Joshua R. Wang - Concepedia

Author

Joshua R. Wang

Stanford University ORCID

Also Known As

Joshua R. Wang, Joshua Wang, Wang, Joshua, Wang, Joshua R.

Publications

407

Citations

H-Index

Concepts

All Affiliations

Stanford University Google (United States)

About

Joshua R. Wang is an author at Stanford University specializing in engineering, computer science, and combinatorial optimization.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	7	7	225
2	Business	4	4	103
3	Education	2	2	68
4	Law	1	1	24
5	Computer Engineering	1	1	35

Joshua R. Wang

Publications

366

Citations

H-Index

Page 1

	Year	Citations
Approximation Bounds for Hierarchical Clustering: Average Linkage, Bisecting K-means, and Local Search Benjamin Moseley, Joshua R. Wang Neural Information Processing Systems Cluster ComputingEngineeringFuzzy ClusteringRange SearchingCombinatorial Data Analysis	2017	82
Shuffles and Circuits Tim Roughgarden, Sergei Vassilvitskii, Joshua R. Wang Circuit ComplexityCluster ComputingEngineeringNetwork AnalysisEducation	2016	35
Minimizing Regret with Multiple Reserves Tim Roughgarden, Joshua R. Wang Mathematical ProgrammingReserve PricesEngineeringBehavioral Decision MakingGame Theory	2016	35
Finding four-node subgraphs in triangle time Virginia Vassilevska Williams, Joshua R. Wang, Ryan Williams, Symposium on Discrete Algorithms Network ScienceGraph TheoryTriangle FindingInduced Four-node SubgraphsStructural Graph Theory	2015	33
Shuffles and Circuits (On Lower Bounds for Modern Parallel Computation) Tim Roughgarden, Sergei Vassilvitskii, Joshua R. Wang Journal of the ACM Circuit ComplexityCluster ComputingComputational Complexity TheoryEngineeringDistributed Algorithms	2018	32
Finding Four-Node Subgraphs in Triangle Time Virginia Vassilevska Williams, Joshua R. Wang, Ryan Williams,	2014	32
Contracts under Moral Hazard and Adverse Selection Guru Guruganesh, Jon Schneider, Joshua R. Wang Public PolicyAgent Decision-makingAgent TheoryGame TheoryRisk Management	2021	24
Optimal Algorithms for Continuous Non-monotone Submodular and DR-Submodular Maximization Rad Niazadeh, Tim Roughgarden, Joshua R. Wang arXiv (Cornell University)	2018	23
Efficient Rematerialization for Deep Networks Ravi Kumar, Manish Purohit, Zoya Svitkina, Neural Information Processing Systems Artificial IntelligenceConvolutional Neural NetworkEngineeringMachine LearningData Science	2019	20
A New Application of Orthogonal Range Searching for Computing Giant Graph Diameters Amir Abboud, Virginia Vassilevska Williams, Joshua R. Wang arXiv (Cornell University)	2015	17

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