Pipeline-aware Logic Deduplication in High-Level Synthesis for Post-Quantum Cryptography Algorithms. - Changsu Kim 004; Yongwoo Lee 001; Shinnung Jeong; Wen Wang 007; Jakub Szefer; Hanjun Kim 001 (FPGA, 2020)

Thread-Aware Area-Efficient High-Level Synthesis Compiler for Embedded Devices. - Changsu Kim 004; Shinnung Jeong; Sungjun Cho; Yongwoo Lee 001; William Song; Youngsok Kim; Hanjun Kim 001 (CGO, 2021)

Compiler-Assisted Semantic-Aware Encryption for Efficient and Secure Serverless Computing. - Bongjun Kim; Seonyeong Heo; Jaeho Lee 005; Shinnung Jeong; Yongwoo Lee 001; Hanjun Kim 001 (IEEE Internet Things J., 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)

HECATE: Performance-Aware Scale Optimization for Homomorphic Encryption Compiler. - Yongwoo Lee 001; Seonyeong Heo; Seonyoung Cheon; Shinnung Jeong; Changsu Kim 004; Eunkyung Kim 002; Dongyoon Lee; Hanjun Kim 001 (CGO, 2022)

RTScale: Sensitivity-Aware Adaptive Image Scaling for Real-Time Object Detection. - Seonyeong Heo; Shinnung Jeong; Hanjun Kim 001 (ECRTS, 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)

CR2: Community-aware Compressed Regular Representation for Graph Processing on a GPU. - Shinnung Jeong; Sungjun Cho; Yongwoo Lee 001; Hyunjun Park; Seonyeong Heo; Gwangsun Kim; Youngsok Kim; Hanjun Kim 001 (ICPP, 2024)

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)

Comparative Analysis of Executing GPU Applications on FPGA: HLS vs. Soft GPU Approaches. - Chihyo Ahn; Shinnung Jeong; Liam Paul Cooper; Nicholas Parnenzini; Hyesoon Kim (IPDPS (Workshops), 2024)

SparseWeaver: Converting Sparse Operations as Dense Operations on GPUs for Graph Workloads. - Shinnung Jeong; Liam Paul Coopert; Ju Min Lee; Heelim Choi; Nicholas Parnenzini; Chihyo Ahn; Yongwoo Lee 001; Hanjun Kim 001; Hyesoon Kim (HPCA, 2025)

Hardware vs. Software Implementation of Warp-Level Features in Vortex RISC-V GPU. - Huanzhi Pu; Rishabh Ravi; Shinnung Jeong; Udit Subramanya; Euijun Chung; Jisheng Zhao; Chihyo Ahn; Hyesoon Kim (CoRR, 2025)