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ORCIDDahoon Park
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2020 – today
- 2026
[j2]Dahoon Park
, Hyungdong Park, Inguk Yeo, Jiyun Kim, Sunghyun Lee, Suhak Lee, Hyunseob Shin, Sung-il Pae, Deliang Fan, Jaeha Kung, Kon-Woo Kwon:
A Survey on Binary and Ternary Neural Networks and Their Realization in Compute-in-Memory for Edge Intelligence. IEEE Internet Things J. 13(2): 3433-3458 (2026)- 2025
- [c8]Gunil Kang, Dahoon Park, Hojin Lee, Sangwoo Jung, Jiyong Park, Jung Gyu Min, Youngjoo Lee, Jaeha Kung:
RISC-V Driven Orchestration of Vector Processing Units and eFlash Compute-in-Memory Arrays for Fast and Accurate Keyword Spotting. ASP-DAC 2025: 1174-1180 - [c7]Sangwoo Jung, Hojin Lee, Yejin Lee, Jiyong Park, Dahoon Park, Hyunseob Shin, Jong-Hyeok Yoon, Jaeha Kung:
CAM-CIM: A Hybrid Compute-in-Memory Using Content-Addressable Memory with Subword Split Mapping for Reduced ADC Resolution. ISLPED 2025: 1-7 - [c6]Jiyong Park, Dahoon Park, Yeeun Hong, Jaeha Kung:
RIMIX: RISC-V Core with MIXed-Precision SIMD Instruction Extensions Supported by Oracle-Assisted Sub-Network Search for Efficient TinyML. ISLPED 2025: 1-7 - 2024
- [j1]Sangwoo Jung, Jaehyun Lee, Dahoon Park, Youngjoo Lee, Jong-Hyeok Yoon, Jaeha Kung:
A Dual-Precision and Low-Power CNN Inference Engine Using a Heterogeneous Processing-in-Memory Architecture. IEEE Trans. Circuits Syst. I Regul. Pap. 71(12): 5546-5559 (2024) - [c5]Dong-gu Choi, Jaehyun Lee, Jahyun Koo, Woo Kyoung Han, Dahoon Park, Jaeha Kung, Junghyup Lee, Jong-Hyeok Yoon:
A 65nm 687.5-TOPS/W Drive Strength-based SRAM Compute-In-Memory Macro with Adaptive Dynamic Range for Edge AI applications. A-SSCC 2024: 1-3 - [c4]Jahyun Koo, Dahoon Park, Sangwoo Jung, Jaeha Kung:
OPAL: Outlier-Preserved Microscaling Quantization Accelerator for Generative Large Language Models. DAC 2024: 259:1-259:6 - [c3]Sangwoo Hwang, Seunghyun Lee, Dahoon Park, Donghun Lee, Jaeha Kung:
SpikedAttention: Training-Free and Fully Spike-Driven Transformer-to-SNN Conversion with Winner-Oriented Spike Shift for Softmax Operation. NeurIPS 2024 - [i3]Jahyun Koo, Dahoon Park, Sangwoo Jung, Jaeha Kung:
OPAL: Outlier-Preserved Microscaling Quantization Accelerator for Generative Large Language Models. CoRR abs/2409.05902 (2024) - 2022
- [c2]Seock-Hwan Noh, Junsang Park, Dahoon Park, Jahyun Koo, Jeik Choi, Jaeha Kung:
LightNorm: Area and Energy-Efficient Batch Normalization Hardware for On-Device DNN Training. ICCD 2022: 443-450 - [i2]Seock-Hwan Noh, Junsang Park, Dahoon Park, Jahyun Koo, Jeik Choi, Jaeha Kung:
LightNorm: Area and Energy-Efficient Batch Normalization Hardware for On-Device DNN Training. CoRR abs/2211.02686 (2022) - 2021
- [c1]Dahoon Park, Kon-Woo Kwon, Sunghoon Im, Jaeha Kung:
ZeBRA: Precisely Destroying Neural Networks with Zero-Data Based Repeated Bit Flip Attack. BMVC 2021: Article 48 - [i1]Dahoon Park, Kon-Woo Kwon, Sunghoon Im, Jaeha Kung:
ZeBRA: Precisely Destroying Neural Networks with Zero-Data Based Repeated Bit Flip Attack. CoRR abs/2111.01080 (2021)
Coauthor Index
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