Publications

Insu Choi, Seungchan Lee, Joon-Sung Yang (2026). HiLLM: Heterogeneous CPU–GPU Inference for Interactive MoE LLM Serving on Local Systems. 2026 59th IEEE/ACM International Symposium on Microarchitecture (MICRO).

Jihyun Moon, Insu Choi, Seungchan Lee, Joon-Sung Yang (2025). CAPA: Convertibility-Aware Mixed-Precision Accelerator for Asymmetric GEMM in Weight-Only Quantized LLMs. 2026 63rd ACM/IEEE Design Automation Conference (DAC).

Seongho Kim, Jihyun Moon, Juntaek Oh, Insu Choi, Joon-Sung Yang (2025). Survey and Evaluation of Converging Architecture in LLMs Based on Footsteps of Operations. IEEE Open Journal of the Computer Society (OJCS).

Insu Choi, Jaeyong Chung, Joon-Sung Yang (2025). DBC: Drift-aware Binary Code for Drift-tolerant Deep Neural Networks. 2025 62th ACM/IEEE Design Automation Conference (DAC).

Insu Choi, Young-Seo Yoon, Joon-Sung Yang (2025). Bit-slice Architecture for DNN Acceleration with Slice-level Sparsity Enhancement and Exploitation. 2025 31st IEEE International Symposium on High-Performance Computer Architecture (HPCA).

Dong-Jin Shin, Insu Choi, Joon-Sung Yang (2024). ViT-slice: End-to-end Vision Transformer Accelerator with Bit-slice Algorithm. 2024 61th ACM/IEEE Design Automation Conference (DAC).

Insu Choi, Jae-Youn Hong, JaeHwa Jeon, Joon-Sung Yang (2023). RQ-DNN: Reliable Quantization for Fault-tolerant Deep Neural Networks. 2023 60th ACM/IEEE Design Automation Conference (DAC) Late Breaking Results.

JaeHwa Jeon, Jae-Youn Hong, Sunghoon Kim, Insu Choi, Joon-Sung Yang (2023). PIE-DRAM: Postponing IECC to Enhance DRAM performance with access table. 2023 60th ACM/IEEE Design Automation Conference (DAC) Late Breaking Results.

Suyong Lee, Insu Choi, Joon-Sung Yang (2022). Bipolar vector classifier for fault-tolerant deep neural networks. 2022 59th ACM/IEEE Design Automation Conference (DAC).