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 | 277 | 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 | 130 | 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 | 81 | 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 | 43 | 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 | 40 | 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 | 39 | 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 | 34 | 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 | 32 | 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 | 28 | 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 | 26 | 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 | 26 | 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 | 26 | 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 | 20 | 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 | 20 | 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 | 19 | 2008 |
Enhanced cooperative communication MAC for mobile wireless networks D An, H Woo, H Yoon, I Yeom Computer Networks 57 (1), 99-116, 2013 | 18 | 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 | 15 | 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 | 15 | 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 | 14 | 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 | 13 | 2016 |