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余志文 Zhiwen Yu
教授,博士生导师

CCF理事,CCF杰出会员,  IEEE, ACM,IRSS, CAAI 高级会员
Mail: 广州大学城华南理工大学计算机科学与工程学院 510006     Office:B3-102
Email: zhwyu@scut.edu.cn         URL: http://www.hgml.cn/yuzhiwen

English

​个人简介:


工作经历

2015.09 -  至今        华南理工大学计算机科学与工程学院   教授、博导

2013.09 - 2016.08   中山大学国家数字家庭工程技术研究中心 兼职教授

                                机器智能与先进计算教育部重点实验室  兼职教授

2014.06 -  至今        华南理工大学计算机科学与工程学院   博士生导师
2012.05 -  2015.08   华南理工大学计算机科学与工程学院   教授(先上岗)
2010.09 - 2012.05    华南理工大学计算机科学与工程学院   副教授,硕士生导师
2009.04 - 2010.08 华南理工大学计算机科学与工程学院   讲师

研究经历

2015.03 - 2015.06,香港理工大学,电子计算机系,Research fellow

2013.03 - 2015.02,香港浸会大学,计算机系,Postdoctoral research fellow(合作老师:刘际明教授)

2011.04 - 2013.02,香港理工大学,电子计算机系(生物特征识别中心),Postdoctoral research fellow(合作老师:尤佳教授)
2009.04 - 2010.01,香港城市大学,计算机系,Research fellow
2008.03 - 2008.08,香港城市大学,计算机系,Research fellow
2008.01 - 2008.02,香港城市大学,计算机系,Senior research associate
2005.01 - 2008.02,香港城市大学,计算机系,PhD、research assistant

人才项目
2014年 广东高校“千百十人才培养计划”省级培养对象
2013年 广东省自然科学基金杰出青年基金获得者

2012年 香江学者计划

2012年 华南理工大学杰出人才培养计划(第一批)–优秀青年学者

2011年 教育部新世纪优秀人才支持计划


社会兼职

CCF理事(2016-2020)

IEEE、ACM、IRSS、CCF、CAAI高级会员 (注:IRSS为国际粗糙集学会,CCF为中国计算机学会,CAAI为中国人工智能学会

2015-2016 CCF YOCSEF广州分论坛主席

2015-2017 CCF 广州分会 委员

IEEE Computational Intelligence Society “Data Mining and Big Data Analytics”委员会委员

中国计算机学会人工智能与模式识别专委会委员

中国计算机学会多媒体技术专委会委员
中国计算机学会数据库专委会委员
中国计算机学会计算机视觉专委会委员
中国计算机学会青年工作委员会通讯委员
中国人工智能学会机器学习专委会委员
中国人工智能学会粗糙集与软计算专委会委员

中国人工智能学会知识工程与分布智能专委会委员

国内CCF会刊《计算机应用》编委


学术兼职

期刊:担任众多国际知名顶级期刊审稿人,如:TPAMI、TKDE、TEC、TNNLS、TCYB、TCBB、TMM、TNBS、PR、INS、等等。

会议:担任多个国际和国内会议的分会主席或程序委员会成员(Section chair or program committee member), 如:ICMLC2011、ICMLC2012、IIBM2011、IIBM2012、CCFAI2013、HHME2014、CCDM2014、ACML2014、CRSSC-CWI-CGrC 2014、CRSSC-CWI-CGrC 2015、CCFAI2015、CCML2015、NCIIP 2015、ICDM2015、IJCAI2015、ACML2015、PRICAI 2016、IJCNN2016、CCDM2016、等等。

项目:国家自然科学基金项目同行通讯评议专家、CCF优博评审专家、广东省自然科学基金项目同行通讯评议专家、广东省和广州市相关科技项目评审专家

论文和项目概况
论文:已经发表学术论文100多篇,共45篇SCI索引期刊论文(第一作者或通讯作者23篇),85篇EI索引论文(第一作者或通讯作者56篇),其中20篇IEEE Transactions系列(第一作者或通讯作者14篇),CCF B类期刊及以上19篇(第一作者或通讯作者14篇),国际论文“SPARSE REPRESENTATION BASED SPECTRAL REGRESSION”获得国际会议ICMLC2011最佳论文奖(the Lotfi Zadeh Best Paper Award)。
项目:主持和参与项目23项,其中主持省部级及以上科研项目10项

研究兴趣:机器学习、数据挖掘,人工智能、生物信息学、多媒体

讲授课程:数据库、数据挖掘

获奖:
1. 与余国先博士合作的国际会议论文“Sparse Representation Based Spectral Regression”获得最佳论文奖Lotfi Zadeh Best Paper Awards in ICMLC and ICWAPR 2011.

