Weiyang Liu
Weiyang Liu
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 (arXiv preprint arXiv:1704.08063), 2017
Large-margin softmax loss for convolutional neural networks
W Liu, Y Wen, Z Yu, M Yang
ICML 2016 (arXiv preprint arXiv:1612.02295), 2016
Additive margin softmax for face verification
F Wang, W Liu, J Cheng, H Liu
ICLR 2018 (arXiv preprint arXiv:1801.05599), 2018
Iterative Learning with Open-set Noisy Labels
Y Wang, W Liu, X Ma, J Bailey, H Zha, L Song, ST Xia
CVPR 2018 (arXiv preprint arXiv:1804.00092), 2018
Iterative Machine Teaching
W Liu, B Dai, A Humayun, C Tay, Y Chen, LB Smith, JM Rehg, L Song
ICML 2017 (arXiv preprint arXiv:1705.10470), 2017
Deep hyperspherical learning
W Liu, YM Zhang, X Li, Z Yu, B Dai, T Zhao, L Song
NIPS 2017 (arXiv preprint arXiv:1711.03189), 2017
Learning towards Minimum Hyperspherical Energy
W Liu, R Lin, Z Liu, L Liu, Z Yu, B Dai, L Song
NIPS 2018 (arXiv preprint arXiv:1805.09298), 2018
Simultaneous Edge Alignment and Learning
Z Yu, W Liu, Y Zou, C Feng, S Ramalingam, BVK Kumar, J Kautz
ECCV 2018 (arXiv preprint arXiv:1808.01992), 2018
Pre-training molecular graph representation with 3d geometry
S Liu, H Wang, W Liu, J Lasenby, H Guo, J Tang
ICLR 2022 (arXiv preprint arXiv:2110.07728), 2022
Decoupled Networks
W Liu, Z Liu, Z Yu, B Dai, R Lin, Y Wang, JM Rehg, L Song
CVPR 2018 (arXiv preprint arXiv:1804.08071), 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 (arXiv preprint arXiv:2111.09461), 2021
Disjoint Mapping Network for Cross-modal Matching of Voices and Faces
Y Wen, MA Ismail, W Liu, B Raj, R Singh
ICLR 2019 (arXiv preprint arXiv:1807.04836), 2019
Towards Black-box Iterative Machine Teaching
W Liu, B Dai, X Li, Z Liu, JM Rehg, L Song
ICML 2018 (arXiv preprint arXiv:1710.07742), 2018
Angular visual hardness
B Chen, W Liu, Z Yu, J Kautz, A Shrivastava, A Garg, A Anandkumar
ICML 2020 (arXiv preprint arXiv:1912.02279), 2020
Meta Architecture Search
AE Shaw, W Wei, W Liu, L Song, B Dai
NeurIPS 2019 (arXiv preprint arXiv:1812.09584), 2019
Analysis-Synthesis Dictionary Learning for Universality-Particularity Representation Based Classification
M Yang, W Liu, W Luo, L Shen
AAAI 2016, 2016
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 (arXiv preprint arXiv:1410.4673), 2015
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
Towards Principled Disentanglement for Domain Generalization
H Zhang, YF Zhang, W Liu, A Weller, B Schölkopf, EP Xing
CVPR 2022 (arXiv preprint arXiv:2111.13839), 2022
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 (arXiv preprint arXiv:1906.04892), 2020
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