Dijun Luo, PhD

Contact

Email: dijun y luo x gmail y com where x=at and y=dot

Home page: http://sites.google.com/site/dijunluo/

Bio

Dijun Luo is currently a data scientist at RetailMeNot, Inc. He received PhD in Computer Science and Engineering Department of University of Texas at Arlington in 2012 and earned a B.S. degree in Biomedical Engineering and M.S. degree in Control Theory and Engineering from Zhejiang University in 2004 and 2006 respectively. 



Research interests


Big Data machine learning, data mining, and visualization. 


Selected Honors and Awards [full list]


Best student paper runner up, 
ECML 2011

Best research paper runner up, ICDM 2010

Best paper finalist, ECML 2010

Third place, Robocup international competition 2005, Osaka, Japan.

Champion, Chinese Robocup Competition 2005

Champion, Chinese Robocup Competition 2004




Selected Publications [full list]


[1] Dijun Luo, Chris Ding, Heng Huang, Feiping Nie. Forging The Graphs: A Low Rank and

     Positive Semi-Definite Graph Learning Approach, NIPS 2012.


[1] Dijun Luo, Fei Wang, Jimeng Sun, Marianthi Markatou, Jianying Hu,Shahram Ebadollahi. 

     SOR: Scalable Orthogonal Regression for Low-Redundancy Feature Selection and its

     Healthcare Applications. SDM 2012.


[2] Dijun Luo, Heng Huang, Chris Ding, Feiping Nie. On The Eigenvectors of p-Laplacian.  

     Machine Learning.     [PDF]


[3] Dijun Luo, Feiping Nie, Chris Ding, Heng Huang. Multi-Subspace Representation and

     Discovery, ECMLPKDD 2011 . [PDF]


[4] Dijun Luo, Feiping Nie, Chris Ding, Heng Huang. Cauchy Graph Embedding. ICML 2011. 

     [PDF]

[5] Dijun Luo, Chris Ding, Heng Huang. Towards Structural Sparsity: An Explicit l2/l0
     Approach. ICDM 2010.
[PDF]

[6] Dijun Luo, Chris Ding, Heng Huang. Non-negative Laplacian Embedding. ICDM 2009. [PDF]


[7] Heng Huang , Chris Ding, Dijun Luo, Tao Li. Simultaneous Tensor Subspace Selection and

     Clustering: The Equivalence of High Order SVD and K-Means Clustering. KDD 2008. [PDF]

    

    


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Last updated: Jan, 2013