Seongmin Hong

35 papers A* 7A 1B 1C 1Journal 18Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
DiffBMP: Differentiable Rendering with Bitmap Primitives.
CoRR
Seongmin Hong, Junghun James Kim, Daehyeop Kim, Insoo Chung, Se Young Chun
2026 J jnl
Fidelity-preserving zero-shot diffusion models for highly ill-posed inverse problems in lensless imaging.
Image Vis. Comput.
Haechang Lee, Dong Ju Mun, Hyunwoo Lee, Kyung Chul Lee, Seongmin Hong, Gwanghyun Kim, Seung Ah Lee, Se Young Chun
2026 J jnl
Unlearning the Unpromptable: Prompt-free Instance Unlearning in Diffusion Models.
CoRR
Kyungryeol Lee, Kyeonghyun Lee, Seongmin Hong, Byung Hyun Lee, Se Young Chun
2025 B conf
ADOR: A Design Exploration Framework for LLM Serving with Enhanced Latency and Throughput.
ISPASS
Junsoo Kim, Hunjong Lee, Geonwoo Ko, Gyubin Choi, Seri Ham, Seongmin Hong, Joo-Young Kim
2025 J jnl
ADOR: A Design Exploration Framework for LLM Serving with Enhanced Latency and Throughput.
CoRR
Junsoo Kim, Hunjong Lee, Geonwoo Ko, Gyubin Choi, Seri Ham, Seongmin Hong, Joo-Young Kim
2025 A* conf
Oaken: Fast and Efficient LLM Serving with Online-Offline Hybrid KV Cache Quantization.
ISCA
Minsu Kim, Seongmin Hong, Ryeowook Ko, Soongyu Choi, Hunjong Lee, Junsoo Kim, Joo-Young Kim, Jongse Park
2025 J jnl
Oaken: Fast and Efficient LLM Serving with Online-Offline Hybrid KV Cache Quantization.
CoRR
Minsu Kim, Seongmin Hong, Ryeowook Ko, Soongyu Choi, Hunjong Lee, Junsoo Kim, Joo-Young Kim, Jongse Park
2025 J jnl
Robust watermarks for audio diffusion models by quadrature amplitude modulation.
Pattern Recognit. Lett.
Kyungryeol Lee, Seongmin Hong, Se Young Chun
2024 J jnl
A Latency Processing Unit: A Latency-Optimized and Highly Scalable Processor for Large Language Model Inference.
IEEE Micro
Seungjae Moon, Jung-Hoon Kim, Junsoo Kim, Seongmin Hong, Junseo Cha, Minsu Kim, Sukbin Lim, Gyubin Choi, Dongjin Seo, Jongho Kim, Hunjong Lee, Hyunjun Park, Ryeowook Ko, Soongyu Choi, Jongse Park, Jinwon Lee, Joo-Young Kim
2024 — conf
Adaptive Selection of Sampling-Reconstruction in Fourier Compressed Sensing.
ECCV (65)
Seongmin Hong, Jaehyeok Bae, Jongho Lee, Se Young Chun
2024 J jnl
Adaptive Selection of Sampling-Reconstruction in Fourier Compressed Sensing.
CoRR
Seongmin Hong, Jaehyeok Bae, Jongho Lee, Se Young Chun
2024 — conf
Compressed Depth Map Super-Resolution and Restoration: AIM 2024 Challenge Results.
ECCV Workshops (10)
Marcos V. Conde, Florin-Alexandru Vasluianu, Jinhui Xiong, Wei Ye, Rakesh Ranjan, Radu Timofte, Huan Zheng, Wencheng Han, Tianyi Yan, Jianbing Shen, Pihai Sun, Yuanqi Yao, Kui Jiang, Wenbo Zhao, Xianming Liu, Evgeny Burnaev, Junjun Jiang, Woojae Han, Kyeonghyun Lee, Seongmin Hong, Se Young Chun, Jinseong Kim, Dohyeong Kim, Jeahwan Kim, Yubo Wang, Chi Zhang, Huizhen Luo, Yansai Wu, Mengcheng Huang, Chengji Liu, Chongli Yve, Jianhang Sun, Cheng Guo, Yingcai Du, Huang Jianhao, Liu Shuai, Li Chenghua
2024 A* conf
Gradient-free Decoder Inversion in Latent Diffusion Models.
