SparseFT: Sparsity-aware Fault Tolerance for Reliable CNN Inference on GPUs. - Gwangeun Byeon; Seungtae Lee; Seongwook Kim; Yongjun Kim; Prashant J. Nair; Seokin Hong (PACT, 2023)

Conveyor: Towards Asynchronous Dataflow in Systolic Array to Exploit Unstructured Sparsity. - Seongwook Kim; Gwangeun Byeon; Sihyung Kim; Hyungjin Kim; Seokin Hong (ICCD, 2023)

Improving Performance and Energy-efficiency of DNN Accelerators with STT-RAM Buffers. - Gwangeun Byeon; Seongwook Kim; Seokin Hong (ISOCC, 2023)

A Case for Speculative Address Translation with Rapid Validation for GPUs. - Junhyeok Park 001; Osang Kwon; Yongho Lee; Seongwook Kim; Gwangeun Byeon; Jihun Yoon; Prashant J. Nair; Seokin Hong (MICRO, 2024)

Zebra: Leveraging Diagonal Attention Pattern for Vision Transformer Accelerator. - Sukhyun Han; Seongwook Kim; Gwangeun Byeon; Jihun Yoon; Seokin Hong (DATE, 2025)

Accelerating Deep Neural Networks with a Low-Cost Lossless Compression. - Seongwook Kim; Gwangeun Byeon; Seungeui Lee; Youngseok Bae; Seokin Hong (ICEIC, 2025)

Avalanche: Optimizing Cache Utilization via Matrix Reordering for Sparse Matrix Multiplication Accelerator. - Gwangeun Byeon; Seongwook Kim; Hyungjin Kim; Sukhyun Han; Jinkwon Kim; Prashant J. Nair; Taewook Kang; Seokin Hong (ISCA, 2025)

Don't Cache, Speculate!: Speculative Address Translation for Flash-Based Storage Systems. - Hyungjin Kim; Seongwook Kim; Junhyeok Park 001; Gwangeun Byeon; Seokin Hong (IEEE Access, 2025)