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Yong Guo
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Cited by
Year
Discrimination-aware Channel Pruning for Deep Neural Networks
Z Zhuang, M Tan, B Zhuang, J Liu, Y Guo, Q Wu, J Huang, J Zhu
NIPS 2018, 2018
4602018
Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution
Y Guo, J Chen, J Wang, Q Chen, J Cao, Z Deng, Y Xu, M Tan
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
1732020
NAT: Neural Architecture Transformer for Accurate and Compact Architectures
Y Guo, Y Zheng, M Tan, Q Chen, J Chen, P Zhao, J Huang
Neural Information Processing Systems (NeurIPS), 2019
562019
Auto-Embedding Generative Adversarial Networks for High Resolution Image Synthesis
Y Guo, Q Chen, J Chen, Q Wu, Q Shi, M Tan
IEEE Transactions on Multimedia, 2019
532019
Adversarial learning with local coordinate coding
J Cao*, Y Guo*, Q Wu, C Shen, J Huang, M Tan
International Conference on Machine Learning, 707-715, 2018
332018
Breaking the curse of space explosion: Towards efficient nas with curriculum search
Y Guo, Y Chen, Y Zheng, P Zhao, J Chen, J Huang, M Tan
International Conference on Machine Learning, 3822-3831, 2020
312020
Hierarchical neural architecture search for single image super-resolution
Y Guo, Y Luo, Z He, J Huang, J Chen
IEEE Signal Processing Letters, 2020
282020
Discrimination-aware network pruning for deep model compression
J Liu, B Zhuang, Z Zhuang, Y Guo, J Huang, J Zhu, M Tan
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
222021
Double Forward Propagation for Memorized Batch Normalization
Y Guo, Q Wu, C Deng, J Chen, M Tan
AAAI 2018, https://www.aaai.org/ocs/index.php/AAAI/, 2018
212018
Multi-way backpropagation for training compact deep neural networks
Y Guo, J Chen, Q Du, A Van Den Hengel, Q Shi, M Tan
Neural networks, 2020
192020
Dynamic extension nets for few-shot semantic segmentation
L Liu, J Cao, M Liu, Y Guo, Q Chen, M Tan
Proceedings of the 28th ACM international conference on multimedia, 1441-1449, 2020
152020
Dual reconstruction nets for image super-resolution with gradient sensitive loss
Y Guo, Q Chen, J Chen, J Huang, Y Xu, J Cao, P Zhao, M Tan
arXiv preprint arXiv:1809.07099, 2018
132018
Online feature selection of class imbalance via pa algorithm
C Han, YK Tan, JH Zhu, Y Guo, J Chen, QY Wu
Journal of Computer Science and Technology 31 (4), 673-682, 2016
132016
The shallow end: Empowering shallower deep-convolutional networks through auxiliary outputs
Y Guo, M Tan, Q Wu, J Chen, AVD Hengel, Q Shi
arXiv preprint arXiv:1611.01773, 2016
122016
Contrastive neural architecture search with neural architecture comparators
Y Chen, Y Guo, Q Chen, M Li, W Zeng, Y Wang, M Tan
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
92021
Disturbance-immune weight sharing for neural architecture search
S Niu, J Wu, Y Zhang, Y Guo, P Zhao, J Huang, M Tan
Neural Networks 144, 553-564, 2021
72021
Towards accurate and compact architectures via neural architecture transformer
Y Guo, Y Zheng, M Tan, Q Chen, Z Li, J Chen, P Zhao, J Huang
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
42021
Adaxpert: Adapting neural architecture for growing data
S Niu, J Wu, G Xu, Y Zhang, Y Guo, P Zhao, P Wang, M Tan
International Conference on Machine Learning, 8184-8194, 2021
32021
Conditional automated channel pruning for deep neural networks
Y Liu, Y Guo, J Guo, L Jiang, J Chen
IEEE Signal Processing Letters 28, 1275-1279, 2021
32021
Pareto-Frontier-aware neural architecture generation for diverse budgets
Y Guo, Y Chen, Y Zheng, Q Chen, P Zhao, J Chen, J Huang, M Tan
arXiv preprint arXiv:2103.00219, 2021
32021
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Articles 1–20