FPGA-Accelerated Time Series Mining on Low-Power IoT Devices. - Seongyoung Kang; Jinyeong Moon; Sang-Woo Jun (ASAP, 2020)

BurstZ: a bandwidth-efficient scientific computing accelerator platform for large-scale data. - Gongjin Sun; Seongyoung Kang; Sang-Woo Jun (ICS, 2020)

: Near-Storage Accelerator for High-Performance Log Analytics. - Seongyoung Kang; Jiyoung An; Jinpyo Kim; Sang-Woo Jun (MICRO, 2021)

BunchBloomer: Cost-Effective Bloom Filter Accelerator for Genomics Applications. - Seongyoung Kang; Tarun Sai Ganesh Nerella; Shashank Uppoor; Sang-Woo Jun (FPL, 2022)

BurstZ+: Eliminating The Communication Bottleneck of Scientific Computing Accelerators via Accelerated Compression. - Gongjin Sun; Seongyoung Kang; Sang-Woo Jun (ACM Trans. Reconfigurable Technol. Syst., 2022)

Near-Storage Accelerator for Bulk Graph Ingestion. - Seongyoung Kang; Sang-Woo Jun (IPDPS Workshops, 2023)

Sting: Near-storage accelerator framework for scalable triangle counting and beyond. - Seongyoung Kang; Sang-Woo Jun (DAC, 2024)

Labidus: RISC-V Overlay with Streaming Asynchronous Custom Instructions. - Gongjin Sun; Seongyoung Kang; Jane He; Se-Min Lim; Sang-Woo Jun (ASAP, 2025)

Bancroft: Genomics Acceleration Beyond On-Device Memory. - Se-Min Lim; Seongyoung Kang; Sang-Woo Jun (CoRR, 2025)