Honguk Woo
Cited by
Cited by
Middle-tier database caching for e-business
Q Luo, S Krishnamurthy, C Mohan, H Pirahesh, H Woo, BG Lindsay, ...
Proceedings of the 2002 ACM SIGMOD international conference on Management of …, 2002
The identification, implementation, and evaluation of critical user interface design features of computer-assisted instruction programs in mathematics for students with …
YJ Seo, H Woo
Computers & Education 55 (1), 363-377, 2010
Greenbag: Energy-efficient bandwidth aggregation for real-time streaming in heterogeneous mobile wireless networks
DH Bui, K Lee, S Oh, I Shin, H Shin, H Woo, D Ban
2013 IEEE 34th Real-Time Systems Symposium, 57-67, 2013
The monitoring of timing constraints on time intervals
AK Mok, CG Lee, H Woo, P Konana
23rd IEEE Real-Time Systems Symposium, 2002. RTSS 2002., 191-200, 2002
Dbcache: Database caching for web application servers
M Altinel, Q Luo, S Krishnamurthy, C Mohan, H Pirahesh, BG Lindsay, ...
Proceedings of the 2002 ACM SIGMOD international conference on Management of …, 2002
Applying convolutional neural networks with different word representation techniques to recommend bug fixers
SFA Zaidi, FM Awan, M Lee, H Woo, CG Lee
IEEE Access 8, 213729-213747, 2020
Specifying timing constraints and composite events: an application in the design of electronic brokerages
AK Mok, P Konana, G Liu, CG Lee, H Woo
IEEE Transactions on Software Engineering 30 (12), 841-858, 2004
Incorporating resource safety verification to executable model-based development for embedded systems
J Yi, H Woo, JC Browne, AK Mok, F Xie, E Atkins, CG Lee
2008 IEEE Real-Time and Embedded Technology and Applications Symposium, 137-146, 2008
SCARL: Attentive reinforcement learning-based scheduling in a multi-resource heterogeneous cluster
M Cheong, H Lee, I Yeom, H Woo
IEEE Access 7, 153432-153444, 2019
A graph convolution network-based bug triage system to learn heterogeneous graph representation of bug reports
SFA Zaidi, H Woo, CG Lee
IEEE access 10, 20677-20689, 2022
Continual prediction of bug-fix time using deep learning-based activity stream embedding
Y Lee, S Lee, CG Lee, I Yeom, H Woo
IEEE Access 8, 10503-10515, 2020
Probabilistic timing join over uncertain event streams
AK Mok, H Woo, CG Lee
12th IEEE International Conference on Embedded and Real-Time Computing …, 2006
Panda: Reinforcement learning-based priority assignment for multi-processor real-time scheduling
H Lee, J Lee, I Yeom, H Woo
IEEE Access 8, 185570-185583, 2020
Real-time monitoring of uncertain data streams using probabilistic similarity
H Woo, AK Mok
28th IEEE International Real-Time Systems Symposium (RTSS 2007), 288-300, 2007
Design and development methodology for resilient cyber-physical systems
H Woo, J Yi, JC Browne, AK Mok, E Atkins, F Xie
2008 The 28th International Conference on Distributed Computing Systems …, 2008
Enhanced cooperative communication MAC for mobile wireless networks
D An, H Woo, H Yoon, I Yeom
Computer Networks 57 (1), 99-116, 2013
A global DAG task scheduler using deep reinforcement learning and graph convolution network
H Lee, S Cho, Y Jang, J Lee, H Woo
IEEE Access 9, 158548-158561, 2021
Differentiable ranking metric using relaxed sorting for top-k recommendation
H Lee, S Cho, Y Jang, J Kim, H Woo
IEEE Access 9, 114649-114658, 2021
Terminal, cloud apparatus, driving method of terminal, method for processing cooperative data, computer readable recording medium
Y Yoon, D Ban, SW Han, HU Woo, E Heo, SH Shin, J Lee, D An
US Patent 11,228,653, 2022
NDN-based Pub/Sub system for scalable IoT cloud
S Han, H Woo
2016 IEEE International Conference on Cloud Computing Technology and Science …, 2016
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