Scaling Up IoT Stream Processing. - Taegeon Um; Gyewon Lee; Sanha Lee; Kyungtae Kim; Byung-Gon Chun (APSys, 2017)

Apache REEF: Retainable Evaluator Execution Framework. - Byung-Gon Chun; Tyson Condie; Yingda Chen; Brian Cho; Andrew Chung; Carlo Curino; Chris Douglas; Matteo Interlandi; Beomyeol Jeon; Joo Seong Jeong; Gyewon Lee; Yunseong Lee; et al. (ACM Trans. Comput. Syst., 2017)

High-Performance Stateful Stream Processing on Solid-State Drives. - Gyewon Lee; Jeongyoon Eo; Jangho Seo; Taegeon Um; Byung-Gon Chun (APSys, 2018)

Apache Nemo: A Framework for Optimizing Distributed Data Processing. - Won Wook Song; Youngseok Yang; Jeongyoon Eo; Jangho Seo; Joo Yeon Kim; Sanha Lee; Gyewon Lee; Taegeon Um; Haeyoon Cho 001; Byung-Gon Chun (ACM Trans. Comput. Syst., 2020)

SCOPA: Soft Code-Switching and Pairwise Alignment for Zero-Shot Cross-lingual Transfer. - Dohyeon Lee; Jaeseong Lee 002; Gyewon Lee; Byung-Gon Chun; Seung-won Hwang (CIKM, 2021)

Pluto: High-Performance IoT-Aware Stream Processing. - Taegeon Um; Gyewon Lee; Byung-Gon Chun (ICDCS, 2021)

Refurbish Your Training Data: Reusing Partially Augmented Samples for Faster Deep Neural Network Training. - Gyewon Lee; Irene Lee; Hyeonmin Ha; Kyung-Geun Lee; Hwarim Hyun; Ahnjae Shin; Byung-Gon Chun (USENIX ATC, 2021)

FlowKV: A Semantic-Aware Store for Large-Scale State Management of Stream Processing Engines. - Gyewon Lee; Jaewoo Maeng; Jinsol Park; Jangho Seo; Haeyoon Cho 001; Youngseok Yang; Taegeon Um; Jongsung Lee 001; Jae W. Lee; Byung-Gon Chun (EuroSys, 2023)