activity
20162018
most citedSimulating outcomes of interventions using a multipurpose simulation program based on the Evolutionary Causal Matrices and Markov Chain

7 citations · 7 across the 1 of their papers we have counts for

collaborators

5 papers

math.ST2018

Hypergraph Spectral Clustering in the Weighted Stochastic Block Model

Kwangjun Ahn, Kangwook Lee, Changho Suh

Spectral clustering is a celebrated algorithm that partitions objects based on pairwise similarity information. While this approach has been successfully applied to a variety of do…

cs.DC2018

Hierarchical Coding for Distributed Computing

Hyegyeong Park, Kangwook Lee, Jy-yong Sohn +2

Coding for distributed computing supports low-latency computation by relieving the burden of straggling workers. While most existing works assume a simple master-worker model, we c…

stat.AP20177 cited

Simulating outcomes of interventions using a multipurpose simulation program based on the Evolutionary Causal Matrices and Markov Chain

Hyemin Han, Kangwook Lee, Firat Soylu

Predicting long-term outcomes of interventions is necessary for educational and social policy-making processes that might widely influence our society for the long-term. However, p…

cs.IT2017

Community Recovery in Hypergraphs

Kwangjun Ahn, Kangwook Lee, Changho Suh

Community recovery is a central problem that arises in a wide variety of applications such as network clustering, motion segmentation, face clustering and protein complex detection…

cs.IT2016

Fast and Robust Compressive Phase Retrieval with Sparse-Graph Codes

Dong Yin, Kangwook Lee, Ramtin Pedarsani +1

In this paper, we tackle the compressive phase retrieval problem in the presence of noise. The noisy compressive phase retrieval problem is to recover a -sparse complex signal $…