAI) (CCF A), 2020, pp. 2908-2914.
[3]. Shichao Pei, Lu Yu, Guoxian Yu, Xiangliang Zhang. REA: Robust Cross-lingual Entity Alignment Between Knowledge Graphs, 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) (CCF A), 2020.
[4]. Shaowei Wei+, Jun Wang*, Guoxian Yu, Carlotta Domeniconi, and Xiangliang Zhang. Deep Incomplete Multi-View Multiple Clusterings, IEEE International Conference on Data Mining (ICDM) (CCF B).
[5]. Tingting Yu+, Guoxian Yu*, Jun Wang, Carlotta Domeniconi, and Xiangliang Zhang. Partial Multi-Label Learning using Label Compression, IEEE International Conference on Data Mining (ICDM) (CCF B).
[6]. Yuanlin Yang+, Guoxian Yu*, Jun Wang, Carlotta Domeniconi, and Xiangliang Zhang. Multi-type Objects Multi-view Multi-instance Multi-label Learning, IEEE International Conference on Data Mining (ICDM) (CCF B).
[7]. Tingting Yu+, Guoxian Yu*, Jun Wang and Maozu Guo. Partial Multi-label Learning with Label and Feature Collaboration, 25th International Conference on Database Systems for Advanced Applications (DASFAA) (CCF B), 2020.
[8]. 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 A), 2020, pp. 6348-6355.
[9]. Jinzheng Tu+, Guoxian Yu*, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang. Attention-Aware Answers of the Crowd, 20th SIAM Conference on Data Mining (SDM) (CCF B), 2020, pp. 451-459.
[10]. Shixin Yao+, Guoxian Yu*, Carlotta Domeniconi, Jun Wang, Xiangliang Zhang. Multi-View Multiple Clustering, 28th International Joint Conference on Artificial Intelligence (IJCAI) (CCF A), 2019, pp. 4121-4127.
[11]. 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 A), 2019, pp. 2123-2129.
[12]. Xing Wang+, Jun Wang*, Carlotta Domeniconix, Guoxian Yu, Guoqiang Xiao, Maozu Guo. Multiple Independent Subspace Clusterings, 33rd AAAI Conference on Artificial Intelligence (AAAI) (CCF A), 2019, pp. 5353-5360.
[13]. 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 A), 2019, pp. 5508-5515.
[14]. 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 A), 2019, pp. 4400-4407.
[15]. Zhao Li*, Xia Chen+, Xuming Pan, Pengcheng Zou, Yuchen Li, Guoxian Yu. SHOAL: Large-scale Hierarchical Taxonomy via Graph-based Query Coalition in E-commerce, 45th International Conference on Very Large Data Bases (VLDB) (CCF A), 2019, 12(12): 1858-1861.
[16]. 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.
[17]. 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 B), 2019, pp. 423-431.
[18]. 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 B), 2019, pp. 313-329.
[19]. Yuying Xing+, Guoxian Yu*, Carlotta Domeniconi, Jun Wang, Zili Zhang. Multi-Label Co-Training, 27th International Joint Conference on Artificial Intelligence (IJCAI) (CCF A), 2018, pp.2882-2888.
[20]. 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 A), 2018, pp.2703-2709.
[21]. 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 B), 2018, pp.517-526.
[22]. Xing Wang+, Guoxian Yu, Carlotta Domeniconi, Jun Wang*, Zhiwen Yu, and Zili Zhang. Multiple Co-Clusterings, International Conference on Data Mining (ICDM) (CCF B), 2018, pp. 1308-1313.
[23]. 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 B), 2018, pp. 905-910.
[24]. 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 B), 2018, pp. 1398-1403.
[25]. 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 B), 2018, pp. 450-458.
[26]. Jie Zeng+, Guoxian Yu*, Jun Wang, Maozu Guo, Xiangliang Zhang. DMIL-III: Isoform-Isoform Interaction Prediction using Deep Multi-Instance Learning method. IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (CCF B), 2019, pp. 171-176.
[27]. Guangjie Zhou+, Jun Wang, Xiangliang Zhang, and Guoxian Yu*. DeepGOA: Predicting Gene Ontology Annotations of Proteins via Graph Convolutional Network, IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (CCF B), 2019, pp. 1836-1841.
[28]. Guoxian Yu, Yuehui Wang, Jun Wang*, Guangyuan Fu, Maozu Guo, Carlotta Domeniconi. Weighted Matrix Factorization based Data Fusion for Predicting lncRNA-disease Associations. IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (CCF B), 2018, pp. 572-577.
[29]. 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 C), 2018, pp. 508-517
[30]. 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 C), 2017, pp. 688-698.
[31]. 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 A), 2013, pp.1869-1875.
[32]. 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 B), 2013, pp. 574-589.
[33]. 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 A), 2012, pp. 1077-1085.
本人研究生从事的工作领域
任职于互联网公司（阿里巴巴，腾讯等），银行，事业单位及高校。
