CNU MADE Lab
CNU MADE Lab
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Publications
Type
Conference paper
Paper-Journal
Date
2024
2023
2022
2021
2015
2014
2013
Jong-Ryul Lee
,
Yong-Hyuk Moon
(2024).
Revisiting Layer-level Residual Connections for Efficient Object Detection
. In
AVSS 2024
.
Jong-Ryul Lee
,
Yong-Hyuk Moon
(2023).
Bespoke: A Block-Level Neural Network Optimization Framework for Low-Cost Deployment
. In
AAAI 2023
.
PDF
Jong-Ryul Lee
,
Yong-Hyuk Moon
(2022).
Rethinking Group Fisher Pruning for Efficient Label-Free Network Compression
. In
BMVC 2023
.
PDF
Jong-Ryul Lee
,
Yong-Ju Lee
,
Yong-Hyuk Moon
(2021).
Block-wise Word Embedding Compression Revisited: Better Weighting and Structuring
. In
EMNLP(Findings) 2021
.
PDF
DOI
Jong-Ryul Lee
,
Chin-Wan Chung
(2021).
Efficient Distance Sensitivity Oracles for Real-World Graph Data
. In
IEEE TKDE
.
PDF
Jong-Ryul Lee
,
Chin-Wan Chung
(2015).
A Query Approach for Influence Maximization on Specific Users in Social Networks
. In
IEEE TKDE
.
PDF
Jong-Ryul Lee
,
Chin-Wan Chung
(2014).
A Fast Approximation for Influence Maximization in Large Social Networks
. In
WWW ‘14 Companion
.
PDF
Yufei Tao
,
Cheng Sheng
,
Chin-Wan Chung
,
Jong-Ryul Lee
(2013).
Range Aggregation With Set Selection
. In
IEEE TKDE
.
PDF
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