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Canyi Lu

mailto:canyilu AT gmail.com

Postdoc

Carnegie Mellon University

Personal Site

Biography

I am currently a Postdoctoral Research Associate at Carnegie Mellon University. I obtained my phd degree from the National University of Singapore, working closely with Profs. Jiashi Feng, Shuicheng Yan and Zhouchen Lin.

Interests

  • Statistical Learning of Structured Sparsity
  • Optimization
  • Computer Vision

Education

  • Ph.D. in Machine Learning, 2013-2017

    National University of Singapore

  • Msc in Electronic Information and Engineering, 2009-2012

    University of Science and Technology of China

Curriculum Vitae

 
 
 
 
 

Postdoc Research Associate

Carnegie Mellon University

Dec 2017 – Present Pittsburgh, US
 
 
 
 
 

Visiting Student

Priceton Univeristy

Aug 2016 – Nov 2016 Priceton, US
 
 
 
 
 

Intern

Microsoft Asia

Aug 2015 – Oct 2015 Beijing
 
 
 
 
 

Research Assistant

National University of Singapore

Sep 2012 – Jul 2013 Singapore
 
 
 
 
 

Visiting Student

Peking Univeristy

Aug 2012 – Jun 2013 Beijing

Publications @ZERO Lab

Subspace Clustering by Block Diagonal Representation. TPAMI, 2019.

In this work, we first consider a general formulation and provide a unified theoretical guarantee of the block diagonal property of the …
Canyi Lu , Jiashi Feng , Zhouchen Lin , Tao Mei , Shuicheng Yan
PDF Code

Tensor Robust Principal Component Analysis with A New Tensor Nuclear Norm. PAMI, 2018.

In this paper, we consider the Tensor Robust Principal Component Analysis (TRPCA) problem, which aims to exactly recover the low-rank …
Canyi Lu , Jiashi Feng , Yudong Chen , Wei Liu , Zhouchen Lin , Shuicheng Yan
PDF

A Unified Alternating Direction Method of Multipliers by Majorization Minimization. TPAMI, 2018.

We respectively present the unified frameworks of Gauss-Seidel ADMMs and Jacobian ADMMs, which use different historical information for …
Canyi Lu , Jiashi Feng , Shuicheng Yan , Zhouchen Lin
PDF

Exact Low Tubal Rank Tensor Recovery from Gaussian Measurements. IJCAI, 2018.

With a careful choice of the atomic set, we prove that TNN is a special atomic norm.
Canyi Lu , Jiashi Feng , Zhouchen Lin , Shuicheng Yan
PDF

Nonconvex Sparse Spectral Clustering by Alternating Direction Method of Multipliers. AAAI, 2018.

We propose an efficient Alternating Direction Method of Multipliers (ADMM) to solve the nonconvex SSC and provide the convergence …
Canyi Lu , Jiashi Feng , Zhouchen Lin , Shuicheng Yan
PDF

Optimized Projections for Compressed Sensing via Direct Mutual Coherence Minimization. SP, 2018.

We propose to find an optimal projection matrix by minimizing the mutual coherence of PD directly to recover the signal from a small …
PDF

Tensor Factorization for Low-Rank Tensor Completion. TIP, 2018.

We propose a novel low-rank tensor factorization method for efficiently solving the 3-way tensor completion problem.
Pan Zhou , Canyi Lu , Zhouchen Lin , Chao Zhang
PDF Source Document

Convex Sparse Spectral Clustering: Single-view to Multi-view. TIP, 2016.

We propose a novel convex relaxation of SSC based on the convex hull of the fixed rank projection matrices.
Canyi Lu , Shuicheng Yan , Zhouchen Lin
PDF

Fast Proximal Linearized Alternating Direction Method of Multiplier with Parallel Splitting. AAAI, 2016.

We propose the Fast Proximal Augmented Lagragian Method (Fast PALM) which achieves the convergence rate O(1/K^2), compared with O(1/K) …
Canyi Lu , Huan Li , Zhouchen Lin , Shuicheng Yan
PDF supp

Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization. CVPR, 2016.

This paper studies the Tensor Robust Principal Component (TRPCA) problem which extends the known Robust PCA to the tensor case.
Canyi Lu , Jiashi Feng , Yudong chen , Wei Liu , Zhouchen Lin , Shuicheng Yan
PDF
See all publications

Academic Acativities

Reviewer to Journals

Journal of Machine Learning Research (JMLR)
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
International Journal of Computer Vision (IJCV)
Machine Learning
Journal of Selected Topics in Signal Processing (J-STSP)
IEEE Transactions on Knowledge and Data Engineering (TKDE)
IEEE Transactions on Image Processing (TIP)
IEEE Transactions on Signal Processing (TSP)
Computer Vision and Image Understanding (CVIU)
ACM Transactions on Multimedia Computing, Communications and Applications (TOMM)
IEEE Transactions on Multimedia (TMM)
Neural Networks
Neurocomputing
Neural Computing and Applications (NCAA)
Pattern Analysis and Applications (PAA)
Journal of Visual Communication and Image Representation (JVCI)
The Visual Computer
IEEE Signal Processing Letters (SPL)
Circuits, Systems, and Signal Processing (CSSP)

Chair/Reviewer to Conferences

International Conference on Machine Learning (ICML) 2018
Neural Information Processing Systems (NIPS) 2017, 2018
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2016, 2017, 2018, 2019
International Conference on Computer Visions (ICCV) 2015, 2017
European Conference on Computer Vision(ECCV) 2016, 2018
AAAI Conference on Artificial Intelligence (AAAI) 2016, 2017, 2018, 2019
International Joint Conference on Artificial Intelligence (IJCAI) 2016, 2018
International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2016
Asian Conference on Computer Vision (ACCV) 2016

Awards

Best Poster Award, 1st Place,

International Conference on Big Data and Information Analytics (BigDIA) 2018

Chinese Government Award for Outstanding Self-Financed Students Abroad

2017

Stars of Tomorrow

Microsoft Research Asia 2015

Microsoft Research Asia Fellowship

Microsoft Research Asia 2014

Travel Grant

ICCV13 2013

Outstanding Postgraduate Award

University of Science and Technology of China 2011

Excellent Bachelor Dissertation Award

University of Science and Technology of China 2009

National Scholarship for Encouragement

University of Science and Technology of China 2007

National Scholarship (2 times)

University of Science and Technology of China 2006 – 2007

Excellent Student Scholarship (7 times)

University of Science and Technology of China 2005 – 2009