余志文(華南理工大學計算機學院教授、博導、副院長)

余志文(華南理工大學計算機學院教授、博導、副院長)

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余志文博士，現為華南理工大學計算機學院教授、博士生導師、副院長、國家優秀青年科學基金獲得者。余博士是中國計算機學會（CCF）理事、CCF傑出會員、ACM廣州分會副主席、CCF廣州分部執行委員、2015-2016 CCF YOCSEF廣州 主席、IEEE、ACM高級會員， CCF人工智慧與模式識別專委會委員、CAAI機器學習專委會委員。余博士於2008年在香港城市大學計算機系獲博士學位，之後在香港理工大學電子計算系做過博士後研究，2011年入選教育部新世紀優秀人才支持計畫， 2013年獲得廣東省自然科學傑出青年基金資助， 2017年獲國家優秀青年科學基金資助。余博士主要從事機器學習、數據挖掘、模式識別和人工智慧方面的研究，發表學術論文近100多篇，其中50多篇SCI論文，30篇IEEE Transactions系列論文，如：TKDE, TEC, TCYB, TMM, TSMC-B, TCBB, TCSVT, TNB等，1篇論文獲國際會議最佳論文獎，擔任CCF會刊《計算機套用》編委。主持和參與的項目近30項，其中主持國家基金重點項目、優青項目、面上項目和青年項目、以及其它省部級項目13項。

基本介紹

  • 中文名：余志文
  • 國籍：中國
  • 民族：漢
  • 出生地：廣東
  • 職業：教師
  • 畢業院校：香港城市大學
  • 學位/學歷：博士
  • 專業方向：機器學習、數據挖掘、模式識別、人工智慧、生物信息學
  • 職務：副院長
  • 主要成就：國家優秀青年科學基金獲得者；廣東省傑出青年科學基金獲得者；教育部新世紀優秀人才支持計畫
  • 學術代表作：30 篇IEEE Transactions論文
  • 論文數量：14篇(截至2019年7月) 
基本情況,學習工作簡歷,學術兼職,主要研究領域與項目,研究領域,科研項目,主要學術成果與獲獎,學術成果,榮譽獲獎,

基本情況

學習工作簡歷

香港城市大學(City University of Hong Kong)計算機系獲博士學位，之後多次在香港城市大學計算機系擔任Research fellow，以及在香港理工大學電子計算系和香港浸會大學計算機系擔任Research Fellow。

學術兼職

余博士是中國計算機學會（CCF）理事、CCF傑出會員、ACM廣州分會副主席、CCF廣州分部執行委員、2015-2016 CCF YOCSEF廣州 主席、IEEE、ACM高級會員， CCF人工智慧與模式識別專委會委員、CAAI機器學習專委會委員。
2011年入選教育部新世紀優秀人才支持計畫， 2013年獲得廣東省自然科學傑出青年基金資助， 2017年獲國家優秀青年科學基金資助。

主要研究領域與項目

研究領域

在科研上，主要從事機器學習、數據挖掘、模式識別、人工智慧、生物信息學和多媒體的研究。

科研項目

主持的省部級科研項目 （主持或參與項目近30項，其中主持省部級項目13項）
  1. 國家自然科學基金重點項目，61751205，多源異構數據的決策特徵提取與知識發現，2018/01-2020/12，主持
  2. 國家優秀青年科學基金，61722205，集成學習理論及其套用，2018/01-2020/12，主持
  3. 國家自然科學基金面上項目，61572199，基於衍生距離數學模型的半監督聚類集成研究，2016/1-2019/12，主持
  4. 廣東省科技計畫（粵港合作項目），2016A050503015，媒體大數據的複雜事件挖掘研究，2016/5-2018/5，主持
  5. 廣東省科技計畫（國際合作項目），2015A050502011，集成學習算法在多元城市數據融合和挖掘的套用研究，2016/1-2017/12，主持
  6. 廣東省自然科學基金傑出青年基金項目，S2013050014677，模式發現及其套用，2013/10-2016/09, 主持
  7. 中國博士後科學基金項目，2013M540655， 模式發現關鍵技術及其在癌症發現上的套用，2013/01-2014/12, 主持
  8. 香港學者聯合會和中國博士後管委會的香江學者計畫，XJ2012015，健康信息技術的研究， 2013/02-2015-02, 在研，主持
  9. 國家自然科學基金青年基金項目，61003174，基於聚類集成算法的癌症基因表達數據模式發現新框架的研究， 2011/01-2013/12, 已結題，主持
  10. 教育部新世紀優秀人才支持計畫，NCET-11-0165，集成學習的關鍵技術研究及其套用， 2011/01-2013/12, 已結題， 主持
  11. 教育部博士點科研基金（新教師類），20100172120031，癌症基因表達數據模式發現新框架， 2011/01-2012/12, 已結題，主持
  12. 廣東省自然科學基金面上項目，S2011010000264，基於集成學習的糖尿病視網膜病自動識別算法研究，2011/10-2013/09, 已結題, 主持
  13. 廣東省自然科學基金博士啟動項目，10451064101004233，癌症基因表達數據模式發現新框架研究，2010/10-2012/09，已結題，主持。

主要學術成果與獲獎

學術成果

發表學術論文100多篇，其中50多篇SCI論文，30篇IEEE Transactions系列論文，如：TKDE, TEC, TCYB, TMM, TSMC-B, TCBB, TCSVT, TNB等。
  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區）
  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類）
  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區）
  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區）
  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類）
  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區）
  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類）
  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區）
  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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. .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. 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. 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. 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. 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. 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. 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. 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. 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. Zhiwen Yu, and Hau-San Wong. “Quantization-based Clustering Algorithm”. Pattern Recognition. Vol.43, Issue 8, pp.2698-2711, 2010.
  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. Zhiwen Yu, Jane You, Hau-San Wong, Guoqiang Han, "From Cluster Ensemble to Structure Ensemble", Information Science, vol.168, pp. 81-99, 2012.
  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. 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. 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. 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. 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. 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. 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. 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. Guihua Wen, Jun Wen, Jia Wei, Lijun Jiang,Zhiwen Yu, “Perceptual Relativity-based Local Hyperplane”, Neurocomputing, vol. 97, pp.155-163, 2012.
  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. Haisheng Li, Guihua Wen,Zhiwen Yu, Tiangang Zhou, "Random subspace evidence classifier", Neurocomputing 110, pp. 62-69, 2013.
  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. 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. 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. 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. 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. 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. 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. 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.
博士畢業論文
55.Zhiwen Yu,“Class discovery and its application”, PhD thesis in City University of Hong Kong, 2008.

榮譽獲獎

所獲得的獎勵包括香港特區政府獎學金，香港城市大學傑出科研獎，華南理工大學教學優秀獎二等獎。

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