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Dive into the research topics where Zhuo Feng is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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SHF: Small: High-Performance Incremental Spectral Algorithms for Efficient Modeling and Simulation of Large-Scale Integrated Circuits
Feng, Z. (PI)
1/09/24 → 31/08/27
Project: Research project
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SHF: Small: Learning Circuit Networks from Measurements
Feng, Z. (PI)
1/10/22 → 30/09/25
Project: Research project
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Collaborative Research: SHF: Medium: Co-optimizing Spectral Algorithms and Systems for High-Performance Graph Learning
Liu, H. (CoPI) & Feng, Z. (PI)
1/07/22 → 30/06/26
Project: Research project
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CAREER: Leveraging Heterogeneous Manycore Systems for Scalable Modeling, Simulation and Verification of Nanoscale Integrated Circuits
Feng, Z. (PI)
1/10/20 → 31/07/22
Project: Research project
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SHF: Small: Spectral Reduction of Large Graphs and Circuit Networks
Feng, Z. (PI)
12/08/19 → 30/06/23
Project: Research project
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diGRASS: Directed Graph Spectral Sparsification via Spectrum-Preserving Symmetrization
Zhang, Y., Zhao, Z. & Feng, Z., 13 Feb 2024, In: ACM Transactions on Knowledge Discovery from Data. 18, 4, 102.Research output: Contribution to journal › Article › peer-review
Open Access -
SF-SGL: Solver-Free Spectral Graph Learning From Linear Measurements
Zhang, Y., Zhao, Z. & Feng, Z., 1 Apr 2023, In: IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 42, 4, p. 1235-1249 15 p.Research output: Contribution to journal › Article › peer-review
Open Access -
A Multilevel Spectral Framework for Scalable Vectorless Power/Thermal Integrity Verification
Zhao, Z. & Feng, Z., 10 Dec 2022, In: ACM Transactions on Design Automation of Electronic Systems. 28, 1, 3529534.Research output: Contribution to journal › Article › peer-review
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FeGRASS: Fast and Effective Graph Spectral Sparsification for Scalable Power Grid Analysis
Liu, Z., Yu, W. & Feng, Z., 1 Mar 2022, In: IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41, 3, p. 681-694 14 p.Research output: Contribution to journal › Article › peer-review
14 Scopus citations -
GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks
Deng, C., Li, X., Feng, Z. & Zhang, Z., 2022, In: Proceedings of Machine Learning Research. 198Research output: Contribution to journal › Conference article › peer-review
14 Scopus citations