Weiyang Liu

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Zhiding YuSenior Research Scientist, NVIDIA ResearchVerified email at nvidia.com
Le SongBiomap, Mohamed bin Zayed University of Artificial IntelligenceVerified email at biomap.com
Yandong WenMax Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Bhiksha RajCarnegie Mellon UniversityVerified email at cs.cmu.edu
Bo DaiResearch Scientist, Google BrainVerified email at google.com
Zhen LiuMILA, University of MontrealVerified email at umontreal.ca
James M. RehgProfessor of Computer Science, Georgia Institute of TechnologyVerified email at gatech.edu
Adrian WellerDirector of Research, Machine Learning, University of CambridgeVerified email at eng.cam.ac.uk
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; Professor at ETH Zürich, and DistinguishedVerified email at tuebingen.mpg.de
Chen Feng (冯晨)Tandon School of Engineering, New York UniversityVerified email at nyu.edu
Linda SmithProfessor Psychological and Brain Sciences, Indiana UniversityVerified email at indiana.edu
Liam PaullAssistant Professor - University of MontrealVerified email at iro.umontreal.ca
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UVerified email at cs.cmu.edu
Li XiongSamuel Dobbs Professor, Computer Science, Biomedical Informatics, Emory UniversityVerified email at emory.edu
Anima AnandkumarCalifornia Institute of Technology and NVIDIAVerified email at caltech.edu
Anshumali ShrivastavaRice University, ThirdAI Corp.Verified email at rice.edu
Hanjun DaiGoogle BrainVerified email at google.com
Umang BhattUniversity of CambridgeVerified email at cam.ac.uk
Santosh S. VempalaGeorgia TechVerified email at gatech.edu
Bradley C. LoveProfessor of Cognitive and Decision Sciences, University College LondonVerified email at ucl.ac.uk

Weiyang Liu

University of Cambridge & Max Planck Institute for Intelligent Systems

Verified email at cam.ac.uk - Homepage

Machine Learning Computer Vision


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	2587	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	1398	2016
Additive margin softmax for face verification F Wang, J Cheng, W Liu, H Liu ICLR 2018 (arXiv preprint arXiv:1801.05599), 2018	1088	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	247	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	129	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	119	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	110	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	76	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	56	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	54	2018
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	51	2018
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	50	2019
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	49*	2021
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	38	2020
Meta Architecture Search AE Shaw, W Wei, W Liu, L Song, B Dai NeurIPS 2019 (arXiv preprint arXiv:1812.09584), 2019	37	2019
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	33	2015
Analysis-Synthesis Dictionary Learning for Universality-Particularity Representation Based Classification M Yang, W Liu, W Luo, L Shen AAAI 2016, 2016	32	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	28	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 (arXiv preprint arXiv:1906.04892), 2020	23*	2020
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	21	2022

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