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  • 1.摘要
  • 2.基本信息
  • 3.人物经历
  • 3.1.学习工作简历
  • 3.2.学术兼职
  • 4.任免信息
  • 5.研究方向
  • 5.1.研究领域
  • 5.2.科研项目
  • 6.学术成果
  • 7.荣誉记录
  • 8.人物事件
  • 9.参考资料

余志文

华南理工大学计算机科学与工程学院原副院长

余志文，曾任华南理工大学计算机学院教授、博士生导师、副院长、国家优秀青年科学基金获得者。余博士是中国计算机学会（CCF）理事、CCF杰出会员、ACM广州分会副主席、CCF广州分部执行委员、2015-2016 CCF YOCSEF广州 主席、IEEE、ACM高级会员， CCF人工智能与模式识别专委会委员、CAAI机器学习专委会委员。

2019年2月14日，因涉嫌在2018年研究生复试中进行违规操作一事，停职并接受调查。14月4日，华南理工大学通报计算机学院违规更改2018年研究生复试分数问题有关处理情况，给予余志文开除党籍、降低岗位等级处分，由专业技术岗四级降为八级聘用，取消其研究生导师资格，报请撤销其珠江学者称号。

基本信息

人物经历

学习工作简历

香港城市大学(City University of Hong Kong)计算机系获博士学位，之后多次在香港城市大学计算机系担任Research fellow，以及在香港理工大学电子计算系和香港浸会大学计算机系担任Research Fellow。

学术兼职

余博士是中国计算机学会（CCF）理事、CCF杰出会员、ACM广州分会副主席、CCF广州分部执行委员、2015-2016 CCF YOCSEF广州 主席、IEEE、ACM高级会员， CCF人工智能与模式识别专委会委员、CAAI机器学习专委会委员。

2011年入选教育部新世纪优秀人才支持计划， 2013年获得广东省自然科学杰出青年基金资助， 2017年获国家优秀青年科学基金资助。2

任免信息

2018年10月，余志文被免去华南理工大学计算机学院副院长职务。

研究方向

研究领域

在科研上，主要从事机器学习、数据挖掘、模式识别、人工智能、生物信息学和多媒体的研究。

科研项目

主持的省部级科研项目 （主持或参与项目近30项，其中主持省部级项目13项）2

  1. 1.

    国家自然科学基金重点项目，61751205，多源异构数据的决策特征提取与知识发现，2018/01-2020/12，主持

  2. 2.

    国家优秀青年科学基金，61722205，集成学习理论及其应用，2018/01-2020/12，主持

  3. 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. 4.

    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

  5. 5.

    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

  6. 6.

    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

  7. 7.

    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

  8. 8.

    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

  9. 9.

    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

  10. 10.

    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

  11. 11.

    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

  12. 12.

    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

  13. 13.

    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。

学术成果

发表学术论文100多篇，其中50多篇SCI论文，30篇IEEE Transactions系列论文，如：TKDE, TEC, TCYB, TMM, TSMC-B, TCBB, TCSVT, TNB等。

  1. 1.

    Zhiwen Yu, Yidong Zhang, C. L. Philip Chen, Jane You, Hau-San Wong, Dan Dai, Si Wu, Jun Zhang, “Multi-objective semi-supervised classifier ensemble”, IEEE Transactions on Cybernetics, 2018.(Accepted，IF=7.384，中科院 JCR1区）

  2. 2.

    Zhiwen Yu, Peinan Luo, Jiming Liu Hau-San Wong, Jane You, Guoqiang Han Jun Zhang, “Semi-supervised ensemble clustering based on selected constraint projection”，IEEE Transactions on Knowledge and Data Engineering，2018.（Accepted，IF=3.438，CCF A类）

  3. 3.

    Zhiwen Yu, Yidong Zhang, Jane You, C. L. Philip Chen, Hau-San Wong, Guoqiang Han, Jun Zhang, "Adaptive Semi-Supervised Classifier Ensemble for High Dimensional Data Classification", IEEE Transactions on Cybernetics, 2017. Doi: 10.1109/TCYB.2017.2761908 （IF=7.384，中科院 JCR1区）

  4. 4.

