Adaptive Quantization-based Communication Data Management for High-Performance Geo-computation in Grid Computing. - In Kee Kim; Yong Beom Ma; Jong Sik Lee (GCC Workshops, 2006)

Resource Demand Prediction-Based Grid Resource Transaction Network Model in Grid Computing Environment. - In Kee Kim; Jong Sik Lee (ICCSA (5), 2006)

Node Availability-Based Congestion Control Model Using Fuzzy Logic for Computational Grid. - Sung-Ho Jang; In Kee Kim; Jong Sik Lee (FGCN (1), 2007)

Adaptive Distance Filter-based Traffic Reduction for Mobile Grid. - In Kee Kim; Sung-Ho Jang; Jong Sik Lee (ICDCS Workshops, 2007)

QLP-LBS: Quantization and Location Prediction-Based LBS for Reduction of Location Update Costs. - In Kee Kim; Sung-Ho Jang; Jong Sik Lee (ISPA Workshops, 2007)

Adaptive and Mobility-predictive Quantization-based Communication Data Management for High Performance Distributed Computing. - In Kee Kim; Sung-Ho Jang; Jong Sik Lee (Simul., 2007)

CloudDRN: A Lightweight, End-to-End System for Sharing Distributed Research Data in the Cloud. - Marty Humphrey; Jacob Steele; In Kee Kim; Michael G. Kahn; Jessica Bondy; Michael Ames (e-Science, 2013)

Comprehensive Elastic Resource Management to Ensure Predictable Performance for Scientific Applications on Public IaaS Clouds. - In Kee Kim; Jacob Steele; Yanjun Qi; Marty Humphrey (UCC, 2014)

PICS: A Public IaaS Cloud Simulator. - In Kee Kim; Wei Wang 054; Marty Humphrey (CLOUD, 2015)

Toward Optimal Resource Provisioning for Cloud MapReduce and Hybrid Cloud Applications. - Arkaitz Ruiz-Alvarez; In Kee Kim; Marty Humphrey (CLOUD, 2015)

WDCloud: An end to end system for large-scale watershed delineation on cloud. - In Kee Kim; Jacob Steele; Anthony M. Castronova; Jonathan L. Goodall; Marty Humphrey (IEEE BigData, 2015)

Empirical Evaluation of Workload Forecasting Techniques for Predictive Cloud Resource Scaling. - In Kee Kim; Wei Wang 054; Yanjun Qi; Marty Humphrey (CLOUD, 2016)

A Supervised Learning Model for Identifying Inactive VMs in Private Cloud Data Centers. - In Kee Kim; Sai Zeng; Christopher C. Young; Jinho Hwang; Marty Humphrey (Middleware Industry, 2016)

iCSI: A Cloud Garbage VM Collector for Addressing Inactive VMs with Machine Learning. - In Kee Kim; Sai Zeng; Christopher C. Young; Jinho Hwang; Marty Humphrey (IC2E, 2017)

CloudInsight: Utilizing a Council of Experts to Predict Future Cloud Application Workloads. - In Kee Kim; Wei Wang 054; Yanjun Qi; Marty Humphrey (IEEE CLOUD, 2018)

Orchestra: Guaranteeing Performance SLAs for Cloud Applications by Avoiding Resource Storms. - In Kee Kim; Jinho Hwang; Wei Wang 054; Marty Humphrey (ISPDC, 2018)

#selfharm on Instagram: Quantitative Analysis and Classification of Non-Suicidal Self-Injury. - Lei Xian; Samuel Dakota Vickers; Amanda L. Giordano; Jaewoo Lee; In Kee Kim; Lakshmish Ramaswamy (CogMI, 2019)

A Self-Optimized Generic Workload Prediction Framework for Cloud Computing. - Vinodh Kumaran Jayakumar; Jaewoo Lee; In Kee Kim; Wei Wang 054 (IPDPS, 2020)

An Empirical Analysis of VM Startup Times in Public IaaS Clouds. - Jianwei Hao; Ting Jiang; Wei Wang 054; In Kee Kim (CLOUD, 2021)

AI Multi-Tenancy on Edge: Concurrent Deep Learning Model Executions and Dynamic Model Placements on Edge Devices. - Piyush Subedi; Jianwei Hao; In Kee Kim; Lakshmish Ramaswamy (CLOUD, 2021)

Characterizing Resource Heterogeneity in Edge Devices for Deep Learning Inferences. - Jianwei Hao; Piyush Subedi; In Kee Kim; Lakshmish Ramaswamy (SNTA@HPDC, 2021)