2. 2015年,广东省计算机学会科学技术奖“视觉计算关键理论研究与应用”,一等奖,排名第三

3. 2014年,广东省高等教育教学成果奖“计算机科学与技术创新人才培养模式的探索与实践”,一等奖,排名第四.

4. ACM-China & CCF广州分会新星奖










论文:


SCI期刊论文列表

  1. Zhiqiang Wang, Zhiwen Yu, C. L. Philip Chen, Jane You, Tianlong Gu Hau-San Wong,  Jun Zhang, “Clustering by Local Gravitation”,  IEEE Transactions on Cybernetics, 2017.
  2. Zhiwen Yu, Zongqiang Kuang, Jiming  Liu, Hongsheng Chen, Jun Zhang, Jane You, Hau-San Wong, Guoqiang Han,“Adaptive ensembling of semi-supervised clustering solutions”,IEEE Transactions on Knowledge and Data Engineering, 2017.
  3. Zhiwen Yu,Ye Lu, Jun Zhang,Jane You,Hau-San Wong, Yide Wang, Guoqiang Han, "Progressive semi-supervised learning of multiple classifiers", IEEE Transactions on Cybernetics, 2017. (Accepted)
  4. Zhiwen Yu,  Zhiqiang Wang, Jane You, Jun Zhang, Jiming Liu, Hau-San Wong, and Guoqiang Han, "A New Kind of Nonparametric Test for Statistical Comparison of Multiple Classifiers Over Multiple Datasets", IEEE Transactions on Cybernetics, 2016 (DOI: 10.1109/TCYB.2016.2611020)
  5. Zhiwen Yu, Xianjun Zhu, Hau-San Wong, Jane You, Jun Zhang, Guoqiang Han, “Distribution based Cluster Structure Selection”,  IEEE Transactions on Cybernetics, 2016 (DOI: 10.1109/TCYB.2016.2569529​).
  6.  Zhiwen Yu, Peinan Luo, Jane You, Hau-San Wong, Hareton Leung, Si Wu, Jun Zhang, Guoqiang Han,"Incremental Semi-supervised Clustering    Ensemble for High Dimensional Data Clustering", IEEE Transactions on  Knowledge and Data Engineering, vol. 28, no. 3, pp. 701-714, 2016.
  7. Zhiwen Yu, Le Li,  Jiming Liu, Jun Zhang, Guoqiang Han, "Adaptive Noise Immune Cluster Ensemble Using Affinity Propagation", IEEE Transactions on  Knowledge and Data Engineering, vol. 27, no. 12, pp. 3176-3189, 2015.
  8. Zhiwen Yu, Hantao Chen, Jane You, Hareton Leung, Jiming Liu, Guoqiang Han, “Hybrid K Nearest Neighbor Classifier”,  IEEE Transactions on Cybernetics, vol. 46, no. 6, pp. 1263-1275, 2016.
  9.  Zhiwen Yu, Hantao Chen, Jane You, Hau-San Wong, Jiming Liu, Guoqiang Han, Le Li, "Adaptive Fuzzy Consensus Clustering Framework for  Clustering Analysis of Cancer Data", IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 12, no. 3, pp. 568-582, 2015.
  10.  Zhiwen Yu, Le Li, Jiming Liu, Guoqiang Han, "Hybrid Adaptive Classifier Ensemble", IEEE Transactions on Cybernetics, vol. 42, no. 2, pp. 177-190. 2015.
  11.  Zhiwen Yu, Hongsheng Chen, Jane You, Hau-San Wong, Jiming Liu, Le Li, Guoqiang Han, "Double Selection based Semi-Supervised Clustering Ensemble for Tumor Clustering from Gene Expression Profiles", IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 11, no. 4, pp. 727-740, 2014 .
  12.  Zhiwen Yu, Hantao Chen, Jane You, Guoqiang Han, Le Li, "Hybrid Fuzzy Cluster Ensemble Framework for Tumor Clustering from Bio-molecular Data", IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 10, no. 3, pp. 657-670, 2013.  
  13.  Zhiwen Yu, Le Li, Jane You, Guoqiang Han, "SC3: Triple spectral clustering based consensus clustering framework for class discovery from cancer gene expression profiles", IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol.9, no.6, pp.1751-1765, 2012. 
  14. Zhiwen Yu, Jane You, Le Li, Hau-San Wong, Guoqiang Han, "Representative distance: a new similarity measure for Class Discovery from Gene Expression Data", IEEE Transactions on NanoBioScience , vol.11, no.4, pp.341-351, 2012
  15. Zhiwen Yu, Hau-San Wong, Dingwen Wang, Ming Wei, “Neighborhood Knowledge-based Evolutionary Algorithm for Multiobjective Optimization Problems”, IEEE Transactions on Evolutionary Computation, Vol.15, no.6, pp. 812-831, 2011. 
