ScissionLite: Accelerating Distributed Deep Neural Networks Using Transfer Layer. - Hyunho Ahn; Munkyu Lee; Cheol-Ho Hong; Blesson Varghese (CoRR, 2021)

gShare: A centralized GPU memory management framework to enable GPU memory sharing for containers. - Munkyu Lee; Hyunho Ahn; Cheol-Ho Hong; Dimitrios S. Nikolopoulos (Future Gener. Comput. Syst., 2022)

Performance Characterization of Using Quantization for DNN Inference on Edge Devices. - Hyunho Ahn; Tian Chen; Nawras Alnaasan; Aamir Shafi; Mustafa Abduljabbar; Hari Subramoni; Dhabaleswar K. Panda 001 (ICFEC, 2023)

Performance Characterization of using Quantization for DNN Inference on Edge Devices: Extended Version. - Hyunho Ahn; Tian Chen; Nawras Alnaasan; Aamir Shafi; Mustafa Abduljabbar; Hari Subramoni; Dhabaleswar K. Panda 001 (CoRR, 2023)

Accurate Crack Detection Based on Distributed Deep Learning for IoT Environment. - Young-Pil Kim; Shinuk Yi; Hyunho Ahn; Cheol-Ho Hong (Sensors, 2023)

ScissionLite: Accelerating Distributed Deep Learning With Lightweight Data Compression for IIoT. - Hyunho Ahn; Munkyu Lee; Sihoon Seong; Gap-Joo Na; In-Geol Chun; Blesson Varghese; Cheol-Ho Hong (IEEE Trans. Ind. Informatics, 2024)

Artificial Intelligence of Things: A Survey. - Shakhrul Iman Siam; Hyunho Ahn; Li Liu 048; Samiul Alam; Hui Shen; Zhichao Cao 001; Ness B. Shroff; Bhaskar Krishnamachari; Mani Srivastava 001; Mi Zhang 002 (ACM Trans. Sens. Networks, 2025)