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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
18962010
Clustering and projected clustering with adaptive neighbors
F Nie, X Wang, H Huang
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
5682014
Multi-view k-means clustering on big data
X Cai, F Nie, H Huang
Twenty-Third International Joint conference on artificial intelligence, 2013
5012013
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
4492016
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
4452014
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
3972017
Large-scale multi-view spectral clustering via bipartite graph
Y Li, F Nie, H Huang, J Huang
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
3292015
Multi-view subspace clustering
H Gao, F Nie, X Li, H Huang
Proceedings of the IEEE international conference on computer vision, 4238-4246, 2015
3282015
Robust nonnegative matrix factorization using l21-norm
D Kong, C Ding, H Huang
Proceedings of the 20th ACM international conference on Information and …, 2011
3122011
Multi-view clustering and feature learning via structured sparsity
H Wang, F Nie, H Huang
International conference on machine learning, 352-360, 2013
2952013
Low-rank matrix recovery via efficient schatten p-norm minimization
F Nie, H Huang, C Ding
Twenty-sixth AAAI conference on artificial intelligence, 2012
2632012
Heterogeneous image feature integration via multi-modal spectral clustering
X Cai, F Nie, H Huang, F Kamangar
CVPR 2011, 1977-1984, 2011
2522011
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
2462014
Robust principal component analysis with non-greedy ℓ1-norm maximization
F Nie, H Huang, C Ding, D Luo, H Wang
Twenty-Second International Joint Conference on Artificial Intelligence, 2011
2292011
Optimal mean robust principal component analysis
F Nie, J Yuan, H Huang
International conference on machine learning, 1062-1070, 2014
2192014
Deep attributed network embedding
H Gao, H Huang
Twenty-Seventh International Joint Conference on Artificial Intelligence …, 2018
2002018
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
1882014
A new simplex sparse learning model to measure data similarity for clustering
J Huang, F Nie, H Huang
Twenty-fourth international joint conference on artificial intelligence, 2015
1712015
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
1622015
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
1602012
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