Follow
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
21192010
Clustering and projected clustering with adaptive neighbors
F Nie, X Wang, H Huang
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
7122014
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
5912016
Multi-view k-means clustering on big data
X Cai, F Nie, H Huang
Twenty-Third International Joint conference on artificial intelligence, 2013
5832013
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
5052017
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
5022014
Multi-view subspace clustering
H Gao, F Nie, X Li, H Huang
Proceedings of the IEEE international conference on computer vision, 4238-4246, 2015
4432015
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
4262015
Robust nonnegative matrix factorization using l21-norm
D Kong, C Ding, H Huang
Proceedings of the 20th ACM international conference on Information and …, 2011
3382011
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), 655-661, 2012
3092012
Multi-view clustering and feature learning via structured sparsity
H Wang, F Nie, H Huang
International conference on machine learning, 352-360, 2013
3082013
Heterogeneous image feature integration via multi-modal spectral clustering
X Cai, F Nie, H Huang, F Kamangar
CVPR 2011, 1977-1984, 2011
2722011
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
2682014
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
2532011
Optimal mean robust principal component analysis
F Nie, J Yuan, H Huang
International conference on machine learning, 1062-1070, 2014
2442014
Deep attributed network embedding
H Gao, H Huang
Twenty-Seventh International Joint Conference on Artificial Intelligence …, 2018
2392018
Deep learning-based image segmentation on multimodal medical imaging
Z Guo, X Li, H Huang, N Guo, Q Li
IEEE Transactions on Radiation and Plasma Medical Sciences 3 (2), 162-169, 2019
2302019
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
2302015
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
2032014
Heterogeneous memory enhanced multimodal attention model for video question answering
C Fan, X Zhang, S Zhang, W Wang, C Zhang, H Huang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
1812019
The system can't perform the operation now. Try again later.
Articles 1–20