Chenhui Deng

According to our database1, Chenhui Deng authored at least 10 papers between 2020 and 2024.

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

Timeline

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Links

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Bibliography

2024
SAGMAN: Stability Analysis of Graph Neural Networks on the Manifolds.
CoRR, 2024

Polynormer: Polynomial-Expressive Graph Transformer in Linear Time.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Less is More: Hop-Wise Graph Attention for Scalable and Generalizable Learning on Circuits.
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023
Special Session: Machine Learning for Embedded System Design.
Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis, 2023

2022
GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks.
Proceedings of the Learning on Graphs Conference, 2022

2021
SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation.
Proceedings of the 38th International Conference on Machine Learning, 2021

GLAIVE: Graph Learning Assisted Instruction Vulnerability Estimation.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

Layout Symmetry Annotation for Analog Circuits with Graph Neural Networks.
Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021

2020
GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding.
Proceedings of the 8th International Conference on Learning Representations, 2020

Accurate Operation Delay Prediction for FPGA HLS Using Graph Neural Networks.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020


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