Gao Huang (黄高)
Gao Huang (黄高)
Associate Professor, Tsinghua University
Verified email at - Homepage
Cited by
Cited by
Convolutional Networks with Dense Connectivity
G Huang, Z Liu, G Pleiss, L Van Der Maaten, K Weinberger
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
Deep Networks with Stochastic Depth
G Huang, Y Sun, Z Liu, D Sedra, KQ Weinberger
European Conference on Computer Vision (ECCV), 646-661, 2016
Learning efficient convolutional networks through network slimming
Z Liu, J Li, Z Shen, G Huang, S Yan, C Zhang
IEEE International Conference on Computer Vision (ICCV), 2736-2744, 2017
Trends in extreme learning machines: A review
G Huang, GB Huang, S Song, K You
Neural Networks 61, 32-48, 2015
Rethinking the value of network pruning
Z Liu, M Sun, T Zhou, G Huang, T Darrell
International Conference on Learning Representations (ICLR), 2018
Semi-supervised and unsupervised extreme learning machines
G Huang, S Song, JND Gupta, C Wu
IEEE Transactions on Cybernetics 44 (12), 2405 - 2417, 2014
Snapshot ensembles: Train 1, get M for free
G Huang, Y Li, G Pleiss, Z Liu, JE Hopcroft, KQ Weinberger
International Conference on Learning Representations (ICLR), 2017
CondenseNet: An Efficient DenseNet using Learned Group Convolutions
G Huang, S Liu, L van der Maaten, KQ Weinberger
IEEE Conference on Pattern Recognition and Computer Vision (CVPR) 3 (12), 11, 2018
Multi-scale dense networks for resource efficient image classification
G Huang, D Chen, T Li, F Wu, L van der Maaten, KQ Weinberger
International Conference on Learning Representations (ICLR), 2018
Horizontal pyramid matching for person re-identification
Y Fu, Y Wei, Y Zhou, H Shi, G Huang, X Wang, Z Yao, T Huang
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 33 …, 2019
Resource Aware Person Re-identification across Multiple Resolutions
Y Wang, L Wang, Y You, X Zou, V Chen, S Li, G Huang, B Hariharan, ...
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 8042-8051, 2018
An empirical study on evaluation metrics of generative adversarial networks
Q Xu, G Huang, Y Yuan, C Guo, Y Sun, F Wu, K Weinberger
arXiv preprint arXiv:1806.07755, 2018
Supervised word mover's distance
G Huang, C Guo, MJ Kusner, Y Sun, F Sha, KQ Weinberger
Advances in Neural Information Processing Systems (NIPS), 4862-4870, 2016
Densely connected convolutional networks. arXiv 2016
G Huang, Z Liu, L van der Maaten, KQ Weinberger
arXiv preprint arXiv:1608.06993 1608, 2018
Memory-efficient implementation of densenets
G Pleiss, D Chen, G Huang, T Li, L van der Maaten, KQ Weinberger
Technical Report, 2017
Domain invariant and class discriminative feature learning for visual domain adaptation
S Li, S Song, G Huang, Z Ding, C Wu
IEEE transactions on image processing 27 (9), 4260-4273, 2018
Gradient boosted feature selection
Z Xu, G Huang, KQ Weinberger, AX Zheng
SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD …, 2014
Maaten Lvd, Weinberger KQ. Densely Connected Convolutional Networks
G Huang, Z Liu
2017 IEEE conference on computer vision and pattern recognition (CVPR) 2261 …, 2017
Anytime stereo image depth estimation on mobile devices
Y Wang, Z Lai, G Huang, BH Wang, L Van Der Maaten, M Campbell, ...
2019 International Conference on Robotics and Automation (ICRA), 5893-5900, 2019
Dynamic neural networks: A survey
Y Han, G Huang, S Song, L Yang, H Wang, Y Wang
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
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