Ganzhao Yuan

Orcid: 0000-0002-2239-7315

According to our database1, Ganzhao Yuan authored at least 23 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
A Block Coordinate Descent Method for Nonsmooth Composite Optimization under Orthogonality Constraints.
CoRR, 2023

Coordinate Descent Methods for Fractional Minimization.
Proceedings of the International Conference on Machine Learning, 2023

Coordinate Descent Methods for DC Minimization: Optimality Conditions and Global Convergence.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021
Coordinate Descent Methods for DC Minimization.
CoRR, 2021

2020
A Block Decomposition Algorithm for Sparse Optimization.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019
ℓ<sub>0</sub>TV: A Sparse Optimization Method for Impulse Noise Image Restoration.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

A Decomposition Algorithm for the Sparse Generalized Eigenvalue Problem.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
A Generalized Matrix Splitting Algorithm.
CoRR, 2018

High-Quality Exposure Correction of Underexposed Photos.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

2017
A Coordinate-wise Optimization Algorithm for Sparse Inverse Covariance Selection.
CoRR, 2017

GSOS: Gauss-Seidel Operator Splitting Algorithm for Multi-Term Nonsmooth Convex Composite Optimization.
Proceedings of the 34th International Conference on Machine Learning, 2017

A Matrix Splitting Method for Composite Function Minimization.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

An Exact Penalty Method for Binary Optimization Based on MPEC Formulation.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Optimal Linear Aggregate Query Processing under Approximate Differential Privacy.
CoRR, 2016

Convex Optimization for Linear Query Processing under Approximate Differential Privacy.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

A Proximal Alternating Direction Method for Semi-Definite Rank Minimization.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Optimizing Batch Linear Queries under Exact and Approximate Differential Privacy.
ACM Trans. Database Syst., 2015

ℓ0TV: A new method for image restoration in the presence of impulse noise.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
BILGO: Bilateral greedy optimization for large scale semidefinite programming.
Neurocomputing, 2014

2013
A primal method for multiple kernel learning.
Neural Comput. Appl., 2013

Low-rank quadratic semidefinite programming.
Neurocomputing, 2013

2012
Low-Rank Mechanism: Optimizing Batch Queries under Differential Privacy.
Proc. VLDB Endow., 2012

Multilevel thresholding for image segmentation through Bayesian particle swarm optimisation.
Int. J. Model. Identif. Control., 2012


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