厦门大学软件学院导师介绍：刘昆宏

  刘昆宏 副教授、博士
  lkhqz@xmu.edu.cn
  教育背景．．．．．．．．．．．．．．．．．．．．
  Ph.D. 中国科学技术大学自动化系, 2008.7
  M.S. 福建师范大学物理与光电子信息技术学院2004.7
  B.S. 福建师范大学物理与光电子信息技术学院, 1999.7
  工作经历．．．．．．．．．．．．．．．．．．．．．．．．．．．．．．．
  1999年9月至2001年2月 福州阳光国际学校任教
  2001年2月至2001年9月 福州磬基软件公司任程序开发员
  2004年9月至2005年7月 福建闽江学院软件工程学院讲师
  2008年7月至2011年9月 厦门大学软件学院助理教授
  2011年10至今 厦门大学软件学院副教授
  2014年9月至2015年9月 香港理工大学计算机系博士后研究员
  研究领域．．．．．．．．．．．．．．．．．．．．．．．．．．．．．．．
  数据挖掘；进化计算；机器学习；大数据分析
  演讲/授课．．．．．．．．．．．．．．．．．．．．．．．．．．．．．．
  数据挖掘；算法分析；
  承担项目 ．．．．．．．．．．．．．．．．．．．．．．．．．．．．．．
  国家自然科学基金面上项目，“基于输出纠错编码的开集多类数据挖掘算法研究”，2018.1－2021.12；（主持）
  福建省自然科学基金，“基于输出纠错编码的多类基因微阵列数据挖掘方法研究”,2016.4－2019.3；（主持）
  横向课题，“路由数据用户画像”，2016.12-2017.5；（参与）
  中国石油勘探开发研究院，“基于数据挖掘的地震数据信息提取和储层预测技术研究”，2012.11-2013.12（参与）。
  中国石油勘探开发研究院，“基于数据驱动的智能储层预测”，2012.11-2013.12（参与）。
  国家科技支撑计划，“丝绸之路”新疆文化资源集成与文化旅游综合服务应用示范，2015.7- 2017.12，（子课题合作者）
  国家自然科学基金青年基金项目，“基于集成学习的高维癌症基因微数组数据分析方法研究”，2012.1－2014.12；（主持）
  福建省自然科学基金，“基于集成特征选择的基因微数组数据分析方法研究”,2010.6－2014.6；（主持）
  中央高校基本科研业务费，“基于集成学习方法的胃癌TNM-G诊断系统研究”，2010.10－2013.10；（主持）
  参与或指导的数据挖掘竞赛：
  2017 中国软件杯大学生软件设计大赛“基于WIFI探针的商业大数据分析技术”比赛单项三等奖；
  2016 CCF大数据与计算智能大赛（BDCI）电力用户画像 比赛单项三等奖；
  2016 厦门大数据比赛 三等奖；
  2016 DataCastle 贵州交通智能数据分析大赛 一等奖、三等奖（各一）
  近期发表文章．．．．．．．．．．．．．．．．．．．．．．．．．．．．．
  发表和录用论著：
  1. Haiying Zhang, Jiaojiao Bai, Zhengjie Li, Yan Liu, Kunhong Liu*, Scale invariant SURF detector and automatic clustering segmentation for infrared small targets detection, INFRARED PHYSICS & TECHNOLOGY , 83, 7-16, 2017, (SCI).