  16.  Zhiwen Yu, Hau-San Wong, Jane You, Qinmin Yang, Hongying Liao, “Knowledge based Cluster Ensemble for Cancer Discovery from Biomolecular Data”, IEEE Transactions on NanoBioScience, vol.10, no.2, pp.76-85, 2011 
  17. Zhiwen Yu, Zhongkai Deng, Hau-San Wong, and Lirong Tan. “Identifying Protein Kinase-specific Phosphorylation Sites Based on the Bagging-Adaboost Ensemble Approach.” IEEE Transactions on NanoBioScience, Vol.9, no.2, pp.132-143, 2010.
  18. Zhiwen Yu, Hau-San Wong. “Class Discovery from Gene Expression Data based on Perturbation and Cluster Ensemble”. IEEE Transactions on NanoBioScience, Vol.8, no.2, pp.147-160, 2009.
  19.  Zhiwen Yu, and Hau-San Wong. “A rule based technique for extraction of visual attention regions based on real-time clustering”. IEEE Transactions on Multimedia. vol.9, no. 4, pp. 766-784, June, 2007.
  20. Si Wu, Hau-San Wong, and Zhiwen Yu, "A Bayesian Model for Crowd Escape Behavior Detection", IEEE Transactions on Circuits and Systems for Video Technology, vol. 24, no. 1, pp. 85-98, 2014.
  21. .Xian-Fa Cai, Jia Wei, Guihua Wen, Zhiwen Yu, "Local and Global Preserving Semisupervised Dimensionality Reduction Based on Random Subspace for Cancer Classification", IEEE Journal of Biomedical and Health Informatics (原TITB), vol. 18, no. 2, pp. 500-507, 2014.
  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, vol. 11, no. 3, pp. 579-591, 2014. 
  23. Guoxian Yu, Carlotta Domeniconi, Huzefa Rangwala, Guoji Zhang, Zhiwen Yu, “Protein Function Prediction using Multilabel Ensemble Classification”, IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 10, no. 4, pp. 1045-1057, 2013. 
  24. Shaohong Zhang, Hau-San Wong, Zhiwen Yu, and Horace H.S. Ip. “Hybrid Associative Retrieval of Three-Dimensional Models”. IEEE Transactions on Systems, Man and Cybernetics -Part B: Cybernetics. Vol.40, no.6, pp.1582-1595, 2010.
  25. Hau San Wong, Bo Ma, Zhiwen Yu, Pui Fong Yeung, and Horace H.S. Ip. “3D Head Model Retrieval Using a Single Face View Query”. IEEE Transactions on Multimedia. vol. 9, no. 5, pp. 1026-1036, 2007.
  26. Zhiwen Yu, Daxing Wang, Jane You, Hau-San Wong, Si Wu, Jun Zhang, Guoqiang Han, "Progressive Subspace Ensemble Learning", Pattern Recognition, vol. 60, pp. 692-705, 2016.
  27.  Zhiwen Yu, Le Li, Yunjun Gao, Jane You, Jiming Liu, Hau-San Wong, Guoqiang Han, "Hybrid Clustering Solution Selection Strategy", Pattern Recognition, vol. 47, no. 10, pp. 3362-3375, 2014.
  28. Zhiwen Yu, Hau-San Wong, Jane You, Guoxian Yu, Guoqiang Han, “Hybrid Cluster Ensemble Framework based on the Random Combination of Data Transformation Operators”, Pattern Recognition, vol. 45, issue 5, pp.1826-1837, 2012.
  29. Guoxian Yu, Guoji Zhang, Carlotta Domeniconi, Zhiwen Yu, Jane You, “Semi-Supervised Classification based on Random Subspace Dimensionality Reduction”, Pattern Recognition, vol. 45, issue. 3, pp. 1119-1135, 2012.
  30.  Zhiwen Yu, and Hau-San Wong. “Quantization-based Clustering Algorithm”. Pattern Recognition. Vol.43, Issue 8, pp.2698-2711, 2010.
  31.  Zhiwen Yu, Le Li, Hau-San Wong, Jane You, Guoqiang Han, Yunjun Gao, Guoxian Yu, "Probabilistic Cluster Structure Ensemble", Information Sciences,vol. 267, 16-34, 2014.
  32. Zhiwen Yu, Jane You, Hau-San Wong, Guoqiang Han, "From Cluster Ensemble to Structure Ensemble", Information Science, vol.168, pp. 81-99, 2012.
