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Zhu Dandan

点击数:   更新日期: 2018-04-15

 
 

朱丹丹。博士,副教授

中国石油大学(北京)计算机科学与技术系

办公地址:地质楼614

电子邮件:zhu.dd@cup.edu.cn

 

教育背景

  • 2011.10-2014.9,日本东京大学,博士研究生;
  • 2008.9-2011.3,北京航空航天大学,硕士研究生;
  • 2004.9-2008.6,中南大学,本科生。

 

工作经历

  • 2015.8至今,中国石油大学(北京)地球物理与信息工程学院计算机系,副教授;
  • 2015.3-2015.7,中国石油大学(北京)地球物理与信息工程学院计算机系,讲师;
  • 2015.4月至今,东京大学人工物工学研究中心,客座研究员;
  • 2014.10-2014.12, 东京大学人工物工学研究中心,特任研究员;
  • 2011.10-2014.3,东京大学Global Center of Excellence for Mechanical Systems Innovation Program,助理研究员。

 

研究领域

  • 机器学习
  • 知识挖掘

 

论文目录

  • Zhu, D., Fukazawa, Y., Karapetsas, E., & Ota, J. (2014). Activity-based topic discovery. Web Intelligence and Agent Systems, 12(2), 193-209.
  • Zhu, D., Fukazawa, Y., & Ota, J. (2014, January). Estimation of user's activity from tweets through tri-layer clustering model. In Mobile Computing and Ubiquitous Networking (ICMU), 2014 Seventh International Conference, IEEE., 159-164.
  • Zhu, D., Fukazawa, Y., & Ota, J. (2013, November). Tri-Layer-Cluster Generation Model for Activity Prediction. In Web Intelligence (WI) and Intelligent Agent Technologies (IAT), 2013 IEEE/WIC/ACM International Joint Conferences, IEEE., Vol. 1, 359-366.
  • Zhu, D., Fukazawa, Y., Karapetsas, E., & Ota, J. (2012, December). Intuitive Topic Discovery by Incorporating Word-Pair's Connection into LDA. In Web Intelligence and Intelligent Agent Technology (WI-IAT), 2012 IEEE/WIC/ACM International Conferences, IEEE., Vol. 1, 303-310.
  • Zhu, D., Fukazawa, Y., Karapetsas, E., & Ota, J. (2012). Long-Term Goal Discovery in the Twitter Posts through the Word-Pair LDA Model. In Advances in Natural Language Processing, Springer Berlin Heidelberg, 262-267
  • Zhu, D., Fukazawa, Y., Karapetsas, E., & Ota, J. (2012). Analysis of New Year's Resolutions Extracted from Twitter Post to Capture User's Long Term Goals, In IEICE SIG Notes, 41-42.