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Young-Woo Kwon 0001

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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

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2020 – today

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2024
[j15]
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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)
[c41]
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Seonhyeong Kim, Young-Woo Kwon:
Applying GNN Models for Diverse Disaster Detection using Temporal Knowledge Graphs. ICAIIC 2024: 681-684
[c40]
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Manish Pandey, Young-Woo Kwon:
FuncMem: Reducing Cold Start Latency in Serverless Computing Through Memory Prediction and Adaptive Task Execution. SAC 2024: 131-138
[c39]
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Irshad Khan, Young-Woo Kwon:
A Structural-Semantic Approach Integrating Graph-Based and Large Language Models Representation to Detect Android Malware. SEC 2024: 279-293
2023
[j14]
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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]
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Aming Wu, Young-Woo Kwon:
Enhancing Recommendation Capabilities Using Multi-Head Attention-Based Federated Knowledge Distillation. IEEE Access 11: 45850-45861 (2023)
[c38]
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Seonhyeong Kim, Irshad Khan, Young-Woo Kwon:
Realtime Disaster Detection Through GNN Models Using Disaster Knowledge Graphs. ASONAM 2023: 221-228
[c37]
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Aming Wu, Young-Woo Kwon:
AD-TIN: Edge Anomaly Detection for Temporal Interaction Networks using Multi-representation Attention. ASONAM 2023: 229-236
[c36]
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Manish Pandey, Young-Woo Kwon:
Optimizing Memory Allocation in a Serverless Architecture through Function Scheduling. CCGridW 2023: 275-277
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Aming Wu, Young-Woo Kwon:
MAFD: A Federated Distillation Approach with Multi-head Attention for Recommendation Tasks. SAC 2023: 1221-1224
[c34]
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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]
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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]
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Irshad Khan, Young-Woo Kwon:
Attention-based Malware Detection of Android Applications. IEEE Big Data 2022: 6693-6695
[c32]
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Seonhyeong Kim, Young-Woo Kwon:
Construction of Disaster Knowledge Graphs to Enhance Disaster Resilience. IEEE Big Data 2022: 6721-6723
[c31]
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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]
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Yoola Choi, Young-Woo Kwon:
An Assessment of Graph Neural Networks for Detecting Pointer and Type Errors. ICTC 2022: 1167-1171
[c29]
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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]
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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]
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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]
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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]
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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]
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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]
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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]
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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]
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Young-Woo Kwon, Jae-Kwang Ahn, Jimin Lee, Chul-Ho Lee:
Earthquake Early Warning Using Low-Cost MEMS Sensors. IGARSS 2020: 6635-6637
[c23]
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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

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2019
[j8]
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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]
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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]
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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]
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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]
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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]
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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]
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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]
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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]
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Zheng Song, Minh Le, Young-Woo Kwon, Eli Tilevich:
Extemporaneous Micro-Mobile Service Execution Without Code Sharing. ICDCS Workshops 2017: 181-186
[c17]
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Minh Le, Young-Woo Kwon:
Utilizing nearby computing resources for resource-limited mobile devices. SAC 2017: 572-575
2016
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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
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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]
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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]
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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]
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Young-Woo Kwon, Eli Tilevich:
Mobile devices as interfaces for steering cloud-based high-performance computations. MobileDeLi 2015: 11-12
2014
[b1]
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Young-Woo Kwon:
Effective Fusion and Separation of Distribution, Fault-Tolerance, and Energy-Efficiency Concerns. Virginia Tech, Blacksburg, VA, USA, 2014
[j4]
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Young-Woo Kwon, Eli Tilevich:
Cloud refactoring: automated transitioning to cloud-based services. Autom. Softw. Eng. 21(3): 345-372 (2014)
[j3]
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Eli Tilevich, Young-Woo Kwon:
Cloud-Based Execution to Improve Mobile Application Energy Efficiency. Computer 47(1): 75-77 (2014)
[c11]
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Young-Woo Kwon, Eli Tilevich:
Configurable and adaptive middleware for energy-efficient distributed mobile computing. MobiCASE 2014: 106-115
[c10]
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Young-Woo Kwon, Eli Tilevich:
Constraint-driven dynamic adaptation of mobile applications for quality of service. MobiCASE 2014: 143-152
2013
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Young-Woo Kwon, Eli Tilevich:
The impact of distributed programming abstractions on application energy consumption. Inf. Softw. Technol. 55(9): 1602-1613 (2013)
[c9]
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Young-Woo Kwon, Eli Tilevich:
Reducing the Energy Consumption of Mobile Applications Behind the Scenes. ICSM 2013: 170-179
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Young-Woo Kwon:
Automated S/W Reengineering for Fault-Tolerant and Energy-Efficient Distributed Execution. ICSM 2013: 582-585
[c7]
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Young-Woo Kwon:
Effective fusion and separation of distribution, fault-tolerance, and energy-efficiency concerns. SPLASH (Companion Volume) 2013: 53-56
[c6]
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Young-Woo Kwon:
Orchestrating mobile application execution for performance and energy efficiency. SPLASH (Companion Volume) 2013: 125-126
2012
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Young-Woo Kwon, Eli Tilevich:
Energy-Efficient and Fault-Tolerant Distributed Mobile Execution. ICDCS 2012: 586-595
2011
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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)
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Young-Woo Kwon, Eli Tilevich:
A declarative approach to hardening services against QoS vulnerabilities. MESOCA 2011: 1-10
2010
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Young-Woo Kwon, Eli Tilevich, William R. Cook:
An Assessment of Middleware Platforms for Accessing Remote Services. IEEE SCC 2010: 482-489

2000 – 2009

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2009
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Young-Woo Kwon, Eli Tilevich:
Systematic hardening of distributed component applications to improve their QoS. Middleware (Companion) 2009: 33
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Young-Woo Kwon, Eli Tilevich, Taweesup Apiwattanapong:
DR-OSGi: Hardening Distributed Components with Network Volatility Resiliency. Middleware 2009: 373-392

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