Yiwen Guo
Yiwen Guo
Research Scientist, Bytedance AI Lab
Verified email at bytedance.com - Homepage
TitleCited byYear
Incremental network quantization: Towards lossless CNNs with low-precision weights
A Zhou, A Yao, Y Guo, L Xu, Y Chen
International Conference on Learning Representations (ICLR), 2017
3842017
Dynamic network surgery for efficient DNNs
Y Guo, A Yao, Y Chen
Advances in Neural Information Processing Systems (NeurIPS), 1379-1387, 2016
3632016
Network sketching: Exploiting binary structure in deep CNNs
Y Guo, A Yao, H Zhao, Y Chen
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
392017
Deep Defense: Training DNNs with Improved Adversarial Robustness
Z Yan, Y Guo, C Zhang
Advances in Neural Information Processing Systems (NeurIPS), 417-426, 2018
29*2018
Physics Inspired Optimization on Semantic Transfer Features: An Alternative Method for Room Layout Estimation
H Zhao, M Lu, A Yao, Y Guo, Y Chen, L Zhang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
202017
Sparse DNNs with Improved Adversarial Robustness
Y Guo, C Zhang, C Zhang, Y Chen
Advances in Neural Information Processing Systems (NeurIPS), 240-249, 2018
192018
MiLDA: A graph embedding approach to multi-view face recognition
Y Guo, X Ding, JH Xue
Neurocomputing 151, 1255-1261, 2015
112015
Sufficient canonical correlation analysis
Y Guo, X Ding, C Liu, JH Xue
IEEE Transactions on Image Processing 25 (6), 2610-2619, 2016
52016
Fisher's linear discriminant embedded metric learning
Y Guo, X Ding, C Fang, JH Xue
Neurocomputing 143, 7-13, 2014
42014
Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks
Z Yan, Y Guo, C Zhang
Advances in Neural Information Processing Systems (NeurIPS), 3820-3829, 2019
32019
Compressing Deep Neural Networks With Sparse Matrix Factorization
K Wu, Y Guo, C Zhang
IEEE Transactions on Neural Networks and Learning Systems, 2019
2019
Adversarial Margin Maximization Networks
Z Yan, Y Guo, C Zhang
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019
2019
Deep Likelihood Network for Image Restoration with Multiple Degradations
Y Guo, W Zuo, C Zhang, Y Chen
arXiv preprint arXiv:1904.09105, 2019
2019
DATA: Differentiable ArchiTecture Approximation
J Chang, X Zhang, Y Guo, G Meng, S Xiang, C Pan
Advances in Neural Information Processing Systems (NeurIPS), 874-884, 2019
2019
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