Shuyu Dong

According to our database, Shuyu Dong authored at least 13 papers between 2017 and 2026.

Collaborative distances:

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

2026

Sparse Tuning Enhances Plasticity in PTM-based Continual Learning.

Huan Zhang, Shenghua Fan, Shuyu Dong, Yujin Zheng, Dingwen Wang, Fan Lyu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Beyond Freezing: Sparse Tuning Enhances Plasticity in Continual Learning with Pre-Trained Models.

Huan Zhang, Fan Lyu, Shuyu Dong, Shenghua Fan, Yujin Zheng, Dingwen Wang

CoRR, May, 2025

Learning Measurement Models via Subspace Identification and Clustering.

Shuyu Dong, Arthur Tenenhaus, Laurent Le Brusquet, Mohammed Nabil El Korso

Proceedings of the IEEE Statistical Signal Processing Workshop, 2025

DCILP: A Distributed Approach for Large-Scale Causal Structure Learning.

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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

DCDILP: a distributed learning method for large-scale causal structure learning.

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

CoRR, 2024

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