RT-IFTTT: Real-Time IoT Framework with Trigger Condition-Aware Flexible Polling Intervals. - Seonyeong Heo; Seungbin Song; Jong Kim 001; Hanjun Kim 001 (RTSS, 2017)

Spinal code: automatic code extraction for near-user computation in fogs. - Bongjun Kim; Seonyeong Heo; Gyeongmin Lee; Seungbin Song; Jong Kim 001; Hanjun Kim 001 (CC, 2019)

Sharing-aware Data Acquisition Scheduling for Multiple Rules in the IoT. - Seonyeong Heo; Seungbin Song; Bongjun Kim; Hanjun Kim 001 (RTAS, 2020)

Fine-Grained Pipeline Parallelization for Network Function Programs. - Seungbin Song; Heelim Choi; Hanjun Kim 001 (CGO, 2021)

ComFlex: Composable and Flexible Resource Management for the IoT. - Gyeongmin Lee; Bongjun Kim; Seungbin Song; Seonyeong Heo; Hanjun Kim 001 (IEEE Internet Things J., 2021)

Precise Correlation Extraction for IoT Fault Detection With Concurrent Activities. - Gyeongmin Lee; Bongjun Kim; Seungbin Song; Changsu Kim 004; Jong Kim 001; Hanjun Kim 001 (ACM Trans. Embed. Comput. Syst., 2021)

Decoupling Schedule, Topology Layout, and Algorithm to Easily Enlarge the Tuning Space of GPU Graph Processing. - Shinnung Jeong; Yongwoo Lee 001; Jaeho Lee 005; Heelim Choi; Seungbin Song; Jinho Lee; Youngsok Kim; Hanjun Kim 001 (PACT, 2022)

Occamy: Memory-efficient GPU Compiler for DNN Inference. - Jaeho Lee 005; Shinnung Jeong; Seungbin Song; Kunwoo Kim; Heelim Choi; Youngsok Kim; Hanjun Kim 001 (DAC, 2023)

TeMCO: Tensor Memory Compiler Optimization across Tensor Decompositions in Deep Learning Inference. - Seungbin Song; Ju Min Lee; Haeeun Jeong; Hyunho Kwon; Shinnung Jeong; Jaeho Lee 005; Hanjun Kim 001 (ICPP, 2024)