Liwei Wang
Liwei Wang
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Zitiert von
Zitiert von
On the Euclidean distance of images
L Wang, Y Zhang, J Feng
IEEE transactions on pattern analysis and machine intelligence 27 (8), 1334-1339, 2005
Dual learning for machine translation
Y Xia, D He, T Qin, L Wang, N Yu, TY Liu, WY Ma
arXiv preprint arXiv:1611.00179, 2016
Gradient descent finds global minima of deep neural networks
S Du, J Lee, H Li, L Wang, X Zhai
International Conference on Machine Learning, 1675-1685, 2019
The expressive power of neural networks: A view from the width
Z Lu, H Pu, F Wang, Z Hu, L Wang
arXiv preprint arXiv:1709.02540, 2017
A theoretical analysis of NDCG ranking measures
Y Wang, L Wang, Y Li, D He, W Chen, TY Liu
Proceedings of the 26th annual conference on learning theory (COLT 2013) 8, 6, 2013
Accurate pulmonary nodule detection in computed tomography images using deep convolutional neural networks
J Ding, A Li, Z Hu, L Wang
International Conference on Medical Image Computing and Computer-Assisted …, 2017
The equivalence of two-dimensional PCA to line-based PCA
L Wang, X Wang, X Zhang, J Feng
Pattern Recognition Letters 26 (1), 57-60, 2005
Learning to navigate for fine-grained classification
Z Yang, T Luo, D Wang, Z Hu, J Gao, L Wang
Proceedings of the European Conference on Computer Vision (ECCV), 420-435, 2018
Reppoints: Point set representation for object detection
Z Yang, S Liu, H Hu, L Wang, S Lin
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
Subspace distance analysis with application to adaptive bayesian algorithm for face recognition
L Wang, X Wang, J Feng
Pattern recognition 39 (3), 456-464, 2006
On image matrix based feature extraction algorithms
L Wang, X Wang, J Feng
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 36 …, 2006
On the depth of deep neural networks: A theoretical view
S Sun, W Chen, L Wang, X Liu, TY Liu
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
Frage: Frequency-agnostic word representation
C Gong, D He, X Tan, T Qin, L Wang, TY Liu
arXiv preprint arXiv:1809.06858, 2018
Learning from weak and noisy labels for semantic segmentation
Z Lu, Z Fu, T Xiang, P Han, L Wang, X Gao
IEEE transactions on pattern analysis and machine intelligence 39 (3), 486-500, 2016
Generalization bounds of SGLD for non-convex learning: Two theoretical viewpoints
W Mou, L Wang, X Zhai, K Zheng
Conference on Learning Theory, 605-638, 2018
Efficient private ERM for smooth objectives
J Zhang, K Zheng, W Mou, L Wang
arXiv preprint arXiv:1703.09947, 2017
A refined margin analysis for boosting algorithms via equilibrium margin
L Wang, M Sugiyama, Z Jing, C Yang, ZH Zhou, J Feng
The Journal of Machine Learning Research 12, 1835-1863, 2011
Improving the generalization of adversarial training with domain adaptation
C Song, K He, L Wang, JE Hopcroft
arXiv preprint arXiv:1810.00740, 2018
Cross-lingual knowledge graph alignment via graph matching neural network
K Xu, L Wang, M Yu, Y Feng, Y Song, Z Wang, D Yu
arXiv preprint arXiv:1905.11605, 2019
On the margin explanation of boosting algorithms.
L Wang, M Sugiyama, C Yang, ZH Zhou, J Feng
COLT, 479-490, 2008
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