Lei Huang (黄雷)
Lei Huang (黄雷)
Research Scientist, the Inception Institute of Artificial Intelligence
Verified email at inceptioniai.org - Homepage
Title
Cited by
Cited by
Year
Orthogonal weight normalization: Solution to optimization over multiple dependent stiefel manifolds in deep neural networks
L Huang, X Liu, B Lang, AW Yu, Y Wang, B Li
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
472018
Query-adaptive hash code ranking for large-scale multi-view visual search
X Liu, L Huang, C Deng, B Lang, D Tao
IEEE Transactions on Image Processing 25 (10), 4514-4524, 2016
462016
Multi-view complementary hash tables for nearest neighbor search
X Liu, L Huang, C Deng, J Lu, B Lang
Proceedings of the IEEE International Conference on Computer Vision, 1107-1115, 2015
422015
Decorrelated Batch Normalization
L Huang, D Yang, B Lang, J Deng
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
382018
MIAPS: A web-based system for remotely accessing and presenting medical images
H Shen, D Ma, Y Zhao, H Sun, S Sun, R Ye, L Huang, B Lang, Y Sun
computer methods and programs in biomedicine 113 (1), 266-283, 2014
362014
Query-adaptive hash code ranking for fast nearest neighbor search
T Ji, X Liu, C Deng, L Huang, B Lang
Proceedings of the 22nd ACM international conference on Multimedia, 1005-1008, 2014
222014
Centered weight normalization in accelerating training of deep neural networks
L Huang, X Liu, Y Liu, B Lang, D Tao
Proceedings of the IEEE International Conference on Computer Vision, 2803-2811, 2017
212017
AUDR: an advanced unstructured data repository
X Liu, B Lang, W Yu, J Luo, L Huang
2011 6th International Conference on Pervasive Computing and Applications …, 2011
202011
Online semi-supervised annotation via proxy-based local consistency propagation
L Huang, X Liu, B Ma, B Lang
Neurocomputing 149, 1573-1586, 2015
172015
DGCNN: Disordered graph convolutional neural network based on the Gaussian mixture model
B Wu, Y Liu, B Lang, L Huang
Neurocomputing 321, 346-356, 2018
132018
Collaborative Learning of Semi-Supervised Segmentation and Classification for Medical Images
Y Zhou, X He, L Huang, L Liu, F Zhu, S Cui, L Shao
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
82019
Learning Joint Multimodal Representation Based on Multi-fusion Deep Neural Networks
Z Gu, B Lang, T Yue, L Huang
International Conference on Neural Information Processing, 276-285, 2017
62017
Projection Based Weight Normalization for Deep Neural Networks
L Huang, X Liu, B Lang, B Li
Pattern Recognition 2020, arXiv preprint arXiv:1710.02338, 2017
62017
Graph-based active semi-supervised learning: A new perspective for relieving multi-class annotation labor
L Huang, Y Liu, X Liu, X Wang, B Lang
2014 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2014
62014
Efficient segmentation for region-based image retrieval using edge integrated minimum spanning tree
Y Liu, L Huang, S Wang, X Liu, B Lang
2016 23rd International Conference on Pattern Recognition (ICPR), 1929-1934, 2016
52016
Block-normalized gradient method: An empirical study for training deep neural network
AW Yu, L Huang, Q Lin, R Salakhutdinov, J Carbonell
arXiv preprint arXiv:1707.04822, 2017
42017
A novel rotation adaptive object detection method based on pair Hough model
Y Liu, L Huang, X Liu, B Lang
Neurocomputing 194, 246-259, 2016
42016
Iterative Normalization: Beyond Standardization towards Efficient Whitening
L Huang, Y Zhou, F Zhu, L Liu, L Shao
CVPR 2019, code: https://github.com/huangleiBuaa/IterNorm, 2019
32019
Efficient semi-supervised annotation with proxy-based local consistency propagation
L Huang, Y Wang, X Liu, B Lang
2013 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2013
32013
A general non-parametric active learning framework for classification on multiple manifolds
L Huang, Y Ma, X Liu
Pattern Recognition Letters, 2019
22019
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Articles 1–20