  33. Zhiwen Yu, Hau-San Wong, Jane You, Guoqiang Han, “Visual query processing for efficient image retrieval using a SOM-based filter-refinement scheme”, Information Science, vol.203, pp.83-101, 2012. 
  34. Zhiwen Yu, Hau-San Wong and Hongqiang Wang, “Graph-based consensus clustering for class discovery from gene expression data”, Bioinformatics, 23, pp. 2888-2896, 2007.
  35. Ying Shen, Hau-San Wong, Shaohong Zhang, Zhiwen Yu, “Feature-based 3D Motif Filtering for Ribosomal RNA”, Bioinformatics, vol.27,  issue.20, pp. 2828-2835, 2011.
  36. Zhiwen Yu, Hau-San Wong, Hong Peng, Qianli Ma, “ASM: An Adaptive Simplification Method for 3D Point-based Models”, Computer Aided Design, vol. 42, issue 7, pp. 598-612, 2010.
  37. Zhiwen Yu, Hau-San Wong, Guihua Wen, “A Modified Support Vector Machine and Its Application to Image Segmentation”, Image and Vision Computing, vol.29, issue 1, pp.29-40, 2011.
  38.  Zhiwen Yu, Jiming Liu, Xianjun Zhu, "Inferring a District-based Hierarchical Structure of Social Contacts from Census Data", plos one, 10 (2), e0118085, 2015. doi: 10.1371/journal.pone.0118085.
  39. Zhiwen Yu, Jiming Liu, Xiaowei Wang, Xianjun Zhu, Daxing Wang, Guoqiang Han, "Efficient Vaccine Distribution Based on a Hybrid Compartmental Model", plos one, 2016. 
  40. Guoxian Yu, Guoji Zhang, Zhiwen Yu, Carlotta Domeniconid, Jane You, Guoqiang Han, "Semi-Supervised Ensemble Classification in Subspaces", Applied Soft Computing, vol. 9, no. 5, pp. 1026-1036, 2012.
  41. Guihua Wen, Jun Wen, Jia Wei, Lijun Jiang, Zhiwen Yu, “Perceptual Relativity-based Local Hyperplane”, Neurocomputing, vol. 97, pp.155-163, 2012. 
  42.  X. Liu, S. Tang, Qiong Huang, Zhiwen Yu, "An ontology-based approach to automated trust negotiation", Computer Standards & Interfaces, vol.36, no.1, pp. 219-230, 2013. 
  43.  Haisheng Li, Guihua Wen, Zhiwen Yu, Tiangang Zhou, "Random subspace evidence classifier", Neurocomputing 110, pp. 62-69, 2013.
  44. Xianfa Cai, Guihua Wen, Jia Wei, Jie Li, Zhiwen Yu, "Perceptual relativity-based semi-supervised dimensionality reduction algorithm", Applied Soft Computing, vol.16, pp.112–123, 2014.
  45.  Qianli Ma, Weibiao Chen, Jia Wei, Zhiwen Yu, "Direct Model of Memory Properties and the Linear Reservoir Topologies in Echo State Networks", Applied Soft Computing, vol. 22, pp. 622-628, 2014. 2014.
  46.  Xian-Fa Cai, Guihua Wen, Jia Wei, Zhiwen Yu, "Relative manifold based semi-supervised dimensionality reduction", Frontiers of Computer Science, vol. 8, no. 6, pp. 923-932, 2014.
  47.  Guoxian Yu, Guoji Zhang, Zili Zhang, Zhiwen Yu, Lin Deng, "Semi-Supervised Classification based on Subspace Sparse Representation", Knowledge and Information Systems, vol. 43, no. 1, pp. 81-101 2015.
  48.  Jianming Lv, Zhiwen Yu, Tieying Zhang, "Towards An Immunity Based Distributed Algorithm to Detect Harmful Files Shared in P2P Networks", Peer-to-Peer Networking and Applications, vol. 8, no. 1, pp. 49-62, 2015. 
  49.  Delei Liu, Yong Xu, Yuhui Quan, Zhiwen Yu, Patrick Le Callet, "Reduced reference image quality assessment using regularity of radon representation", Signal Processing, vol. 110, pp. 211-221, 2015.  
  50.  Chaoqun Hong, Jun Yu, You Jane, Zhiwen Yu, Xuhui Chen, Three-Dimensional Image-Based Human Pose Recovery with Hypergraph Regularized Autoencoders, Multimedia Tools and Applications, pp. 1-19, 2016 (DOI: 10.1007/s11042-016-3312-7 ).
  51. Dingwen Wang, Shilei Sun, Xi Chen, Zhiwen Yu, "3D shape descriptor based on spherical harmonics by evolutionary optimization", Neurocomputing, vol.194, pp.183-191, 2016.


