| 2026 | DATE | MX-SAFE: Versatile Inference-and Training-Proof Microscaling Format with On-the-Fly Exponent and Mantissa Bit Allocation. | Dahoon Park, Jahyun Koo, Sangwoo Hwang, Jaeha Kung |
| 2025 | ASPDAC | RISC-V Driven Orchestration of Vector Processing Units and eFlash Compute-in-Memory Arrays for Fast and Accurate Keyword Spotting. | Gunil Kang, Dahoon Park, Hojin Lee, Sangwoo Jung, Jiyong Park, Jung Gyu Min, Youngjoo Lee, Jaeha Kung |
| 2025 | ISLPED | CAM-CIM: A Hybrid Compute-in-Memory Using Content-Addressable Memory with Subword Split Mapping for Reduced ADC Resolution. | Sangwoo Jung, Hojin Lee, Yejin Lee, Jiyong Park, Dahoon Park, Hyunseob Shin, Jong-Hyeok Yoon, Jaeha Kung |
| 2025 | ISLPED | RIMIX: RISC-V Core with MIXed-Precision SIMD Instruction Extensions Supported by Oracle-Assisted Sub-Network Search for Efficient TinyML. | Jiyong Park, Dahoon Park, Yeeun Hong, Jaeha Kung |
| 2024 | DAC | OPAL: Outlier-Preserved Microscaling Quantization Accelerator for Generative Large Language Models. | Jahyun Koo, Dahoon Park, Sangwoo Jung, Jaeha Kung |
| 2022 | ICCD | LightNorm: Area and Energy-Efficient Batch Normalization Hardware for On-Device DNN Training. | Seock-Hwan Noh, Junsang Park, Dahoon Park, Jahyun Koo, Jeik Choi, Jaeha Kung |
| 2021 | BMVC | ZeBRA: Precisely Destroying Neural Networks with Zero-Data Based Repeated Bit Flip Attack. | Dahoon Park, Kon-Woo Kwon, Sunghoon Im, Jaeha Kung |