Shuyu Dong

According to our database, Shuyu Dong authored at least 8 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

New Riemannian Preconditioned Algorithms for Tensor Completion via Polyadic Decomposition.

Shuyu Dong, Bin Gao, Yu Guan, François Glineur

SIAM J. Matrix Anal. Appl., 2022

High-Dimensional Causal Discovery: Learning from Inverse Covariance via Independence-based Decomposition.

Shuyu Dong, Kento Uemura, Akito Fujii, Shuang Chang, Yusuke Koyanagi, Koji Maruhashi, Michèle Sebag

CoRR, 2022

On the analysis of optimization with fixed-rank matrices: a quotient geometric view.

Shuyu Dong, Bin Gao, Wen Huang, Kyle A. Gallivan

CoRR, 2022

From Graphs to DAGs: A Low-Complexity Model and a Scalable Algorithm.

Shuyu Dong, Michèle Sebag

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2021

Low-rank matrix and tensor completion using graph-based regularization.

Shuyu Dong

PhD thesis, 2021

2020

Alternating minimization algorithms for graph regularized tensor completion.

Yu Guan, Shuyu Dong, Pierre-Antoine Absil, François Glineur

CoRR, 2020

2019

Preconditioned conjugate gradient algorithms for graph regularized matrix completion.

Shuyu Dong, Pierre-Antoine Absil, Kyle A. Gallivan

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

2017

Learning sparse models of diffusive graph signals.

Shuyu Dong, Dorina Thanou, Pierre-Antoine Absil, Pascal Frossard

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017