Pan Zhou
Pan Zhou
Research Scientist
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Titel
Zitiert von
Zitiert von
Jahr
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
912017
Deep adversarial subspace clustering
P Zhou, Y Hou, J Feng
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
702018
Outlier-Robust Tensor PCA
P Zhou, J Feng
CVPR, 2017
642017
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
552015
Prototypical contrastive learning of unsupervised representations
J Li, P Zhou, C Xiong, R Socher, SCH Hoi
arXiv preprint arXiv:2005.04966, 2020
502020
Efficient Meta Learning via Minibatch Proximal Update
P Zhou, X Yuan, H Xu, S Yan, J Feng
NeurIPS 2019, 2019
282019
Efficient stochastic gradient hard thresholding
P Zhou, X Yuan, J Feng
Advances in Neural Information Processing Systems 31, 1984-1993, 2018
272018
Bilevel model-based discriminative dictionary learning for recognition
P Zhou, C Zhang, Z Lin
IEEE transactions on image processing 26 (3), 1173-1187, 2016
252016
Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds
P Zhou, XT Yuan, J Feng
AISTATS, 2018
212018
The landscape of deep learning algorithms
P Zhou, J Feng
ICLR, https://arxiv.org/abs/1705.07038, 2017
182017
Understanding Generalization and Optimization Performance of Deep CNNs
P Zhou, J Feng
ICML, https://arxiv.org/abs/1805.10767, 2018
172018
New insight into hybrid stochastic gradient descent: Beyond with-replacement sampling and convexity
P Zhou, XT Yuan, J Feng
Proceedings of the 32nd International Conference on Neural Information …, 2018
152018
Dictionary learning with structured noise
P Zhou, C Fang, Z Lin, C Zhang, EY Chang
Neurocomputing 273, 414-423, 2018
142018
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
132017
Empirical risk landscape analysis for understanding deep neural networks
P Zhou, J Feng
ICLR 2018, 2018
112018
Theory-inspired path-regularized differential network architecture search
P Zhou, C Xiong, R Socher, SCH Hoi
NeurIPS 2020 (Oral), 2020
92020
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, 2019
82019
Exact recovery of tensor robust principal component analysis under linear transforms
C Lu, P Zhou
arXiv preprint arXiv:1907.08288, 2019
42019
A stochastic trust region method for non-convex minimization
Z Shen, P Zhou, C Fang, A Ribeiro
arXiv preprint arXiv:1903.01540, 2019
42019
How Important is the Train-Validation Split in Meta-Learning?
Y Bai, M Chen, P Zhou, T Zhao, JD Lee, S Kakade, H Wang, C Xiong
arXiv preprint arXiv:2010.05843, 2020
32020
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