博士毕业论文

48. Zhiwen Yu, “Class discovery and its application”, PhD thesis in City University of Hong Kong, 2008.


部分国际会议论文:

1. Zhiwen Yu, and Hau-San Wong. “GCA: A Real-Time Grid-based Clustering Algorithm for Large Data Set”. IEEE International Conference on Pattern Recognition 2006 (ICPR2006). Hong Kong, China, 20-24 August, 2006, pp.740-743.

2. Zhiwen Yu, and Hau-San Wong. “Genetic-based K-means Algorithm for Selection of Feature Variables”. IEEE International Conference on Pattern Recognition 2006 (ICPR2006). Hong Kong, China, 20-24 August, 2006, pp.744-747.

3. Zhiwen Yu, and Hau-San Wong. “Mining Uncertain Data in Low-Dimensional Subspace”. IEEE International Conference on Pattern Recognition 2006 (ICPR2006). Hong Kong, China, 20-24 August, 2006, pp.748-751.

4. Zhiwen Yu, and Hau-SanWong. “An Efficient Local Clustering Approach for Simplification of 3D Point-based Computer Graphics Models”. IEEE International Conference on Multimedia & Expo 2006 (ICME2006). Toronto, Canada, July 9-12, 2006, pp. 2065-2068.

5. Zhiwen Yu, and Hau-San Wong. “FEMA: A Fast Expectation Maximization Algorithm based on Grid and PCA”. IEEE International Conference on Multimedia & Expo 2006 (ICME2006). Toronto, Canada, July 9-12, 2006, pp. 1913-1916.

6. Zhiwen Yu, and Hau-San Wong. “GPCD:Grid-based Predictive Collision Detection for Large-scale Environments in Computer Games”. IEEE International Conference on Multimedia & Expo 2006 (ICME2006). Toronto, Canada, July 9-12, 2006, pp. 1025-1028.

7. Zhiwen Yu, and Hau-San Wong. “Approximate Query Processing for Efficient Content-based Image Retrieval based on a Hierarchical SOM”. IEEE International Joint Conference on Neural Networks (IJCNN2006). Vancouver, Canada, July 16-21, 2006, pp.7744-7751.

