Weiyang Liu 个人学术档案 - 学术资源搜索

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	总计	2019 年至今
引用	9214	8604
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Zhiding YuPrincipal Research Scientist & Research Lead, NVIDIA Research在 nvidia.com 的电子邮件经过验证
Le SongBiomap, Mohamed bin Zayed University of Artificial Intelligence在 biomap.com 的电子邮件经过验证
Yandong WenMax Planck Institute for Intelligent Systems在 tuebingen.mpg.de 的电子邮件经过验证
Bhiksha RajCarnegie Mellon University在 cs.cmu.edu 的电子邮件经过验证
Adrian WellerDirector of Research, Machine Learning, University of Cambridge在 eng.cam.ac.uk 的电子邮件经过验证
Zhen LiuMila, University of Montreal & Max Planck Institute for Intelligent Systems在 umontreal.ca 的电子邮件经过验证
Bo DaiGoogle Brain & Georgia Tech在 google.com 的电子邮件经过验证
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETH在 tuebingen.mpg.de 的电子邮件经过验证
James M. RehgFounder Professor of Computer Science, University of Illinois at Urbana-Champaign在 illinois.edu 的电子邮件经过验证
Michael J. BlackMax Planck Institute for Intelligent Systems在 tuebingen.mpg.de 的电子邮件经过验证
Longhui YuPeking University在 stu.pku.edu.cn 的电子邮件经过验证
Shengchao LiuUC Berkeley & Caltech在 berkeley.edu 的电子邮件经过验证
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon U在 cs.cmu.edu 的电子邮件经过验证
Linda SmithProfessor Psychological and Brain Sciences, Indiana University在 indiana.edu 的电子邮件经过验证
Anima AnandkumarCalifornia Institute of Technology and NVIDIA在 caltech.edu 的电子邮件经过验证
Yuliang XiuMax Planck Institute for Intelligent Systems, Westlake University在 tue.mpg.de 的电子邮件经过验证
Andreas GeigerProfessor of Computer Science, University of Tübingen and Tübingen AI Center在 uni-tuebingen.de 的电子邮件经过验证
Hanchen WangGenentech, Stanford CS在 cs.stanford.edu 的电子邮件经过验证
Santosh S. VempalaGeorgia Tech在 gatech.edu 的电子邮件经过验证
Joshua B. TenenbaumMIT在 mit.edu 的电子邮件经过验证

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Weiyang Liu

University of Cambridge & Max Planck Institute for Intelligent Systems

在 cam.ac.uk 的电子邮件经过验证 - 首页

Machine Learning Computer Vision Artificial Intelligence


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	3376	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	1778	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	1460	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	336	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	248	2022
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	152	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	146	2017
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	136	2024
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	102	2022
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	98	2018
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	89	2023
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	88*	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	76	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	72	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	69	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	50	2020
Meta Architecture Search AE Shaw, W Wei, W Liu, L Song, B Dai NeurIPS 2019 (arXiv preprint arXiv:1812.09584), 2019	45	2019
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	42	2022
Structured occlusion coding for robust face recognition Y Wen, W Liu, M Yang, Y Fu, Y Xiang, R Hu Neurocomputing (arXiv preprint arXiv:1502.00478), 2016	40	2016

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