Weiyang Liu
Weiyang Liu
Other names刘威杨
University of Cambridge & Max Planck Institute for Intelligent Systems
Verified email at - Homepage
Cited by
Cited by
SphereFace: Deep Hypersphere Embedding for Face Recognition
W Liu, Y Wen, Z Yu, M Li, B Raj, L Song
CVPR 2017, 2017
Large-Margin Softmax Loss for Convolutional Neural Networks
W Liu, Y Wen, Z Yu, M Yang
ICML 2016, 2016
Additive Margin Softmax for Face Verification
F Wang, W Liu, H Liu, J Cheng
ICLR 2018, 2018
Deep Hyperspherical Learning
W Liu, YM Zhang, X Li, Z Yu, B Dai, T Zhao, L Song
NIPS 2017, 2017
Iterative Learning with Open-set Noisy Labels
Y Wang, W Liu, X Ma, J Bailey, H Zha, L Song, ST Xia
CVPR 2018, 2018
Iterative Machine Teaching
W Liu, B Dai, A Humayun, C Tay, Y Chen, LB Smith, JM Rehg, L Song
ICML 2017, 2017
Learning towards Minimum Hyperspherical Energy
W Liu, R Lin, Z Liu, L Liu, Z Yu, B Dai, L Song
NIPS 2018, 2018
Simultaneous Edge Alignment and Learning
Z Yu, W Liu, Y Zou, C Feng, S Ramalingam, BVK Kumar, J Kautz
ECCV 2018, 2018
Decoupled Networks
W Liu, Z Liu, Z Yu, B Dai, R Lin, Y Wang, JM Rehg, L Song
CVPR 2018, 2018
Disjoint Mapping Network for Cross-modal Matching of Voices and Faces
Y Wen, MA Ismail, W Liu, B Raj, R Singh
ICLR 2019, 2019
Towards Black-box Iterative Machine Teaching
W Liu, B Dai, X Li, Z Liu, JM Rehg, L Song
ICML 2018, 2018
Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence
X Bai, H Wang, L Ma, Y Xu, J Gan, Z Fan, F Yang, K Ma, J Yang, S Bai, ...
Nature Machine Intelligence, 2021
Pre-training Molecular Graph Representation with 3D Geometry
S Liu, H Wang, W Liu, J Lasenby, H Guo, J Tang
ICLR 2022, 2022
Meta Architecture Search
AE Shaw, W Wei, W Liu, L Song, B Dai
NeurIPS 2019, 2019
Angular visual hardness
B Chen, W Liu, Z Yu, J Kautz, A Shrivastava, A Garg, A Anandkumar
ICML 2020, 2020
KCRC-LCD: Discriminative kernel collaborative representation with locality constrained dictionary for visual categorization
W Liu, Z Yu, L Lu, Y Wen, H Li, Y Zou
Pattern Recognition, 2015
Analysis-Synthesis Dictionary Learning for Universality-Particularity Representation Based Classification
M Yang, W Liu, W Luo, L Shen
AAAI 2016, 2016
Coupled Variational Bayes via Optimization Embedding
B Dai, H Dai, N He, W Liu, Z Liu, J Chen, L Xiao, L Song
NIPS 2018, 2018
Regularizing Neural Networks via Minimizing Hyperspherical Energy
R Lin, W Liu, Z Liu, C Feng, Z Yu, JM Rehg, L Xiong, L Song
CVPR 2020, 2020
Joint kernel dictionary and classifier learning for sparse coding via locality preserving K-SVD
W Liu, Z Yu, M Yang, L Lu, Y Zou
ICME 2015, 2015
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