| 2026 | ICFEC | Coral: Covariance-Guided Resource Adaptive Learning for Efficient Edge Inference. | Ahmad N. L. Nabhaan, Zaki Sukma, Rakandhiya D. Rachmanto, Muhammad Husni Santriaji, Byungjin Cho, Arief Setyanto, In Kee Kim |
| 2026 | ICPR | $\varDelta $-NeRF: Incremental Refinement of Neural Radiance Fields Through Residual Control and Knowledge Transfer. | Kriti Ghosh, Devjyoti Chakraborty, Lakshmish Ramaswamy, Suchendra M. Bhandarkar, In Kee Kim, Nancy O'Hare, Deepak Mishra |
| 2024 | ICPR | 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 |
| 2023 | BIBE | CNT: Semi-Automatic Translation from CWL to Nextflow for Genomic Workflows. | Martin L. Putra, In Kee Kim, Haryadi S. Gunawi, Robert L. Grossman |
| 2023 | IPCCC | DynaES: Dynamic Energy Scheduling for Energy Harvesting Environmental Sensors. | Jianwei Hao, Emmanuel Oni, In Kee Kim, Lakshmish Ramaswamy |
| 2022 | AAAI | Wasserstein Adversarial Transformer for Cloud Workload Prediction. | Shivani Arbat, Vinodh Kumaran Jayakumar, Jaewoo Lee, Wei Wang, In Kee Kim |
| 2022 | IC2E | CloudBruno: A Low-Overhead Online Workload Prediction Framework for Cloud Computing. | Vinodh Kumaran Jayakumar, Shivani Arbat, In Kee Kim, Wei Wang |
| 2021 | HPDC | Characterizing Resource Heterogeneity in Edge Devices for Deep Learning Inferences. | Jianwei Hao, Piyush Subedi, In Kee Kim, Lakshmish Ramaswamy |
| 2021 | SmartComp | ChatterHub: Privacy Invasion via Smart Home Hub. | Omid Setayeshfar, Karthika Subramani, Xingzi Yuan, Raunak Dey, Dezhi Hong, Kyu Hyung Lee, In Kee Kim |
| 2018 | ISPDC | Orchestra: Guaranteeing Performance SLAs for Cloud Applications by Avoiding Resource Storms. | In Kee Kim, Jinho Hwang, Wei Wang, Marty Humphrey |
| 2017 | IC2E | 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 |
| 2016 | Middleware | 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 |
| 2014 | UCC | Comprehensive Elastic Resource Management to Ensure Predictable Performance for Scientific Applications on Public IaaS Clouds. | In Kee Kim, Jacob Steele, Yanjun Qi, Marty Humphrey |
| 2007 | ISPA | QLP-LBS: Quantization and Location Prediction-Based LBS for Reduction of Location Update Costs. | In Kee Kim, Sung-Ho Jang, Jong Sik Lee |
| 2006 | ICCSA | Resource Demand Prediction-Based Grid Resource Transaction Network Model in Grid Computing Environment. | In Kee Kim, Jong Sik Lee |