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Semantic ScholarDijun Luo
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2010 – today
- 2016
[c28]Dijun Luo, Zhouyuan Huo, Yang Wang, Andrew J. Saykin, Li Shen, Heng Huang:
New Probabilistic Multi-graph Decomposition Model to Identify Consistent Human Brain Network Modules. ICDM 2016: 301-310- 2014
- [j4]Mengfan Shan, Guihai Chen, Dijun Luo, Xiaojun Zhu, Xiaobing Wu:
Building Maximum Lifetime Shortest Path Data Aggregation Trees in Wireless Sensor Networks. TOSN 11(1): 11:1-11:24 (2014) - [c27]Dijun Luo, Heng Huang:
Video Motion Segmentation Using New Adaptive Manifold Denoising Model. CVPR 2014: 65-72 - 2013
- [j3]Dijun Luo, Chris H. Q. Ding, Heng Huang:
Toward structural sparsity: an explicit ℓ2/ℓ0 approach. Knowl. Inf. Syst. 36(2): 411-438 (2013) - 2012
- [c26]Jimeng Sun, Jianying Hu, Dijun Luo, Marianthi Markatou, Fei Wang, Shahram Ebadollahi, Zahra Daar, Walter F. Stewart:
Combining Knowledge and Data Driven Insights for Identifying Risk Factors using Electronic Health Records. AMIA 2012 - [c25]Dijun Luo, Chris H. Q. Ding, Heng Huang:
Parallelization with Multiplicative Algorithms for Big Data Mining. ICDM 2012: 489-498 - [c24]Dijun Luo, Chris H. Q. Ding, Heng Huang, Feiping Nie:
Forging The Graphs: A Low Rank and Positive Semidefinite Graph Learning Approach. NIPS 2012: 2969-2977 - [c23]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: 576-587 - 2011
- [c22]Dijun Luo, Chris H. Q. Ding, Heng Huang:
Linear Discriminant Analysis: New Formulations and Overfit Analysis. AAAI 2011 - [c21]Dijun Luo, Chris H. Q. Ding, Heng Huang:
Multi-Level Cluster Indicator Decompositions of Matrices and Tensors. AAAI 2011 - [c20]Dijun Luo, Heng Huang, Chris H. Q. Ding:
Discriminative high order SVD: Adaptive tensor subspace selection for image classification, clustering, and retrieval. ICCV 2011: 1443-1448 - [c19]Dijun Luo, Chris H. Q. Ding, Heng Huang, Feiping Nie:
Consensus spectral clustering in near-linear time. ICDE 2011: 1079-1090 - [c18]
- [c17]Dijun Luo, Chris H. Q. Ding, Heng Huang:
Cluster Indicator Decomposition for Efficient Matrix Factorization. IJCAI 2011: 1384-1389 - [c16]Dijun Luo, Heng Huang:
Ball Ranking Machine for Content-Based Multimedia Retrieval. IJCAI 2011: 1390-1395 - [c15]Feiping Nie, Heng Huang, Chris H. Q. Ding, Dijun Luo, Hua Wang:
Robust Principal Component Analysis with Non-Greedy l1-Norm Maximization. IJCAI 2011: 1433-1438 - [c14]Dijun Luo, Xiaojun Zhu, Xiaobing Wu, Guihai Chen:
Maximizing lifetime for the shortest path aggregation tree in wireless sensor networks. INFOCOM 2011: 1566-1574 - [c13]Dijun Luo, Chris H. Q. Ding, Heng Huang:
Are Tensor Decomposition Solutions Unique? On the Global Convergence HOSVD and ParaFac Algorithms. PAKDD (1) 2011: 148-159 - [c12]Dijun Luo, Chris H. Q. Ding, Heng Huang:
Graph Evolution via Social Diffusion Processes. ECML/PKDD (2) 2011: 390-404 - [c11]Dijun Luo, Feiping Nie, Chris H. Q. Ding, Heng Huang:
Multi-Subspace Representation and Discovery. ECML/PKDD (2) 2011: 405-420 - [c10]Yuanzhe Cai, Miao Zhang, Dijun Luo, Chris H. Q. Ding, Sharma Chakravarthy:
Low-order tensor decompositions for social tagging recommendation. WSDM 2011: 695-704 - 2010
- [j2]Dijun Luo, Heng Huang, Chris H. Q. Ding, Feiping Nie:
On the eigenvectors of p-Laplacian. Machine Learning 81(1): 37-51 (2010) - [c9]Dijun Luo, Chris H. Q. Ding, Heng Huang:
Towards Structural Sparsity: An Explicit l2/l0 Approach. ICDM 2010: 344-353 - [c8]Feiping Nie, Chris H. Q. Ding, Dijun Luo, Heng Huang:
Improved MinMax Cut Graph Clustering with Nonnegative Relaxation. ECML/PKDD (2) 2010: 451-466
2000 – 2009
- 2009
- [c7]Dijun Luo, Chris H. Q. Ding, Heng Huang:
Symmetric two dimensional linear discriminant analysis (2DLDA). CVPR 2009: 2820-2827 - [c6]Dijun Luo, Chris H. Q. Ding, Heng Huang, Tao Li:
Non-negative Laplacian Embedding. ICDM 2009: 337-346 - [c5]Dijun Luo, Heng Huang:
Link prediction of multimedia social network via unsupervised face recognition. ACM Multimedia 2009: 805-808 - [i1]Dijun Luo, Heng Huang, Chris H. Q. Ding:
Are Tensor Decomposition Solutions Unique? On the global convergence of HOSVD and ParaFac algorithms. CoRR abs/0902.4521 (2009) - 2008
- [j1]Dijun Luo, Rong Xiong:
An improved error-correcting output coding framework with kernel-based decoding. Neurocomputing 71(16-18): 3131-3139 (2008) - [c4]Chris H. Q. Ding, Heng Huang, Dijun Luo:
Tensor reduction error analysis - Applications to video compression and classification. CVPR 2008 - [c3]Heng Huang, Chris H. Q. Ding, Dijun Luo, Tao Li:
Simultaneous tensor subspace selection and clustering: the equivalence of high order svd and k-means clustering. KDD 2008: 327-335 - [c2]Chris H. Q. Ding, Tao Li, Dijun Luo, Wei Peng:
Posterior probabilistic clustering using NMF. SIGIR 2008: 831-832 - 2006
- [c1]Dijun Luo, Rong Xiong:
Distance Function Learning in Error-Correcting Output Coding Framework. ICONIP (2) 2006: 1-10
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last updated on 2017-11-12 21:54 CET by the dblp team