Skip to content

Author

Jie-Ming Shi

2 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Jul 2026

Efficient GPU-Accelerated Adaptive Minimum Cost Seed Selection

GAAS is a GPU-accelerated method that integrates novel algorithmic and GPU-aware system designs to solve AMCSS in minutes and is over an order of magnitude faster than parallel CPU and GPU baselines, while the seed cost is among the lowest.

Gongyao Guo, Chen Feng, Yiran Li et al. · 0 citations
Jul 2026

Efficient GPU-Accelerated Local Subgraph Counting

A high-performance GPU solution for local subgraph counting that preserves SCOPE's tree-decomposition framework while explicitly resolving the tension between massive GPU parallelism and limited device memory is developed.

Qiao He, Yi-Ran Li, Man-Lung Yiu et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.