| 2026 | CC | TinyGen: Portable and Compact Code Generation for Tiny Machine Learning. | Gaeun Ko, Seonyeong Heo |
| 2025 | ICCV | What to Distill? Fast Knowledge Distillation with Adaptive Sampling. | Byungchul Chae, Seonyeong Heo |
| 2024 | ICPP | CR2: Community-aware Compressed Regular Representation for Graph Processing on a GPU. | Shinnung Jeong, Sungjun Cho, Yongwoo Lee, Hyunjun Park, Seonyeong Heo, Gwangsun Kim, Youngsok Kim, Hanjun Kim |
| 2024 | RTCSA | One-Shot Sparse Neural Architecture Search for Resource-Constrained Devices. | Shenghui Song, Jan-Nico Zaech, Seonyeong Heo |
| 2022 | CGO | HECATE: Performance-Aware Scale Optimization for Homomorphic Encryption Compiler. | Yongwoo Lee, Seonyeong Heo, Seonyoung Cheon, Shinnung Jeong, Changsu Kim, Eunkyung Kim, Dongyoon Lee, Hanjun Kim |
| 2022 | ECRTS | RTScale: Sensitivity-Aware Adaptive Image Scaling for Real-Time Object Detection. | Seonyeong Heo, Shinnung Jeong, Hanjun Kim |
| 2020 | RTAS | Real-Time Object Detection System with Multi-Path Neural Networks. | Seonyeong Heo, Sungjun Cho, Youngsok Kim, Hanjun Kim |
| 2020 | RTAS | Sharing-aware Data Acquisition Scheduling for Multiple Rules in the IoT. | Seonyeong Heo, Seungbin Song, Bongjun Kim, Hanjun Kim |
| 2019 | CC | Spinal code: automatic code extraction for near-user computation in fogs. | Bongjun Kim, Seonyeong Heo, Gyeongmin Lee, Seungbin Song, Jong Kim, Hanjun Kim |
| 2017 | RTSS | RT-IFTTT: Real-Time IoT Framework with Trigger Condition-Aware Flexible Polling Intervals. | Seonyeong Heo, Seungbin Song, Jong Kim, Hanjun Kim |
| 2017 | RSP | Rapid prototyping of IoT applications with Esperanto compiler. | Gyeongmin Lee, Seonyeong Heo, Bongjun Kim, Jong Kim, Hanjun Kim |
| 2015 | MICRO | Architecture-aware automatic computation offload for native applications. | Gwangmu Lee, Hyunjoon Park, Seonyeong Heo, Kyung-Ah Chang, Hyogun Lee, Hanjun Kim |