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ORCIDYoung-Woo Kwon 0001
Person information
- affiliation: Kyungpook National University, School of Computer Science, Daegu, Korea
- affiliation (former): Utah State University, UT, USA
- affiliation (PhD 2014): Virginia Tech, Blacksburg, Virginia, USA
Other persons with the same name
- Young-Woo Kwon 0002
![[0000-0001-5121-4314]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-5121-4314")
— Pusan National University, Busan, South Korea - Young-Woo Kwon 0003 — Gwangju Institute of Science and Technology, South Korea
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2020 – today
- 2024
[j15]Irshad Khan, Ziyi Guo, Kihwan Lim, Jaeseon Kim, Young-Woo Kwon:
Assessment of indoor risk through deep learning -based object recognition in disaster situations. Multim. Tools Appl. 83(12): 34669-34690 (2024)- [c39]Seonhyeong Kim, Young-Woo Kwon:
Applying GNN Models for Diverse Disaster Detection using Temporal Knowledge Graphs. ICAIIC 2024: 681-684 - 2023
- [j14]Jae-Kwang Ahn, Jangsoo Lee, Young-Woo Kwon, Jung-Kyu Kim, Dong Youp Kwak:
Development of Seismic Intensity Maps Using Low-Cost Micro-Electro-Mechanical Systems Seismic Network. IEEE Access 11: 39926-39933 (2023) - [j13]Aming Wu, Young-Woo Kwon:
Enhancing Recommendation Capabilities Using Multi-Head Attention-Based Federated Knowledge Distillation. IEEE Access 11: 45850-45861 (2023) - [c38]Seonhyeong Kim, Irshad Khan, Young-Woo Kwon:
Realtime Disaster Detection Through GNN Models Using Disaster Knowledge Graphs. ASONAM 2023: 221-228 - [c37]Aming Wu, Young-Woo Kwon:
AD-TIN: Edge Anomaly Detection for Temporal Interaction Networks using Multi-representation Attention. ASONAM 2023: 229-236 - [c36]Manish Pandey, Young-Woo Kwon:
Optimizing Memory Allocation in a Serverless Architecture through Function Scheduling. CCGridW 2023: 275-277 - [c35]Aming Wu, Young-Woo Kwon:
MAFD: A Federated Distillation Approach with Multi-head Attention for Recommendation Tasks. SAC 2023: 1221-1224 - [c34]Irshad Khan, Young-Woo Kwon:
Multi-class Malware Detection via Deep Graph Convolutional Networks Using TF-IDF-Based Attributed Call Graphs. WISA 2023: 188-200 - 2022
- [j12]Irshad Khan, Young-Woo Kwon:
P-Detector: Real-Time P-Wave Detection in a Seismic Waveform Recorded on a Low-Cost MEMS Accelerometer Using Deep Learning. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [c33]Irshad Khan, Young-Woo Kwon:
Attention-based Malware Detection of Android Applications. IEEE Big Data 2022: 6693-6695 - [c32]Seonhyeong Kim, Young-Woo Kwon:
Construction of Disaster Knowledge Graphs to Enhance Disaster Resilience. IEEE Big Data 2022: 6721-6723 - [c31]Jangsoo Lee, Jae-Heon Sim, Jae-Kwang Ahn, Young-Woo Kwon:
An Open Dataset for Deep Learning-based Earthquake Detection using MEMS Sensors. IEEE Big Data 2022: 6755-6757 - [c30]Yoola Choi, Young-Woo Kwon:
An Assessment of Graph Neural Networks for Detecting Pointer and Type Errors. ICTC 2022: 1167-1171 - [c29]Seonhyeong Kim, Kihwan Lim, Jaeseon Kim, Young-Woo Kwon:
Onsite Earthquake Alert and Safety Services Using Low-Cost MEMS Sensors. IGARSS 2022: 4007-4010 - [c28]Dohan Kim, Aming Wu, Young-Woo Kwon:
Comparison of Meta-Heuristic Algorithms for Task Scheduling in Distributed Stream Processing. PRDC 2022: 252-255 - 2021
