Pan Zhou

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Shuicheng Yan, Fellow of AAAI, ACM,...Pursuing AGI @BAAI (non-profit), previously Sea AI LabVerified email at baai.ac.cn
Jiashi FengByteDance Inc.Verified email at bytedance.com
Steven C.H. HoiManaging Director of Salesforce Research Asia; IEEE Fellow; Professor at SMUVerified email at smu.edu.sg
Xiao-Tong YuanNanjing University of Information Science and TechnologyVerified email at nuist.edu.cn
Zhouchen LinProfessor, Peking University; Fellow of IEEE, IAPR & CSIG; ex-VP of Samsung ResearchVerified email at pku.edu.cn
Chao ZhangSchool of Intelligence Science and TechnologyVerified email at pku.edu.cn
Canyi Lu (卢参义)Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Xiaodan LiangAssociate Professor, Sun Yat-sen University, CMU, NUSVerified email at mail2.sysu.edu.cn
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UVerified email at cs.cmu.edu
Tuo ZhaoAssistant Professor, Georgia TechVerified email at gatech.edu
Jason D. LeeAssociate Professor of Electrical Engineering and Computer Science, Princeton UniversityVerified email at princeton.edu
Sham M KakadeHarvard UniversityVerified email at seas.harvard.edu
Yu BaiResearch Scientist, Salesforce ResearchVerified email at salesforce.com
Edward Y ChangStanford UniversityVerified email at cs.stanford.edu
Terence SimAssociate Professor, School of Computing, National University of SingaporeVerified email at comp.nus.edu.sg
Yunpeng ChenNational University of SingaporeVerified email at u.nus.edu
Jianshu LiNational University of SingaporeVerified email at u.nus.edu
Alejandro RibeiroUniversity of PennsylvaniaVerified email at seas.upenn.edu
Zebang Shen 沈泽邦ETH ZürichVerified email at inf.ethz.ch
Huan XuAlibaba IncVerified email at alibaba-inc.com

Pan Zhou

Research Scientist at Sea AI Lab (SAIL)

Verified email at sea.com - Homepage

Machine Learning Optimization Computer Vision


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Prototypical contrastive learning of unsupervised representations J Li, P Zhou, C Xiong, SCH Hoi arXiv preprint arXiv:2005.04966, 2020	584	2020
Metaformer is actually what you need for vision W Yu, M Luo, P Zhou, C Si, Y Zhou, X Wang, J Feng, S Yan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022	231	2022
Tensor factorization for low-rank tensor completion P Zhou, C Lu, Z Lin, C Zhang IEEE Transactions on Image Processing 27 (3), 1152-1163, 2017	228	2017
Deep adversarial subspace clustering P Zhou, Y Hou, J Feng Proceedings of the IEEE conference on computer vision and pattern …, 2018	173	2018
Towards theoretically understanding why sgd generalizes better than adam in deep learning P Zhou, J Feng, C Ma, C Xiong, SCH Hoi Advances in Neural Information Processing Systems 33, 21285-21296, 2020	150	2020
Inception transformer C Si, W Yu, P Zhou, Y Zhou, X Wang, S Yan arXiv preprint arXiv:2205.12956, 2022	99	2022
Outlier-Robust Tensor PCA P Zhou, J Feng CVPR, 2017	96	2017
Efficient Meta Learning via Minibatch Proximal Update P Zhou, X Yuan, H Xu, S Yan, J Feng NeurIPS 2019, 2019	86	2019
Integrated low-rank-based discriminative feature learning for recognition P Zhou, Z Lin, C Zhang IEEE transactions on neural networks and learning systems 27 (5), 1080-1093, 2015	76	2015
Tensor low-rank representation for data recovery and clustering P Zhou, C Lu, J Feng, Z Lin, S Yan IEEE transactions on pattern analysis and machine intelligence 43 (5), 1718-1732, 2019	75	2019
Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds P Zhou, XT Yuan, J Feng AISTATS, 2018	57	2018
How important is the train-validation split in meta-learning? Y Bai, M Chen, P Zhou, T Zhao, J Lee, S Kakade, H Wang, C Xiong International Conference on Machine Learning, 543-553, 2021	49	2021
Understanding Generalization and Optimization Performance of Deep CNNs P Zhou, J Feng ICML, https://arxiv.org/abs/1805.10767, 2018	45	2018
Theory-inspired path-regularized differential network architecture search P Zhou, C Xiong, R Socher, SCH Hoi NeurIPS 2020 (Oral), 2020	42	2020
Efficient stochastic gradient hard thresholding P Zhou, X Yuan, J Feng Advances in Neural Information Processing Systems 31, 2018	38	2018
Bilevel model-based discriminative dictionary learning for recognition P Zhou, C Zhang, Z Lin IEEE transactions on image processing 26 (3), 1173-1187, 2016	37	2016
Prototypical graph contrastive learning S Lin, C Liu, P Zhou, ZY Hu, S Wang, R Zhao, Y Zheng, L Lin, E Xing, ... IEEE Transactions on Neural Networks and Learning Systems, 2022	29	2022
Task similarity aware meta learning: Theory-inspired improvement on maml P Zhou, Y Zou, XT Yuan, J Feng, C Xiong, S Hoi Uncertainty in Artificial Intelligence, 23-33, 2021	29	2021
Graph-evolving meta-learning for low-resource medical dialogue generation S Lin, P Zhou, X Liang, J Tang, R Zhao, Z Chen, L Lin Proceedings of the AAAI Conference on Artificial Intelligence 35 (15), 13362 …, 2021	28	2021
Feature learning via partial differential equation with applications to face recognition C Fang, Z Zhao, P Zhou, Z Lin Pattern Recognition 69, 14-25, 2017	28	2017

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