78 citations · 81 across the 6 of their papers we have counts for
10 papers
TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning
Sung Whan Yoon, Jun Seo, Jaekyun Moon
Handling previously unseen tasks after given only a few training examples continues to be a tough challenge in machine learning. We propose TapNets, neural networks augmented with…
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…
A Class of MSR Codes for Clustered Distributed Storage
Jy-yong Sohn, Beongjun Choi, Jaekyun Moon
Clustered distributed storage models real data centers where intra- and cross-cluster repair bandwidths are different. In this paper, exact-repair minimum-storage-regenerating (MSR…
LDPC Code Design for Distributed Storage: Balancing Repair Bandwidth, Reliability and Storage Overhead
Hyegyeong Park, Dongwon Lee, Jaekyun Moon
Distributed storage systems suffer from significant repair traffic generated due to frequent storage node failures. This paper shows that properly designed low-density parity-check…
On Reusing Pilots Among Interfering Cells in Massive MIMO
Jy-yong Sohn, Sung Whan Yoon, Jaekyun Moon
Pilot contamination, caused by the reuse of pilots among interfering cells, remains as a significant obstacle that limits the performance of massive multi-input multi-output antenn…
NOMA in Distributed Antenna System for Max-Min Fairness and Max-Sum-Rate
Dong-Jun Han, Minseok Choi, Jaekyun Moon
Distributed antenna system (DAS) has been deployed for over a decade. DAS has advantages in capacity especially for the cell edge users, in both single-cell and multi-cell environm…