Pan Zhou
Pan Zhou
Research Scientist at Sea AI Lab (SAIL)
Verified email at - Homepage
Cited by
Cited by
Prototypical contrastive learning of unsupervised representations
J Li, P Zhou, C Xiong, SCH Hoi
arXiv preprint arXiv:2005.04966, 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
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
Deep adversarial subspace clustering
P Zhou, Y Hou, J Feng
Proceedings of the IEEE conference on computer vision and pattern …, 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
Inception transformer
C Si, W Yu, P Zhou, Y Zhou, X Wang, S Yan
arXiv preprint arXiv:2205.12956, 2022
Outlier-Robust Tensor PCA
P Zhou, J Feng
CVPR, 2017
Efficient Meta Learning via Minibatch Proximal Update
P Zhou, X Yuan, H Xu, S Yan, J Feng
NeurIPS 2019, 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
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
Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds
P Zhou, XT Yuan, J Feng
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
Understanding Generalization and Optimization Performance of Deep CNNs
P Zhou, J Feng
ICML,, 2018
Theory-inspired path-regularized differential network architecture search
P Zhou, C Xiong, R Socher, SCH Hoi
NeurIPS 2020 (Oral), 2020
Efficient stochastic gradient hard thresholding
P Zhou, X Yuan, J Feng
Advances in Neural Information Processing Systems 31, 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
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
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
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
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
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