8. Zhiwen Yu, and Hau-San Wong. “Improving the Selectivity of Range Query for Image Databases based on a Probabilistic Framework”. IEEE International Conference on Systems, Man, and Cybernetics 2006 (IEEE SMC2006), Tai Wan, October 8-11, 2006, pp.4326-4330. (EI)

9. Jiqi Zhang, Hau-San Wong, and Zhiwen Yu. “3D Model Retrieval Based on Volumetric Extended Gaussian Image and Hierarchical Self Organizing Map”. ACM Multimedia 2006, Santa, Barbara, USA, October 23-29, pp.121-124.

10. Zhiwen Yu, Hau-San Wong, “Fast Gaussian Mixture Clustering for Skin Detection”, 2006 IEEE International Conference on Image Processing, (ICIP 2006), pp.2997-3000.

11. Zhiwen Yu, Hau-SanWong, and Jiqi Zhang. “Gaussian representation for 3D point based head model classification based on generalized minimax algorithm”. IEEE International Conference on Multimedia & Expo 2007 (ICME2007). Beijing, China, July 2-5, 2007. pp.488-491. (EI)

12. Zhiwen Yu, Hau-San Wong, "Image Classification based on the Bagging-Adaboost Ensemble", IEEE International Conference on Multimedia & Expo 2008 (ICME2008). Hannover, Germany, June 23-26, 2008, pp.1481-1484.

13. XingWang, Zhiwen Yu, Hau-San Wong. Searching of Motion Database Based on Hierarchical SOM. IEEE International Conference on Multimedia & Expo 2008 (ICME2008). Hannover, Germany, June 23-26, 2008, pp.1233-1236.

14. Xing Wang, Zhiwen Yu, and Hau-San Wong. 3D Motion Sequence Retrieval based on Data Distribution. IEEE International Conference on Multimedia & Expo 2008 (ICME2008). Hannover, Germany, June 23-26, 2008, pp.1229-1232.

15. Zhiwen Yu, and Hau-San Wong. Knowledge based Cluster Ensemble for 3D Head Model Classification. IEEE International Conference on Pattern Recognition 2008 (ICPR2008). Tampa, Florida, USA, December 8-11, 2008, pp.1-4.

16. Zhiwen Yu, Zhongkai Deng and Hau-San Wong. “Identification of Phosphorylation Sites Using A Hybrid Classifier Ensemble Approach”, IEEE International Conference on Pattern Recognition 2008 (ICPR2008). Tampa, Florida, USA, December 8-11, 2008, pp. 1-4.

17. Zhiwen Yu, Zhongkai Deng, Hau-San Wong, and Xing Wang. Knowledge based Cluster Ensemble. IEEE International Joint Conference on Neural Networks (IJCNN2008), Hong Kong, China, June 1-6, 2008, pp.590-595.

18. Zhiwen Yu, Zhongkai Deng, Hau-San Wong, and Xing Wang. Fuzzy cluster ensemble and its application on 3D head model classification. IEEE International Joint Conference on Neural Networks (IJCNN2008), Hong Kong, China, June 1-6, 2008, pp.570-577.

19. Zhiwen Yu, Xing Wang, and Hau-San Wong. Ensemble Based 3D Human Motion Classification. IEEE International Joint Conference on Neural Networks (IJCNN2008), Hong Kong, China, June 1-6, 2008, pp.506-510.

20. Zhiwen Yu, Xing Wang, Hau-San Wong, and Zhongkai Deng. Pattern mining based on local distribution. IEEE International Joint Conference on Neural Networks (IJCNN2008), Hong Kong, China, June 1-6, 2008, pp.585-589.

21. Zhiwen Yu, Dingwen Wang, and Hau-San Wong. Nearest Neighbor Evolutionary Algorithm for constrained optimization problem. IEEE Congress on Evolutionary Computation (CEC2008), Hong Kong, China, June 1-6, 2008, pp.2335-2342.

22. Zhiwen Yu, Dingwen Wang, and Hau-San Wong. Knowledge Learning based Evolutionary Algorithm for unconstrained optimization problem. IEEE Congress on Evolutionary Computation (CEC2008), Hong Kong, China, June 1-6, 2008, pp.572-579.

