职称：山东大学教授、硕士生导师    

 联系方式： kingjun@sdu.edu.cn; wjkingjun@gmail.com

 个人经历：

 2020-6至今 山东大学，山东大学-南洋理工大学人工智能国际联合研究院,教授

 2015-1至2015-3, 香港浸会大学,计算机科学系, 访问学者

 2013-7至2020-6, 西南大学, 计算机与信息科学学院, 副教授

 2013-8至2014-8, 美国罗彻斯特大学, 生物统计与计算生物系, 访问学者

 2010-7至2013-6, 西南大学, 计算机与信息科学学院, 特聘副教授

 2006-9至2010-7, 哈尔滨工业大学,人工智能与信息处理,工学博士

 2004-9至2006-7, 哈尔滨工业大学, 计算机科学与技术, 工学硕士

 2000-9至2004-7, 哈尔滨工业大学, 计算机科学与技术, 工学学士

个人简介

王峻，女，工学博士，山东大学教授，硕士生导师。中国计算机学会高级会员（人工智能与模式识别专委会委员、生物信息学专委会委员），中国人工智能学会会员（生物信息学与人工生命专委会委员，机器学习专委会通讯委员），IEEE/ACM会员，中国生物工程学会会员。IJCAI, AAAI, ECML, SDM和BIBM等国际国内重要会议程序委员会委员（Senior/Program Committee）；Nature Communications, TNNLS,TCYB, TII, TCBB, Bioinformatics, BiB, 自动化学报，计算机学报，电子学报等多个国内外著名期刊审稿人。先后主持(完成)国家自然科学基金3项，重庆市自然科学基金1项。获得重庆市科技奖励（科技进步/自然科学）三等奖各1项（2018/2019）。在国内外主流会议和期刊(AAAI, IJCAI, TNNLS, TCYB, Bioinformatics, BiB, TCBB, 计算机学报, 软件学报等)发表论文100余篇。

研究方向

机器学习（大规模数据特征选择，复杂数据聚类分析，基于深度学习的数据分析）；数据挖掘（多源数据整合分析、多维数据网络构建与模式挖掘，大规模数据的并行分析）；生物信息处理与分析（面向复杂疾病的生物特征识别，遗传交互作用识别，多组学数据遗传关联分析）等

科研项目  

1.国家自然科学基金（面上），癌症跨性状协同驱动通路识别研究（主持，2021-2024）

2.国家自然科学基金（面上）, 基于多层次数据整合的复杂疾病遗传关联分析方法研究（主持，2019-2019）

3.国家自然科学基金（青年基金），基于概率图与自适应聚类的混合特征种群结构推断方法研究（主持，2012-2014）

4.重庆市基础与前沿研究项目（面上），蛋白质不相关功能标注预测模型研究与应用（主持，2016-2019）

期刊论文

[1]. 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, In Print.

[2]. 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, In Print.

[3]. 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.

[4]. 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.

[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, In Print.

[6]. 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, In Print.

[7]. 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, In Print.

[8]. 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 B), 2020, In Print.

[9]. 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.

[10]. Xia Cao, Guoxian Yu, Wei Ren, Maozu Guo, Jun Wang*. DualWMDR: detecting epistatic interaction with dual screening and multifactor dimensionality reduction, Human Mutation, 2020, 41(3): 719-734.

[11]. Lin Jiang, Guoxian Yu, Maozu Guo*, Jun Wang*. Feature selection with missing labels based on label compression and local feature correlation, Neurocomputing (CCF C), 2020, 395: 95-106.

[12]. Long Zhang, Guoxian Yu, Dawen Xia, Jun Wang*. Protein-Protein Interactions Prediction based on Ensemble Deep Neural Networks, Neurocomputing (CCF C), 2019, 324: 10-19.

[13]. Qiaoyu Tan, Yanming Yu, Guoxian Yu, Jun Wang*. Semi-supervised multi-label classification using incomplete label information, Neurocomputing (CCF C), 2017, 260: 192-202.

[14]. Long Zhang, Guoxian Yu, Maozu Guo, Jun Wang*. Predicting protein-protein interactions using high-quality non-interacting pairs, BMC Bioinformatics (CCF C), 2018, 19(S19): 525.

[15]. 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.

[16]. Jun Wang, Guangjun Yao, Guoxian Yu*. Semi-supervised classification by discriminative regularization, Applied Soft Computing, 2017, 58: 245-255.

[17]. 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.

[18]. Jie Liu, Guoxian Yu, Yuan Jiang, Jun Wang*. HiSeeker: Detecting High-Order SNP Interactions Based on Pairwise SNP Combinations, Genes, 2017, 8(6): 153.

[19]. Xia Cao, Jie Liu, Maozu Guo, Jun Wang*. HiSSI: high-order SNP-SNP interactions detection based on efficient significant pattern and differential evolution, BMC Medical Genomics, 2019, 12(S7): 139.

[20]. 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.

[21]. 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.

[22]. 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.

[23]. 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.

[24]. Guoxian Yu, Xianxue Yu, Jun Wang*. Network-aided Bi-Clustering for discovering cancer subtypes, Scientific Reports, 2017, 7: 1046.

[25]. Xianxue Yu, Guoxian Yu, Jun Wang*. Clustering cancer gene expression data by projective clustering ensemble, PLoS ONE, 2017, 12(2): e0171429.

[26]. Guoxian Yu, Yingwen Zhao, Chang Lu, Jun Wang*. HashGO: Hashing Gene Ontology f protein function prediction, Computational Biology Chemistry, 2017, 71:264-273.

[27]. Jie Liu, Jun Wang*, Guoxian Yu. Protein Function Prediction by Random Walks on a Hybrid Graph, Current Proteomics, 2016, 13(2): 130-142.

[28]. 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.

[29]. 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.

[30]. 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.

会议论文

[1]. 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.

[2]. 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), In Print.

[3]. Xing Wang, Jun Wang*, Carlotta Domeniconi, Guoxian Yu, Guoqiang Xiao, Maozu Guo. Multiple Independent Subspace Clusterings, 33rd AAAI Conference on Artificial Intelligence (AAAI) (CCF A), 2019, pp. 5353-5360.

[4]. 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.

[5]. 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.

[6]. 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) (CCF B), 2019, pp. 165-170.

[7].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) (CCF B), 2018, pp. 572-577.

[8]. Huiling Zhang, Guoxian Yu, Wei Ren, Maozu Guo and Jun Wang*. EpIntMC: detecting epistatic interactions using multiple clusterings, 16th International Symposium on Bioinformatics Re

本人研究生从事的工作领域

任职于互联网公司（阿里巴巴，浪潮等），银行，事业单位及高校。