Search Results for author: Quanquan C. Liu

Found 2 papers, 1 papers with code

The Predicted-Updates Dynamic Model: Offline, Incremental, and Decremental to Fully Dynamic Transformations

no code implementations17 Jul 2023 Quanquan C. Liu, Vaidehi Srinivas

Using this, we are able to interpolate between the offline and fully dynamic settings; when the $\ell_1$ error of the prediction is linear in the number of updates, we achieve the offline runtime of the algorithm (up to $\mathrm{poly} \log n$ factors).

Massively Parallel Algorithms for Small Subgraph Counting

1 code implementation19 Feb 2020 Amartya Shankha Biswas, Talya Eden, Quanquan C. Liu, Slobodan Mitrović, Ronitt Rubinfeld

Finally, we prove that a recent result of Bera, Pashanasangi and Seshadhri (ITCS 2020) for exactly counting all subgraphs of size at most $5$ can be implemented in the MPC model in total space.

Data Structures and Algorithms Distributed, Parallel, and Cluster Computing

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