Sean Chester - RankMe

41 papers A* 4A 4B 10Misc 1Journal 9Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	CLOVER: A GPU-native, Spatio-graph-based Approach to Exact kNN. ICS Victor Kamel, Hanxueyu Yan, Sean Chester
2025	B	`conf`	Efficient Multicore Discovery of Small, High-Quality k-Plex Teams in Multi-attributed Networks. EDBT Parisa Esmaeilian Ghahroudi, Sean Chester, Alex Thomo
2025	B	`conf`	The Batch Insertion Operator for Shared Mobility Route Planning on Time-Dependent Road Networks. SSTD Aaditya Mukherjee, Sean Chester, Mario A. Nascimento
2023	A*	`conf`	Lock-free Vertex Clustering for Multicore Mesh Reduction. SIGGRAPH Asia Nima Fathollahi, Sean Chester
2022	J	`jnl`	KnotAli: informed energy minimization through the use of evolutionary information. BMC Bioinform. Mateo Gray, Sean Chester, Hosna Jabbari
2022	—	`conf`	Vectorising k-Truss Decomposition for Simple Multi-Core and SIMD Acceleration. IISA Amir Mehrafsa, Sean Chester, Alex Thomo
2021	J	`jnl`	Efficient top- Inf. Syst. Thu-Lan Dam, Sean Chester, Kjetil Nørvåg, Quang-Huy Duong
2020	A	`conf`	Diversifying Top-k Point-of-Interest Queries via Collective Social Reach. CIKM Stella Maropaki, Sean Chester, Christos Doulkeridis, Kjetil Nørvåg
2020	—	`conf`	Ship Detection in Satellite Optical Imagery. AICCC Benjamin Smith, Sean Chester, Yvonne Coady
2020	B	`conf`	Vectorising k-Core Decomposition for GPU Acceleration. SSDBM Amir Mehrafsa, Sean Chester, Alex Thomo
2019	B	`conf`	Triad Enumeration at Trillion-Scale Using a Single Commodity Machine. EDBT Yudi Santoso, Alex Thomo, Venkatesh Srinivasan, Sean Chester
2018	—	`ch.`	Anonymization and De-anonymization of Social Network Data. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. Sean Chester, Bruce M. Kapron, Gautam Srivastava, Venkatesh Srinivasan, Alex Thomo
2018	A*	`conf`	Improving Spatial Data Processing by Clipping Minimum Bounding Boxes. ICDE Darius Sidlauskas, Sean Chester, Eleni Tzirita Zacharatou, Anastasia Ailamaki
2017	—	`conf`	Template Skycube Algorithms for Heterogeneous Parallelism on Multicore and GPU Architectures. SIGMOD Conference Kenneth S. Bøgh, Sean Chester, Darius Sidlauskas, Ira Assent
2016	A*	`conf`	Generalised Brown Clustering and Roll-Up Feature Generation. AAAI Leon Derczynski, Sean Chester
2016	A	`conf`	Group-Aware Weighted Bipartite B-Matching. CIKM Cheng Chen, Sean Chester, Venkatesh Srinivasan, Kui Wu, Alex Thomo
2016	B	`conf`	Maximum Coverage Representative Skyline. EDBT Malene Søholm, Sean Chester, Ira Assent
2016	J	`jnl`	SkyAlign: a portable, work-efficient skyline algorithm for multicore and GPU architectures. VLDB J. Kenneth S. Bøgh, Sean Chester, Ira Assent
2016	B	`conf`	Top-k Dominating Queries, in Parallel, in Memory. EDBT Sean Chester, Orestis Gkorgkas, Kjetil Nørvåg
2015	B	`conf`	Efficient caching for constrained skyline queries. EDBT Michael L. Mortensen, Sean Chester, Ira Assent, Matteo Magnani
2015	B	`conf`	Explanations for Skyline Query Results. EDBT Sean Chester, Ira Assent
2015	A*	`conf`	Scalable parallelization of skyline computation for multi-core processors. ICDE Sean Chester, Darius Sidlauskas, Ira Assent, Kenneth S. Bøgh
2015	Misc	`conf`	Tune Your Brown Clustering, Please. RANLP Leon Derczynski, Sean Chester, Kenneth S. Bøgh
2015	J	`jnl`	Work-Efficient Parallel Skyline Computation for the GPU. Proc. VLDB Endow. Kenneth S. Bøgh, Sean Chester, Ira Assent
2014	—	`ch.`	Anonymization and De-anonymization of Social Network Data. Encyclopedia of Social Network Analysis and Mining Sean Chester, Bruce M. Kapron, Gautam Srivastava, Srinivasan Venkatesh, Alex Thomo
2014	J	`jnl`	Computing k-Regret Minimizing Sets. Proc. VLDB Endow. Sean Chester, Alex Thomo, S. Venkatesh, Sue Whitesides
2014	A	`conf`	Hashcube: A Data Structure for Space- and Query-Efficient Skycube Compression. CIKM Kenneth S. Bøgh, Sean Chester, Darius Sidlauskas, Ira Assent
2014	—	`conf`	On the Suitability of Skyline Queries for Data Exploration. EDBT/ICDT Workshops Sean Chester, Michael L. Mortensen, Ira Assent
2013	J	`jnl`	Complexity of social network anonymization. Soc. Netw. Anal. Min. Sean Chester, Bruce M. Kapron, Gautam Srivastava, S. Venkatesh
2013	—	`conf`	Indexing Reverse Top-k Queries in Two Dimensions. DASFAA (1) Sean Chester, Alex Thomo, S. Venkatesh, Sue Whitesides
2013	—	`—`	Representative Subsets for Preference Queries. Sean Chester
2013	J	`jnl`	Why Waldo befriended the dummy? k-Anonymization of social networks with pseudo-nodes. Soc. Netw. Anal. Min. Sean Chester, Bruce M. Kapron, Ganesh Ramesh, Gautam Srivastava, Alex Thomo, S. Venkatesh
2012	B	`conf`	Anonymizing Subsets of Social Networks with Degree Constrained Subgraphs. ASONAM Sean Chester, Jared Gaertner, Ulrike Stege, S. Venkatesh
2012	J	`jnl`	Computing optimal k-regret minimizing sets with top-k depth contours CoRR Sean Chester, Alex Thomo, S. Venkatesh, Sue Whitesides
2012	J	`jnl`	Indexing Reverse Top-k Queries CoRR Sean Chester, Alex Thomo, S. Venkatesh, Sue Whitesides
2011	—	`conf`	Indexing for Vector Projections. DASFAA (2) Sean Chester, Alex Thomo, Srinivasan Venkatesh, Sue Whitesides
2011	—	`conf`	On supporting dynamic web service selection with histogramming. MESOCA Atousa Pahlevan, Sean Chester, Alex Thomo, Hausi A. Müller
2011	B	`conf`	Social Network Privacy for Attribute Disclosure Attacks. ASONAM Sean Chester, Gautam Srivastava
2011	—	`conf`	Updatable Indices for Efficient, Generalised Top-k Queries. ADBIS (2) Sean Chester
2011	—	`conf`	k-Anonymization of Social Networks by Vertex Addition. ADBIS (2) Sean Chester, Bruce M. Kapron, Ganesh Ramesh, Gautam Srivastava, Alex Thomo, S. Venkatesh
2009	—	`conf`	Scalable APRIORI-Based Frequent Pattern Discovery. CSE (1) Sean Chester, Ian Sandler, Alex Thomo