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Seongmin Park 0003
Person information
- affiliation: Hanyang University, Department of Electronic Engineering, Seoul, South Korea
Other persons with the same name
- Seongmin Park (aka: Seong-Min Park) — disambiguation page
- Seongmin Park 0001
(aka: Seong-Min Park 0001) — Korea Internet & Security Agency, Seoul, South Korea (and 1 more)
- Seongmin Park 0002
- Seongmin Park 0004 — ActionPower, Seoul, South Korea
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2020 – today
- 2024
- [j1]Seongmin Park
Pruning With Scaled Policy Constraints for Light-Weight Reinforcement Learning. IEEE Access 12: 36055-36065 (2024) - [c5]Janghwan Lee, Seongmin Park, Sukjin Hong, Minsoo Kim, Du-Seong Chang, Jungwook Choi:
Improving Conversational Abilities of Quantized Large Language Models via Direct Preference Alignment. ACL (1) 2024: 11346-11364 - [c4]Minjae Lee, Seongmin Park, Hyungmin Kim, Minyong Yoon, Janghwan Lee, Jun Won Choi, Nam Sung Kim, Mingu Kang, Jungwook Choi:
SPADE: Sparse Pillar-based 3D Object Detection Accelerator for Autonomous Driving. HPCA 2024: 454-467 - [i5]Janghwan Lee, Seongmin Park, Sukjin Hong, Minsoo Kim, Du-Seong Chang, Jungwook Choi:
Improving Conversational Abilities of Quantized Large Language Models via Direct Preference Alignment. CoRR abs/2407.03051 (2024) - 2023
- [c3]Minsoo Kim, Kyuhong Shim, Seongmin Park, Wonyong Sung, Jungwook Choi:
Teacher Intervention: Improving Convergence of Quantization Aware Training for Ultra-Low Precision Transformers. EACL 2023: 916-929 - [i4]Minsoo Kim, Kyuhong Shim
Teacher Intervention: Improving Convergence of Quantization Aware Training for Ultra-Low Precision Transformers. CoRR abs/2302.11812 (2023) - [i3]Minjae Lee, Hyungmin Kim, Seongmin Park, Minyong Yoon, Janghwan Lee, Junwon Choi, Mingu Kang, Jungwook Choi:
PillarAcc: Sparse PointPillars Accelerator for Real-Time Point Cloud 3D Object Detection on Edge Devices. CoRR abs/2305.07522 (2023) - 2022
- [c2]Joonsang Yu, Junki Park, Seongmin Park, Minsoo Kim, Sihwa Lee, Dong Hyun Lee, Jungwook Choi:
NN-LUT: neural approximation of non-linear operations for efficient transformer inference. DAC 2022: 577-582 - [c1]Seongmin Park, Wonyong Sung, Jungwook Choi:
Regularizing Activation Distribution for Ultra Low-bit Quantization-Aware Training of MobileNets. SiPS 2022: 1-6 - [i2]Seongmin Park, Beomseok Kwon, Jieun Lim, Kyuyoung Sim, Taeho Kim, Jungwook Choi:
Automatic Network Adaptation for Ultra-Low Uniform-Precision Quantization. CoRR abs/2212.10878 (2022) - 2021
- [i1]Joonsang Yu, Junki Park, Seongmin Park, Minsoo Kim, Sihwa Lee, Dong Hyun Lee, Jungwook Choi:
NN-LUT: Neural Approximation of Non-Linear Operations for Efficient Transformer Inference. CoRR abs/2112.02191 (2021)
Coauthor Index
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last updated on 2024-10-25 21:17 CEST by the dblp team
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