- [j11]Seonhyeong Kim, Irshad Khan, Seonhwa Choi, Young-Woo Kwon:
Earthquake Alert Device Using a Low-Cost Accelerometer and its Services. IEEE Access 9: 121964-121974 (2021) - [j10]Aming Wu, Juyong Shin, Jae-Kwang Ahn, Young-Woo Kwon:
Augmenting Seismic Data Using Generative Adversarial Network for Low-Cost MEMS Sensors. IEEE Access 9: 167140-167153 (2021) - [c27]Aming Wu, Jangsoo Lee, Irshad Khan, Young-Woo Kwon:
CrowdQuake+: Data-driven Earthquake Early Warning via IoT and Deep Learning. IEEE BigData 2021: 2068-2075 - [c26]Irshad Khan, Manish Pandey, Young-Woo Kwon:
An earthquake alert system based on a collaborative approach using smart devices. MOBILESoft@ICSE 2021: 61-64 - [c25]Manish Pandey, Breno Dantas Cruz, Minh Le, Young-Woo Kwon, Eli Tilevich:
Here, There, Anywhere: Profiling-Driven Services to Tame the Heterogeneity of Edge Applications. SMDS 2021: 61-71 - 2020
- [j9]Irshad Khan, Seonhwa Choi, Young-Woo Kwon:
Earthquake Detection in a Static and Dynamic Environment Using Supervised Machine Learning and a Novel Feature Extraction Method. Sensors 20(3): 800 (2020) - [c24]Young-Woo Kwon, Jae-Kwang Ahn, Jimin Lee, Chul-Ho Lee:
Earthquake Early Warning Using Low-Cost MEMS Sensors. IGARSS 2020: 6635-6637 - [c23]Xin Huang, Jangsoo Lee, Young-Woo Kwon, Chul-Ho Lee:
CrowdQuake: A Networked System of Low-Cost Sensors for Earthquake Detection via Deep Learning. KDD 2020: 3261-3271
2010 – 2019
- 2019
- [j8]Minh Le, Stephen W. Clyde, Young-Woo Kwon:
Enabling multi-hop remote method invocation in device-to-device networks. Hum. centric Comput. Inf. Sci. 9: 20 (2019) - [j7]Bo Guo, Young-Woo Kwon, Myoungkyu Song:
Decomposing Composite Changes for Code Review and Regression Test Selection in Evolving Software. J. Comput. Sci. Technol. 34(2): 416-436 (2019) - [c22]Jangsoo Lee, Jae-Seon Kim, Seonhwa Choi, Young-Woo Kwon:
A Smart Device Using Low-Cost Sensors to Detect Earthquakes. BigComp 2019: 1-4 - 2018
- [j6]Zhiyuan Chen, Young-Woo Kwon, Myoungkyu Song:
Clone refactoring inspection by summarizing clone refactorings and detecting inconsistent changes during software evolution. J. Softw. Evol. Process. 30(10) (2018) - 2017
- [j5]Myoungkyu Song, Young-Woo Kwon:
Which Code Changes Should You Review First?: A Code Review Tool to Summarize and Prioritize Important Software Changes. J. Multim. Inf. Syst. 4(4): 255-262 (2017) - [c21]Zhiyuan Chen, Maneesh Mohanavilasam, Young-Woo Kwon, Myoungkyu Song:
Tool Support for Managing Clone Refactorings to Facilitate Code Review in Evolving Software. COMPSAC (1) 2017: 288-297 - [c20]Minh Le, Myoungkyu Song, Young-Woo Kwon:
Enabling Flexible and Efficient Remote Execution in Opportunistic Networks through Message-Oriented Middleware. COMPSAC (1) 2017: 979-984 - [c19]Minh Le, Zheng Song, Young-Woo Kwon, Eli Tilevich:
Reliable and efficient mobile edge computing in highly dynamic and volatile environments. FMEC 2017: 113-120 - [c18]Zheng Song, Minh Le, Young-Woo Kwon, Eli Tilevich:
Extemporaneous Micro-Mobile Service Execution Without Code Sharing. ICDCS Workshops 2017: 181-186 - [c17]Minh Le, Young-Woo Kwon:
Utilizing nearby computing resources for resource-limited mobile devices. SAC 2017: 572-575 - 2016
