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Journal Articles
- 2017
[j1]Ali Aghdaei, Seyed Reza Zekavat:
Novel low-latency, high-resolution and low-cost time synchronisation. IET Wirel. Sens. Syst. 7(6): 178-181 (2017)
Conference and Workshop Papers
- 2024
- [c4]Ali Aghdaei
, Zhuo Feng:
inGRASS: Incremental Graph Spectral Sparsification via Low-Resistance-Diameter Decomposition. DAC 2024: 276:1-276:6 - [c3]John Anticev, Ali Aghdaei, Wuxinlin Cheng, Zhuo Feng:
SGM-PINN: Sampling Graphical Models for Faster Training of Physics-Informed Neural Networks. DAC 2024: 277:1-277:6 - 2022
- [c2]Ali Aghdaei, Zhuo Feng:
HyperEF: Spectral Hypergraph Coarsening by Effective-Resistance Clustering. ICCAD 2022: 14:1-14:9 - 2021
- [c1]Ali Aghdaei, Zhiqiang Zhao, Zhuo Feng:
HyperSF: Spectral Hypergraph Coarsening via Flow-based Local Clustering. ICCAD 2021: 1-9
Informal and Other Publications
- 2024
- [i7]Wuxinlin Cheng, Chenhui Deng, Ali Aghdaei, Zhiru Zhang, Zhuo Feng:
SAGMAN: Stability Analysis of Graph Neural Networks on the Manifolds. CoRR abs/2402.08653 (2024) - [i6]Ali Aghdaei, Zhuo Feng:
inGRASS: Incremental Graph Spectral Sparsification via Low-Resistance-Diameter Decomposition. CoRR abs/2402.16990 (2024) - [i5]Soumen Sikder Shuvo, Ali Aghdaei, Zhuo Feng:
Geodesic Distance Between Graphs: A Spectral Metric for Assessing the Stability of Graph Neural Networks. CoRR abs/2406.10500 (2024) - [i4]John Anticev, Ali Aghdaei, Wuxinlin Cheng, Zhuo Feng:
SGM-PINN: Sampling Graphical Models for Faster Training of Physics-Informed Neural Networks. CoRR abs/2407.07358 (2024) - [i3]Hamed Sajadinia, Ali Aghdaei, Zhuo Feng:
SHyPar: A Spectral Coarsening Approach to Hypergraph Partitioning. CoRR abs/2410.10875 (2024) - 2022
- [i2]Ali Aghdaei, Zhuo Feng:
HyperEF: Spectral Hypergraph Coarsening by Effective-Resistance Clustering. CoRR abs/2210.14813 (2022) - 2021
- [i1]Ali Aghdaei, Zhiqiang Zhao, Zhuo Feng:
HyperSF: Spectral Hypergraph Coarsening via Flow-based Local Clustering. CoRR abs/2108.07901 (2021)
Coauthor Index
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