    Zhiwen Yu, Daxing Wang, Zhuoxiong Zhao, C. L. Philip Chen, Jane You, Hau-San Wong, Jun Zhang, "Hybrid incremental ensemble learning for noisy real-world data classification", IEEE Transactions on Cybernetics, 2017. Doi: 10.1109/TCYB.2017.2774266 （IF=7.384，中科院 JCR1区）

  5. 5.

    Si Wu, Qiujia Ji, Shufeng Wang, Hau-San Wong,Zhiwen Yu, Yong Xu, "Semi-Supervised Image Classification with Self-Paced Cross-Task Networks", IEEE Transactions on Multimedia, vol. 20, no. 4, pp. 851-865, 2018.（IF=3.509，CCF B类）

  6. 6.

    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, vol. 48, no. 5, pp. 1383-1396, 2018. （IF=7.384，中科院 JCR1区）

  7. 7.

    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, vol. 29, no. 8, pp. 1577-1590, Aug. 1 2017. （IF=3.438，CCF A类）

  8. 8.

    Zhiwen Yu, Ye Lu, Jun Zhang,Jane You,Hau-San Wong, Yide Wang, Guoqiang Han, "Progressive Semisupervised Learning of Multiple Classifiers", IEEE Transactions on Cybernetics, vol. 48, no. 2, pp. 689-702. 2018. （IF=7.384，中科院 JCR1区）

  9. 9.

    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)

  10. 10.

    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).

  11. 11.

    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.

  12. 12.

    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.

  13. 13.

    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.

  14. 14.

    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.

  15. 15.

    Zhiwen Yu, Le Li, Jiming Liu, Guoqiang Han, "Hybrid Adaptive Classifier Ensemble", IEEE Transactions on Cybernetics, vol. 42, no. 2, pp. 177-190. 2015.

  16. 16.

    ZhiwenYu, 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 .

  17. 17.

    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.

  18. 18.

    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.

  19. 19.

    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

  20. 20.

    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.

  21. 21.

    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

  22. 22.

    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.

  23. 23.

    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.

  24. 24.

    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.

  25. 25.

    Si Wu, Hau-San Wong, andZhiwen 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.

  26. 26.

    .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.

  27. 27.

    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.

  28. 28.

    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.

  29. 29.

    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.

  30. 30.

    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.

  31. 31.

    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.

  32. 32.

    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.

  33. 33.

    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.

  34. 34.

    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.

  35. 35.

    Zhiwen Yu, and Hau-San Wong. “Quantization-based Clustering Algorithm”. Pattern Recognition. Vol.43, Issue 8, pp.2698-2711, 2010.

  36. 36.

    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.

  37. 37.

    Zhiwen Yu, Jane You, Hau-San Wong, Guoqiang Han, "From Cluster Ensemble to Structure Ensemble", Information Science, vol.168, pp. 81-99, 2012.

  38. 38.

    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.

  39. 39.

    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.

  40. 40.

    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.

  41. 41.

    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.

  42. 42.

    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.

  43. 43.

    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.

  44. 44.

    Zhiwen Yu, Jiming Liu, Xiaowei Wang,Xianjun Zhu, Daxing Wang, Guoqiang Han,"Efficient Vaccine Distribution Based on a Hybrid Compartmental Model", plos one, 2016.

  45. 45.

    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.

  46. 46.

    Guihua Wen, Jun Wen, Jia Wei, Lijun Jiang,Zhiwen Yu, “Perceptual Relativity-based Local Hyperplane”, Neurocomputing, vol. 97, pp.155-163, 2012.

  47. 47.

    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.

  48. 48.

    Haisheng Li, Guihua Wen,Zhiwen Yu, Tiangang Zhou, "Random subspace evidence classifier", Neurocomputing 110, pp. 62-69, 2013.

  49. 49.

    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.

  50. 50.

    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.

  51. 51.

    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.

  52. 52.

    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.

  53. 53.

    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.

  54. 54.

    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.

  55. 55.

    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).

  56. 56.

    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

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