photo

Pan Zhou   周 攀

I am currently a Ph.D. candidate at National University of Singapore (NUS), fortunately advised by Dr. Jiashi Feng and Dr. Shuicheng Yan. Before studying in NUS, I graduated from Peking University (PKU) in 2016 and during this period of time, I was fortunately directed by Dr. Zhouchen Lin and Dr. Chao Zhang.

 

 

Research Topics

Noncovex/convex optimization, deep learning, compressed sensing, etc.

  panzhou3 AT gmail DOT com                     Google Scholar                        Curriculum Vitae

News

  • One paper was accepted as a spotlight paper in NeurIPS 2019.

Publications

2019

Efficient Meta Learning via Minibatch Proximal Update
Pan Zhou, Xiaotong Yuan, Huan Xu, Shuicheng Yan, Jiashi Feng
Neural Information Processing Systems (NeurIPS), 2019 (spotlight paper)
[PDF] [SUPP] [Bibtex] [Codes] [Slides] [Poster]

Tensor Low-rank Representation for Data Recovery and Clustering
Pan Zhou, Canyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
[Paper and code will be released soon.]

Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds
Pan Zhou, Xiaotong Yuan, Shuicheng Yan, Jiashi Feng
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
[PDF] [Bibtex]

Generalized Majorization-Minimization for Non-Convex Optimization
Hu Zhang, Pan Zhou, Yi Yang, Jiashi Feng
International Joint Conference on Artificial Intelligence (IJCAI), 2019
[PDF] [Bibtex]

Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds
Pan Zhou, Xiaotong Yuan, Jiashi Feng
International Conference on Artificial Intelligence and Statistics (AISTATS), 2019
[PDF] [Bibtex]

2018

Efficient Stochastic Gradient Hard Thresholding
Pan Zhou, Xiaotong Yuan, Jiashi Feng
Neural Information Processing Systems (NeurIPS), 2018
[PDF] [Bibtex] [Codes]

New Insight into Hybrid Stochastic Gradient Descent: Beyond With-Replacement Sampling and Convexity
Pan Zhou, Xiaotong Yuan, Jiashi Feng
Neural Information Processing Systems (NeurIPS), 2018
[PDF] [Bibtex]

Understanding Generalization and Optimization Performance of Deep CNNs
Pan Zhou, Jiashi Feng
International Conference on Machine Learning (ICML), 2018
[PDF] [Axriv] [Bibtex]

Deep Adversarial Subspace Clustering
Pan Zhou, Yunqing Hou, Jiashi Feng
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
[PDF] [Bibtex]

Empirical Risk Landscape Analysis for Understanding Deep Neural Networks
Pan Zhou, Jiashi Feng
International Conference on Learning Representations (ICLR), 2018
[PDF] [Axriv] [Bibtex]

Task Relation Networks
Jianshu Li, Pan Zhou, Yunpeng Chen, Jian Zhao, Sujoy Roy, Yan Shuicheng, Jiashi Feng, and Terence Sim
IEEE Winter Conference on Applications of Computer Vision (WACV), 2019

2017

Outlier-Robust Tensor PCA
Pan Zhou, Jiashi Feng
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
[PDF] [SUPP] [Codes] [Bibtex]

Tensor Factorization for Low-Rank Tensor Completion
Pan Zhou, Canyi Lu, Zhouchen Lin, Chao Zhang
IEEE Transactions on Image Processing (TIP), 2017
[PDF] [SUPP] [Codes] [Bibtex]

Dictionary Learning with Structured Noise
Pan Zhou, Cong Fang, Zhouchen Lin, Chao Zhang, Edward Y. Chang
Neurocomputing, 2017
[PDF] [Bibtex]

Feature Learning via Partial Differential Equation with Applications to Face Recognition
Cong Fang, Zhenyu Zhao, Pan Zhou, Zhouchen Lin
Pattern Recognition (PR), 2017
[PDF] [Codes] [Bibtex]

2016

Bilevel Model Based Discriminative Dictionary Learning for Recognition
Pan Zhou, Chao Zhang, Zhouchen Lin
IEEE Transactions on Image Processing (TIP), 2016
[PDF] [SUPP] [Bibtex]

Integrated Low-Rank-Based Discriminative Feature Learning for Recognition
Pan Zhou, Zhouchen Lin, Chao Zhang
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2016
[PDF] [SUPP] [Codes] [Bibtex]


Selected Award

  • 2018 Microsoft Research Asia Fellowship Award (11 Ph.D. students in Asia)
  • 2015 The Award for Scientific Research
  • 2014 The Model Student of Academic Records
  • 2013 Outstanding Graduate
  • 2011 The Second Prize in 2011 China Robot Contest
  • 2011 National Scholarship

Academic Service

Journal refereeing: IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), International Journal of Computer Vision (IJCV), IEEE Transactions on Image Processing (TIP), IEEE Trans. on Neural Networks and Learning Systems (TNNLS), IEEE Transactions on Knowledge and Data Engineering (TKDE), IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), IEEE Signal Processing Letters (SPL).

Conference refereeing: International Conference on Machine Learning (ICML, 2019), Neural Information Processing Systems (NIPS, 2018/2019), Association for Uncertainty in Artificial Intelligence (UAI, 2019), IEEE Conference on Computer Vision and Pattern Recognition (CVPR, 2018/2019), International Conference on Computer Vision (ICCV, 2019), Association for the Advancement of Artificial Intelligence (AAAI, 2019), Asian Conference on Computer Vision (ACCV, 2018).