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Prof. WANG Junhui (王軍輝)

PhD – University of Minnesota, USA

Professor

Contact Information

Office: Y6628 AC1
Phone: 34422153
Fax: 34420250
Email: j.h.wang@cityu.edu.hk
Web: Personal Homepage

Research Interests

  • Statistical machine learning and data mining
  • Unstructured data analysis
  • High-dimensional data analysis
  • Model assessment and model selection
Prof. Junhui Wang received his BSc from Peking University and PhD from University of Minnesota. Before joining CityU, he was Associate professor at University of Illinois at Chicago. His major research interests include statistical machine learning and data mining, unstructured data analysis, high-dimensional data analysis, and applications in engineering, finance and biomedical sciences.


Publication Show All Publications Show Prominent Publications


Journal

  • Dai, B. , Wang, J. , Shen, X. & Qu, A. (in press). Smooth neighborhood recommender systems. Journal of Machine Learning Research.
  • Bi, X. , Qu, A. , Wang, J. & Shen, X. (2017). A group-specific collaborative recommender. Journal of the American Statistical Association. 112. 1344 - 1353.
  • Wang, J. , Shen, X. , Sun, Y. & Qu, A. (2017). Automatic summarization by existing and novel tags. Biometrika. 104. 273 - 290.
  • Wang, J. , Shen, X. , Sun, Y. & Qu, A. (2016). Classification with unstructured predictors and an application to sentiment analysis. Journal of the American Statistical Association. 111. 1242 - 1253.
  • Yang, L. , Lv, S. & Wang, J. (2016). Model-free variable selection in reproducing kernel Hilbert space. Journal of Machine Learning Research. 17(78). 1 - 24.
  • Sun, W. , Wang, J. & Fang, Y. (2013). Consistent selection of tuning parameters in high-dimensional penalized regression. Journal of Machine Learning Research. 14. 3419 - 3440.
  • Wang, J. (2010). Consistent selection of the number of clusters via cross validation. Biometrika. 97. 893 - 904.
  • Wang, J. , Shen, X. & Pan, W. (2009). On large margin hierarchical classification with multiple paths. Journal of the American Statistical Association. 104. 1213 - 1223.
  • Wang, J. , Shen, X. & Pan, W. (2008). On efficient large margin semisupervised learning: methodology and theory. Journal of Machine Learning Research. 10. 719 - 742.
  • Wang, J. , Shen, X. & Liu, Y. (2008). Probability estimation for large margin classifiers. Biometrika. 95. 149 - 167.
  • Wang, J. & Shen, X. (2007). Large margin semi-supervised learning. Journal of Machine Learning Research. 8. 1867 - 1891.


Last update date : 09 Oct 2018