In Kee Kim

47 papers A* 2A 1B 9C 3Misc 1Journal 15Unranked 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
Covariance-Guided Resource Adaptive Learning for Efficient Edge Inference.
CoRR
Ahmad N. L. Nabhaan, Zaki Sukma, Rakandhiya D. Rachmanto, Muhammad Husni Santriaji, Byungjin Cho, Arief Setyanto, In Kee Kim
2026 J jnl
Fast and Generalizable NeRF Architecture Selection for Satellite Scene Reconstruction.
CoRR
Devjyoti Chakraborty, Zaki Sukma, Rakandhiya D. Rachmanto, Kriti Ghosh, In Kee Kim, Suchendra M. Bhandarkar, Lakshmish Ramaswamy, Nancy O'Hare, Deepak Mishra
2025 J jnl
Beyond Single LLMs: Enhanced Code Generation via Multi-Stage Performance-Guided LLM Orchestration.
CoRR
Huashan Chen, Zhenyu Qi, Haotang Li, Hong Chen, Jinfu Chen, Kebin Peng, In Kee Kim, Kyu Hyung Lee, Sen He
2025 — conf
Convergo: Multi-SLO-Aware Scheduling for Heterogeneous AI Accelerators on Edge Devices.
EDGE
Ting Jiang, Jianwei Hao, Sushruth Harsha, Rakandhiya D. Rachmanto, Arief Setyanto, Lakshmish Ramaswamy, In Kee Kim
2025 J jnl
Knowledge Distillation in Object Detection for Resource-Constrained Edge Computing.
IEEE Access
Arief Setyanto, Theopilus Bayu Sasongko, Muhammad Ainul Fikri, Dhani Ariatmanto, I Made Artha Agastya, Rakandhiya D. Rachmanto, Affan Ardana, In Kee Kim
2025 J jnl
Δ-NeRF: Incremental Refinement of Neural Radiance Fields through Residual Control and Knowledge Transfer.
CoRR
Kriti Ghosh, Devjyoti Chakraborty, Lakshmish Ramaswamy, Suchendra M. Bhandarkar, In Kee Kim, Nancy O'Hare, Deepak Mishra
2024 — conf
An Empirical Evaluation of the Impact of Solar Correction in NeRFs for Satellite Imagery.
ICPR (18)
Devjyoti Chakraborty, Kriti Ghosh, Zaki Sukma, In Kee Kim, Lakshmish Ramaswamy, Suchendra M. Bhandarkar, Deepak R. Mishra
2024 — conf
Characterizing Deep Learning Model Compression with Post-Training Quantization on Accelerated Edge Devices.
EDGE
Rakandhiya D. Rachmanto, Zaki Sukma, Ahmad N. L. Nabhaan, Arief Setyanto, Ting Jiang, In Kee Kim
2024 J jnl
Near-Edge Computing Aware Object Detection: A Review.
IEEE Access
Arief Setyanto, Theopilus Bayu Sasongko, Muhammad Ainul Fikri, In Kee Kim
2024 J jnl
Using a random forest to predict quantized reuse distance in an SSD write buffer.
Computing
Hyejin Cha, In Kee Kim, Taeseok Kim
2023 — conf
A Study of Java Microbenchmark Tail Latencies.
ICPE (Companion)
Sen He, In Kee Kim, Wei Wang
2023 C conf
CNT: Semi-Automatic Translation from CWL to Nextflow for Genomic Workflows.
BIBE
Martin L. Putra, In Kee Kim, Haryadi S. Gunawi, Robert L. Grossman
2023 C conf
DynaES: Dynamic Energy Scheduling for Energy Harvesting Environmental Sensors.
IPCCC
Jianwei Hao, Emmanuel Oni, In Kee Kim, Lakshmish Ramaswamy
2023 J jnl
Reaching for the Sky: Maximizing Deep Learning Inference Throughput on Edge Devices with AI Multi-Tenancy.
ACM Trans. Internet Techn.
