Changying Du   杜长营   CV

Ph.D. Candidate
Key Lab of Intelligent Information Processing
of Chinese Academy of Sciences (CAS),
Institute of Computing Technology, CAS
No.6 Kexueyuan South Road Zhongguancun,
Haidian District Beijing, China

Tel: (8610) 6260-0506
Homepage: http://www.intsci.ac.cn/users/duchangying
Email: ducy@ics.ict.ac.cn




About Me | Education | Awards | Research Interests | Publications | Links ]


Now I am a sixth year Ph.D. Candidate in Computer Science at the Institute of Computing Technology, Chinese Academy of Sciences. My supervisor is Prof. Qing He. Currently I am working on Bayesian latent variable models for machine learning and data mining. I will graduate in July, 2015, and from then on I will be an assistant professor at the Institute of Software, Chinese Academy of Sciences.


 About Me


I was born in August, 1985 in Yuncheng County, Shandong Province, China and received my bachelor's degree from the Department of Mathematics at Central South University in 2008. Now I am a Ph.D. Candidate in Computer Science at ICT, CAS, and I am in the Key Laboratory of Intelligent Information Processing, which is directed by Prof. Xilin Chen. Belonging to the Key lab of IIP, we further have a Intelligence Science sub-lab led by Prof. Zhongzhi Shi. My supervisor is Prof. Qing He, who is directing the Machine Learning and Data Mining (MLDM) group of our lab. I like reading, watching football match, listening to music and travelling at my leisure time. I am good at Chinese chess.


 Education



 Awards


  • Inspur Outstanding Ph.D. Scholarship, Institute of Computing Technology, CAS, January 2015

  • Best paper award of MLDM group, Institute of Computing Technology, CAS, January 2015

  • Excellent Student, University of Chinese Academy of Sciences, June 2014

  • Excellent Student, University of Chinese Academy of Sciences, June 2013

  • Award from China Scholarship Council for one year abroad study, May 2013

  • ICDM 2012 Student Travel Award, October 2012

  • Excellent Student, University of Chinese Academy of Sciences, June 2011

  • Director's Excellence Scholarship, Institute of Computing Technology, CAS, January 2011

 Research Interests


  • Fields: Machine learning, Data mining, Pattern recognition, Multi-task learning, Transfer learning, Semi-supervised learning, Dimensionality reduction and subspace learning, Nonparametric Bayesian statistics, Parallel data mining, Text mining, Missing value prediction

  • Models: Topic models, Latent variable models, Dirichlet process mixtures, Hierarchical Dirichlet processes, Gaussian processes, Indian Buffet processes, SVM and large margin learning

  • Techniques: MCMC and Gibbs sampling, Variational Bayesian inference, Expectation-Maximization (EM), Matrix factorization, Kernel methods


 Publications


  • Changying Du, Shandian Zhe, Fuzhen Zhuang, Yuan Qi, Qing He, Zhongzhi Shi. Bayesian Maximum Margin PCA. The 29th AAAI Conference on Artificial Intelligence (AAAI-15), Austin, Texas, USA, January 25-30, 2015.  (AAAI 2015 Oral)

2014
  • Xin Jin, Fuzhen Zhuang, Hui Xiong, Changying Du, Ping Luo, Qing He. Multi-task Multi-view Learning for Heterogeneous Tasks. The 23rd ACM International Conference on Information and Knowledge Management (CIKM-14), Shanghai, China, November 3-7, 2014.  (CIKM 2014 Oral)

  • Changying Du, Jia He, Fuzhen Zhuang, Yuan Qi, Qing He. Nonparametric Bayesian Multi-Task Large-margin Classification. The 21st European Conference on Artificial Intelligence (ECAI-14), Prague, Czech Republic, August 18-22, 2014.  (ECAI 2014 Long paper)

  • Fuzhen Zhuang, Ping Luo, Changying Du, Qing He, Zhongzhi Shi, Hui Xiong. Triplex Transfer Learning: Exploiting Both Shared and Distinct Concepts for Text Classification. IEEE Transactions on Cybernetics 44(7), pp. 1191-1203, 2014.  (IEEE T. Cybernetics,  IF=3.781)

  • Qing He, Xin Jin, Changying Du, Fuzhen Zhuang, Zhongzhi Shi. Clustering in Extreme Learning Machine Feature Space. Neurocomputing 128, pp. 88-95, 2014.  (Neurocomputing,  IF=2.102)

2013 and before
 Links


 






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Last Modified:   Jan. 24, 2015