Jianguang DU(杜建光)

            PhD
     

                    
        School of Computer Science and Technology,
        Beijing Institute of Technology,
        Beijing 100081, P.R. China

           Email: jg.du988 [AT] gmail [DOT] com 

                           











Biography

I have graduated from Beijing Institute of Technology (BIT, Beijing, China). I was a PhD student at School of Computer Science and Technology, Beijing Institute of Technology, under the supervision of  Prof. Lejian Liao and Prof. Dandan Song. I was a Research Assistant in School of Information Systems, Singapore Management University (SMU), under the supervision of Prof. Jing JiangI received my Bachelor degree from School of Computer Science and Technology, BIT in 2010.

Background

  • Sep 2010 - Jan 2016            PhD student, School of Computer Science and Technology, BIT 
  • Feb 2014 - Feb 2015           Research assistant, School of Information Systems, SMU
  • Aug 2013 - Aug 2013          Visiting student, Department of Electrical Engineering, The Technion (Israel Institute of Technology)
  • Sep 2006 - Jul 2010            Bachelor, School of Computer Science and Technology, BIT 

Research Interests

Topic modeling.

Text mining.

Data mining.

Social influence analysis.

Publications

  1. Jianguang Du, Jing Jiang, Dandan Song, Lejian Liao. Topic Modeling with Document Relative Similarities. In Proceedings of the 24th International Joint Conference on Artificial Intelligence, IJCAI 2015. Acceptance rate = 23.2% (115 out of 496, machine learning track)
  2. Jianguang Du, Jing Jiang, Liu Yang, Dandan Song, Lejian Liao. ShellMiner: Mining Organizational Phrases in Argumentative Texts in Social Media. In Proceedings of the 14th IEEE International Conference on Data Mining, ICDM 2014. Acceptance rate = 19.7% (143 out of 727)
  3. Jianguang Du, Dandan Song, Lejian Liao, Xin Li, Li Liu, Guoqiang Li, Guanguo Gao and Guiying Wu. ReadBehavior: Reading Probabilities Modeling of Tweets via the Users' Retweeting Behaviors. In Proceedings of 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2014. Acceptance rate = 27% (100 out of 371)
  4. Guangcheng Liang, Lejian Liao, Xin Xu, Jianguang Du, Guoqiang Li and Henglong Zhao. Effective Fuzzing Based on Dynamic Taint Analysis. In the 9th International Conference on Computational Intelligence and Security, CIS 2013

Talks

  • "Topic Modeling with Document Relative Similarities", Jul 2015, at the 24th International Joint Conference on Artificial Intelligence (IJCAI 2015), Buenos Aires, Argentina.
  • "ShellMiner: Mining Organizational Phrases in Argumentative Texts in Social Media", Dec 2014, at the 14th IEEE International Conference on Data Mining (ICDM 2014), Shenzhen, China.
  • "Identifying Argumentative Discourse Structures in Persuasive Essays", Nov 2014, at Research Seminar of text mining group, Singapore Management University, Singapore.
  • "A coherence model based on syntactic patterns", Sep 2014, at Research Seminar of text mining group, Singapore Management University, Singapore.
  • "ReadBehavior: Reading Probabilities Modeling of Tweets via the Users' Retweeting Behaviors", Jun 2013, at season meeting of the 973 program, Changbaishan, Jilin, China (In Chinese).