  2. Kun-Hong Liu*, Zhi-Hao Zeng, Vincent To Yee Ng, A Hierarchical Ensemble of ECOC for cancer classification based on multi-class microarray data, Information Sciences, Vol. 349–350, pp. 102–118, 2016.(SCI)
  3. Kun-Hong Liu*, Muchenxuan Tong, Shu-Tong Xie and Vincent To Yee Ng, Genetic Programming Based Ensemble System for Microarray Data Classification, Computational and Mathematical Methods in Medicine, Volume 2015, Article ID 193406, 2015.(SCI)
  4. Qingqi Hong, Qingde Li, Beizhan Wang, Yan Li, Junfeng Yao, Kunhong Liu and Qingqiang Wu, 3D vasculature segmentation using localized hybrid level-set method, Biomed Eng Online. 2014; 13: 169.(SCI)
  5. Muchenxuan Tong, Kun-Hong Liu*, Chungui Xu, Wenbin Ju, "An ensemble of SVM classifiers based on gene pairs", Computers in Biology and Medicine 43(6), 729–737, 2013.(SCI)
  6. Guo-Yan Liu, Kun-Hong Liu (co-first author), et. al, “Novel cancerization marker, TP53, and its role in distinguishing normal tissue adjacent to cancerous tissue from normal tissue adjacent to benign tissue”, World Journal of Surgical Oncology, 2012, 10:252. (SCI)
  7. Guo-Yan Liu, Kun-Hong Liu (co-first author), et. al, “Alterations of tumor-related genes do not exactly match the histopathological grade in gastric adenocarcinomas”, World J Gastroenterol, Vol. 16, No. 9, pp. 1129-1137, 2010.(SCI)
  8. Kun-Hong Liu*, Bo Li, Qing-Qiang Wu, Jun Zhang, Ji-Xiang Du and Guo-Yan Liu, “Microarray data classification based on ensemble independent component selection”, Computers in Biology and Medicine. Vol. 39, No.11, pp. 953 – 960, 2009. (SCI, EI)
  9. Kun-Hong Liu* and Chun-Gui Xu, “A genetic programming-based approach to the classification of multiclass microarray datasets”, Bioinformatics, Vol. 25, No.3, pp. 331 – 337, 2009. (SCI)
  10. Kun-Hong, Liu*, Bo, Li, Jun, Zhang and Ji-Xiang, Du, “Ensemble component selection for improving ICA based microarray data prediction models”, Pattern Recognition, Vol. 42, No. 7, pp. 1274–1283, 2009. ( SCI)
  11. Kun-Hong Liu and De-Shuang Huang, “Cancer classification using Rotation Forest”, Computers in Biology and Medicine. Vol. 38, No. 5, pp.601-610, 2008. (SCI)
  12. Kun-Hong Liu, Jun-Feng Xia and Xue-Ling Li, “Efficient Ensemble Schemes for Protein Secondary Structure Prediction”, Protein and Peptide Letters, Vol. 15, No. 5, pp.488-493, 2008. (SCI)
  13. Kun-Hong Liu, Yong Xu, De-Shuang Huang and Min Cheng, “Grooming of Dynamic Traffic in WDM Star and Tree Networks Using a Genetic Algorithm”, Photonic Network Communications. Vol. 15, No. 2, pp.111-121, 2008. (SCI)
  14. Bo Li, De-Shuang Huang, Cao Wang and Kun-Hong Liu, “Feature extraction using constrained maximum variance mapping”. Pattern Recognition, Vol. 41, No.11, pp. 3287-3294, 2008. (SCI)
  15. Kun-Hong Liu and Yong Xu, “Combining GA with splitting methods to the rearrangeably nonblocking grooming of dynamic traffic in SONET ring networks,” Photonic Network Communications, vol. 10, No.2, pp.179-192, 2005. (SCI, EI)
  16. Kun-Hong Liu and Yong Xu, “A new approach to improving the grooming performance with dynamic traffic in SONET rings,” Computer Networks, vol. 46, No. 2, pp.181-195, 2004. (SCI)
  Papers in conference Proceedings:
  17. Wang HanRui, Li KeSen and Liu KunHong*, A Genetic Programming Based ECOC Algorithm for Microarray Data Classification, ICONIP, 2017, CCF C类, Guangzhou, China. EI会议.
  18. Wang JiaJun, Liu KunHong*, Sun MengXin, Hong QingQi, Genetic Programming Based ECOC for Multiclass Microarray Data Classification, 10th IEEE ISCID, 2017. EI会议.
  19. Sun MengXin, Liu KunHong*, Hong QingQi, An ECOC Approach for Microarray Data Classification Based on Minimizing Feature Related Complexities, 10th IEEE ISCID, 2017. EI会议.
  20. HaiYue Yu, KunHong Liu, Classification of Multi-Class Microarray Datasets Using A Minimizing Class-Overlapping Based ECOC Algorithm, 51-54, 5th International Conference on Bioinformatics and Computational Biology, ICBCB 2017, Hong Kong, China, ACM.(EI)
  21. KunHong Liu, MuChenxuan Tong, ShuTong Xie, ZhiHao Zeng, Fusing Decision Trees Based on Genetic Programming for Classification of Microarray Datasets, Lecture Notes in Computer Science Vol. 8589, 2014, pp 126-134.(EI)
  22. Zhihao Zeng, Kun-Hong Liu, and Zheyuan Wang, Cancer Classification Using Ensemble of Error Correcting Output Codes, ICIC 2014, LNBI 8590, pp. 15–24, 2014.(EI)
  23. Kun-Hong Liu, Qingqiang Wu, and Meihong Wang, The Design of Evolutionary Multiple Classifier System for the Classification of Microarray Data. ISNN 2011, Wuhan.(EI)
  24. Wei-Peng Lin, Kun-Hong Liu, and Guoyan Liu, The Application Of Feature Selection Methods To Analyze The Tissue Microarray Data, Fourth International Workshop on Advanced Computational Intelligence, Wuhan, Hubei, China; October 19-21, 2011.(EI)
  25. Kun-Hong Liu, Bo Li, Jun Zhang, and Ji-Xiang Du, "A New Approach to Improving ICA-Based Models for the Classification of Microarray Data", International Symposium on Neural Networks (ISNN), Wuhan, May 26-29, 2009, LNCS 5553, pp. 983–992(EI: 20093712304144; ISTP: BKG61).