- [c16]Dae-Hyeok Mun, Minh Le Dinh, Young-Woo Kwon:
An Assessment of Internet of Things Protocols for Resource-Constrained Applications. COMPSAC 2016: 555-560 - 2015
- [c15]Young-Woo Kwon, Seungwon Yang, Haeyong Chung:
Enabling Disaster Early Warning via a Configurable Data Collection Framework and Real-time Analytics. HAI 2015: 337-340 - [c14]Young-Woo Kwon, Eli Tilevich:
Facilitating the Implementation of Adaptive Cloud Offloading to Improve the Energy Efficiency of Mobile Applications. MOBILESoft 2015: 94-104 - [c13]Qingkai Kong, Young-Woo Kwon, Louis Schreierz, Steven Allen, Richard M. Allen, Jennifer Strauss:
Smartphone-based networks for earthquake detection. I4CS 2015: 1-8 - [c12]Young-Woo Kwon, Eli Tilevich:
Mobile devices as interfaces for steering cloud-based high-performance computations. MobileDeLi 2015: 11-12 - 2014
- [j4]Young-Woo Kwon, Eli Tilevich:
Cloud refactoring: automated transitioning to cloud-based services. Autom. Softw. Eng. 21(3): 345-372 (2014) - [j3]Eli Tilevich, Young-Woo Kwon:
Cloud-Based Execution to Improve Mobile Application Energy Efficiency. Computer 47(1): 75-77 (2014) - [c11]Young-Woo Kwon, Eli Tilevich:
Configurable and adaptive middleware for energy-efficient distributed mobile computing. MobiCASE 2014: 106-115 - [c10]Young-Woo Kwon, Eli Tilevich:
Constraint-driven dynamic adaptation of mobile applications for quality of service. MobiCASE 2014: 143-152 - 2013
- [j2]Young-Woo Kwon, Eli Tilevich:
The impact of distributed programming abstractions on application energy consumption. Inf. Softw. Technol. 55(9): 1602-1613 (2013) - [c9]Young-Woo Kwon, Eli Tilevich:
Reducing the Energy Consumption of Mobile Applications Behind the Scenes. ICSM 2013: 170-179 - [c8]Young-Woo Kwon:
Automated S/W Reengineering for Fault-Tolerant and Energy-Efficient Distributed Execution. ICSM 2013: 582-585 - [c7]Young-Woo Kwon:
Effective fusion and separation of distribution, fault-tolerance, and energy-efficiency concerns. SPLASH (Companion Volume) 2013: 53-56 - [c6]Young-Woo Kwon:
Orchestrating mobile application execution for performance and energy efficiency. SPLASH (Companion Volume) 2013: 125-126 - 2012
- [c5]Young-Woo Kwon, Eli Tilevich:
Energy-Efficient and Fault-Tolerant Distributed Mobile Execution. ICDCS 2012: 586-595 - 2011
- [j1]Young-Woo Kwon, Eli Tilevich, William R. Cook:
Which middleware platform should you choose for your next remote service? Serv. Oriented Comput. Appl. 5(2): 61-70 (2011) - [c4]Young-Woo Kwon, Eli Tilevich:
A declarative approach to hardening services against QoS vulnerabilities. MESOCA 2011: 1-10 - 2010
- [c3]Young-Woo Kwon, Eli Tilevich, William R. Cook:
An Assessment of Middleware Platforms for Accessing Remote Services. IEEE SCC 2010: 482-489
2000 – 2009
- 2009
- [c2]Young-Woo Kwon, Eli Tilevich:
Systematic hardening of distributed component applications to improve their QoS. Middleware (Companion) 2009: 33 - [c1]Young-Woo Kwon, Eli Tilevich, Taweesup Apiwattanapong:
DR-OSGi: Hardening Distributed Components with Network Volatility Resiliency. Middleware 2009: 373-392
Coauthor Index
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last updated on 2024-04-25 05:42 CEST by the dblp team
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