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Pan Zhou
Pan Zhou
Research Scientist at Sea AI Lab (SAIL)
Verified email at sea.com - Homepage
Title
Cited by
Cited by
Year
Prototypical contrastive learning of unsupervised representations
J Li, P Zhou, C Xiong, SCH Hoi
arXiv preprint arXiv:2005.04966, 2020
3422020
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
1842017
Deep adversarial subspace clustering
P Zhou, Y Hou, J Feng
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
1432018
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
922020
Outlier-Robust Tensor PCA
P Zhou, J Feng
CVPR, 2017
882017
Efficient Meta Learning via Minibatch Proximal Update
P Zhou, X Yuan, H Xu, S Yan, J Feng
NeurIPS 2019, 2019
712019
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
702015
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
652022
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
422019
Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds
P Zhou, XT Yuan, J Feng
AISTATS, 2018
412018
Understanding Generalization and Optimization Performance of Deep CNNs
P Zhou, J Feng
ICML, https://arxiv.org/abs/1805.10767, 2018
372018
Efficient stochastic gradient hard thresholding
P Zhou, X Yuan, J Feng
Advances in Neural Information Processing Systems 31, 2018
352018
Bilevel model-based discriminative dictionary learning for recognition
P Zhou, C Zhang, Z Lin
IEEE transactions on image processing 26 (3), 1173-1187, 2016
352016
Theory-inspired path-regularized differential network architecture search
P Zhou, C Xiong, R Socher, SCH Hoi
NeurIPS 2020 (Oral), 2020
342020
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
332021
Dictionary learning with structured noise
P Zhou, C Fang, Z Lin, C Zhang, EY Chang
Neurocomputing 273, 414-423, 2018
262018
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
252017
The landscape of deep learning algorithms
P Zhou, J Feng
ICLR, https://arxiv.org/abs/1705.07038, 2017
242017
New insight into hybrid stochastic gradient descent: Beyond with-replacement sampling and convexity
P Zhou, X Yuan, J Feng
Advances in Neural Information Processing Systems 31, 2018
232018
Empirical risk landscape analysis for understanding deep neural networks
P Zhou, J Feng
ICLR 2018, 2018
202018
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