23. Zhiwen Yu, Zhongkai Deng, and Hau-San Wong. “K-Nearest Neighbor Classifier Ensemble for Prediction of Phosphorylation Sites”. The 2008 International Conference on Bioinformatics and Computational Biology (BIOCOMP'08), Las Vegas, Nevada, USA, July 14-17, 2008, pp. 713-717.

24. Si wu, Zhiwen Yu, and Hau-San Wong. A Shape Derivative based Approach for Crowd Flow Segmentation. The Ninth Asian Conference on Computer Vision (ACCV2009). Xi'an, China, September 25-27, 2009.

25.GUO-XIAN YU, ZHIWEN YU(通讯作者), JING HUA, XUAN LI, JANE YOU, "Sparse representation based spectral regression", 2011 The International Conference on Machine Learning and Cybernetics (ICMLC 2011), pp.532-537, 2011.  (最佳论文奖Lotfi Zadeh Best Paper Award (2/500))

26. Guoxian Yu, Carlotta Domeniconi, Huzefa Rangwala, Guoji Zhang, Zhiwen Yu, "Transductive Multi-label Ensemble Classification on Multiple Kernels for Protein Function Prediction",  the 18th International ACM Conference on Knowledge Discovery and Data Mining (SIGKDD), pp. 1077-1085, 2012.

27. Guoxian Yu, Guoji Zhang, Huzefa Rangwala, Carlotta Domeniconi, Zhiwen Yu, "Protein Function Prediction using Weak-label Learning", ACM Conference on Bioinformatics, Computational Biology and Biomedicine, pp. 202-209, 2012.

28. Zhiwen Yu, Wendong Wu, Jane You, Guoqiang Han, Hantao Chen, "Fast K-means Algorithm based on Knowledge Learning and Its Application for Real-time Image Segmentation", IEEE International Conference on Pattern Recognition 2012 (ICPR2012), pp.878-881, 2012.

29. Jian-Ming Lv, Haibiao Lin, Can Yang, Zhiwen Yu, Yinghong Chen, Miaoyi Deng, "Identify and Trace Criminal Suspects in the Crowd Aided by Fast Trajectories Retrieval", DASFAA2014, vol. 2, pp. 16-30, 2014.

30. Le Li, Zhiwen Yu,  Jiming Liu, Jane You, Hau-San Wong,  Guoqiang Han, "Multi-view Based AdaBoost Classifier Ensemble For Class Prediction from Gene Expression Profiles", IEEE International Conference on Pattern Recognition 2014 (ICPR2014), pp. 178-183, 2014. (Oral)



项目:


主持的省部级科研项目 (主持或参与项目23项,其中主持人才项目4项、省部级项目11项)

1.广东省科技计划(粤港合作项目),2016A050503015,媒体大数据的复杂事件挖掘研究,2016/5-2018/5,主持

2.广东省科技计划(国际合作项目),2015A050502011,集成学习算法在多元城市数据融合和挖掘的应用研究,2016/1-2017/12,主持

3.国家自然科学基金面上项目,61572199,基于衍生距离数学模型的半监督聚类集成研究,2016/1-2019/12,主持
4.广东省自然科学基金杰出青年基金项目,S2013050014677,模式发现及其应用,2013/10-2016/09, 主持
5.中国博士后科学基金项目,2013M540655, 模式发现关键技术及其在癌症发现上的应用,2013/01-2014/12,  主持
6.香港学者联合会和中国博士后管委会的香江学者计划,XJ2012015,健康信息技术的研究, 2013/02-2015-02, 在研,主持
7.国家自然科学基金青年基金项目,61003174,基于聚类集成算法的癌症基因表达数据模式发现新框架的研究, 2011/01-2013/12, 已结题,主持
8.教育部新世纪优秀人才支持计划,NCET-11-0165,集成学习的关键技术研究及其应用, 2011/01-2013/12, 已结题, 主持
9.教育部博士点科研基金(新教师类),20100172120031,癌症基因表达数据模式发现新框架, 2011/01-2012/12, 已结题,主持
10.广东省自然科学基金面上项目,S2011010000264,基于集成学习的糖尿病视网膜病自动识别算法研究,2011/10-2013/09, 已结题, 主持
11.广东省自然科学基金博士启动项目,10451064101004233,癌症基因表达数据模式发现新框架研究,2010/10-2012/09,已结题,主持
 

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