Yang Du, 杜杨


Graduate Student , Data Science Student,

Big Data Intelligence Lab, Institute of Software Chinese Academy of Sciences

Address 📮: 4# Building ,4# South Fourth Street, ZhongGuanCun, Beijing, 100190, P.R.China

Email 📧: iamduyang (-A-T-) outlook dot com

 


[Biography]           [Honors & Awards]           [Publications]           [Academic Services]           [CV]           [Data Sets]           [Hobbies]

Brief Biography

I am now a graduate student at Big Data Intelligence Lab, Institute of Software Chinese Academy of Sciences(ISCAS), researching on data mining and machine learning difficulties, focusing on developing effective, efficient, easy to use techniques for academic and industrial use. Prior to joining Big Data Intelligence Lab, I received my B.Eng. degree in 2015 in Electronic Information Engineering from Huazhong University of Science and Technology(HUST).

Currently, my research interests include social network mining and natural language processing.

My ORCID iD is ORCID iD iconorcid.org/0000-0002-6785-3273


Honors & Awards

  • 2015-2017, UCAS Postgraduate Studentship
  • 2015, Outstanding Graduate Award of HUST
  • 2015, Meritorious Winner, ICM:Interdisciplinary Contest in Modeling for Undergraduates
  • 2013, Second Prize (National), China Undergraduate Mathematical Contest in Modelling(全国大学生数学建模竞赛 国家级二等奖)

Publications

  • Zhili Ye, Yang Du, Fengge Wu. Graph-based Semi-supervised Classification with CRF and RNN (ICPR 2018 Accepted)
  • Wanling Zeng, Yang Du, Dingqian Zhang, Zhili Ye, Zhumei Dou. TUP-RS: Temporal User Profile based Recommender System (ICAISC 2018 Accepted)
  • Yang Du, Minglan Li, Mengxue Li. Joint Extraction of Argument Components and Relations (IALP2017, IEEE & EI Compendex)
  • Zhili Ye, Yang Du, Li Zhao. Predicting Personality Traits of Users in Social Networks (IDEAL2017, Core C)
  • Minglan Li, Yang Gao, Hui Wen, Yang Du, Haijing Liu, Hao Wang. Joint RNN Model for Argument Component Boundary Detection[J].(SMC2017, Core B)

Academic Services

  • Efforts need to be made!

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