Weiyang Liu

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	All	Since 2019
Citations	10164	9536
h-index	32	28
i10-index	48	45

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Zhiding YuPrincipal Research Scientist & Research Lead, 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
Adrian WellerDirector of Research, Machine Learning, University of CambridgeVerified email at eng.cam.ac.uk
Bhiksha RajCarnegie Mellon UniversityVerified email at cs.cmu.edu
Zhen LiuMila, University of Montreal & Max Planck Institute for Intelligent SystemsVerified email at umontreal.ca
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHVerified email at tuebingen.mpg.de
Bo DaiGoogle Brain & Georgia TechVerified email at google.com
Longhui YuUniversity of Toronto & Peking UniversityVerified email at stu.pku.edu.cn
Michael J. BlackMax Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Shengchao LiuUC BerkeleyVerified email at berkeley.edu
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UVerified email at cs.cmu.edu
Linda SmithProfessor Psychological and Brain Sciences, Indiana UniversityVerified email at indiana.edu
Anima AnandkumarCalifornia Institute of Technology and NVIDIAVerified email at caltech.edu
Yuliang XiuMax Planck Institute for Intelligent SystemsVerified email at tue.mpg.de
Andreas GeigerProfessor of Computer Science, University of Tübingen and Tübingen AI CenterVerified email at uni-tuebingen.de
Santosh S. VempalaGeorgia TechVerified email at gatech.edu
Joshua B. TenenbaumMITVerified email at mit.edu

Weiyang Liu

University of Cambridge & Max Planck Institute for Intelligent Systems

Verified email at cam.ac.uk - Homepage

Machine Learning Computer Vision Artificial Intelligence


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	3573	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	1902	2016
Additive margin softmax for face verification F Wang, W Liu, J Cheng, H Liu ICLR Workshop 2018, IEEE Signal Processing Letters (arXiv preprint arXiv …, 2018	1548	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	364	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	326	2022
Metamath: Bootstrap your own mathematical questions for large language models L Yu, W Jiang, H Shi, J Yu, Z Liu, Y Zhang, JT Kwok, Z Li, A Weller, W Liu ICLR 2024 (arXiv preprint arXiv:2309.12284), 2024	296	2024
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	165	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	161	2018
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	154	2017
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	126	2022
MeshDiffusion: Score-based Generative 3D Mesh Modeling Z Liu, Y Feng, MJ Black, D Nowrouzezahrai, L Paull, W Liu ICLR 2023 (arXiv preprint arXiv:2303.08133), 2023	125	2023
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	103	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	95*	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	84	2019
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	77	2018
Controlling Text-to-Image Diffusion by Orthogonal Finetuning Z Qiu, W Liu, H Feng, Y Xue, Y Feng, Z Liu, D Zhang, A Weller, ... NeurIPS 2023 (arXiv preprint arXiv:2306.07280), 2023	72	2023
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	67	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	52	2020
SphereFace2: Binary Classification is All You Need for Deep Face Recognition Y Wen, W Liu, A Weller, B Raj, R Singh ICLR 2022 (arXiv preprint arXiv:2108.01513), 2022	51	2022
Meta Architecture Search AE Shaw, W Wei, W Liu, L Song, B Dai NeurIPS 2019 (arXiv preprint arXiv:1812.09584), 2019	45	2019

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