NeurIPS
Seongmin Hong, Suh Yoon Jeon, Kyeonghyun Lee, Ernest K. Ryu, Se Young Chun
2024 J jnl
Gradient-free Decoder Inversion in Latent Diffusion Models.
CoRR
Seongmin Hong, Suh Yoon Jeon, Kyeonghyun Lee, Ernest K. Ryu, Se Young Chun
2024 J jnl
LPU: A Latency-Optimized and Highly Scalable Processor for Large Language Model Inference.
CoRR
Seungjae Moon, Jung-Hoon Kim, Junsoo Kim, Seongmin Hong, Junseo Cha, Minsu Kim, Sukbin Lim, Gyubin Choi, Dongjin Seo, Jongho Kim, Hunjong Lee, Hyunjun Park, Ryeowook Ko, Soongyu Choi, Jongse Park, Jinwon Lee, Joo-Young Kim
2024 A* conf
On Exact Inversion of DPM-Solvers.
CVPR
Seongmin Hong, Kyeonghyun Lee, Suh Yoon Jeon, Hyewon Bae, Se Young Chun
2023 J jnl
Accelerating Deep Convolutional Neural Networks Using Number Theoretic Transform.
IEEE Trans. Circuits Syst. I Regul. Pap.
Prasetiyo, Seongmin Hong, Yashael Faith Arthanto, Joo-Young Kim
2023 — conf
HyperAccel Latency Processing Unit (LPU
HCS
Seungjae Moon, Junsoo Kim, Jung-Hoon Kim, Junseo Cha, Gyubin Choi, Seongmin Hong, Joo-Young Kim
2023 A* conf
Neural Diffeomorphic Non-uniform B-spline Flows.
AAAI
Seongmin Hong, Se Young Chun
2023 J jnl
Neural Diffeomorphic Non-uniform B-spline Flows.
CoRR
Seongmin Hong, Se Young Chun
2023 J jnl
On Exact Inversion of DPM-Solvers.
CoRR
Seongmin Hong, Kyeonghyun Lee, Suh Yoon Jeon, Hyewon Bae, Se Young Chun
2023 A* conf
On the Robustness of Normalizing Flows for Inverse Problems in Imaging.
ICCV
Seongmin Hong, Inbum Park, Se Young Chun
2022 — conf
DFX: A Low-latency Multi-FPGA Appliance for Accelerating Transformer-based Text Generation.
HCS
Seongmin Hong, Seungjae Moon, Junsoo Kim, Sungjae Lee, Minsub Kim, Dongsoo Lee, Joo-Young Kim
2022 A* conf
DFX: A Low-latency Multi-FPGA Appliance for Accelerating Transformer-based Text Generation.
MICRO
Seongmin Hong, Seungjae Moon, Junsoo Kim, Sungjae Lee, Minsub Kim, Dongsoo Lee, Joo-Young Kim
2022 J jnl
DFX: A Low-latency Multi-FPGA Appliance for Accelerating Transformer-based Text Generation.
CoRR
Seongmin Hong, Seungjae Moon, Junsoo Kim, Sungjae Lee, Minsub Kim, Dongsoo Lee, Joo-Young Kim
2022 J jnl
Dynamic Rate Neural Acceleration Using Multiprocessing Mode Support.
IEEE Trans. Very Large Scale Integr. Syst.
Inho Lee, Yangki Lee, Hongjun Um, Seongmin Hong, Yongjun Park
2022 — conf
Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report.
ECCV Workshops (3)
Andrey Ignatov, Grigory Malivenko, Radu Timofte, Lukasz Treszczotko, Xin Chang, Piotr Ksiazek, Michal Lopuszynski, Maciej Pioro, Rafal Rudnicki, Maciej Smyl, Yujie Ma, Zhenyu Li, Zehui Chen, Jialei Xu, Xianming Liu, Junjun Jiang, XueChao Shi, Difan Xu, Yanan Li, Xiaotao Wang, Lei Lei, Ziyu Zhang, Yicheng Wang, Zilong Huang, Guozhong Luo, Gang Yu, Bin Fu, Jiaqi Li, Yiran Wang, Zihao Huang, Zhiguo Cao, Marcos V. Conde, Denis Sapozhnikov, Byeong Hyun Lee, Dongwon Park, Seongmin Hong, Joonhee Lee, Seunggyu Lee, Se Young Chun
2022 J jnl
Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report.