Jianwei Hao, Piyush Subedi, Lakshmish Ramaswamy, In Kee Kim
2023 — conf
Toward Low-Cost and Sustainable IoT Systems for Soil Monitoring in Coastal Wetlands.
CIC
Jianwei Hao, Rajneesh Sharma, Mary B. Fleming, In Kee Kim, Deepak R. Mishra, S. Sonny Kim, Lori A. Sutter, Lakshmish Ramaswamy
2022 B conf
CloudBruno: A Low-Overhead Online Workload Prediction Framework for Cloud Computing.
IC2E
Vinodh Kumaran Jayakumar, Shivani Arbat, In Kee Kim, Wei Wang
2022 — conf
EdgeFaaSBench: Benchmarking Edge Devices Using Serverless Computing.
EDGE
Kaustubh Rajendra Rajput, Chinmay Dilip Kulkarni, Byungjin Cho, Wei Wang, In Kee Kim
2022 J jnl
Forecasting Cloud Application Workloads With CloudInsight for Predictive Resource Management.
IEEE Trans. Cloud Comput.
In Kee Kim, Wei Wang, Yanjun Qi, Marty Humphrey
2022 J jnl
Guaranteeing Performance SLAs of Cloud Applications Under Resource Storms.
IEEE Trans. Cloud Comput.
In Kee Kim, Jinho Hwang, Wei Wang, Marty Humphrey
2022 J jnl
Privacy invasion via smart-home hub in personal area networks.
Pervasive Mob. Comput.
Omid Setayeshfar, Karthika Subramani, Xingzi Yuan, Raunak Dey, Dezhi Hong, In Kee Kim, Kyu Hyung Lee
2022 A* conf
Wasserstein Adversarial Transformer for Cloud Workload Prediction.
AAAI
Shivani Arbat, Vinodh Kumaran Jayakumar, Jaewoo Lee, Wei Wang, In Kee Kim
2022 J jnl
Wasserstein Adversarial Transformer for Cloud Workload Prediction.
CoRR
Shivani Arbat, Vinodh Kumaran Jayakumar, Jaewoo Lee, Wei Wang, In Kee Kim
2021 B conf
AI Multi-Tenancy on Edge: Concurrent Deep Learning Model Executions and Dynamic Model Placements on Edge Devices.
CLOUD
Piyush Subedi, Jianwei Hao, In Kee Kim, Lakshmish Ramaswamy
2021 J jnl
AI Multi-Tenancy on Edge: Concurrent Deep Learning Model Executions and Dynamic Model Placements on Edge Devices.
CoRR
Piyush Subedi, Jianwei Hao, In Kee Kim, Lakshmish Ramaswamy
2021 B conf
An Empirical Analysis of VM Startup Times in Public IaaS Clouds.
CLOUD
Jianwei Hao, Ting Jiang, Wei Wang, In Kee Kim
2021 J jnl
An Empirical Analysis of VM Startup Times in Public IaaS Clouds: An Extended Report.
CoRR
Jianwei Hao, Ting Jiang, Wei Wang, In Kee Kim
2021 — conf
Characterizing Resource Heterogeneity in Edge Devices for Deep Learning Inferences.
SNTA@HPDC
Jianwei Hao, Piyush Subedi, In Kee Kim, Lakshmish Ramaswamy
2021 B conf
ChatterHub: Privacy Invasion via Smart Home Hub.
SMARTCOMP
Omid Setayeshfar, Karthika Subramani, Xingzi Yuan, Raunak Dey, Dezhi Hong, Kyu Hyung Lee, In Kee Kim
2021 A* conf
Performance Testing for Cloud Computing with Dependent Data Bootstrapping.
ASE
Sen He, Tianyi Liu, Palden Lama, Jaewoo Lee, In Kee Kim, Wei Wang
2020 A conf
A Self-Optimized Generic Workload Prediction Framework for Cloud Computing.
IPDPS
Vinodh Kumaran Jayakumar, Jaewoo Lee, In Kee Kim, Wei Wang
2019 — conf
#selfharm on Instagram: Quantitative Analysis and Classification of Non-Suicidal Self-Injury.
