Offloading of Web Application Computations: A Snapshot-Based Approach. - Hyuk-Jin Jeong; Soo-Mook Moon (EUC, 2015)

Snapshot-based offloading for machine learning web app: work-in-progress. - InChang Jeong; Hyuk-Jin Jeong; Soo-Mook Moon (EMSOFT Companion, 2017)

Cloud-based machine learning for IoT devices with better privacy: work-in-progress. - Hyuk-Jin Jeong; Hyeon-Jae Lee; Soo-Mook Moon (EMSOFT Companion, 2017)

IONN: Incremental Offloading of Neural Network Computations from Mobile Devices to Edge Servers. - Hyuk-Jin Jeong; Hyeon-Jae Lee; Chang Hyun Shin; Soo-Mook Moon (SoCC, 2018)

Computation Offloading for Machine Learning Web Apps in the Edge Server Environment. - Hyuk-Jin Jeong; InChang Jeong; Hyeon-Jae Lee; Soo-Mook Moon (ICDCS, 2018)

Seamless Offloading of Web App Computations From Mobile Device to Edge Clouds via HTML5 Web Worker Migration. - Hyuk-Jin Jeong; Chang Hyun Shin; Kwang Yong Shin; Hyeon-Jae Lee; Soo-Mook Moon (SoCC, 2019)

Lightweight Offloading System for Mobile Edge Computing. - Hyuk-Jin Jeong (PerCom Workshops, 2019)

PerDNN: Offloading Deep Neural Network Computations to Pervasive Edge Servers. - Hyuk-Jin Jeong; Hyeon-Jae Lee; Kwang Yong Shin; Yong Hwan Yoo; Soo-Mook Moon (ICDCS, 2020)

Dynamic Offloading of Web Application Execution Using Snapshot. - Hyuk-Jin Jeong; InChang Jeong; Soo-Mook Moon (ACM Trans. Web, 2020)

Pin or Fuse? Exploiting Scratchpad Memory to Reduce Off-Chip Data Transfer in DNN Accelerators. - Hyuk-Jin Jeong; JiHwan Yeo; Cheongyo Bahk; JongHyun Park (CGO, 2023)