Dijun Luo

发表

Robust Principal Component Analysis with Non-Greedy l1-Norm Maximization

Feiping Nie, Chris H. Q. Ding, Hua Wang, 2011, IJCAI.

On the eigenvectors of p-Laplacian

Feiping Nie, Chris H. Q. Ding, Heng Huang, 2010, Machine Learning.

Low-order tensor decompositions for social tagging recommendation

Chris H. Q. Ding, Miao Zhang, Sharma Chakravarthy, 2011, WSDM '11.

Non-negative Laplacian Embedding

Chris H. Q. Ding, Heng Huang, Tao Li, 2009, 2009 Ninth IEEE International Conference on Data Mining.

Symmetric two dimensional linear discriminant analysis (2DLDA)

Chris H. Q. Ding, Heng Huang, Dijun Luo, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

ASICs aggravate acidosis-induced injuries during ischemic reperfusion

Xiaoxiang Zheng, Dijun Luo, Yi Yang, 2010, Neuroscience Letters.

Integrative molecular profiling reveals asparagine synthetase is a target in castration-resistant prostate cancer.

I. H. Koumakpayi, F. Saad, Wei Zhang, 2012, The American journal of pathology.

Multi-Subspace Representation and Discovery

Feiping Nie, Chris H. Q. Ding, Heng Huang, 2011, ECML/PKDD.

A new integrative data mining framework for analyzing the cancer genome atlas data

Heng Huang, Chris Ding, Dijun Luo, 2012 .

Toward structural sparsity: an explicit $$\ell _{2}/\ell _0$$ approach

Chris H. Q. Ding, Heng Huang, Dijun Luo, 2013, 2010 IEEE International Conference on Data Mining.

Consensus spectral clustering in near-linear time

Feiping Nie, Chris H. Q. Ding, Heng Huang, 2011, 2011 IEEE 27th International Conference on Data Engineering.

Graph Evolution via Social Diffusion Processes

Chris H. Q. Ding, Heng Huang, Dijun Luo, 2011, ECML/PKDD.

Parallelization with Multiplicative Algorithms for Big Data Mining

Chris H. Q. Ding, Heng Huang, Dijun Luo, 2012, 2012 IEEE 12th International Conference on Data Mining.

Are Tensor Decomposition Solutions Unique? On the Global Convergence HOSVD and ParaFac Algorithms pdf

Chris H. Q. Ding, Dijun Luo, Heng Huang, 2009, PAKDD.

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

Fei Wang, Jimeng Sun, Shahram Ebadollahi, 2012, SDM.

Linear Discriminant Analysis: New Formulations and Overfit Analysis

Chris H. Q. Ding, Heng Huang, Dijun Luo, 2011, AAAI.

Towards Structural Sparsity: An Explicit l2/l0 Approach

Chris H. Q. Ding, Heng Huang, Dijun Luo, 2010, ICDM.

Cauchy Graph Embedding

Feiping Nie, Chris H. Q. Ding, Heng Huang, 2011, ICML.

New Probabilistic Multi-graph Decomposition Model to Identify Consistent Human Brain Network Modules

Yang Wang, Andrew J. Saykin, Heng Huang, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

Distance Function Learning in Error-Correcting Output Coding Framework

Rong Xiong, Dijun Luo, R. Xiong, 2006, ICONIP.

Improved MinMax Cut Graph Clustering with Nonnegative Relaxation

Feiping Nie, Chris H. Q. Ding, Heng Huang, 2010, ECML/PKDD.

An improved error-correcting output coding framework with kernel-based decoding

Dijun Luo, Rong Xiong, R. Xiong, 2008, Neurocomputing.

Link prediction of multimedia social network via unsupervised face recognition

Heng Huang, Dijun Luo, Heng Huang, 2009, ACM Multimedia.

Forging The Graphs: A Low Rank and Positive Semidefinite Graph Learning Approach

Feiping Nie, Chris H. Q. Ding, Heng Huang, 2012, NIPS.

Discriminative high order SVD: Adaptive tensor subspace selection for image classification, clustering, and retrieval

Chris H. Q. Ding, Heng Huang, Dijun Luo, 2011, 2011 International Conference on Computer Vision.

Multi-Level Cluster Indicator Decompositions of Matrices and Tensors

Chris H. Q. Ding, Heng Huang, Dijun Luo, 2011, AAAI.

Simultaneous tensor subspace selection and clustering: the equivalence of high order svd and k-means clustering

Chris H. Q. Ding, Heng Huang, Tao Li, 2008, KDD.

Tensor reduction error analysis — Applications to video compression and classification

Chris H. Q. Ding, Heng Huang, Dijun Luo, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Simultaneous Tensor Subspace Selection and Clustering: the Equivalence of High Order Svd and K-means Clustering

Dijun Luo, Heng Huang, Chris H. Q. Ding, 2022 .

Combining Knowledge and Data Driven Insights for Identifying Risk Factors using Electronic Health Records

Fei Wang, Jimeng Sun, Shahram Ebadollahi, 2012, AMIA.