| 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 | 269 | 2011 |
| Cauchy graph embedding D Luo, F Nie, H Huang, CH Ding Proceedings of the 28th International Conference on Machine Learning (ICML …, 2011 | 130 | 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 | 108 | 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, ... | 105* | |
| 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 | 78 | 2011 |
| On the eigenvectors of p-Laplacian D Luo, H Huang, C Ding, F Nie Machine Learning 81, 37-51, 2010 | 61 | 2010 |
| Toward structural sparsity: an explicit approach D Luo, C Ding, H Huang Knowledge and Information Systems, 1-28, 2012 | 60 | 2012 |
| 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 | 60 | 2011 |
| 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 | 48 | 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 |
| 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 | 45 | 2020 |
| 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 | 41 | 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 | 30 | 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 | 25 | 2010 |
| 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 | 22 | 2009 |
| Are tensor decomposition solutions unique? on the global convergence hosvd and parafac algorithms D Luo, C Ding, H Huang Pacific-Asia Conference on Knowledge Discovery and Data Mining, 148-159, 2011 | 21 | 2011 |
