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

(限300字)

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

2011年12月被聘为广东工业大学 副教授；2016年12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

TNNLS、TKDE、Cybernetics、PR、TKDD、Neurocomputing等国外学术期刊以及ICDM、CIKM、PAKDD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. (一区期刊, 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), PhilipS.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类)

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类)

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类)

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类)

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类)

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类)

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类)

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类)

科研项目

主持国家自然科学基金面上项目1项

主持国家自然科学基金青年项目1项

主持广东省自然科学基金项目1项

主持教育部留学基金委回国人员科研启动基金1项

主持广东工业大学优秀海外博士基金1项

主持广东工业大学“培英育才”科研类第一层次基金1项

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/）