Performance Testing for Cloud Computing with Dependent Data Bootstrapping. - Sen He 002; Tianyi Liu; Palden Lama; Jaewoo Lee; In Kee Kim; Wei Wang 054 (ASE, 2021)

ChatterHub: Privacy Invasion via Smart Home Hub. - Omid Setayeshfar; Karthika Subramani; Xingzi Yuan; Raunak Dey; Dezhi Hong; Kyu Hyung Lee; In Kee Kim (SMARTCOMP, 2021)

An Empirical Analysis of VM Startup Times in Public IaaS Clouds: An Extended Report. - Jianwei Hao; Ting Jiang; Wei Wang 054; In Kee Kim (CoRR, 2021)

Wasserstein Adversarial Transformer for Cloud Workload Prediction. - Shivani Arbat; Vinodh Kumaran Jayakumar; Jaewoo Lee; Wei Wang 054; In Kee Kim (AAAI, 2022)

EdgeFaaSBench: Benchmarking Edge Devices Using Serverless Computing. - Kaustubh Rajendra Rajput; Chinmay Dilip Kulkarni; Byungjin Cho; Wei Wang 054; In Kee Kim (EDGE, 2022)

CloudBruno: A Low-Overhead Online Workload Prediction Framework for Cloud Computing. - Vinodh Kumaran Jayakumar; Shivani Arbat; In Kee Kim; Wei Wang 054 (IC2E, 2022)

Privacy invasion via smart-home hub in personal area networks. - Omid Setayeshfar; Karthika Subramani; Xingzi Yuan; Raunak Dey; Dezhi Hong; In Kee Kim; Kyu Hyung Lee (Pervasive Mob. Comput., 2022)

Guaranteeing Performance SLAs of Cloud Applications Under Resource Storms. - In Kee Kim; Jinho Hwang; Wei Wang 054; Marty Humphrey (IEEE Trans. Cloud Comput., 2022)

Forecasting Cloud Application Workloads With CloudInsight for Predictive Resource Management. - In Kee Kim; Wei Wang 054; Yanjun Qi; Marty Humphrey (IEEE Trans. Cloud Comput., 2022)

CNT: Semi-Automatic Translation from CWL to Nextflow for Genomic Workflows. - Martin L. Putra; In Kee Kim; Haryadi S. Gunawi; Robert L. Grossman (BIBE, 2023)

Toward Low-Cost and Sustainable IoT Systems for Soil Monitoring in Coastal Wetlands. - Jianwei Hao; Rajneesh Sharma; Mary B. Fleming; In Kee Kim; Deepak R. Mishra 005; S. Sonny Kim; Lori A. Sutter; Lakshmish Ramaswamy (CIC, 2023)

DynaES: Dynamic Energy Scheduling for Energy Harvesting Environmental Sensors. - Jianwei Hao; Emmanuel Oni; In Kee Kim; Lakshmish Ramaswamy (IPCCC, 2023)

A Study of Java Microbenchmark Tail Latencies. - Sen He 002; In Kee Kim; Wei Wang 054 (ICPE (Companion), 2023)

Reaching for the Sky: Maximizing Deep Learning Inference Throughput on Edge Devices with AI Multi-Tenancy. - Jianwei Hao; Piyush Subedi; Lakshmish Ramaswamy; In Kee Kim (ACM Trans. Internet Techn., 2023)

Characterizing Deep Learning Model Compression with Post-Training Quantization on Accelerated Edge Devices. - Rakandhiya D. Rachmanto; Zaki Sukma; Ahmad N. L. Nabhaan; Arief Setyanto; Ting Jiang; In Kee Kim (EDGE, 2024)

An Empirical Evaluation of the Impact of Solar Correction in NeRFs for Satellite Imagery. - Devjyoti Chakraborty; Kriti Ghosh; Zaki Sukma; In Kee Kim; Lakshmish Ramaswamy; Suchendra M. Bhandarkar; Deepak R. Mishra 005 (ICPR (18), 2024)

Near-Edge Computing Aware Object Detection: A Review. - Arief Setyanto; Theopilus Bayu Sasongko; Muhammad Ainul Fikri; In Kee Kim (IEEE Access, 2024)

Using a random forest to predict quantized reuse distance in an SSD write buffer. - Hyejin Cha; In Kee Kim; Taeseok Kim (Computing, 2024)

Knowledge Distillation in Object Detection for Resource-Constrained Edge Computing. - Arief Setyanto; Theopilus Bayu Sasongko; Muhammad Ainul Fikri; Dhani Ariatmanto; I Made Artha Agastya; Rakandhiya D. Rachmanto; Affan Ardana; In Kee Kim (IEEE Access, 2025)