Robust principal component analysis with non-greedy l1-norm maximization F Nie, H Huang, C Ding, D Luo, H Wang IJCAI proceedings-international joint conference on artificial intelligence …, 2011 | 274 | 2011 |
Cauchy graph embedding D Luo, F Nie, H Huang, CH Ding Proceedings of the 28th International Conference on Machine Learning (ICML …, 2011 | 138 | 2011 |
Improved minmax cut graph clustering with nonnegative relaxation F Nie, C Ding, D Luo, H Huang Machine Learning and Knowledge Discovery in Databases: European Conference …, 2010 | 118 | 2010 |
Combining Knowledge and Data Driven Insights for Identifying Risk Factors using Electronic Health Records J Sun, J Hu, D Luo, M Markatou, F Wang, S Edabollahi, SE Steinhubl, ... | 112* | |
Simultaneous tensor subspace selection and clustering: the equivalence of high order svd and k-means clustering H Huang, C Ding, D Luo, T Li Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008 | 100 | 2008 |
Multi-subspace representation and discovery D Luo, F Nie, C Ding, H Huang Machine Learning and Knowledge Discovery in Databases: European Conference …, 2011 | 79 | 2011 |
On the eigenvectors of p-Laplacian D Luo, H Huang, C Ding, F Nie Machine Learning 81, 37-51, 2010 | 64 | 2010 |
Linear discriminant analysis: New formulations and overfit analysis D Luo, C Ding, H Huang Proceedings of the AAAI Conference on Artificial Intelligence 25 (1), 417-422, 2011 | 61 | 2011 |
Focal: Efficient fully-offline meta-reinforcement learning via distance metric learning and behavior regularization L Li, R Yang, D Luo arXiv preprint arXiv:2010.01112, 2020 | 60 | 2020 |
Toward structural sparsity: an explicit approach D Luo, C Ding, H Huang Knowledge and Information Systems, 1-28, 2012 | 59 | 2012 |
Low-order tensor decompositions for social tagging recommendation Y Cai, M Zhang, D Luo, C Ding, S Chakravarthy Proceedings of the fourth ACM international conference on Web search and …, 2011 | 51 | 2011 |
Non-negative laplacian embedding D Luo, C Ding, H Huang, T Li 2009 Ninth IEEE International Conference on Data Mining, 337-346, 2009 | 46 | 2009 |
Parallelization with multiplicative algorithms for big data mining D Luo, C Ding, H Huang 2012 IEEE 12th International Conference on Data Mining, 489-498, 2012 | 42 | 2012 |
SOR: Scalable Orthogonal Regression for Non-Redundant Feature Selection and its Healthcare Applications D Luo, F Wang, J Sun, M Markatou, J Hu, S Ebadollahi SIAM Data Mining Conference, 2012 | 35 | 2012 |
Tensor reduction error analysis—Applications to video compression and classification C Ding, H Huang, D Luo 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008 | 29 | 2008 |
Consensus spectral clustering in near-linear time D Luo, C Ding, H Huang, F Nie 2011 IEEE 27th International Conference on Data Engineering, 1079-1090, 2011 | 26 | 2011 |
ASICs aggravate acidosis-induced injuries during ischemic reperfusion L Gu, X Liu, Y Yang, D Luo, X Zheng Neuroscience letters 479 (1), 63-68, 2010 | 26 | 2010 |
Deep reinforcement learning for greenhouse climate control L Wang, X He, D Luo 2020 IEEE International Conference on Knowledge Graph (ICKG), 474-480, 2020 | 25 | 2020 |
Forging The Graphs: A Low Rank and Positive Semidefinite Graph Learning Approach D Luo, C Ding, H Huang, F Nie Advances in Neural Information Processing Systems 25, 2969-2977, 2012 | 24 | 2012 |
Symmetric two dimensional linear discriminant analysis (2DLDA) D Luo, C Ding, H Huang 2009 IEEE Conference on Computer Vision and Pattern Recognition, 2820-2827, 2009 | 23 | 2009 |