CoRR
Andrey Ignatov, Grigory Malivenko, Radu Timofte, Lukasz Treszczotko, Xin Chang, Piotr Ksiazek, Michal Lopuszynski, Maciej Pioro, Rafal Rudnicki, Maciej Smyl, Yujie Ma, Zhenyu Li, Zehui Chen, Jialei Xu, Xianming Liu, Junjun Jiang, XueChao Shi, Difan Xu, Yanan Li, Xiaotao Wang, Lei Lei, Ziyu Zhang, Yicheng Wang, Zilong Huang, Guozhong Luo, Gang Yu, Bin Fu, Jiaqi Li, Yiran Wang, Zihao Huang, Zhiguo Cao, Marcos V. Conde, Denis Sapozhnikov, Byeong Hyun Lee, Dongwon Park, Seongmin Hong, Joonhee Lee, Seunggyu Lee, Se Young Chun
2022 — conf
Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 Challenge: Report.
ECCV Workshops (3)
Andrey Ignatov, Radu Timofte, Maurizio Denna, Abdel Younes, Ganzorig Gankhuyag, Jingang Huh, Myeong Kyun Kim, Kihwan Yoon, Hyeon-Cheol Moon, Seungho Lee, Yoonsik Choe, JinWoo Jeong, SungJei Kim, Maciej Smyl, Tomasz Latkowski, Pawel Kubik, Michal Sokolski, Yujie Ma, Jiahao Chao, Zhou Zhou, Hongfan Gao, Zhengfeng Yang, Zhenbing Zeng, Zhengyang Zhuge, Chenghua Li, Dan Zhu, Mengdi Sun, Ran Duan, Yan Gao, Lingshun Kong, Long Sun, Xiang Li, Xingdong Zhang, Jiawei Zhang, Yaqi Wu, Jinshan Pan, Gaocheng Yu, Jin Zhang, Feng Zhang, Zhe Ma, Hongbin Wang, Hojin Cho, Steve Kim, Huaen Li, Yanbo Ma, Ziwei Luo, Youwei Li, Lei Yu, Zhihong Wen, Qi Wu, Haoqiang Fan, Shuaicheng Liu, Lize Zhang, Zhikai Zong, Jeremy Kwon, Junxi Zhang, Mengyuan Li, Nianxiang Fu, Guanchen Ding, Han Zhu, Zhenzhong Chen, Gen Li, Yuanfan Zhang, Lei Sun, Dafeng Zhang, Neo Yang, Fitz Liu, Jerry Zhao, Mustafa Ayazoglu, Bahri Batuhan Bilecen, Shota Hirose, Kasidis Arunruangsirilert, Luo Ao, Ho Chun Leung, Andrew Wei, Jie Liu, Qiang Liu, Dahai Yu, Ao Li, Lei Luo, Ce Zhu, Seongmin Hong, Dongwon Park, Joonhee Lee, Byeong Hyun Lee, Seunggyu Lee, Se Young Chun, Ruiyuan He, Xuhao Jiang, Haihang Ruan, Xinjian Zhang, Jing Liu, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He
2022 J jnl
On the Robustness of Normalizing Flows for Inverse Problems in Imaging.
CoRR
Seongmin Hong, Inbum Park, Se Young Chun
2021 A* conf
FIXAR: A Fixed-Point Deep Reinforcement Learning Platform with Quantization-Aware Training and Adaptive Parallelism.
DAC
Je Yang, Seongmin Hong, Joo-Young Kim
2021 J jnl
FIXAR: A Fixed-Point Deep Reinforcement Learning Platform with Quantization-Aware Training and Adaptive Parallelism.
CoRR
Je Yang, Seongmin Hong, Joo-Young Kim
2018 C conf
Automated Neural Network Accelerator Generation Framework for Multiple Neural Network Applications.
TENCON
Inho Lee, Seongmin Hong, Giha Ryu, Yongjun Park
2018 A conf
NN compactor: Minimizing memory and logic resources for small neural networks.
DATE
Seongmin Hong, Inho Lee, Yongjun Park
2017 — conf
A FPGA-based neural accelerator for small IoT devices.
ISOCC
Seongmin Hong, Yongjun Park