Xiangchu Feng
12 papers · 2013–2023 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (18) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Keyword Champion
(2)
π§
Keyword Pioneer
π€
Dynamic Duo
(11)
π₯
Unstoppable Β· Bronze
π
Century Club Β· Bronze
π
Trend Setter
π
Conference Pioneer
Venues
Top co-authors
Research topics
Computer Vision
(8)
Machine Learning
(8)
Processing
(6)
Core Methods
(4)
Optimization & Theory
(4)
Mathematics & Optimization
(3)
Optimization
(3)
Deep Learning
(2)
Analysis
(2)
Artificial Intelligence
(1)
Computer Science
(1)
Applications
(1)
Architectures
(1)
Bayesian & Probabilistic Β· Artificial Intelligence
(1)
Bayesian & Probabilistic Β· Machine Learning
(1)
Keywords
image denoising
(3)
convolutional neural network
(2)
nonlocal self-similarity
(2)
matrix factorization
(2)
non-convex optimization
(2)
pattern classification
(2)
sparse representation
(2)
image restoration
(2)
discriminative learning
(1)
image reconstruction
(1)
convex optimization
(1)
feature representation
(1)
face recognition
(1)
low-rank matrix
(1)
global convergence
(1)
filter learning
(1)
likelihood maximization
(1)
singular value decomposition
(1)
sparse coding
(1)
probabilistic modeling
(1)
Papers
Preconditioning Matters: Fast Global Convergence of Non-convex Matrix Factorization via Scaled Gradient Descent
NeurIPS 2023
LST-Net: Learning a Convolutional Neural Network with a Learnable Sparse Transform
ECCV 2020
FOCNet: A Fractional Optimal Control Network for Image Denoising
CVPR 2019
Multi-Channel Weighted Nuclear Norm Minimization for Real Color Image Denoising
ICCV 2017
A Probabilistic Collaborative Representation Based Approach for Pattern Classification
CVPR 2016
A Self-Representation Induced Classifier
IJCAI 2016
Convolutional Sparse Coding for Image Super-Resolution
ICCV 2015
Patch Group Based Nonlocal Self-Similarity Prior Learning for Image Denoising
ICCV 2015
Projective dictionary pair learning for pattern classification
NeurIPS 2014
Weighted Nuclear Norm Minimization with Application to Image Denoising
CVPR 2014
A Generalized Iterated Shrinkage Algorithm for Non-convex Sparse Coding
ICCV 2013
Perceptual Fidelity Aware Mean Squared Error
ICCV 2013