Publication


Years:[all][2017][2016][2015][2014][2013][2012][2011][2010] [2009]

All


    2017


  • Qiaoyu Tan, Yezi Liu, Xia Chen, Guoxian Yu. Multi-Label Classification Based on Low Rank Representation for Image Annotation. Remote Sensing, 9(2), 109, 2017.

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

  • 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, Online, Inprint

  • Guoxian Yu, Xianxue Yu, Jun Wang Network-aided Bi-Clustering for discovering cancer subtypes. Scientific Report, 7: 1046, 2017

  • Qiaoyu Tan, Yanming Yu, Guoxian Yu, Jun Wang Semi-Supervised Multi-Label Classification using Incomplete Label Information. Neurocomputing, In Print

  • Xia Chen, Chang Lu, Guoxian Yu Semi-Supervised Classification based on Clustering Adjusted Similarity. International Journal of Computers and Applications, In Print

  • Jun Wang, Guangjun Yao, Guoxian Yu Semi-Supervised Classification by Discriminative Regularization. Applied Soft Computing, In Print

  • Guoxian Yu, Yingwen Zhao, Chang Lu, Jun Wang HashGO: Hashing Gene Ontology for protein function prediction. Computational Biology and Chemistry, In Print

  • Jie Liu, Guoxian Yu, Yuan Jiang, Jun Wang* HiSeeker: detecting high-order SNP interactions based on pairwise SNP. MDPI Genes, 2017

  • 2016


  • Guangyuan Fu, Jun Wang, Bo Yang, Guoxian Yu. NegGOA: Negative GO Annotations Selection using Ontology Structure. Bioinformatics, 32(19): 2996-3004, 2016.

  • Guoxian Yu, Guangyuan Fu, Jun Wang, Hailong Zhu. Protein Function Prediction via Semantic Integration of Multiple Networks. IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), 13(2): 220-232, 2016.

  • Guoxian Yu, Wei Luo, Guangyuan Fu, Jun Wang. Interspecies gene function prediction using semantic similarity. BMC Systems Biology, 10: 361, 2016.

  • 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, 2016.

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

  • 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, 2016.

  • 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):461-465, 2016.

  • Yuan Jiang, Yuliang Liao, Guoxian Yu Affinity Propagation Clustering Using Path Based Similarity. Algorithms, 9(3), 46, 2016

  • Xuan Hou, Guangjun Yao, Jun Wang Semi-Supervised Classification based on Low Rank Representation. Algorithms, 9(3), 48, 2016

  • Guoxian Yu, Lei Feng, Guangjun Yao, Jun Wang Semi-supervised classification using multiple clusterings. Pattern Recognition and Image Analysis, 26(4): 681-687, 2016

  • 2015


  • Guoxian Yu, Hailong Zhu, Carlotta Domeniconi. Predicting Protein Function using Incomplete Hierarchical Labels. BMC Bioinformatics, 16(1), 2015.

  • Guoxian Yu, Hailong Zhu, Carlotta Domeniconi, Maozu Guo. Integrating Multiple Networks for Protein Function Prediction. BMC Systems Biology, 9(S1): S3, 2015.

  • Guoxian Yu, Huzefa Rangwala, Carlotta Domeniconi, Guoji Zhang, Zili Zhang. Predicting Protein Function using Multiple Kernels. IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), 12(1): 219-233, 2015.

  • Guoxian Yu, Guoji Zhang, Zili Zhang, Zhiwen Yu, Lin Deng. Semi-Supervised Classification based on Subspace Sparse Representation. Knowledge and Information Systems, 43 (1): 81-101, 2015.

  • Lei Feng, Guoxian Yu Semi-Supervsied Classification using Mixture Graph. Algorithms, 8(4): 1021-1034, 2015

  • Guoxian Yu, Hailong Zhu, Carlotta Domeniconi, Jiming Liu Predicting protein function via downward random walks on a gene ontology. BMC Bioinformatics, 16: 271

  • 2014


  • Guoxian Yu, Huzefa Rangwala, Carlotta Domeniconi, Guoji Zhang, Zhiwen Yu. Protein Function Prediction with Incomplete Annotations. IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), 11(3): 579-591, 2014.

  • Yazhou Ren, Carlotta Domeniconi, Guoji Zhang, Guoxian Yu. A Weighted Adaptive Mean Shift Clustering Algorithm. SIAM Conference on Data Mining, 2014.

  • Zhiwen Yu, Le Li, Hau-San Wong, Jane You, Guoqiang Han, Yunjun Guo, Guoxian Yu. Probabilistic Cluster Structure Ensemble. Information Sciences, 267:16-34, 2014.

  • 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, 9:481-489,2014.

  • 2013


  • 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 (TCBB), 10 (4): 1045-1057, 2013.

  • Guoxian Yu, Carlotta Domeniconi, Huzefa Rangwala, Guoji Zhang. Protein Function Prediction using Dependence Maximization. Proceedings of the ECML/PKDD(23rd European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases), 2013.

  • Yazhou Ren, Carlotta Domeniconi, Guoji Zhang, Guoxian Yu. Weighted-Object Ensemble Clustering. Proceedings of IEEE International Conference on Data Mining (ICDM), 2013.

