Paul Liu - RankMe

39 papers A* 8A 2B 1Journal 21Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Streaming Submodular Maximization Under Matroid Constraints. Math. Oper. Res. Moran Feldman, Paul Liu, Ashkan Norouzi-Fard, Ola Svensson, Rico Zenklusen
2024	A*	`conf`	Dynamic Data Layout Optimization with Worst-Case Guarantees. ICDE Kexin Rong, Paul Liu, Sarah Ashok Sonje, Moses Charikar
2024	J	`jnl`	Dynamic Data Layout Optimization with Worst-case Guarantees. CoRR Kexin Rong, Paul Liu, Sarah Ashok Sonje, Moses Charikar
2023	A*	`conf`	Faster Submodular Maximization for Several Classes of Matroids. ICALP Monika Henzinger, Paul Liu, Jan Vondrák, Da Wei Zheng
2023	J	`jnl`	Faster Submodular Maximization for Several Classes of Matroids. CoRR Monika Henzinger, Paul Liu, Jan Vondrák, Da Wei Zheng
2022	J	`jnl`	Coordinated Motion Planning Through Randomized ACM J. Exp. Algorithmics Paul Liu, Jack Spalding-Jamieson, Brandon Zhang, Da Wei Zheng
2022	—	`conf`	MonoTrack: Shuttle trajectory reconstruction from monocular badminton video. CVPR Workshops Paul Liu, Jui-Hsien Wang
2022	J	`jnl`	MonoTrack: Shuttle trajectory reconstruction from monocular badminton video. CoRR Paul Liu, Jui-Hsien Wang
2022	J	`jnl`	On the Complexity of Sampling Redistricting Plans. CoRR Moses Charikar, Paul Liu, Tianyu Liu, Thuy-Duong Vuong
2022	A*	`conf`	Streaming Submodular Maximization Under Matroid Constraints. ICALP Moran Feldman, Paul Liu, Ashkan Norouzi-Fard, Ola Svensson, Rico Zenklusen
2022	—	`—`	Submodular optimization in massive datasets. Paul Liu
2021	J	`jnl`	An Elo-like System for Massive Multiplayer Competitions. CoRR Aram Ebtekar, Paul Liu
2021	A*	`conf`	Cardinality constrained submodular maximization for random streams. NeurIPS Paul Liu, Aviad Rubinstein, Jan Vondrák, Junyao Zhao
2021	J	`jnl`	Cardinality constrained submodular maximization for random streams. CoRR Paul Liu, Aviad Rubinstein, Jan Vondrák, Junyao Zhao
2021	A*	`conf`	Coordinated Motion Planning Through Randomized k-Opt (CG Challenge). SoCG Paul Liu, Jack Spalding-Jamieson, Brandon Zhang, Da Wei Zheng
2021	J	`jnl`	Coordinated Motion Planning Through Randomized k-Opt. CoRR Paul Liu, Jack Spalding-Jamieson, Brandon Zhang, Da Wei Zheng
2021	A*	`conf`	Diversity on the Go! Streaming Determinantal Point Processes under a Maximum Induced Cardinality Objective. WWW Paul Liu, Akshay Soni, Eun Yong Kang, Yajun Wang, Mehul Parsana
2021	A*	`conf`	Elo-MMR: A Rating System for Massive Multiplayer Competitions. WWW Aram Ebtekar, Paul Liu
2021	—	`conf`	Improved Algorithms for Edge Colouring in the W-Streaming Model. SOSA Moses Charikar, Paul Liu
2021	—	`conf`	Improving Taxonomy-based Categorization with Categorical Graph Neural Networks. IEEE BigData Tianchuan Du, Keng-hao Chang, Paul Liu, Ruofei Zhang
2020	A*	`conf`	A polynomial lower bound on adaptive complexity of submodular maximization. STOC Wenzheng Li, Paul Liu, Jan Vondrák
2020	J	`jnl`	A polynomial lower bound on adaptive complexity of submodular maximization. CoRR Wenzheng Li, Paul Liu, Jan Vondrák
2020	J	`jnl`	A simple bipartite graph projection model for clustering in networks. CoRR Austin R. Benson, Paul Liu, Hao Yin
2020	J	`jnl`	Improved Algorithms for Edge Colouring in the W-Streaming Model. CoRR Moses Charikar, Paul Liu
2020	A	`conf`	Retrieving Top Weighted Triangles in Graphs. WSDM Raunak Kumar, Paul Liu, Moses Charikar, Austin R. Benson
2019	J	`jnl`	Retrieving Top Weighted Triangles in Graphs. CoRR Raunak Kumar, Paul Liu, Moses Charikar, Austin R. Benson
2019	A	`conf`	Sampling Methods for Counting Temporal Motifs. WSDM Paul Liu, Austin R. Benson, Moses Charikar
2019	—	`conf`	Submodular Optimization in the MapReduce Model. SOSA Paul Liu, Jan Vondrák
2018	J	`jnl`	A sampling framework for counting temporal motifs. CoRR Paul Liu, Austin R. Benson, Moses Charikar
2018	—	`conf`	Approximation Schemes for Covering and Packing in the Streaming Model. CCCG Christopher Liaw, Paul Liu, Robert Reiss
2018	B	`conf`	Greedy and Local Ratio Algorithms in the MapReduce Model. SPAA Nicholas J. A. Harvey, Christopher Liaw, Paul Liu
2018	J	`jnl`	Greedy and Local Ratio Algorithms in the MapReduce Model. CoRR Nicholas J. A. Harvey, Christopher Liaw, Paul Liu
2018	J	`jnl`	Submodular Optimization in the MapReduce Model. CoRR Paul Liu, Jan Vondrák
2017	J	`jnl`	Approximation Schemes for Covering and Packing in the Streaming Model. CoRR Christopher Liaw, Paul Liu, Robert Reiss
2017	J	`jnl`	Approximation algorithms for the unit disk cover problem in 2D and 3D. Comput. Geom. Ahmad Biniaz, Paul Liu, Anil Maheshwari, Michiel H. M. Smid
2017	J	`jnl`	SYM-ILDL: Incomplete LDL ACM Trans. Math. Softw. Chen Greif, Shiwen He, Paul Liu
2015	—	`conf`	A Faster 4-Approximation Algorithm for the Unit Disk Cover Problem. CCCG Ahmad Biniaz, Anil Maheshwari, Michiel H. M. Smid, Paul Liu
2015	J	`jnl`	SYM-ILDL: Incomplete $LDL^{T}$ Factorization of Symmetric Indefinite and Skew-Symmetric Matrices. CoRR Chen Greif, Shiwen He, Paul Liu
2014	J	`jnl`	A fast 25/6-approximation for the minimum unit disk cover problem. CoRR Paul Liu, Daniel Lu