Ali Aghdaei

According to our database, Ali Aghdaei authored at least 10 papers between 2017 and 2026.

Collaborative distances:

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

2026

SHyPar: A Spectral Coarsening Approach to Hypergraph Partitioning.

Hamed Sajadinia, Ali Aghdaei, Zhuo Feng

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., February, 2026

2025

dyGRASS: Dynamic Spectral Graph Sparsification via Localized Random Walks on GPUs.

Yihang Yuan, Ali Aghdaei, Zhuo Feng

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2025

CirSTAG: Circuit Stability Analysis on Graph-based Manifolds.

Wuxinlin Cheng, Yihang Yuan, Chenhui Deng, Ali Aghdaei, Zhiru Zhang, Zhuo Feng

Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025

2024

Geodesic Distance Between Graphs: A Spectral Metric for Assessing the Stability of Graph Neural Networks.

Soumen Sikder Shuvo, Ali Aghdaei, Zhuo Feng

CoRR, 2024

SAGMAN: Stability Analysis of Graph Neural Networks on the Manifolds.

Wuxinlin Cheng, Chenhui Deng, Ali Aghdaei, Zhiru Zhang, Zhuo Feng

CoRR, 2024

SGM-PINN: Sampling Graphical Models for Faster Training of Physics-Informed Neural Networks.

John Anticev, Ali Aghdaei, Wuxinlin Cheng, Zhuo Feng

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

inGRASS: Incremental Graph Spectral Sparsification via Low-Resistance-Diameter Decomposition.

Ali Aghdaei, Zhuo Feng

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2022

HyperEF: Spectral Hypergraph Coarsening by Effective-Resistance Clustering.

Ali Aghdaei, Zhuo Feng

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

2021

HyperSF: Spectral Hypergraph Coarsening via Flow-based Local Clustering.

Ali Aghdaei, Zhiqiang Zhao, Zhuo Feng

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

2017

Novel low-latency, high-resolution and low-cost time synchronisation.

Ali Aghdaei, Seyed Reza Zekavat

IET Wirel. Sens. Syst., 2017