Hyunho Ahn, Munkyu Lee, Sihoon Seong, Gap-Joo Na, In-Geol Chun, Blesson Varghese, and Cheol-Ho Hong, "ScissionLite: Accelerating Distributed Deep Learning with Lightweight Data Compression for IIoT", IEEE Transactions on Industrial Informatics, Oct 2024 (JCR 2023 IF: 11.7, Top: 1.8%)
– https://doi.org/10.1109/TII.2024.3413340
Hyunho Ahn, Munkyu Lee, Sihoon Seong, Minhyeok Lee, Gap-Joo Na, In-Geol Chun, Youngpil Kim, and Cheol-Ho Hong, "BioEdge: Accelerating Object Detection in Bioimages with Edge-Based Distributed Inference", Electronics, Nov 2023
– https://doi.org/10.3390/electronics12214544
Munkyu Lee, Hyunho Ahn, Cheol-Ho Hong, and Dimitrios S. Nikolopoulos, "gShare: A Centralized GPU Memory Management Framework to Enable GPU Memory Sharing for Containers", Future Generation Computer Systems, May 2022 (JCR 2020 IF: 7.187, Top: 6.3%)
– https://doi.org/10.1016/j.future.2021.12.016
Hyunchan Park, Juyong Seong, Munkyu Lee, Kyungwoon Lee, and Cheol-Ho Hong, "NetAP: Adaptive Polling Technique for Network Packet Processing in Virtualized Environments", Applied Sciences, Jul 2020
– https://doi.org/10.3390/app10155219
Hyunchan Park, Munkyu Lee, and Cheol-Ho Hong, "FirepanIF: High Performance Host-side Flash Cache Warm-up Method in Cloud Computing", Applied Sciences, Feb 2020
– https://doi.org/10.3390/app10031014
Munkyu Lee, Sihoon Seong, Minki Kang, Jihyuk Lee, Gap-Joo Na, In-Geol Chun, Dimitrios Nikolopoulos and Cheol-Ho Hong, "ParvaGPU: Efficient Spatial GPU Sharing for Large-Scale DNN Inference in Cloud Environments", The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC24), Nov 2024
– https://dl.acm.org/doi/abs/10.1109/SC41406.2024.00048
Jongbeom Im, Munkyu Lee, Cheol-Ho Hong and Jaehyun Hwang, "Collaborative Intelligence Framework with Skip-Decoder for Balanced Edge Power and Cloud Cost in Object Detection", The 9th International Conference on Consumer Electronics (ICCE) Asia, Best Paper (bronze) Award, Nov 2024
– https://ieeexplore.ieee.org/document/10773834
Munkyu Lee, Sihoon Seong, Hyunho Ahn and Cheol-Ho Hong, "Accelerating Object Detection in Medical Images with Edge Computing", International Conference on Electronics, Information, and Communication (ICEIC) 2024, Feb 2024
Munkyu Lee, Hyunho Ahn, Sihoon Seong and Cheol-Ho Hong, "DUNet: Accelerating Distributed Deep Learning with Novel Data Compression", International Conference on Electronics, Information, and Communication (ICEIC) 2023, Feb 2023
Munkyu Lee and Cheol-Ho Hong, "Spatial GPU Scheduling Based on Reinforcement Learning for Deep Learning Inference Servers", 18th International Summer School on Advanced Computer Architecture and Compilation for High-performance Embedded Systems, Jul 2022