权小军

所属研究所、院系: 
大数据与计算智能研究所
职称: 
教授
E-mail: 
quanxj3@mail.sysu.edu.cn
办公地点: 
超算中心502H
教师简介: 

权小军,博士,教授,博士生导师。广东省“珠江人才计划”海外青年英才团队核心成员,中山大学“百人计划”急需青年杰出人才。先后于中国科学技术大学计算机系、香港城市大学计算机系、美国罗格斯大学商学院、美国普渡大学计算机系、香港城市大学语言学与翻译系、新加坡科技研究局资讯通信研究院从事数据挖掘、文本挖掘、自然语言处理、机器学习的研究工作,在国际知名期刊和会议如IEEE T-PAMI,ACM TOIS,Information Sciences,KAIS,IPM,IJCAI,ACL,SIGIR等发表论文30余篇。2012年博士毕业于香港城市大学,被授予香港城市大学研究生类最高荣誉的奖学金—周亦卿研究生院奖学金。回国前就职于新加坡科技研究局资讯通信研究院(Institute for Infocomm Research,A*STAR)数据分析研究所(Data Analytics Department),任研究科学家,期间除从事文本数据挖掘的基础研究外,也同工业界紧密合作,领导或参与了同中国平安、新加坡星展银行(DBS)、联想(新加坡)及渣打银行的合作项目,在探索应用研究方面具有丰富的经验。

      研究方向包括:基于深度学习及其它机器学习技术,研究
                              1) 深层语义挖掘与理解;
                              2) 机器阅读理解和对话系统;
                              3) 情感分析;
                              4) 文本摘要;
                              5) 其它自然语言处理问题;
 
致潜在研究生:本实验室定位高质量的前沿研究,希望研究生对研究有热情、有长远目标、做事有恒心、能独立思考,不适合为找工作读研、为学历读研的研究生;我们将为研究生提供开放、人性化的研究环境,产学研的合作交流机会,以及具有良好职业前景的研究方向欢迎有志于从事自然语言处理的同学和研究人员加入本实验室!
研究领域: 

自然语言处理、深度学习、机器学习

教育背景: 
2009.10-2012.08,香港城市大学计算机系,博士
2005.09-2008.06,中国科学技术大学计算机系,硕士
2001.09-2005.06,长安大学计算机科学与技术系,本科
工作经历: 
2017.07-至今,中山大学数据科学与计算机学院,教授
2014.01-2017.05,新加坡科技研究局资讯通信研究院,研究科学家
2012.09-2013.12,香港城市大学中文、翻译与语言学系,博士后研究员
2011.07-2011.12,美国普渡大学计算机系,访问学者
2010.06-2010.08,美国罗格斯大学商学院,访问学者
2008.07-2009.09,香港城市大学计算机系,研究助理
海外经历: 
2014.01-2017.05,新加坡科技研究局资讯通信研究院,研究科学家
2012.09-2013.12,香港城市大学中文、翻译与语言学系,博士后研究员
2011.07-2011.12,美国普渡大学计算机系,访问学者
2010.06-2010.08,美国罗格斯大学商学院,访问学者
2008.07-2009.09,香港城市大学计算机系,研究助理
获奖及荣誉: 
1. Chow Yei Ching School of Graduate Studies Scholarship, 2011, 香港城市大学
2. College Student Research Excellence Awards, 2012,香港城市大学科学与工程学院
3. Outstanding Academic Performance Award,2011,香港城市大学计算机系
4. Outstanding Academic Performance Award,2010,香港城市大学计算机系
主要学术兼职: 
程序委员会委员:KDD 2016,SDM 2017,SDM 2016,EMNLP 2016,SDM 2015,ICDM 2014,ICDM 2013
审稿人:TKDE,TOIS,TIFS,TPDS,KAIS,Neurocomputing,WWW Journal
教授课程: 
机器学习(2016级智能科学与技术)
数据分析实践(2015级信息与计算科学)
代表性论著: 

会议论文

  1. Kai Wang, Xiaojun Quan, Rui Wang. BiSET: Bi-directional Selective Encoding with Template for Abstractive Summarization, ACL 2019, long paper, accepted.
    
  2. Wuya Chen, Xiaojun Quan and Chengbo Chen. Gated Convolutional Networks for Common-sense Machine Comprehension. The 25th International Conference on Neural Information Processing (ICONIP 2018), Siem Reap, Cambodia, December 13-16, 2018.
    
  3. Xiaojun Quan, Chunyu KIT, Wuya Chen. Collaborative Matching for Sentence Alignment. The Seventeenth China National Conference on Computational Linguistics (CCL 2018), Changsha, China, October 19-21, 2018.
    
  4. Xiaojun Quan, Chunyu Kit, Yong Ge, Sinno Jialin Pan. Short and Sparse Text Topic Modeling via Self-Aggregation. International Joint Conference on Artificial Intelligence (IJCAI 2015), Buenos Aires, Argentina, July 25 - 31, 2015
    
