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Junzhou Huang
Junzhou Huang
Jenkins Garrett Professor, Computer Science and Engineering, the University of Texas at Arlington
Dirección de correo verificada de uta.edu - Página principal
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Año
Dropedge: Towards deep graph convolutional networks on node classification
Y Rong, W Huang, T Xu, J Huang
ICLR 2020 (arXiv preprint arXiv:1907.10903), 2019
15932019
Adaptive graph convolutional neural networks
R Li, S Wang, F Zhu, J Huang
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
9192018
Self-supervised graph transformer on large-scale molecular data
Y Rong, Y Bian, T Xu, W Xie, Y Wei, W Huang, J Huang
Advances in neural information processing systems 33, 12559-12571, 2020
8062020
Discrimination-aware channel pruning for deep neural networks
Z Zhuang, M Tan, B Zhuang, J Liu, Y Guo, Q Wu, J Huang, J Zhu
NeurIPS 2018 (arXiv preprint arXiv:1810.11809), 2018
7512018
Learning with structured sparsity
J Huang, T Zhang, D Metaxas
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
6732009
Learning multiscale active facial patches for expression analysis
L Zhong, Q Liu, P Yang, J Huang, DN Metaxas
IEEE transactions on cybernetics 45 (8), 1499-1510, 2014
6652014
Rumor detection on social media with bi-directional graph convolutional networks
T Bian, X Xiao, T Xu, P Zhao, W Huang, Y Rong, J Huang
Proceedings of the AAAI conference on artificial intelligence 34 (01), 549-556, 2020
6532020
The benefit of group sparsity
J Huang, T Zhang
The Annals of Statistics 38 (4), 1978-2004, 2010
6422010
Graph representation learning via graphical mutual information maximization
Z Peng, W Huang, M Luo, Q Zheng, Y Rong, T Xu, J Huang
Proceedings of The Web Conference 2020, 259-270, 2020
6082020
Robust tracking using local sparse appearance model and k-selection
B Liu, J Huang, L Yang, C Kulikowsk
CVPR 2011, 1313-1320, 2011
6072011
Graph convolutional networks for temporal action localization
R Zeng, W Huang, M Tan, Y Rong, P Zhao, J Huang, C Gan
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
6002019
Adaptive sampling towards fast graph representation learning
W Huang, T Zhang, Y Rong, J Huang
NeurIPS 2018 (arXiv preprint arXiv:1809.05343), 2018
5972018
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
5902015
Progressive feature alignment for unsupervised domain adaptation
C Chen, W Xie, W Huang, Y Rong, X Ding, Y Huang, T Xu, J Huang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
4922019
Smiles-bert: large scale unsupervised pre-training for molecular property prediction
S Wang, Y Guo, Y Wang, H Sun, J Huang
Proceedings of the 10th ACM international conference on bioinformatics …, 2019
4022019
Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks
J Yao, X Zhu, J Jonnagaddala, N Hawkins, J Huang
Medical Image Analysis 65, 101789, 2020
3892020
Efficient MR image reconstruction for compressed MR imaging
J Huang, S Zhang, D Metaxas
Medical Image Analysis 15 (5), 670-679, 2011
3752011
Pose-free facial landmark fitting via optimized part mixtures and cascaded deformable shape model
X Yu, J Huang, S Zhang, W Yan, DN Metaxas
Proceedings of the IEEE international conference on computer vision, 1944-1951, 2013
3342013
Wsisa: Making survival prediction from whole slide histopathological images
X Zhu, J Yao, F Zhu, J Huang
Proceedings of the IEEE conference on computer vision and pattern …, 2017
3312017
Early triage of critically ill COVID-19 patients using deep learning
W Liang, J Yao, A Chen, Q Lv, M Zanin, J Liu, SS Wong, Y Li, J Lu, ...
Nature communications 11 (1), 3543, 2020
3252020
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