  26. Kun-Hong Liu, Jun Zhang, Bo Li and Ji-Xiang Du, "A GA-Based Approach to ICA Feature Selection: An Efficient Method to Classify Microarray Datasets", International Symposium on Neural Networks (ISNN), Wuhan, May 26-29, 2009, LNCS 5552, pp. 432–441(EI: 20093712304080; ISTP: BKG59).
  27. Shutong Xie, Yinbiao Guo, Yong Xu, and Kun-Hong Liu, “Grooming of Dynamic Traffic in WDM Tree Networks Using Genetic Algorithms”, International Symposium on Neural Networks (ISNN), Wuhan, May 26-29, 2009, LNCS 5552, 2009, pp. 424–431(EI: 20093712304078; ISTP: BKG59).
  28. Kun-Hong Liu, De-Shuang Huang, and Jun Zhang, “Microarray Data Prediction by Evolutionary Classifier Ensemble System,” IEEE Congress on Evolutionary Computation (CEC), Singapore, September 25-28, 2007, pp. 3215-3220. (EI:081211155954)
  29. Kun-Hong Liu, De-Shuang Huang, and Bo Li, “Improving the Performance of ICA Based Microarray Data Prediction Model with Genetic Algorithm,” IEEE Congress on Evolutionary Computation (CEC), Singapore, September 25-28, pp. 3215-3220, 2007. (EI:081211155950)
  30. Chun-Gui Xu, Kun-Hong Liu and De-Shuang Huang, “The Analysis of Microarray Datasets Using a Genetic Programming”, 2009 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, March 30 – April 2, 2009, Nashville, TN, USA, pp. 176 – 181. (EI: 20093012207301)
  31. Chun-Gui Xu and Kun-Hong Liu, “A GP Based Approach to the Classification of Multiclass Microarray Datasets”. International Conference on Intelligent Computing, September 15-18, 2008, Shanghai, LNAI 5227, Springer Berlin, 2008: pp. 340-346. (EI:084111630377; ISTP: BIK84)
  32. Jun Zhang, De-shuang Huang and Kun-Hong Liu, “Multi-Sub-Swarm Particle Swarm Optimization Algorithm for Multimodal Function Optimization,” IEEE Congress on Evolutionary Computation (CEC), Singapore, September 25-28, 2007, pp. 3215-3220. (EI:081211156306)
  33. Bo Li, De-shuang Huang and Kun-Hong Liu, “Constrained Maximum Variance Mapping”, IEEE World Congress on Computational Intelligence, Hong Kong, June 1-8, 2008, pp. 534-537.(EI: 084811736648; ISTP: 342XV)
  34. Zhong-Hua Quan, De-Shuang Huang, Kun-Hong Liu, and Kwok-Wing Chau, “A Hybrid HMM/ANN Based Approach for Online Signature Verification”, IEEE International Joint Conference on Neural Networks (IJCNN), August 12–17 2007, Orlando, Florida, USA (IJCNN), pp. 402 – 405. (ISTP: BHM64)
  35. Guo-Zhu Wen, Xiao-Yong Guo, De-Shuang Huang, and Kun-Hong Liu, “Application of Self-Organizing Map in Aerosol Single Particles Data Clustering”, IEEE International Joint Conference on Neural Networks (IJCNN), August 12–17, Orlando, Florida, USA (IJCNN), 2007, pp. 991 – 996. (ISTP: 259FR)
  Book Chapters:
  36. Yong Xu and Kun-Hong Liu, “Evolutionary Grooming of Traffic in WDM Optical Networks,” Advances in Evolutionary Computing for System Design, Studies in Computational Intelligence, vol. 66, pp. 95-137, 2007, Springer.