  5. Rongcheng Lin, Huayu Li, Xiaojun Quan, Richang Hong, Zhiang Wu, Yong Ge. Regularizing Flat Latent Variables with Hierarchical Structures. International Joint Conference on Artificial Intelligence (IJCAI 2015), Buenos Aires, Argentina, July 25 - 31, 2015.
  6. Xiaojun Quan, Chunyu Kit, Yan Song. Non-Monotonic Sentence Alignment via Semisupervised Learning. The 51st Annual Meeting of the Association for Computational Linguistics (ACL 2013), Sofia, Bulgaria, August 4-9, 2013.
  7. Ying Zhang, Yi Fang, Xiaojun Quan, Lin Dai, Luo Si, Xiaojie Yuan. Emotion tagging for comments of online news by meta classification with heterogeneous information sources. ACM Conference on Research and Development in Information Retrieval (SIGIR 2012), poster, Portland, Oregon, August 12-16, 2012.
  8. Xiaojun Quan, Yao Lu, Wenyin Liu. Towards modeling question popularity in community question answering. IEEE International Conference Series on Cognitive Informatics and Cognitive Computing (IEEE ICCI*CC), Kyoto, Japan, August 22-24, 2012.
  9. Yanghui Rao, Xiaojun Quan, Liu Wenyin, Qing Li, Mingliang Chen. Building word-emotion mapping dictionary for online news. The 1st International Workshop on Sentiment Discovery from Affective Data, 2012.
  10. Xiaojun Quan, Liu Wenyin, Wenyu Dou. Longitudinal Sales Responses with Online Reviews. IEEE 11th International Conference on Data Mining Workshops (ICDM Workshops), 2011.
  11. Yao Lu, Xiangfei Kong, Xiaojun Quan, Wenyin Liu, Yinlong Xu. Exploring the Sentiment Strength of User Reviews. International Conference Web-Age Information Management (WAIM), 2010.
  12. Wanpeng Song, Liu Wenyin, Naijie Gu, Xiaojun Quan. User Feedback for Improving Question Categorization in Web-Based Question Answering Systems. APWeb/WAIM Workshops, 2009.
  13. Yao Lu, Xiaojun Quan, Xingliang Ni, Wenyin Liu, Yinlong Xu. Latent Link Analysis for Expert Finding in User-Interactive Question Answering Services. SKG 2009, 2009.
  14. Xingliang Ni, Zhi Lu, Xiaojun Quan, Wenyin Liu, Bei Hua, Short Text Clustering for Search Results. APWeb 2009, 2009.
  15. Xiaojun Quan, Enhong Chen, Qiming Luo, Hui Xiong. Adaptive label-driven scaling for latent semantic indexing. ACM Conference on Research and Development in Information Retrieval (SIGIR 2008), poster, 2008.
    

期刊论文:

  1. Xiaojun Quan, Qifan Wang, Ying Zhang, Luo Si, Wenyin Liu. Latent Discriminative Models for Social Emotion Detection with Emotional Dependency. ACM Transactions on Information Systems (TOIS), 34 (1), 2, 2015.
  2. Xiaojun Quan, Chunyu Kit. Towards non-monotonic sentence alignment. Information Sciences, 323, 34-47, 2015.
  3. Yanghui Rao, Qing Li, Wenyin Liu, Qingyuan Wu, Xiaojun Quan. Affective topic model for social emotion detection. Neural Networks, 58, 29-37, 2014.
  4. Jingsheng Lei, Yanghui Rao, Qing Li, Xiaojun Quan, Liu Wenyin. Towards building a social emotion detection system for online news. Future Generation Computer Systems, 37, 438-448, 2014.
  5.  Xiaojun Quan, Yao Lu, Feifei Xu, Jingsheng Lei, Wenyin Liu. Mathematical modeling of question popularity in user-interactive QA systems. Journal of Advanced Mathematics and Applications, 2013.
  6. Liuzhi Yin, Yong Ge, Keli Xiao, Xuehua Wang, Xiaojun Quan. Feature selection for high-dimensional imbalanced data. Neurocomputing, 105, 3-11, 2013.
  7. Xiaojun Quan, Liu Wenyin, Wenyu Dou, Hui Xiong, Yong Ge. Link Graph Analysis for Business Site Selection. Computer, 45 (3), 64-69, 2012.
  8. Liu Wenyin, Gang Liu, Bite Qiu, Xiaojun Quan. Antiphishing through Phishing Target Discovery. IEEE Internet Computing, 16 (2), 52-61, 2012.
  9. Xingliang Ni, Yao Lu, Xiaojun Quan, Liu Wenyin, Bei Hua. User interest modeling and its application for question recommendation in user-interactive question answering systems. Information Processing & Management, 48 (2), 218-233, 2012.
  10. Yao Lu, Xiaojun Quan, Jingsheng Lei, Xingliang Ni, Wenyin Liu, Yinlong Xu. Semantic Link Analysis for Finding Answer Experts. Journal of Information Science and Engineering, 28 (1), 51-65, 2012.
  11. Xiaojun Quan, Liu Wenyin. Analyzing Question Attractiveness in Community Question Answering. Modern Advances in Intelligent Systems and Tools, 141-146, 2012.
  12. Xiaojun Quan, Liu Wenyin, Bite Qiu. Term Weighting Schemes for Question Categorization. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 33 (5), 1009-1021, 2011.
  13. Wanpeng Song, Liu Wenyin, Naijie Gu, Xiaojun Quan, Tianyong Hao. Automatic categorization of questions for user-interactive question answering. Information Processing & Management, 47 (2), 147-156, 2011.
  14. Xingliang Ni, Xiaojun Quan, Zhi Lu, Liu Wenyin, Bei Hua. Short text clustering by finding core terms. Knowledge and Information Systems (KAIS), 27 (3), 345-365, 2011.
  15. Xiaojun Quan, Gang Liu, Zhi Lu, Xingliang Ni, Liu Wenyin. Short text similarity based on probabilistic topics. Knowledge and Information Systems (KAIS), 25 (3), 473-491, 2010.
  16. Liu Wenyin, Ning Fang, Xiaojun Quan, Bite Qiu, Gang Liu. Discovering phishing target based on semantic link network. Future Generation Computer Systems, 26 (3), 381-388, 2010.
  17. Liu Wenyin, Xiaojun Quan, Min Feng, Bite Qiu. A short text modeling method combining semantic and statistical information. Information Sciences, 180 (20), 4031-4041, 2010.