肖燕珊

作者: 时间:2019-09-17 点击数:

                                         

肖燕珊      Xiao Yanshan    教 授

所属学院:

计算机学院

导师类别:

博士生导师

科研方向:

数据挖掘,人工智能

联系方式:

xiaoyanshan@189.cn

硕士招生学院:

计算机学院



个人简述

(300)

肖燕珊,博士研究生,广东工业大学计算机学院 教授。2011年毕业于澳洲的悉尼科技大学,获得计算机科学博士学位,主要研究领域为数据挖掘、人工智能等。在科研论文方面,已发表论文30余篇。其中,发表SCI 期刊论文12 篇。部分成果发表在《IEEE Transactions on   Pattern Analysis and Machine Intelligence (PAMI)(一区SCI 期刊,IF: 8.329)、《IEEE Transactions on   Neural Networks and Learning Systems (TNNLS)(一区SCI 期刊,IF: 6.108)、《IEEE Transactions on   Cybernetics(一区SCI 期刊,IF: 7.384)、《IEEE Transactions on   Knowledge and Data Engineering (TKDE)(二区SCI 期刊,IF: 3.438)等国外学术期刊。在科研项目方面,主持了国家自然科学基金面上项目、国家自然科学基金青年项目、广东省自然科学基金等多个国家省部级项目。



学科领域

科学学位

计算机科学与技术

专业学位

教育背景

2004年,获得 武汉大学 信息管理专业学士学位

2004年,推荐免试研究生,保送北京大学,攻读信息管理专业硕士研究生

2008年 赴澳大利亚,攻读 悉尼科技大学 计算机科学专业博士研究生(获得全额奖学金)

工作经历

201112月被聘为广东工业大学 副教授;201612月被破格聘为广东工业大学教授,硕士生导师,列为广东工业大学“培英育才”科研类培养对象、“千百十人才”校级培养对象。

学术兼职

TNNLSTKDECyberneticsPRTKDDNeurocomputing等国外学术期刊以及ICDMCIKMPAKDD等国外学术会议审稿人。

主要论文



1) Yanshan Xiao(肖燕珊), Bo   Liu, Zhifeng Hao. A sphere-description-based approach for multiple-instance learning.   IEEE Transactions on Pattern Analysis and Machine Intelligence   (PAMI), 39(2): 242-257, 2017. (一区期刊, SCI, IF:   8.329)

2) Yanshan Xiao(肖燕珊), Bo   Liu, Zhifeng Hao. Multiple-instance ordinal regression. IEEE   Transactions on Neural Networks and Learning Systems (TNNLS), Accpeted.   (一区期刊,   SCI, IF: 6.108)

3) Yanshan Xiao(肖燕珊), Bo   Liu, Zhifeng Hao. A maximum margin approach for semi-supervised ordinal   regression clustering. IEEE Transactions on Neural Networks and   Learning Systems (TNNLS), 27(5): 1003-1019, 2016. (一区期刊,   SCI, IF: 6.108)

4) Yanshan Xiao(肖燕珊), Bo Liu, Zhifeng Hao,   Longbing Cao. A similarity-based classification framework for   multiple-instance learning. IEEE Transactions on Cybernetics (IEEETC),   44(4): 500-515, 2014. (区期刊, SCI, IF: 7.384)

5) Bo   Liu, Yanshan   Xiao*(肖燕珊), Philip S. Yu, Longbing   Cao, et al. Uncertain One-Class Learning and Concept Summarization Learning   on Uncertain Data Streams. IEEE Transactions on Knowledge and Data   Engineering (TKDE), 26(2): 468-484,2014. (二区期刊, SCI, IF: 3.438)

6) Bo   Liu, Yanshan Xiao, Philip S. Yu, Zhifeng Hao, Longbing Cao. An   Efficient Approach for Outlier Detection with Imperfect Data Labels. IEEE   Transactions on Knowledge and Data Engineering (TKDE), 26(7):   1602-1616,2014. (二区期刊, SCI, IF: 3.438)

7) Yanshan Xiao(肖燕珊),   Bo Liu, Jie Yin, Zhifeng Hao. A multiple-instance stream learning framework   for adaptive document categorization. Knowledge-Based Systems, 120: 198-210, 2017. (二区期刊, SCI, IF: 4.529)

8) Yanshan Xiao(肖燕珊), Bo   Liu, Philip   S. Yu, Zhifeng Hao. A robust one-class   transfer learning method with uncertain data. Knowledge and   Information Systems (KAIS), 44(2):   407-438, 2015. (二区期刊, SCI, IF: 2.004)

