Heng Huang
Heng Huang
John A. Jurenko Endowed Professor, Electrical and Computer Engineering, University of Pittsburgh
Verified email at pitt.edu
Title
Cited by
Cited by
Year
Efficient and robust feature selection via joint l2, 1-norms minimization
F Nie, H Huang, X Cai, C Ding
Advances in Neural Information Processing Systems 23, 1813-1821, 2010
15602010
Multi-view k-means clustering on big data
X Cai, F Nie, H Huang
Twenty-Third International Joint conference on artificial intelligence, 2013
3862013
Clustering and projected clustering with adaptive neighbors
F Nie, X Wang, H Huang
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
3802014
Using smart meter data to improve the accuracy of intraday load forecasting considering customer behavior similarities
FL Quilumba, WJ Lee, H Huang, DY Wang, RL Szabados
IEEE Transactions on Smart Grid 6 (2), 911-918, 2014
3232014
The constrained laplacian rank algorithm for graph-based clustering
F Nie, X Wang, M Jordan, H Huang
Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016
2922016
Robust nonnegative matrix factorization using l21-norm
D Kong, C Ding, H Huang
Proceedings of the 20th ACM international conference on Information and …, 2011
2592011
Multi-view clustering and feature learning via structured sparsity
H Wang, F Nie, H Huang
International conference on machine learning, 352-360, 2013
2442013
Deep clustering via joint convolutional autoencoder embedding and relative entropy minimization
K Ghasedi Dizaji, A Herandi, C Deng, W Cai, H Huang
Proceedings of the IEEE international conference on computer vision, 5736-5745, 2017
2292017
Low-rank matrix recovery via efficient schatten p-norm minimization
F Nie, H Huang, C Ding
Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 2012
2092012
Large-scale multi-view spectral clustering via bipartite graph
Y Li, F Nie, H Huang, J Huang
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
2062015
Heterogeneous image feature integration via multi-modal spectral clustering
X Cai, F Nie, H Huang, F Kamangar
CVPR 2011, 1977-1984, 2011
2042011
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
2032011
A convex formulation for semi-supervised multi-label feature selection
X Chang, F Nie, Y Yang, H Huang
Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014
2022014
Multi-view subspace clustering
H Gao, F Nie, X Li, H Huang
Proceedings of the IEEE international conference on computer vision, 4238-4246, 2015
1932015
Optimal mean robust principal component analysis
F Nie, J Yuan, H Huang
International conference on machine learning, 1062-1070, 2014
1852014
Robust manifold nonnegative matrix factorization
J Huang, F Nie, H Huang, C Ding
ACM Transactions on Knowledge Discovery from Data (TKDD) 8 (3), 1-21, 2014
1542014
Multi-label linear discriminant analysis
H Wang, C Ding, H Huang
Computer Vision–ECCV 2010, 126-139, 2010
1382010
Identifying quantitative trait loci via group-sparse multitask regression and feature selection: an imaging genetics study of the ADNI cohort
H Wang, F Nie, H Huang, S Kim, K Nho, SL Risacher, AJ Saykin, L Shen, ...
Bioinformatics 28 (2), 229-237, 2012
1342012
Sparse representation of whole-brain fMRI signals for identification of functional networks
J Lv, X Jiang, X Li, D Zhu, H Chen, T Zhang, S Zhang, X Hu, J Han, ...
Medical image analysis 20 (1), 112-134, 2015
1282015
Sparse multi-task regression and feature selection to identify brain imaging predictors for memory performance
H Wang, F Nie, H Huang, S Risacher, C Ding, AJ Saykin, L Shen
2011 International Conference on Computer Vision, 557-562, 2011
1202011
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