CogMI
Lei Xian, Samuel Dakota Vickers, Amanda L. Giordano, Jaewoo Lee, In Kee Kim, Lakshmish Ramaswamy
2018 — conf
CloudInsight: Utilizing a Council of Experts to Predict Future Cloud Application Workloads.
IEEE CLOUD
In Kee Kim, Wei Wang, Yanjun Qi, Marty Humphrey
2018 C conf
Orchestra: Guaranteeing Performance SLAs for Cloud Applications by Avoiding Resource Storms.
ISPDC
In Kee Kim, Jinho Hwang, Wei Wang, Marty Humphrey
2017 B conf
iCSI: A Cloud Garbage VM Collector for Addressing Inactive VMs with Machine Learning.
IC2E
In Kee Kim, Sai Zeng, Christopher C. Young, Jinho Hwang, Marty Humphrey
2016 — conf
A Supervised Learning Model for Identifying Inactive VMs in Private Cloud Data Centers.
Middleware Industry
In Kee Kim, Sai Zeng, Christopher C. Young, Jinho Hwang, Marty Humphrey
2016 B conf
Empirical Evaluation of Workload Forecasting Techniques for Predictive Cloud Resource Scaling.
CLOUD
In Kee Kim, Wei Wang, Yanjun Qi, Marty Humphrey
2015 B conf
PICS: A Public IaaS Cloud Simulator.
CLOUD
In Kee Kim, Wei Wang, Marty Humphrey
2015 B conf
Toward Optimal Resource Provisioning for Cloud MapReduce and Hybrid Cloud Applications.
CLOUD
Arkaitz Ruiz-Alvarez, In Kee Kim, Marty Humphrey
2015 — conf
WDCloud: An end to end system for large-scale watershed delineation on cloud.
IEEE BigData
In Kee Kim, Jacob Steele, Anthony M. Castronova, Jonathan L. Goodall, Marty Humphrey
2014 Misc conf
Comprehensive Elastic Resource Management to Ensure Predictable Performance for Scientific Applications on Public IaaS Clouds.
UCC
In Kee Kim, Jacob Steele, Yanjun Qi, Marty Humphrey
2013 B conf
CloudDRN: A Lightweight, End-to-End System for Sharing Distributed Research Data in the Cloud.
e-Science
Marty Humphrey, Jacob Steele, In Kee Kim, Michael G. Kahn, Jessica Bondy, Michael Ames
2007 — conf
Adaptive Distance Filter-based Traffic Reduction for Mobile Grid.
ICDCS Workshops
In Kee Kim, Sung-Ho Jang, Jong Sik Lee
2007 J jnl
Adaptive and Mobility-predictive Quantization-based Communication Data Management for High Performance Distributed Computing.
Simul.
In Kee Kim, Sung-Ho Jang, Jong Sik Lee
2007 — conf
Node Availability-Based Congestion Control Model Using Fuzzy Logic for Computational Grid.
FGCN (1)
Sung-Ho Jang, In Kee Kim, Jong Sik Lee
2007 — conf
QLP-LBS: Quantization and Location Prediction-Based LBS for Reduction of Location Update Costs.
ISPA Workshops
In Kee Kim, Sung-Ho Jang, Jong Sik Lee
2006 — conf
Adaptive Quantization-based Communication Data Management for High-Performance Geo-computation in Grid Computing.
GCC Workshops
In Kee Kim, Yong Beom Ma, Jong Sik Lee
2006 — conf
Resource Demand Prediction-Based Grid Resource Transaction Network Model in Grid Computing Environment.
ICCSA (5)
In Kee Kim, Jong Sik Lee
2023 — conf
Not What You've Signed Up For: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection.
AISec
Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, Christoph Endres, Thorsten Holz, Mario Fritz
2026 — preprint
CCX: Enabling Unmodified Intel SGX Applications on Arm CCA.
arXiv
Matti Schulze, Thorsten Holz, Felix C. Freiling