Pan Zhou

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i10-index	52	52

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Shuicheng Yan, Fellow of AAAI, ACM,...Kunlun 2050 Research & Skywork AI, previously Sea AI Lab, SingaporeVerified email at kunlun-inc.com
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
Zhouchen LinProfessor, Peking University; Fellow of IEEE, IAPR, CSIG & AAIA; ex-VP of Samsung ResearchVerified email at pku.edu.cn
Xiao-Tong YuanNanjing UniversityVerified email at nuist.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, MBZUAI, 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
Huan XuAlibaba IncVerified email at alibaba-inc.com
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 BaiOpenAIVerified 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

Pan Zhou

Assistant Professor at SMU

Verified email at smu.edu.sg - Homepage

Machine Learning Optimization Computer Vision


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Prototypical contrastive learning of unsupervised representations J Li, P Zhou, C Xiong, SCH Hoi International Conference on Learning Representations (ICLR 2021), 2020	990	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 IEEE conference on computer vision and pattern recognition (CVPR 2022, Oral …, 2022	804	2022
Inception transformer C Si, W Yu, P Zhou, Y Zhou, X Wang, S Yan Advances in Neural Information Processing Systems (NeurIPS 2022), 2022	617*	2022
Tensor factorization for low-rank tensor completion P Zhou, C Lu, Z Lin, C Zhang IEEE Transactions on Image Processing (TIP) 27 (3), 1152-1163, 2017	291	2017
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 (NeurIPS 2020), 2020	260	2020
Deep adversarial subspace clustering P Zhou, Y Hou, J Feng IEEE conference on computer vision and pattern recognition (CVPR 2018), 2018	209	2018
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 (TPAMI) 43 (5 …, 2019	116	2019
Outlier-Robust Tensor PCA P Zhou, J Feng IEEE conference on computer vision and pattern recognition (CVPR 2017), 2017	108	2017
Efficient Meta Learning via Minibatch Proximal Update P Zhou, X Yuan, H Xu, S Yan, J Feng Advances in Neural Information Processing Systems (NeurIPS 2019, Spotlight), 2019	102	2019
Adan: Adaptive nesterov momentum algorithm for faster optimizing deep models X Xie, P Zhou, H Li, Z Lin, S Yan IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024, 2024	88	2024
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 (TNNLS), 2022	84	2022
Integrated low-rank-based discriminative feature learning for recognition P Zhou, Z Lin, C Zhang IEEE transactions on neural networks and learning systems (TNNLS) 27 (5 …, 2015	80	2015
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 (ICML 2021), 543-553, 2021	77	2021
Metaformer baselines for vision W Yu, C Si, P Zhou, M Luo, Y Zhou, J Feng, S Yan, X Wang IEEE transactions on pattern analysis and machine intelligence (TPAMI), 2023, 2022	76	2022
Inceptionnext: When inception meets convnext W Yu, P Zhou, S Yan, X Wang IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2024), 2023	74	2023
Video graph transformer for video question answering J Xiao, P Zhou, TS Chua, S Yan European Conference on Computer Vision (ECCV 2022), 39-58, 2022	71	2022
Theory-inspired path-regularized differential network architecture search P Zhou, C Xiong, R Socher, SCH Hoi Advances in Neural Information Processing Systems (NeurIPS 2020, Oral), 2020	65	2020
Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds P Zhou, XT Yuan, J Feng International Conference on Artificial Intelligence and Statistics (AISTATS …, 2018	65	2018
Masked diffusion transformer is a strong image synthesizer S Gao, P Zhou, MM Cheng, S Yan International Conference on Computer Vision (ICCV 2023), 2023	62	2023
Understanding Generalization and Optimization Performance of Deep CNNs P Zhou, J Feng International Conference on Machine Learning (ICML 2018), 2018	55	2018

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