  • Jun Wang, Le Zhang, Chengyang Jing, Gang Ye, Hulin Wu, Hongyu Miao, Yukun Wu and Xiaobo Zhou. Multi-scale Agent-based Modeling on melanoma and its related angiogenesis analysis. Theoretical Biology and Medical Modelling, 10:41,2013

  • Jun Wang, Yong Sun. A Sliding Window and Keyword Tree Based Algorithm for Multiple Sequence Alignment. The 9th International Conference on Fuzzy Systems and Knowledge Discovery, 3: 1109-1113,2013

  • Guoxian Yu,Huzefa Rangwala, Carlotta Domeniconi, Guoji Zhang, Zili Zhang. Protein Function Prediction by Integrating Multiple Kernels. Proceedings of the 23rd IJCAI (International Joint Conference on Artificial Intelligence), 2013.

  • 2012


  • 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 (Knowledge Discovery and Data Mining), 2012.

  • Guoxian Yu, Guoji Zhang, Huzefa Rangwala, Carlotta Domeniconi, Zhiwen Yu. Protein Function Prediction using Weak-label Learning. Proceedings of 3rd ACM Conference on Bioinformatics, Computational Biology and Biomedicine (ACM BCB), 2012.

  • Guoxian Yu, Guoji Zhang, Carlotta Domeniconi, Zhiwen Yu and Jane You. Semi-Supervised Classification based on Random Subspace Dimensionality Reduction. Pattern Recognition, 45(3): 1119-1135, 2012.

  • Guoxian Yu, Guoji Zhang, Zhiwen Yu, Carlotta Domeniconi, Jane You and Guoqiang Han. Semi-Supervised Ensemble Classification in Subspaces, Applied Soft Computing. Applied Soft Computing, 12(5) :1511-1522, 2012.

  • Yazhou Ren, Guoji Zhang, Guoxian Yu, Xuan Li. Local and Global Structure Preserving based Feature Selection. Neurocomputing, 89: 147-157,2012

  • Zhiwen Yu, Hau-San Wong, Jane You, Guoxian Yu and Guoqiang Han. Hybrid Cluster Ensemble Framework based on the Random Combination of Data Transformation Operators. Pattern Recognition, 45(5):1826-1837, 2012.

  • 2011


  • Guoxian Yu, Hong Peng, Jia Wei and Qianli Ma. Enhanced Locality Preserving Projections with Robust Path based Similarity. Neurocomputing, 74(4): 598-605.2011.

  • Guoxian Yu, Zhiwen Yu, Jing Hua, Xuan Li and Jane You. Sparse Representation based Spectral Regression. in Proceedings of the IEEE 10th International Conference on Machine Learning and Cybernetic (ICMLC), 532-537.Best Student Paper (2/500).

  • Guoxian Yu, Guoji Zhang, Jia Wei, Yazhou Ren. A multi graphs based transductive ensemble classification method. Journal of Electronic and Information Technology (SDM), 31(8): 1883-1888,2012.

  • 2010


  • Guoxian Yu, Hong Peng, Jia Wei and Qianli Ma. Mixture Graph based Semi-Supervised Dimensionality Reduction. Pattern Recognition and Image Analysis, 20 (4): 536-541,2010

  • Jun Wang, Quan Zou, Maozu Guo. Mining SNPs from EST Sequences Using Filters and Ensemble Classifiers. Genetics and Molecular Research, 9(2): 820-834,2010

  • Jun Wang, Mao-zu Guo. SNPs and Entropy based Hierarchical Clustering Method for Genetic Phylogeny Analysis. 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD?10, 5: 2229-2233,2010

  • Jun Wang, Mao-zu Guo. A Graph and Hierarchical Clustering based Approach for Population Structure Inference. 2010 ACM International Conference on Bioinformatics and Computational Biology, ACM-BCB 2010. 346-349.

  • 邹权,郭茂祖,刘扬,王峻. 类别不平衡的分类方法及在生物信息学中的应用. 计算机研究与发展, 47(8):1407-1414,2010.

  • 2009


  • Guoxian Yu, Hong Peng, Qianli Ma and Jia Wei. Robust Path Based Semi-Supervised Dimensionality Reduction. in Proceedings of the IEEE 6th International Conference on Information and Automation (ICIA), 1258-1263,2009

  • Jun Wang, Mao-zu Guo, Chun-yu Wang. CGTS: A Site-clustering Graph Based TagSNP Selection Algorithm in Genotype Data. BMC Bioinformatics, 10(1):S71,2009

  • Mao-Zu Guo, Jun Wang, Chun-yu Wang, Yang Liu. A Hybrid Clustering and Graph Based Algorithm for TagSNP Selection. Soft Computing, 13(12):1143-1151,2009.

  • 王峻, 郭茂祖, 邹权. 基于线粒体SNP的疾病人群分类方法研究. 2009中国计算机大会, CNCC 2009. 天津. 739-746.

  • 2008


  • Jun Wang,Maozu Guo,Juan Chen,Yang Liu. TagSNPs Selection Using Maximum Density Subgraph. The Fourth International Conference on Natural Computation, 5:128-132,2008.

  • 2007


  • 王峻, 郭茂祖. 转录因子结合位点识别算法的研究. 电子学报, 35(12):83-89,2007