Seongmin Park - RankMe

13 papers A* 2A 1Journal 7Unranked 3

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Improving Conversational Abilities of Quantized Large Language Models via Direct Preference Alignment. ACL (1) Janghwan Lee, Seongmin Park, Sukjin Hong, Minsoo Kim, Du-Seong Chang, Jungwook Choi
2024	J	`jnl`	Improving Conversational Abilities of Quantized Large Language Models via Direct Preference Alignment. CoRR Janghwan Lee, Seongmin Park, Sukjin Hong, Minsoo Kim, Du-Seong Chang, Jungwook Choi
2024	J	`jnl`	Pruning With Scaled Policy Constraints for Light-Weight Reinforcement Learning. IEEE Access Seongmin Park, Hyungmin Kim, Hyunhak Kim, Jungwook Choi
2024	A*	`conf`	SPADE: Sparse Pillar-based 3D Object Detection Accelerator for Autonomous Driving. HPCA Minjae Lee, Seongmin Park, Hyungmin Kim, Minyong Yoon, Janghwan Lee, Jun Won Choi, Nam Sung Kim, Mingu Kang, Jungwook Choi
2024	—	`conf`	Selectively Dilated Convolution for Accuracy-Preserving Sparse Pillar-based Embedded 3D Object Detection. CVPR Workshops Seongmin Park, Minjae Lee, Junwon Choi, Jungwook Choi
2024	J	`jnl`	Selectively Dilated Convolution for Accuracy-Preserving Sparse Pillar-based Embedded 3D Object Detection. CoRR Seongmin Park, Minjae Lee, Junwon Choi, Jungwook Choi
2023	J	`jnl`	PillarAcc: Sparse PointPillars Accelerator for Real-Time Point Cloud 3D Object Detection on Edge Devices. CoRR Minjae Lee, Hyungmin Kim, Seongmin Park, Minyong Yoon, Janghwan Lee, Junwon Choi, Mingu Kang, Jungwook Choi
2023	A	`conf`	Teacher Intervention: Improving Convergence of Quantization Aware Training for Ultra-Low Precision Transformers. EACL Minsoo Kim, Kyuhong Shim, Seongmin Park, Wonyong Sung, Jungwook Choi
2023	J	`jnl`	Teacher Intervention: Improving Convergence of Quantization Aware Training for Ultra-Low Precision Transformers. CoRR Minsoo Kim, Kyuhong Shim, Seongmin Park, Wonyong Sung, Jungwook Choi
2022	J	`jnl`	Automatic Network Adaptation for Ultra-Low Uniform-Precision Quantization. CoRR Seongmin Park, Beomseok Kwon, Jieun Lim, Kyuyoung Sim, Taeho Kim, Jungwook Choi
2022	A*	`conf`	NN-LUT: neural approximation of non-linear operations for efficient transformer inference. DAC Joonsang Yu, Junki Park, Seongmin Park, Minsoo Kim, Sihwa Lee, Dong Hyun Lee, Jungwook Choi
2022	—	`conf`	Regularizing Activation Distribution for Ultra Low-bit Quantization-Aware Training of MobileNets. SiPS Seongmin Park, Wonyong Sung, Jungwook Choi
2021	J	`jnl`	NN-LUT: Neural Approximation of Non-Linear Operations for Efficient Transformer Inference. CoRR Joonsang Yu, Junki Park, Seongmin Park, Minsoo Kim, Sihwa Lee, Dong Hyun Lee, Jungwook Choi