9) Yanshan Xiao(肖燕珊), Bo Liu, Zhifeng Hao,   Longbing Cao. A K-Farthest-Neighbor-Based Approach for Support Vector Data   Description. Applied Intelligence, 41(1): 196-211, 2014. (SCI, IF: 1.904)

10) Bo   Liu, Yanshan Xiao*(肖燕珊), Longbing Cao. SVM-based   multi-state-mapping approach for multi-class classification. Knowledge-Based   Systems. 129: 79-96, 2017. (二区期刊, SCI, IF: 4.529)

11) Bo Liu, Yanshan Xiao*(肖燕珊), Philip S. Yu, et al. An efficient orientation   distance-based discriminative feature extraction method for   multi-classification. Knowledge and Information Systems   (KAIS), 39(2): 409-433, 2014.   (二区期刊, SCI, IF: 2.004)

12) Bo Liu, Yanshan Xiao(肖燕珊), Longbing Cao,   Zhifeng Hao, Feiqi Deng. SVDD-based outlier detection on uncertain data. Knowledge and   Information Systems (KAIS), 34(3):   597-618, 2013.   (二区期刊, SCI, IF: 2.004)

13) Yanshan Xiao(肖燕珊), Bo   Liu, Jie Yin, Longbing Cao, et al. Similarity-Based Approach for Positive and   Unlabeled Learning. The 22nd International Joint Conference on   Artificial Intelligence (IJCAI), Barcelona, 2011,   1577-1582.  (CCF推荐会议,A)

14) Yanshan Xiao(肖燕珊), Bo Liu, Longbing Cao,   et al. SMILE: A Similarity-Based Approach for Multiple Instance Learning. The   10th IEEE International Conference on Data Mining (ICDM), Sydney,   2010, 304-313. (CCF推荐会议,B)

15) Yanshan Xiao(肖燕珊), Bo   Liu, Longbing Cao. K-farthest-neighbors-based concept boundary determination   for support vector data description. The 19th ACM Conference on   Information and Knowledge Management (CIKM), Toronto, 2010,   1701-1704. (CCF推荐会议,B)

16) Bo   Liu, Yanshan   Xiao*(肖燕珊), Philip S. Yu, et al.   Robust Textual Data Streams Mining Based on Continuous Transfer Learning. The   13th  SIAM Conference on Data Mining (SDM), Austin, 2013,   731-739. (CCF推荐会议,B)

17) Bo Liu, Yanshan Xiao(肖燕珊),   Longbing Cao, Philip S. Yu.   Orientation Distance-Based Discriminative Feature Extraction for Multi-class   Classification. The 19th ACM Conference on Information and Knowledge   Management (CIKM) , Toronto, 2010, 909-918. (CCF推荐会议,B)

18) Bo   Liu, Jie Yin, Yanshan   Xiao(肖燕珊), Longbing Cao, Philip S.   Yu. Exploiting local data uncertainty to boost global outlier detection. IEEE   International Conference on Data Mining (ICDM), Sydney, 2010, 304-313.   (CCF推荐会议,B)

19) Bo   Liu, Yanshan   Xiao(肖燕珊), Philip S. Yu, et al.   MODS: Multiple one-class data streams learning from homogeneous data. The   13th  SIAM Conference on Data Mining (SDM), Austin, 2013,   722-730. (CCF推荐会议,B)

20) Bo   Liu, Philip S. Yu, Yanshan   Xiao(肖燕珊), Zhifeng Hao. One-class   transfer learning with uncertain data. The Pacific-Asia Conference on Knowledge Discovery and Data Mining   (PAKDD), Sydney, 2013, 471-483. (CCF推荐会议,C)

科研项目

主持国家自然科学基金面上项目1

主持国家自然科学基金青年项目1

主持广东省自然科学基金项目1

主持教育部留学基金委回国人员科研启动基金1

主持广东工业大学优秀海外博士基金1

主持广东工业大学“培英育才”科研类第一层次基金1

参与多项国家、省市级科研项目



教学活动

本科生课程:算法设计与分析、数据结构等

我的团队:

数据挖掘与信息检索实验室(http://dmir.gdut.edu.cn/

 

地址:广州市番禺区广州大学城外环西路100号广东工业大学行政楼325    邮编:510006

电话:020-39322722    邮箱:yzb@gdut.edu.cn