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
16392010
Ieee
K He, X Zhang, S Ren, J Sun
2016 Ieee Conference on Computer Vision and Pattern Recognition IEEE …, 2016
653*2016
Multi-view k-means clustering on big data
X Cai, F Nie, H Huang
Twenty-Third International Joint conference on artificial intelligence, 2013
4162013
Clustering and projected clustering with adaptive neighbors
F Nie, X Wang, H Huang
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
4112014
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
3492014
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
3252016
Robust nonnegative matrix factorization using l21-norm
D Kong, C Ding, H Huang
Proceedings of the 20th ACM international conference on Information and …, 2011
2692011
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
2642017
Multi-view clustering and feature learning via structured sparsity
H Wang, F Nie, H Huang
International conference on machine learning, 352-360, 2013
2572013
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
2272015
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
2212012
Multi-view subspace clustering
H Gao, F Nie, X Li, H Huang
Proceedings of the IEEE international conference on computer vision, 4238-4246, 2015
2182015
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
2142014
Heterogeneous image feature integration via multi-modal spectral clustering
X Cai, F Nie, H Huang, F Kamangar
CVPR 2011, 1977-1984, 2011
2132011
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
2092011
Optimal mean robust principal component analysis
F Nie, J Yuan, H Huang
International conference on machine learning, 1062-1070, 2014
1882014
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
1612014
Multi-label linear discriminant analysis
H Wang, C Ding, H Huang
Computer Vision–ECCV 2010, 126-139, 2010
1442010
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
1372015
Deep attributed network embedding
H Gao, H Huang
Twenty-Seventh International Joint Conference on Artificial Intelligence …, 2018
1342018
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