quanquanliu.com - Quanquan C. Liu

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Google Scholar ; DBLP ; Github About Me I am currently a Postdoctoral Scholar at Northwestern University where I am mentored by Samir Khuller . From September 2021-January 2022, I was a Postdoctoral Scholar at MIT where I was mentored by Julian Shun . I graduated with my PhD in Computer Science from the MIT Theory Group where I was advised by Erik D. Demaine and Julian Shun . From June 2020 to December 2020, I was a Google Student Researcher with the IOR team in the Google Discrete Algorithms Group where I

Research Interests: Theory and practice of algorithms for large data; dynamic, distributed, and parallel graph algorithms; algorithms and data structures; parallel and high performance computing; differential privacy and Byzantine-resilient algorithms

Structural Rounding: Approximation Algorithms for Graphs Near an Algorithmically Tractable Class [ arXiv ][ Poster ] with Erik D. Demaine , Timothy D. Goodrich , Kyle Kloster , Brian Lavalle, Blair D. Sullivan , Ali Vakilian , and Andrew van der Poel --> Papers (authors alphabetical unless not) Differential Privacy from Locally Adjustable Graph Algorithms: k-Core Decomposition, Low Out-Degree Ordering, and Densest Subgraphs [ arXiv ] [ Slides ] [ FOCS Video ] [ Video ] Laxman Dhulipala, Quanquan C. Liu, Sof